Funding, Deals & Partnerships: BIOLOGICS & MEDICAL DEVICES; BioMed e-Series; Medicine and Life Sciences Scientific Journal – http://PharmaceuticalIntelligence.com
This session will provide information regarding methodologic and computational aspects of proteogenomic analysis of tumor samples, particularly in the context of clinical trials. Availability of comprehensive proteomic and matching genomic data for tumor samples characterized by the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) and The Cancer Genome Atlas (TCGA) program will be described, including data access procedures and informatic tools under development. Recent advances on mass spectrometry-based targeted assays for inclusion in clinical trials will also be discussed.
Amanda G Paulovich, Shankha Satpathy, Meenakshi Anurag, Bing Zhang, Steven A Carr
Methods and tools for comprehensive proteogenomic characterization of bulk tumor to needle core biopsies
Shankha Satpathy
TCGA has 11,000 cancers with >20,000 somatic alterations but only 128 proteins as proteomics was still young field
CPTAC is NCI proteomic effort
Chemical labeling approach now method of choice for quantitative proteomics
Looked at ovarian and breast cancers: to measure PTM like phosphorylated the sample preparation is critical
Data access and informatics tools for proteogenomics analysis
Bing Zhang
Raw and processed data (raw MS data) with linked clinical data can be extracted in CPTAC
Python scripts are available for bioinformatic programming
Pathways to clinical translation of mass spectrometry-based assays
Meenakshi Anurag
· Using kinase inhibitor pulldown (KIP) assay to identify unique kinome profiles
· Found single strand break repair defects in endometrial luminal cases, especially with immune checkpoint prognostic tumors
· Paper: JNCI 2019 analyzed 20,000 genes correlated with ET resistant in luminal B cases (selected for a list of 30 genes)
· Validated in METABRIC dataset
· KIP assay uses magnetic beads to pull out kinases to determine druggable kinases
· Looked in xenografts and was able to pull out differential kinomes
· Matched with PDX data so good clinical correlation
· Were able to detect ESR1 fusion correlated with ER+ tumors
The adoption of omic technologies in the cancer clinic is giving rise to an increasing number of large-scale high-dimensional datasets recording multiple aspects of the disease. This creates the need for frameworks for translatable discovery and learning from such data. Like artificial intelligence (AI) and machine learning (ML) for the cancer lab, methods for the clinic need to (i) compare and integrate different data types; (ii) scale with data sizes; (iii) prove interpretable in terms of the known biology and batch effects underlying the data; and (iv) predict previously unknown experimentally verifiable mechanisms. Methods for the clinic, beyond the lab, also need to (v) produce accurate actionable recommendations; (vi) prove relevant to patient populations based upon small cohorts; and (vii) be validated in clinical trials. In this educational session we will present recent studies that demonstrate AI and ML translated to the cancer clinic, from prognosis and diagnosis to therapy.
NOTE: Dr. Fish’s talk is not eligible for CME credit to permit the free flow of information of the commercial interest employee participating.
Ron C. Anafi, Rick L. Stevens, Orly Alter, Guy Fish
Overview of AI approaches in cancer research and patient care
Rick L. Stevens
Deep learning is less likely to saturate as data increases
Deep learning attempts to learn multiple layers of information
The ultimate goal is prediction but this will be the greatest challenge for ML
ML models can integrate data validation and cross database validation
What limits the performance of cross validation is the internal noise of data (reproducibility)
Learning curves: not the more data but more reproducible data is important
Neural networks can outperform classical methods
Important to measure validation accuracy in training set. Class weighting can assist in development of data set for training set especially for unbalanced data sets
Discovering genome-scale predictors of survival and response to treatment with multi-tensor decompositions
Orly Alter
Finding patterns using SVD component analysis. Gene and SVD patterns match 1:1
Comparative spectral decompositions can be used for global datasets
Validation of CNV data using this strategy
Found Ras, Shh and Notch pathways with altered CNV in glioblastoma which correlated with prognosis
These predictors was significantly better than independent prognostic indicator like age of diagnosis
Identifying targets for cancer chronotherapy with unsupervised machine learning
Ron C. Anafi
Many clinicians have noticed that some patients do better when chemo is given at certain times of the day and felt there may be a circadian rhythm or chronotherapeutic effect with respect to side effects or with outcomes
ML used to determine if there is indeed this chronotherapy effect or can we use unstructured data to determine molecular rhythms?
Found a circadian transcription in human lung
Most dataset in cancer from one clinical trial so there might need to be more trials conducted to take into consideration circadian rhythms
Stratifying patients by live-cell biomarkers with random-forest decision trees
Stratifying patients by live-cell biomarkers with random-forest decision trees
Guy Fish CEO Cellanyx Diagnostics
Some clinicians feel we may be overdiagnosing and overtreating certain cancers, especially the indolent disease
This educational session focuses on the chronic wound healing, fibrosis, and cancer “triad.” It emphasizes the similarities and differences seen in these conditions and attempts to clarify why sustained fibrosis commonly supports tumorigenesis. Importance will be placed on cancer-associated fibroblasts (CAFs), vascularity, extracellular matrix (ECM), and chronic conditions like aging. Dr. Dvorak will provide an historical insight into the triad field focusing on the importance of vascular permeability. Dr. Stewart will explain how chronic inflammatory conditions, such as the aging tumor microenvironment (TME), drive cancer progression. The session will close with a review by Dr. Cukierman of the roles that CAFs and self-produced ECMs play in enabling the signaling reciprocity observed between fibrosis and cancer in solid epithelial cancers, such as pancreatic ductal adenocarcinoma.
Harold F Dvorak, Sheila A Stewart, Edna Cukierman
The importance of vascular permeability in tumor stroma generation and wound healing
Harold F Dvorak
Aging in the driver’s seat: Tumor progression and beyond
Sheila A Stewart
Why won’t CAFs stay normal?
Edna Cukierman
Tuesday, June 23
3:00 PM – 5:00 PM EDT
Other Articles on this Open Access Online Journal on Cancer Conferences and Conference Coverage in Real Time Include
Actemra, immunosuppressive which was designed to treat rheumatoid arthritis but also approved in 2017 to treat cytokine storms in cancer patients SAVED the sickest of all COVID-19 patients
Reporter: Aviva Lev-Ari, PhD, RN
Emergency room doctor, near death with coronavirus, saved with experimental treatment
Soon after being admitted to his own hospital with a fever, cough and difficulty breathing, he was placed on a ventilator. Five days after that, his lungs and kidneys were failing, his heart was in trouble, and doctors figured he had a day or so to live.
He owes his survival to an elite team of doctors who tried an experimental treatment pioneered in China and used on the sickest of all COVID-19 patients.
Lessons from his dramatic recovery could help doctors worldwide treat other extremely ill COVID-19 patients.
Based on the astronomical level of inflammation in his body and reports written by Chinese and Italian physicians who had treated the sickest COVID-19 patients, the doctors came to believe that it was not the disease itself killing him but his own immune system.
It had gone haywire and began to attack itself — a syndrome known as a “cytokine storm.”
The immune system normally uses proteins called cytokines as weapons in fighting a disease. For unknown reasons in some COVID-19 patients, the immune system first fails to respond quickly enough and then floods the body with cytokines, destroying blood vessels and filling the lungs with fluid.
Dr. Matt Hartman, a cardiologist, said that after four days on the immunosuppressive drug, supplemented by high-dose vitamin C and other therapies, the level of oxygen in Padgett’s blood improved dramatically. On March 23, doctors were able to take him off life support.
Four days later, they removed his breathing tube. He slowly came out of his sedated coma, at first imagining that he was in the top floor of the Space Needle converted to a COVID ward.
Gender affects the prevalence of the cancer type, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)
Reporter and Curator: Dr. Sudipta Saha, Ph.D.
Gender of a person can affect the kinds of cancer-causing mutations they develop, according to a genomic analysis spanning nearly 2,000 tumours and 28 types of cancer. The results show striking differences in the cancer-causing mutations found in people who are biologically male versus those who are biologically female — not only in the number of mutations lurking in their tumours, but also in the kinds of mutations found there.
Liver tumours from women were more likely to carry mutations caused by a faulty system of DNA mending called mismatch repair, for instance. And men with any type of cancer were more likely to exhibit DNA changes thought to be linked to a process that the body uses to repair DNA with two broken strands. These biases could point researchers to key biological differences in how tumours develop and evolve across sexes.
The data add to a growing realization that sex is important in cancer, and not only because of lifestyle differences. Lung and liver cancer, for example, are more common in men than in women — even after researchers control for disparities in smoking or alcohol consumption. The source of that bias, however, has remained unclear.
In 2014, the US National Institutes of Health began encouraging researchers to consider sex differences in preclinical research by, for example, including female animals and cell lines from women in their studies. And some studies have since found sex-linked biases in the frequency of mutations in protein-coding genes in certain cancer types, including some brain cancers and advanced melanoma.
But the present study is the most comprehensive study of sex differences in tumour genomes so far. It looks at mutations not only in genes that code for proteins, but also in the vast expanses of DNA that have other functions, such as controlling when genes are turned on or off. The study also compares male and female genomes across many different cancers, which can allow researchers to pick up on additional patterns of DNA mutations, in part by increasing the sample sizes.
Researchers analysed full genome sequences gathered by the International Cancer Genome Consortium. They looked at differences in the frequency of 174 mutations known to drive cancer, and found that some of these mutations occurred more frequently in men than in women, and vice versa. When they looked more broadly at the loss or duplication of DNA segments in the genome, they found 4,285 sex-biased genes spread across 15 chromosomes.
There were also differences found when some mutations seemed to arise during tumour development, suggesting that some cancers follow different evolutionary paths in men and women. Researchers also looked at particular patterns of DNA changes. Such patterns can, in some cases, reflect the source of the mutation. Tobacco smoke, for example, leaves behind a particular signature in the DNA.
Taken together, the results highlight the importance of accounting for sex, not only in clinical trials but also in preclinical studies. This could eventually allow researchers to pin down the sources of many of the differences found in this study. Liver cancer is roughly three times as common in men as in women in some populations, and its incidence is increasing in some countries. A better understanding of its aetiology may turn out to be really important for prevention strategies and treatments.
Immunotherapy may help in glioblastoma survival, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)
Reporter and Curator: Dr. Sudipta Saha, Ph.D.
Glioblastoma is the most common primary malignant brain tumor in adults and is associated with poor survival. But, in a glimmer of hope, a recent study found that a drug designed to unleash the immune system helped some patients live longer. Glioblastoma powerfully suppresses the immune system, both at the site of the cancer and throughout the body, which has made it difficult to find effective treatments. Such tumors are complex and differ widely in their behavior and characteristics.
A small randomized, multi-institution clinical trial was conducted and led by researchers at the University of California at Los Angeles involved patients who had a recurrence of glioblastoma, the most common central nervous system cancer. The aim was to evaluate immune responses and survival following neoadjuvant and/or adjuvant therapy with pembrolizumab (checkpoint inhibitor) in 35 patients with recurrent, surgically resectable glioblastoma. Patients who were randomized to receive neoadjuvant pembrolizumab, with continued adjuvant therapy following surgery, had significantly extended overall survival compared to patients that were randomized to receive adjuvant, post-surgical programmed cell death protein 1 (PD-1) blockade alone.
Neoadjuvant PD-1 blockade was associated with upregulation of T cell– and interferon-γ-related gene expression, but downregulation of cell-cycle-related gene expression within the tumor, which was not seen in patients that received adjuvant therapy alone. Focal induction of programmed death-ligand 1 in the tumor microenvironment, enhanced clonal expansion of T cells, decreased PD-1 expression on peripheral blood T cells and a decreasing monocytic population was observed more frequently in the neoadjuvant group than in patients treated only in the adjuvant setting. These findings suggest that the neoadjuvant administration of PD-1 blockade enhanced both the local and systemic antitumor immune response and may represent a more efficacious approach to the treatment of this uniformly lethal brain tumor.
Immunotherapy has not proved to be effective against glioblastoma. This small clinical trial explored the effect of PD-1 blockade on recurrent glioblastoma in relation to the timing of administration. A total of 35 patients undergoing resection of recurrent disease were randomized to either neoadjuvant or adjuvant pembrolizumab, and surgical specimens were compared between the two groups. Interestingly, the tumoral gene expression signature varied between the two groups, such that those who received neoadjuvant pembrolizumab displayed an INF-γ gene signature suggestive of T-cell activation as well as suppression of cell-cycle signaling, possibly consistent with growth arrest. Although the study was not powered for efficacy, the group found an increase in overall survival in patients receiving neoadjuvant pembrolizumab compared with adjuvant pembrolizumab of 13.7 months versus 7.5 months, respectively.
In this small pilot study, neoadjuvant PD-1 blockade followed by surgical resection was associated with intratumoral T-cell activation and inhibition of tumor growth as well as longer survival. How the drug works in glioblastoma has not been totally established. The researchers speculated that giving the drug before surgery prompted T-cells within the tumor, which had been impaired, to attack the cancer and extend lives. The drug didn’t spur such anti-cancer activity after the surgery because those T-cells were removed along with the tumor. The results are very important and very promising but would need to be validated in much larger trials.
Tumor Ammonia Recycling: How Cancer Cells Use Glutamate Dehydrogenase to Recycle Tumor Microenvironment Waste Products for Biosynthesis
Reporter: Stephen J. Williams, PhD
A feature of the tumorigenic process is the rewiring of the metabolic processes that provides a tumor cell the ability to grow and thrive in conditions of limiting nutrients as well as the ability to utilize waste products in salvage pathways for production of new biomass (amino acids, nucleic acids etc.) required for cellular growth and division 1-8. A Science article from Spinelli et al. 9 (and corresponding Perspective article in the same issue by Dr. Chi V. Dang entitled Feeding Frenzy for Cancer Cells10) describes the mechanism by which estrogen-receptor positive (ER+) breast cancer cells convert glutamine to glutamate, release ammonia into the tumor microenvironment, diffuses into tumor cells and eventually recycle this ammonia by reductive amination of a-ketoglutarate by glutamate dehydrogenase (GDH) to produce glutamic acid and subsequent other amino acids needed for biomass production. Ammonia can accumulate in the tumor microenvironment in poorly vascularized tumor. Thus ammonia becomes an important nitrogen source for tumor cells.
Mammalian cells have a variety of mechanisms to metabolize ammonia including
Glutamate synthetase (GS) in the liver can incorporate ammonia into glutamate to form glutamine
glutamate dehydrogenase (GDH) converts glutamate to a-ketoglutarate and ammonia under allosteric regulation (discussed in a post on this site by Dr. Larry H. Berstein; subsection Drugging Glutaminolysis)
the reverse reaction of GDH, which was found to occur in ER+ breast cancer cells, a reductive amination of a-ketoglutarate to glutamate11, is similar to the reductive carboxylation of a-ketoglutarate to citrate by isocitrate dehydrogenase (IDH) for fatty acid synthesis (IDH is overexpressed in many tumor types including cancer stem cells 12-15), and involved in immune response and has been developed as a therapeutic target for various cancers. IDH mutations were shown to possess the neomorphic activity to generate the oncometabolite, 2-hydroxyglutarate (2HG) 16-18. With a single codon substitution, the kinetic properties of the mutant IDH isozyme are significantly altered, resulting in an obligatory sequential ordered reaction in the reverse direction 19.
In the Science paper, Spinelli et al. report that ER+ breast cancer cells have the ability to utilize ammonia sources from their surroundings in order to produce amino acids and biomass as these ER+ breast cancer cells have elevated levels of GS and GDH with respect to other breast cancer histotypes.
GDH was elevated in ER+ luminal cancer cells and the quiescent epithelial cells in organoid culture
However proliferative cells were dependent on transaminases, which transfers nitrogen from glutamate to pyruvate or oxaloacetate to form a-ketoglutarate and alanine or aspartate. a-ketoglutarate is further metabolized in the citric acid cycle.
Spinelli et al. showed GDH is necessary for ammonia reductive incorporation into a-ketoglutarate and also required for ER+ breast cancer cell growth in immunocompromised mice.
In addition, as commented by Dr. Dang in his associated Perspectives article, (quotes indent)
The metabolic tumor microenvironment produced by resident cells, such as fibroblasts and macrophages, can create an immunosuppressive environment 20. Hence, it will be of great interest to further understand whether products such as ammonia could affect tumor immunity or induce autophagy (end quote indent)
Figure 2. Tumor ammonia recycling. Source: From Chi V. Dang Feeding Frenzy for cancer cells. Rights from RightsLink (copyright.com)
Science 17 Nov 2017:Vol. 358, Issue 6365, pp. 941-946 DOI: 10.1126/science.aam9305
Abstract
Ammonia is a ubiquitous by-product of cellular metabolism; however, the biological consequences of ammonia production are not fully understood, especially in cancer. We found that ammonia is not merely a toxic waste product but is recycled into central amino acid metabolism to maximize nitrogen utilization. In our experiments, human breast cancer cells primarily assimilated ammonia through reductive amination catalyzed by glutamate dehydrogenase (GDH); secondary reactions enabled other amino acids, such as proline and aspartate, to directly acquire this nitrogen. Metabolic recycling of ammonia accelerated proliferation of breast cancer. In mice, ammonia accumulated in the tumor microenvironment and was used directly to generate amino acids through GDH activity. These data show that ammonia is not only a secreted waste product but also a fundamental nitrogen source that can support tumor biomass.
References
1 Strickaert, A. et al. Cancer heterogeneity is not compatible with one unique cancer cell metabolic map. Oncogene36, 2637-2642, doi:10.1038/onc.2016.411 (2017).
2 Hui, S. et al. Glucose feeds the TCA cycle via circulating lactate. Nature551, 115-118, doi:10.1038/nature24057 (2017).
3 Mashimo, T. et al. Acetate is a bioenergetic substrate for human glioblastoma and brain metastases. Cell159, 1603-1614, doi:10.1016/j.cell.2014.11.025 (2014).
4 Sousa, C. M. et al. Erratum: Pancreatic stellate cells support tumour metabolism through autophagic alanine secretion. Nature540, 150, doi:10.1038/nature19851 (2016).
5 Sousa, C. M. et al. Pancreatic stellate cells support tumour metabolism through autophagic alanine secretion. Nature536, 479-483, doi:10.1038/nature19084 (2016).
6 Commisso, C. et al. Macropinocytosis of protein is an amino acid supply route in Ras-transformed cells. Nature497, 633-637, doi:10.1038/nature12138 (2013).
7 Hanahan, D. & Weinberg, R. A. The hallmarks of cancer. Cell100, 57-70 (2000).
8 Hanahan, D. & Weinberg, R. A. Hallmarks of cancer: the next generation. Cell144, 646-674, doi:10.1016/j.cell.2011.02.013 (2011).
9 Spinelli, J. B. et al. Metabolic recycling of ammonia via glutamate dehydrogenase supports breast cancer biomass. Science358, 941-946, doi:10.1126/science.aam9305 (2017).
10 Dang, C. V. Feeding frenzy for cancer cells. Science358, 862-863, doi:10.1126/science.aaq1070 (2017).
11 Smith, T. J. & Stanley, C. A. Untangling the glutamate dehydrogenase allosteric nightmare. Trends in biochemical sciences33, 557-564, doi:10.1016/j.tibs.2008.07.007 (2008).
12 Metallo, C. M. et al. Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia. Nature481, 380-384, doi:10.1038/nature10602 (2011).
13 Garrett, M. et al. Metabolic characterization of isocitrate dehydrogenase (IDH) mutant and IDH wildtype gliomaspheres uncovers cell type-specific vulnerabilities. Cancer & metabolism6, 4, doi:10.1186/s40170-018-0177-4 (2018).
14 Calvert, A. E. et al. Cancer-Associated IDH1 Promotes Growth and Resistance to Targeted Therapies in the Absence of Mutation. Cell reports19, 1858-1873, doi:10.1016/j.celrep.2017.05.014 (2017).
15 Sciacovelli, M. & Frezza, C. Metabolic reprogramming and epithelial-to-mesenchymal transition in cancer. The FEBS journal284, 3132-3144, doi:10.1111/febs.14090 (2017).
16 Dang, L. et al. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate. Nature462, 739-744, doi:10.1038/nature08617 (2009).
17 Gross, S. et al. Cancer-associated metabolite 2-hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutations. The Journal of experimental medicine207, 339-344, doi:10.1084/jem.20092506 (2010).
18 Ward, P. S. et al. The common feature of leukemia-associated IDH1 and IDH2 mutations is a neomorphic enzyme activity converting alpha-ketoglutarate to 2-hydroxyglutarate. Cancer cell17, 225-234, doi:10.1016/j.ccr.2010.01.020 (2010).
19 Rendina, A. R. et al. Mutant IDH1 enhances the production of 2-hydroxyglutarate due to its kinetic mechanism. Biochemistry52, 4563-4577, doi:10.1021/bi400514k (2013).
20 Zhang, X. et al. IDH mutant gliomas escape natural killer cell immune surveillance by downregulation of NKG2D ligand expression. Neuro-oncology18, 1402-1412, doi:10.1093/neuonc/now061 (2016).
Other articles on this Open Access Journal on Cancer Metabolism Include:
LIVE 9/21 3:20PM to 6:40PM KINASE INHIBITORS FOR CANCER IMMUNOTHERAPY COMBINATIONS & KINASE INHIBITORS FOR AUTOIMMUNE AND INFLAMMATORY DISEASES at CHI’s 14thDiscovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston
KINASE INHIBITORS FOR CANCER IMMUNOTHERAPY COMBINATIONS
3:20 Chairperson’s Opening Remarks
Guido J.R. Zaman, Ph.D., Managing Director & Head of Biology, Netherlands Translational Research Center B.V. (NTRC)
3:25 FEATURED PRESENTATION: Inhibition of PI3K and Tubulin
Doriano Fabbro, Ph.D., CSO, PIQUR Therapeutics
The PI3K signaling pathway is frequently activated in tumors. PQR309 is a selective dual inhibitor of PI3K and mTOR (currently in Phase I) in cancer patients. The preclinical pharmacology and toxicology of PQR309 is presented, including its activity in lymphoma preclinical models. In addition, we elucidate structural factors defining the PI3K inhibitory activity and tubulin-binding of PQR309 derivatives.
PQR309 & GDC0941 arrest cells i G1/S (typical for PI3K/mTOR Inhibitor)
What drives Antiproliferative Activity of BKM120: PI3K or MT or both?
BKM120 Binds to beta-Tubulin/alpha -Tubulin Interfere
T2R-TTL complex
Orientation of BKM120 in PI3K
PQR309 – is a brain penetrating, PK and BAV by PO, good metabolic stability
PQR309 ANti-proliferative in Lymphoma
Clinical efficacy – Now in Phase II
4:05 Design and Development of a Novel PI3K-p110β/δ Inhibitor, KA2237 with Combined Tumor Immunotherapeutic, Growth Inhibition and Anti-Metastatic Activity
Stephen Shuttleworth, Ph.D., FRSC, CChem, CSO, Karus Therapeutics Ltd.
The design and development of KA2237, a novel and selective inhibitor of PI3K-p110β/δ, will be described. This molecule has clinical potential in the treatment of solid and hematological malignancies, through its direct inhibition of tumor growth and metastatic spread, and through immunotherapeutic mechanisms. Phase I studies for KA2237 are scheduled to commence in Q2 2016 at the MD Anderson Cancer Center.
Design & Development of Novel, Oral, selective PI3K enzyme family: CLass I,II, III, IV based upon:
phase I clinical study commenced in pathients with B cell Lymphoma
Potential for treatment of solid and hematological malignancies
4:35 InCELL Pulse: A Novel Cellular Target Engagement Assay Platform for Drug Discovery
Daniel Treiber, Ph.D., Vice President, KINOMEscan, DiscoverX Corporation
InCELL Pulse is a quantitative and rapid method for measuring cellular target engagement potencies for small molecule inhibitors. InCELL Pulse capitalizes on two novel DiscoverX technologies, Enzyme Fragment Complementation (EFC) and Pulse Denaturation, which overcome the limitations of related target engagement methods. Examples across multiple target classes will be described.
InCELL Pulse – cellular Target ENgagement Assays
cellular thermal stabilization-based approach
simple, rapid and generig cellular alternative to CETSa
Thermal melting Curves vs Isothermal Inhibitor EC50 curves
Pulse Denaturation compound binding, or not binding
MTH1 Hydrolase: InCELL Pulseassay validated for multiple substrate-competitive inhibitors
Validated InCELL Pulse Assays for Diverse Kinases
Kinase targets; BRAF, MEC1
Summary
validation across proteins
4:50 Potential Application of Fluorescence Lifetime Assays to Enable Robust, Rapid Protein Binding Assays
Paul Wylie, Ph.D., Head, Applications, TTP Labtech
Current methods to screen protein binding interactions often have limitations due to the reliance on antibodies, but also interference from fluorescent molecules. Fluorescence lifetime has the potential to overcome these problems through directly labelled proteins and lifetime measurements that are independent of total fluorescence intensity.
Protein binding as a target class
protein-protein interactions (PPIs)
FRET/HTRF
FP
AlphaScreen
What new in FLT?
long lifetime fluorophores, economical reagent platform
directly labelled reagents – no antibodies
independent of total intensity – reduced interference
robustness screen vs nuisance screen – caspase-3
productive; reduction false positives: FRET
protein-binding assays & FLT formats:
protein – small molecule binding – CECR2
protein – peptide binding: long and sholt lifetime
Site-specific labelling vs Non-selective labelling
Toolbox for PoC
Detection reagents
Further develop technology
5:05 Refreshment Break in the Exhibit Hall with Poster Viewing
Anti-tumor necrosis factor drugs (TNF inhibitors) is the treatment for otulipenia, a new inflammatory disease discovered by NIH researchers using NGS – Inflammation
Reporter: Aviva Lev-Ari, PhD, RN
NIH researchers discover otulipenia, a new inflammatory disease – Rare and sometimes lethal disease affects young children
An international network of scientists studying inflammatory diseases identified four children from Pakistani and Turkish families with unexplained skin rashes and inflamed joints. NIH scientists then searched for disease-causing genes using next-generation DNA sequencing, technology that allows researchers to sequence DNA quickly and economically.
Once they found that the OTULIN gene was abnormal in the sick children, they studied the immune pathway in order to understand the mechanisms of disease and to improve treatment of these patients. They discovered a problem in the processing of a small protein, ubiquitin, which is critical to the regulation of many other proteins in the body, including immune molecules. In the affected children, the inability to remove the ubiquitin proteins from various molecules resulted in an increased production of chemical messengers that lead to inflammation (inflammatory cytokines).
The researchers determined that the children with otulipenia might respond to drugs that turned off tumor necrosis factor, a chemical messenger involved in systemic inflammation. Inflammation subsided in the children who had been treated with anti-tumor necrosis factor drugs (TNF inhibitors). TNF inhibitors are also used to treat chronic inflammatory diseases such as rheumatoid arthritis.
Cell-mediated immunotherapies have potential as stand-alone and adjuvant therapies for cancer. However, most current protocols suffer from one or more of three major issues: cost, safety, or efficacy. Here we present a nanoparticle delivery system that facilitates presentation of an immunogenic measles antigen specifically in cancer cells. The delivery system does not contain viral particles, toxins, or biologically derived material. Treatment with this system facilitates activation of a secondary immune response against cancer cells, bypassing the need to identify tumor-associated antigens or educate the immune system through a primary immune response. The delivery system consists of a stealth liposome displaying a cancer-specific targeting peptide, named H1299.3, on its exterior surface and encapsulating H250, an immunogenic human leukocyte antigen class 1 restricted peptide. This targeted-nanoparticle facilitates presentation of the H250 peptide in major histocompatibility complex class I molecules. Activation is dependent on the targeting peptide, previous antigen exposure, and utilizes a novel autophagy-mediated mechanism to facilitate presentation. Treatment with this liposome results in a significant reduction of tumor growth using an aggressive LLC1 model in vaccinated C57BL/6 mice. These data provide proof-of-principle for a novel cell-mediated immunotherapy that is scalable, contains no biologically derived material, and is an efficacious cancer therapy.
Cell-mediated (CM) immunotherapies for cancer treatment are designed to activate the body’s adaptive immune responses against a malignant growth.1,2 Generally, the goal of a CM response is to activate a cytotoxic T-cell response against a tumor to eliminate cancer cells. The principle of these treatments is straightforward, yet current work studying the complexity of the tumor micro-environment2,3 as well as methods that attempt to directly activate T cells against tumor antigens4,5,6 demonstrate the difficulty associated generating an immune response against a tumor.
Several CM cancer immunotherapies exist today. Major examples include PD-1 inhibitors, injection of live virus or viral particles into tumors, and adoptive T-cell therapies.1,6,7,8 However, concerns regarding efficacy, safety, and/or cost have limited the use of many of these treatments. To address these concerns, we sought to develop a novel treatment based on developing a fully synthetic, minimal delivery system that facilitates presentation of human leukocyte antigen (HLA) class I restricted immunogenic peptides specifically on cancer cells without using live virus, viral subunits, or biologically derived material.
Based on these requirements, we developed a liposomal based agent consisting of a neutral, stealth liposome that encapsulates a synthetically manufactured immunogenic HLA class I restricted peptide derived from measles virus.1,2,9 In addition, the liposome has a targeting peptide on the external surface that both specifically accumulates in cancer cells and facilitates presentation of the immunogenic peptide in HLA class I molecules (Figure 1a). Thus, this treatment is designed to generate a secondary CM immune response specifically against the tumor if the patient was previously vaccinated against or infected with measles.
The minimal antigen delivery system consists of three components. (a) PEGylated stealth liposomes are loaded with an immunogenic human leukocyte antigen (HLA) class 1 restricted peptide derived from measles virus, named H250. The surface of the liposome …
In this proof-of-concept study, we synthesized a liposome that encapsulates H250,1 an immunogenic HLA class 1 restricted peptide identified from measles hemagglutinin protein. The liposome is designed to specifically internalize in cancer cells by displaying the recently identified targeting peptide H1299.3 on the exterior surface (Figure 1b).10 H1299.3 is a 20mer, cancer-specific targeting peptide that was recently identified by our group. The peptide was identified using a novel phage display technique that allows for selection of cancer-specific targeting peptides that preferentially internalize in cancer cells via a defined mechanism of endocytosis. This peptide was dimerized on a lysine core and is fully functional outside the context of the phage particle. The H1299.3 peptide accumulates specifically in a panel of non-small cell lung cancer (NSCLC) cell lines compared to a normal bronchial epithelial cell control cell line via a clathrin-dependent mechanism of endocytosis. In this study, we demonstrate that H1299.3 facilitates functional presentation of an immunogenic antigen in both major histocompatibility complex (MHC) and HLA class I molecules as indicated by CD8+-specific interferon (IFN)γ secretion. In addition, H1299.3 facilitated presentation utilizes an autophagy-dependent mechanism. Finally, treatment with H1299.3 targeted liposomes containing H250 substantially reduces the growth rate of subcutaneous LLC1 tumors implanted in vaccinated C57BL/6 mice compared to treatment with vehicle control.
Result summarized:
The H1299.3 targeting ligand specifically accumulates in cancer and facilitates HLA class I presentation: H250 is an immunogenic peptide identified from sequencing peptides present in HLA A*0201 molecules following measles infection. identified two donors that were HLA A*02 positive and had previously been vaccinated against measles virus (the human NSCLC cell line, H1993, which we determined to be HLA A*02 positive)
identified three different cancer-specific targeting peptides that internalize into H1993 that have been previously published: H1299.2, H2009.1, and H1299.3. Each of these peptides specifically internalize in NSCLC cell lines compared to normal bronchial epithelial cells
H1299.3 facilitated HLA class I presentation requires autophagy. H1299.3 peptide colocalizes with Lamp-1 which is a marker of both lysosomes and autolysosomes, therefore it was possible autophagy involved and shown that H1299.3 colocalizes with autophagosomes. Chlorpromazine, which inhibits clathrin coated mediatated endocytosis, decreased the HLA1 presentation of H250.
H1299.3-targeted liposomes encapsulating H250 reduce tumor burden in vivo. Mice were first vaccinated against H250. The J1299.3 targeted liposome encapsulation H250 reduced tumor growth of LLC1 s.c. xenograpfts by 50%.
J Transl Med. 2011 Mar 31;9:34. doi: 10.1186/1479-5876-9-34.
Many peptide-based cancer vaccines have been tested in clinical trials with a limited success, mostly due to difficulties associated with peptide stability and delivery, resulting in inefficient antigen presentation. Therefore, the development of suitable and efficient vaccine carrier systems remains a major challenge.
METHODS:
To address this issue, we have engineered polylactic-co-glycolic acid (PLGA) nanoparticles incorporating: (i) two MHC class I-restricted clinically-relevant peptides, (ii) a MHC class II-binding peptide, and (iii) a non-classical MHC class I-binding peptide. We formulated the nanoparticles utilizing a double emulsion-solvent evaporation technique and characterized their surface morphology, size, zeta potential and peptide content. We also loaded human and murine dendritic cells (DC) with the peptide-containing nanoparticles and determined their ability to present the encapsulated peptide antigens and to induce tumor-specific cytotoxic T lymphocytes (CTL) in vitro.
RESULTS:
We confirmed that the nanoparticles are not toxic to either mouse or human dendritic cells, and do not have any effect on the DC maturation. We also demonstrated a significantly enhanced presentation of the encapsulated peptides upon internalization of the nanoparticles by DC, and confirmed that the improved peptide presentation is actually associated with more efficient generation of peptide-specific CTL and T helper cell responses.
CONCLUSION:
Encapsulating antigens in PLGA nanoparticles offers unique advantages such as higher efficiency of antigen loading, prolonged presentation of the antigens, prevention of peptide degradation, specific targeting of antigens to antigen presenting cells, improved shelf life of the antigens, and easy scale up for pharmaceutical production. Therefore, these findings are highly significant to the development of synthetic vaccines, and the induction of CTL for adoptive immunotherapy.
Regulatory T (TReg) cells are essential for maintaining peripheral tolerance, preventing autoimmune diseases and limiting chronic inflammatory diseases. However, they also limit beneficial responses by suppressing sterilizing immunity and limiting antitumour immunity. Given that TReg cells can have both beneficial and deleterious effects, there is considerable interest in determining their mechanisms of action. In this Review, we describe the basic mechanisms used by TReg cells to mediate suppression and discuss whether one or many of these mechanisms are likely to be crucial for TReg-cell function. In addition, we propose the hypothesis that effector T cells may not be ‘innocent’ parties in this suppressive process and might in fact potentiate TReg-cell function.
This schematic depicts the various regulatory T (Treg)-cell mechanisms arranged into four groups centred around four basic modes of action. ‘Inhibitory cytokines’ include interleukin-10 (IL-10), interleukin-35 (IL-35) and transforming growth factor-β (TGF-β). ‘Cytolysis’ includes granzyme-A- and granzyme-B-dependent and perforin-dependent killing mechanisms. ‘Metabolic disruption’ includes high affinity IL-2 receptor α (CD25)-dependent cytokine-deprivation-mediated apoptosis, cyclic AMP (cAMP)-mediated inhibition, and CD39- and/or CD73-generated, adenosine–purinergic adenosine receptor (A2A)-mediated immunosuppression. ‘Targeting dendritic cells’ includes mechanisms that modulate DC maturation and/or function such as lymphocyte activation gene-3 (LAG3; also known as CD223)–MHC-class-II-mediated suppression of DC maturation, and cytotoxic T lymphocyte antigen-4 (CTLA4)–CD80/CD86-mediated induction of indoleamine 2,3-dioxygenase (IDO), which is an immunosuppressive molecule, by DCs.
Model for how effector T cells might boost Treg-cell function
This occurs in three stages. (a) Initial regulatory T (Treg)-cell activation induces production of regulatory factors such as interleukin-35 (IL-35). (b) Treg cells ‘sense’ the presence of recently activated effector T cells through a receptor–ligand interaction (cell surface or soluble). (c) This in turn boosts or potentiates Treg-cell function resulting in the enhanced production of regulatory mediators, such as IL-35, and perhaps the induction of new mediators.
Regulatory T (Treg) cells are essential for maintaining peripheral tolerance, preventing autoimmune diseases and limiting chronic inflammatory diseases. However, they also limit beneficial responses by suppressing sterilizing immunity and limiting anti-tumour immunity. Given that Treg cells can have both beneficial and deleterious effects, there is considerable interest in determining their mechanisms of action. In this Review, we discuss the basic mechanisms used by Treg cells to mediate suppression, and discuss whether one or many of these mechanisms are likely to be crucial for Tregcell function. In addition, we present the hypothesis that effector T cells may not be ‘innocent’ parties in this suppressive process and might in fact potentiate Treg-cell function.
Several sophisticated regulatory mechanisms are used to maintain immune homeostasis, prevent autoimmunity and moderate inflammation induced by pathogens and environmental insults. Chief amongst these are regulatory T (Treg) cells that are now widely regarded as the primary mediators of peripheral tolerance. Although Treg cells play a pivotal role in preventing autoimmune diseases, such as type 1 diabetes1,2, and limiting chronic inflammatory diseases, such as asthma and inflammatory bowel disease (IBD)3,4, they also block beneficial responses by preventing sterilizing immunity to certain pathogens5,6 and limiting anti-tumour immunity7. A seminal advance in the analysis of Treg cells came with the identification of a key transcription factor, forkhead box P3 (FOXP3), that is required for their development, maintenance and function8,9. Mice and patients that lack FOXP3 develop a profound autoimmune-like lymphoproliferative disease that graphically emphasizes the importance of Treg cells in maintaining peripheral tolerance10-12 (BOX 1). Although FOXP3 has been proposed as the master regulator of Treg cells that controls the expression of multiple genes that mediate their regulatory activity13,14, this has been recently challenged raising the possibility that other transcriptional events may operate upstream of and/or concurrently with FOXP3 to mediate Treg-cell development15.
While Foxp3 has proven to be an invaluable marker for murine Treg cells, its role in human Treg cells is less straightforward (see BOX 2 for a discussion of Treg-cell markers). Humans that lack FOXP3 develop immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome (IPEX), a severe autoimmune disease that presents early in infancy. Although FOXP3 appears to be required for human Treg-cell development and function, expression of FOXP3 alone is clearly not sufficient as a significant percentage of human activated T cells express FOXP3 and yet do not possess regulatory activity16-20. Furthermore, induction of FOXP3 in human T cells by transforming growth factor-β (TGFβ) does not confer a regulatory phenotype, in contrast to their murine counterparts20. Consequently, FOXP3 is not a good marker for human Treg cells (BOX 2). Whether this distinction is due to intrinsic differences between mouse and human FOXP3 and/or a requirement for an additional cofactor/ transcription factor is an important question that needs to be resolved.
Significant progress has been made over the last few years in delineating the molecules and mechanisms that Treg cells use to mediate suppression21,22. In this Review, we outline our current understanding of the mechanisms used by Treg cells to mediate suppression, and the challenges that lie ahead in defining their mode of action. We also discuss whether Treg cells are likely to depend on one, a few or many of these mechanisms. In addition, we propose that effector T cells may have a significant role in boosting and/or modulating Treg-cell function. Unless stated, we focus here primarily on the mechanisms that are used by thymus-derived natural CD4+CD25+ FOXP3+ Treg cells.
Basic mechanisms of Treg-cell function Defining the mechanisms of Treg-cell function is clearly of crucial importance. Not only would this provide insight into the control processes of peripheral tolerance but it would probably provide a number of potentially important therapeutic targets. Although this quest has been ongoing since interest in Treg cells was reignited in 199523, there has been significant progress in the last few years. From a functional perspective, the various potential suppression mechanisms of Treg cells can be grouped into four basic ‘modes of action’: suppression by inhibitory cytokines, suppression by cytolysis, suppression by metabolic disruption, and suppression by modulation of dendritic-cell (DC) maturation or function (FIG. 1).
Suppression by inhibitory cytokines Inhibitory cytokines, such as interleukin-10 (IL-10) and TGFβ, have been the focus of considerable attention as a mechanism of Treg-cell-mediated suppression. There has also been significant interest in their ability to generate induced (also known as adaptive) Treg-cell populations, either naturally in vivo or experimentally as a potential therapeutic modality (BOX 3). Although the general importance of IL-10 and TGFβ as suppressive mediators is undisputed, their contribution to the function of thymus-derived, natural Treg cells is still a matter of debate24. This is partly due to the general perception that Treg cells function in a contactdependent manner25,26. Indeed, in vitro studies using neutralizing antibodies or T cells that are unable to produce or respond to IL-10 and TGFβ suggested that these cytokines may not be essential for Treg-cell function25-28. However, this contrasts with data from in vivo studies29,30.
In allergy and asthma models, evidence suggests that both natural and antigen-specific Treg cells control disease in a manner that is, in part, dependent on IL-1029 and in some reports dependent on both IL-10 and TGFβ 31. Adoptive transfer of allergen-specific Treg cells induced significant IL-10 production by CD4+ effector T cells in the lung following allergen challenge and this Treg-cell-mediated control of disease was reversed by treatment with an IL-10- receptor-specific antibody32. However, suppression of allergic inflammation and airway hyper-reactivity, and increased production of IL-10 still occurred following transfer of IL-10- deficient Treg cells, suggesting that Treg cells can suppress the Th2-driven response to allergens in vivo through an IL-10-dependent mechanism, but that the production of IL-10 by Treg cells themselves is not required for the suppression observed. This contrasts with a recent study suggesting that the Treg-cell-specific ablation of IL-10 expression resulted in increased lung allergic inflammation and hyperreactivity33.
This scenario might occur in other disease models. For instance, the effects of IL-10 can only be partially attributed to Treg-cell-derived IL-10 in the immune response to hepatitis B virus34 and in the allograft tolerance response elicited by splenocytes exposed to non-inherited maternal antigens35. Recently, it was also shown that IL-10 is crucial for the control of various infections in which Treg cells have been reported to be involved including Mycobacterium tuberculosis36, Toxoplasma gondii37, Leishmania major38, and Trichinella spiralis39. However, Treg cells were not the source of IL-10 in all of these infection models.
By contrast, several studies have shown that IL-10 production by Treg cells is essential for the prevention of colitis in mouse models of IBD40. Moreover, it appears that the tumour microenvironment promotes the generation of FOXP3+ Treg cells that mediate IL-10- dependent, cell-contact independent, suppression41. Similarly, in UV-radiation-induced carcinogenesis, IL-10 production by Treg cells appears to be important for blocking anti-tumour immunity42. IL-10 produced by Treg cells also appears to be crucial for IL-10-mediated tolerance in a model of hepatitis induced by concanavalin A43 and tolerance to bacterial and viral superantigens44. In addition, recent papers suggest new roles for Treg-cell-derived IL-10 in the induction of feto-maternal tolerance45 and B-cell-enhanced recovery from experimental autoimmune encephalomyelitis46. Collectively, the picture that appears to be emerging is that the relative importance of Treg-cell-derived IL-10 is very dependent on the target organism or disease and on the experimental system. Furthermore, the Treg-cell-specific deletion of IL-10 did not result in the development of spontaneous systemic autoimmunity, but did result in enhanced pathology in the colon of older mice and in the lungs of mice with induced airway hypersensitivity, suggesting that the function of Treg-cell-derived IL-10 may be restricted to controlling inflammatory responses induced by pathogens or environmental insults33.
While some early in vitro studies using neutralizing antibodies to TGFβ or Treg cells lacking TGFβ 25,47 indicated that TGFβ was not required for natural Treg-cell function, other studies, both in vitro and in vivo suggested a critical role for Treg-cell surface bound TGFβ 48,49. Therefore, the importance of TGFβ for natural Treg-cell function has also been a controversial topic. Indeed, there has been considerably more focus recently on the importance of TGFβ in the development of induced Treg cells and perhaps in Treg-cell maintenance in general (BOX 3). However, there are studies that suggest that TGFβ produced by Treg cells may directly participate in effector T-cell suppression. For instance, effector T cells that are resistant to TGFβ-mediated suppression cannot be controlled by Treg cells in an IBD model50. In addition, TGFβ produced by Treg cells has been found to be important in the control of the host immune response to M. tuberculosis36, suppression of allergic responses31 and prevention of colitis in an IBD model51. Interestingly, TGFβ produced by Treg cells has also been implicated in limiting anti-tumour immunity in head and neck squamous-cell carcinoma52 and in follicular lymphoma53 by rendering T cells unresponsive to the tumour. TGFβ also appears to limit the anti-tumour activity of cytokine-induced killer cells54.
Membrane-tethered TGFβ can also mediate suppression by Treg cells in a cell-cell contactdependent manner48. Treg cells can control islet infiltration of CD8+ T cells and delay the progress of diabetes through membrane-tethered TGFβ 49. However, experiments using mice deficient in TGFβ-receptor (TGFβR) signalling in effector T cells or using TGFβ or TGFβR blocking reagents failed to show that membrane-tethered TGFβ is required for natural Treg cell development or function47. More recently, however, interest in membrane-tethered TGFβ has re-surfaced with the description of a previously unappreciated role for it in the tumour microenvironment. TGFβ associated with tumour exosome membranes appears to enhance the suppressive function of Treg cells and skew T cells away from their effector functions and towards regulatory functions55. Furthermore, ovalbumin-induced airway inflammation can be attenuated by heme oxygenase-1 through membrane-tethered TGFβ and IL-10 secretion by Treg cells56, a process that activates the Notch1–HES1 (hairy and enhancer of split 1) axis in target cells57. Thus, in light of the most current data, it now appears that soluble and/or membrane-tethered TGFβ may have a previously unappreciated role in natural Treg-cell function.
Recently, a new inhibitory cytokine, IL-35, has been described that is preferentially expressed by Treg cells and is required for their maximal suppressive activity58. IL-35 is a novel member of the IL-12 heterodimeric cytokine family and is formed by the pairing of Epstein–Barr virus induced gene 3 (Ebi3), which normally pairs with p28 to form IL-27, and p35 (also known as Il12a), which normally pairs with p40 to form IL-12. Both Ebi3 and Il12a are preferentially expressed by murine Foxp3+ Treg cells58,59, but not resting or active effector T cells, and are significantly upregulated in actively suppressing Treg cells58. As predicted for a heterodimeric cytokine, both Ebi3−/− and Il12a−/− Treg cells had significantly reduced regulatory activity in vitro and failed to control homeostatic proliferation and cure IBD in vivo. This precise phenocopy suggested that IL-35 is required for the maximal suppressive activity of Treg cells. Importantly IL-35 was not only required but sufficient, as ectopic expression of IL-35 conferred regulatory activity on naive T cells and recombinant IL-35 suppressed T cell proliferation in vitro58. Although IL-35 is an exciting addition to the Treg-cell portfolio, there is clearly much that remains to be defined about this cytokine and its contribution to Treg-cell function. For instance, it remains to be determined if IL-35 suppresses the development and/or function of other cell types such as DCs and macrophages.
It is now clear that three inhibitory cytokines, IL-10, IL-35 and TGFβ, are key mediators of Treg-cell function. Although they are all inhibitory, the extent to which they are utilized in distinct pathogenic/homeostatic settings differs suggesting a non-overlapping function, which needs further refinement.
……….
How many mechanisms do Treg cells need? Although efforts to define the suppressive mechanisms used by Treg cells continue, an important question looms large. Is it likely that all these molecules and mechanisms will be crucial for Treg-cell function? There are three broad possibilities.
One, a single, overriding suppressive mechanism is required by all Treg cells Until the entire mechanistic panoply of Treg cells is defined, one cannot completely rule out this possibility. However, this possibility would seem unlikely as none of the molecules and/ or mechanisms that have been defined to date, when blocked or deleted, result in the complete absence of regulatory activity — a consequence that one might predict would result in a ‘Scurfy-like’ phenotype (BOX 1). So, although Treg cells that lack a single molecule, for instance IL-10, IL-35 or granzyme B, exhibit significantly reduced suppressor function, a scurfy phenotype does not ensue. Given that none of the current Treg-cell mechanisms can exclusively claim this distinction, it seems unlikely that any ‘unknown’ molecules or mechanisms could do so either.
Two, multiple, non-redundant mechanisms are required for maximal Treg-cell function In the studies conducted to date, Treg cells that lack various suppressive molecules have been shown to be functionally defective. This favours a scenario where there are multiple mechanisms that can be used by Treg cells but they are non-redundant, with each molecule contributing to the mechanistic whole. At present, this possibility would seem plausible. Indeed, this is supported by the recent analysis of mice possessing a Treg-cell-specific ablation of IL-10 expression, in which enhanced pathology was observed following environmental insult33. One would predict that at some point we should be able to generate knockout mice that lack a particular set of genes which results in a complete loss of Treg-cell activity. For this to be truly non-redundant, this list would probably be restricted and small (2–4 genes).
Three, multiple, redundant mechanisms are required for maximal Treg-cell function With the plethora of regulatory mechanisms described to date and the possibility of more yet to be identified, it is conceivable that there are multiple mechanisms that function redundantly. Such a redundant system would help to mitigate against effector T-cell escape from regulatory control. Also, given the very small size of the Treg-cell population, a sizable arsenal may be required at the height of an effector T-cell attack. Of course, it is possible that a semi-redundant scenario exists.
These possibilities have been discussed from the perspective of there being a single homogeneous Treg-cell population. However, as for helper T cell subsets it remains possible that a few or even many different Treg-cell subsets exist24. Each of these may rely on one or multiple regulatory mechanisms. Several recent studies have provided support for both phenotypic and functional heterogeneity amongst Treg cells. For instance, it has recently been shown that a small sub-population of Treg cells express the chemokine receptor CCR6, which is associated with T cells possessing an effector-memory phenotype102. CCR6+ Treg cells appeared to accumulate in the central nervous systems of mice with experimental autoimmune encephalomyelitis (EAE) suggesting that they may have a prevalent role in controlling responses in inflamed tissues. Heterogeneous expression of HLA-DR has also been suggested to mark different subpopulations of functionally distinct human Treg cells103. Indeed, HLADR positive Treg cells were found to be more suppressive than their DR negative counterparts. One might speculate that their enhanced inhibitory activity is due to DR-mediated ligation of the inhibitory molecule LAG3 expressed by activated effector T cells95,96.
So, if multiple suppressor mechanisms exist, how might these be integrated and used productively by Treg cells in vivo? We would propose the following possible models21. First, a ‘hierarchical’ model in which Treg cells possess many mechanisms that could be used but only one or two that are really crucial and consistently important in a variety of regulatory settings. Second, a ‘contextual’ model where different mechanisms become more or less important depending on the background or context in which the Treg cells reside and the type of target cell that they have to repress. For example, some cell types may be inhibited primarily by cytokines, whereas others are most effectively suppressed through lysis by Treg cells. Alternatively, different mechanisms may be more effective in different tissue compartments or in different disease settings. This notion is supported by the recent analysis of mice in which IL-10 expression was specifically ablated in Treg cells33. Whereas Treg-cell-derived IL-10 was not required for the systemic control of autoimmunity, it did seem to be required from the control of inflammatory events at mucosal interfaces such as the lungs and colon. As a clear picture of the available Treg-cell weaponry emerges, an important challenge will be to determine their relative importance and contribution to Treg-cell function in different disease models.
A hypothesis: effector T cells potentiate Treg-cell function? Most cellular interactions within the immune system are bidirectional, with molecular signals moving in both directions even though the interaction has broader unidirectional intentions (for example, CD4+ T-cell help). However, to date the general perception is that Treg cells suppress and effector T cells capitulate. We hypothesize that this is in fact an incomplete picture and that effector T cells have a very active role in their own functional demise. Three recent observations support this view. First, we have recently examined the molecular signature of activated Treg cells in the presence and absence of effector T cells and were surprised to find that it was strikingly different, with hundreds of genes differentially modulated as a consequence of the presence of effector T cells (C.J.W. and D.A.A.V., unpublished observations). Second, we have shown that Ebi3 and Il12a mRNA are markedly upregulated in Treg cells that were co-cultured with effector T cells, supporting the idea that effector T cells may provide signals which boost IL-35 production in trans58. Third, we found that Treg cells were able to mediate suppression of effector T cells across a permeable membrane when placed in direct contact with effector T cells in the upper chamber of a Transwell™ plate (L.W.C. and D.A.A.V., unpublished observations). Interestingly, this suppression was IL-35 dependent, as Ebi3−/− Treg cells were unable to mediate this ‘long-distance’ suppression. Collectively, these data suggest that it is the ‘induction’, rather than the ‘function’, of Treg-cell suppression that is contact-dependent and that effector T cells have an active role in potentiating Treg-cellmediated suppression. Therefore, we hypothesize that receptor–ligand interactions between the co-cultured CD4+ effector T cells and Treg cells initiate a signalling pathway that leads to enhanced IL-35 secretion and regulatory activity (FIG. 2). While the molecule that mediates this enhanced Treg-cell suppression is unknown, it is possible that IL-2 may serve this function104. Given the contrasting genetic profiles of activated Treg cells in the presence and absence of effector T cells, it seems possible that this interaction may boost the expression of other regulatory proteins. It may well be that effector T cells unwittingly perform the ultimate act of altruism.
Concluding remarks Although significant progress has been made over the last few years in defining the mechanisms that Treg cells use to mediate their suppressive function, there is clearly much that remains to be elucidated and many questions persist. First, are there more undiscovered mechanisms and/ or molecules that mediate Treg-cell suppression? What is clear is that the transcriptional landscape of Treg cells is very different from naive or activated effector T cells. There are literally thousands of genes that are upregulated (or downregulated) in Treg cells compared with effector T cells. Although it seems unlikely that all or many of these will be crucial for Treg-cell function, it is quite possible that a few undiscovered genes might be important. It should be noted that although we are discussing mechanisms here, it is clear that some of these molecules may perform key Treg-cell functions, such as Treg-cell homing and homeostasis, which are likely to indirectly influence their suppressive capacity in vivo but don’t directly contribute to their inhibitory activity. It is also possible that some of these unknown molecules may represent more specific markers for the characterization and isolation of Treg cells, a particularly important issue for the analysis and use of human Treg cells (BOX 2).
Second, which mechanisms are most important? An important but potentially complex challenge will be to determine if a few mechanisms are important in many Treg-cell settings or whether different mechanisms are required in different cellular scenarios. At present it is difficult to assess this objectively as these mechanisms have predominantly been elucidated in different labs using distinct experimental systems and thus none have really been compared in side-by-side experiments. Furthermore, only recently have conditional mutant mice been examined that have a regulatory component specifically deleted in Treg cells33.
It almost goes without saying that although defining the Treg-cell mode of action is of great academic importance, it is also essential in order to develop effective approaches for the clinical manipulation of Treg cells. Given the capacity of Treg cells to control inflammation and autoimmunity, and their implication in blocking effective anti-tumour immunity and preventing sterilizing immunity, it seems probable that a clear understanding of how Treg cells work will present definitive opportunities for therapeutic intervention.
Mice that carry a spontaneous loss-of-function mutation (known as Scurfy mice) or a deletion of Foxp3 develop a fatal autoimmune-like disease with hyperresponsive CD4+ T cells9,12. More recently Foxp3:diptheria toxin receptor (DTR) knockin mice have allowed for the selective depletion of Treg cells following DT treatment105. These mice have been invaluable for dissecting the role of Foxp3 in Treg-cell function. Given the profound phenotype in these mice, there is a general expectation that genetic disruption of any key Treg-cell inhibitory molecule or mechanism would probably result in a Scurfy-like phenotype. Of course, it is also possible that deletion of a key Treg-cell gene may be more synonymous with DT-mediated Treg-cell depletion where Foxp3 may still serve to prevent expression of proinflammatory cytokines105. Nonetheless, this has lead to the notion that if mutant mice don’t have a Scurfy-like or a Treg-cell-depleted phenotype, then the disrupted gene probably isn’t important for Treg-cell function. This may not necessarily be correct. Indeed, it is possible that no mouse lacking a Treg-cell inhibitory effector molecule will ever be generated that develops a profound, spontaneous autoimmune disease21. It should be noted that mutant mice that are Helicobacter spp. and/or Citrobacter rodentium positive may have an exacerbated phenotype, as several studies have shown that opportunistic enteric bacteria can significant exacerbate gut pathology4. Ultimately, the occurrence of disease in knockout mice will depend on whether Treg cells rely on a single or multiple suppressive mechanisms. Given the number of genes induced or modulated by FOXP3, it is probable that a programme of intrinsic and extrinsic regulation is induced that involves multiple proteins9,13. Therefore, it would not be surprising if deletion of a single molecule does not provoke the profound Scurfy-like phenotype seen in mice that lack Foxp3.
Box 2. Treg-cell markers
Identifying discriminatory cell surface markers for the characterization and isolation of Treg cells has always been a critical goal. Although excellent markers exist for murine Treg cells, this goal has remained elusive for human Treg cells. Traditionally, murine and human Treg cells have been characterized as CD4+CD25+ (also known as interleukin-2 receptor α (IL-2Rα)). Indeed, murine Treg cells can be effectively isolated based on staining for CD4+CD25+CD45RBlow expression. However, the purity of isolated human Treg cells has always been an issue because T cells up-regulate CD25 upon activation106. Indeed, during the influenza or allergy season a substantial proportion of human CD4+ T cells can express CD25. Although the identification of forkhead box P3 (Foxp3) as a key regulator of Treg-cell development and function has facilitated their identification in the mouse8, many activated (non-regulatory) human T cells express FOXP3, precluding it as a useful marker for human Treg cells16-20. Consequently, the search for Treg-cell-specific cellsurface markers, particularly in humans, has continued in earnest with a growing number of candidates proposed (reviewed by Zhao and colleagues107). For instance, it was shown that the expression of CD127 (also known as IL-7R) is down-regulated on Treg cells and that this could be used to increase the purity of human Treg-cell isolation. Indeed, there is a 90% correlation between CD4+CD25+CD127low T cells and FOXP3 expression108, 109. In addition, it was recently found that Treg cells expressed a higher level of folate receptor 4 (FR4) compared with activated effector T cells110. It is also important to recognize that Treg cells, like their T helper cell counterparts, may be heterogeneous and thus a collection of cell surface markers could facilitate their isolation and functional characterization. Indeed, such heterogeneity has recently been described based on differential expression of HLA-DR or CCR6102,103. However, the general use of both markers remains to be fully established so it is quite probable that the search for better Treg-cell markers will continue for some time.
Box 3 Induced or adaptive Treg cells: development and mode of action
Naturally occurring FOXP3+CD4+CD25+ Treg cells develop in the thymus and display a diverse T-cell receptor (TCR) repertoire that is specific for self-antigens111,112. However, Treg cells can also be ‘induced’, ‘adapted’ or ‘converted’ from effector T cells during inflammatory processes in peripheral tissues, or experimentally generated as a possible therapeutic29,113,114. For instance, T regulatory 1 cells (Tr1) and T helper 3 cells (Th3) can be generated experimentally by, and mediate their suppressive activity through interleukin-10 (IL-10) and transforming growth factor-β (TGFβ), respectively114,115. Typically, these regulatory populations do not express FOXP3. In vivo, it has recently been suggested that stimulation of mouse effector T cells by CD103+ dendritic cells (DCs) in the presence of TGFβ and retinoic acid induces the generation of Foxp3+ T cells in the gutassociated lymphoid tissue (GALT)116-121. Furthermore, Treg cells can be preferentially induced in the periphery by exposure to αVβ8-integrin-expressing DCs122 or suppressor of cytokine signalling 3 (Socs3) −/− DCs123. Interestingly, independent of its role in generating induced Treg cells, TGFβ may also have an important role in helping to maintain Foxp3 expression in natural Treg cells124, a process that can be blocked by IL-4 or interferon-γ (IFNγ) 125. In contrast to mouse T cells, FOXP3 induction by TCR stimulation in the presence of TGFβ in human T cells does not confer a regulatory phenotype20. The mechanism of action of adaptive Treg cells may not necessarily be restricted to suppressive cytokines. Indeed, human adaptive Treg cells (CD4+CD45RA+ T cells stimulated with CD3- and CD46-specific antibodies) have also been shown to express granzyme B and killing target cells in a perforin-dependent manner126. Treg cells often have a restricted specificity for particular cell types, tumours or foreign antigens127. Therefore, induced Treg cells may be ideally suited to respond to infectious agents. This may also be of particular importance in the GALT and in the tumour microenvironment where TGFβ drives the conversion of induced Treg cells118,128. A significant challenge in deciphering data from in vivo experiments is to assess the contribution of natural Treg cells versus induced Treg cells, and to determine whether inhibitory molecules, such as IL-10 or TGFβ, were derived from the former or the latter (or elsewhere).
Aberrant PD-L1 expression through 3′-UTR disruption in multiple cancers.
Successful treatment of many patients with advanced cancer using antibodies against programmed cell death 1 (PD-1; also known as PDCD1) and its ligand (PD-L1; also known as CD274) has highlighted the critical importance of PD-1/PD-L1-mediated immune escape in cancer development1, 2, 3, 4, 5, 6. However, the genetic basis for the immune escape has not been fully elucidated, with the exception of elevated PD-L1 expression by gene amplification and utilization of an ectopic promoter by translocation, as reported in Hodgkin and other B-cell lymphomas, as well as stomach adenocarcinoma6, 7, 8, 9, 10. Here we show a unique genetic mechanism of immune escape caused by structural variations (SVs) commonly disrupting the 3′ region of the PD-L1 gene. Widely affecting multiple common human cancer types, including adult T-cell leukaemia/lymphoma (27%), diffuse large B-cell lymphoma (8%), and stomach adenocarcinoma (2%), these SVs invariably lead to a marked elevation of aberrant PD-L1 transcripts that are stabilized by truncation of the 3′-untranslated region (UTR). Disruption of the Pd-l1 3′-UTR in mice enables immune evasion of EG7-OVA tumour cells with elevated Pd-l1 expression in vivo, which is effectively inhibited by Pd-1/Pd-l1 blockade, supporting the role of relevant SVs in clonal selection through immune evasion. Our findings not only unmask a novel regulatory mechanism of PD-L1 expression, but also suggest that PD-L1 3′-UTR disruption could serve as a genetic marker to identify cancers that actively evade anti-tumour immunity through PD-L1 overexpression.
Viruses are a dominant driver of protein adaptation in mammals.
Viruses interact with hundreds to thousands of proteins in mammals, yet adaptation against viruses has only been studied in a few proteins specialized in antiviral defense. Whether adaptation to viruses typically involves only specialized antiviral proteins or affects a broad array of virus-interacting proteins is unknown. Here, we analyze adaptation in ~1300 virus-interacting proteins manually curated from a set of 9900 proteins conserved in all sequenced mammalian genomes. We show that viruses (i) use the more evolutionarily constrained proteins within the cellular functions they interact with and that (ii) despite this high constraint, virus-interacting proteins account for a high proportion of all protein adaptation in humans and other mammals. Adaptation is elevated in virus-interacting proteins across all functional categories, including both immune and non-immune functions. We conservatively estimate that viruses have driven close to 30% of all adaptive amino acid changes in the part of the human proteome conserved within mammals. Our results suggest that viruses are one of the most dominant drivers of evolutionary change across mammalian and human proteomes.
Purdue scientists use adaptors to advance CAR-T therapy
Chimeric antigen receptor (CAR) T cells, developed in the 1990s, are a genetically engineered type of T cell that can target a specific cancer. Now, scientists at Purdue University say they’ve made improvements in this strategy–overcoming the several limitations of traditional CAR-T therapy.
Purdue professor of chemistry Philip Low and his team presented their findings at the American Association for Cancer Research meeting in New Orleans last month.
T cells are a type of immune cell that recognizes and clears the body of invading cells or pathogens, like cancer. They are fine-tuned by the immune system in order to specifically target and kill these foreign invaders–but cancer cells may respond by jumping these safety barriers.
CAR-T therapy was therefore proposed and has been recently used for cancer treatment. It has been hailed for its promising remission rates after early stage clinical trials for acute lymphoblastic leukemia.
“The problem is that the traditional engineered T-cell treatment can be too effective, sometimes killing tumor cells too fast and triggering a toxic reaction in a patient, and sometimes not stopping once the tumor has been destroyed and continuing to seek out and destroy healthy cells important to bodily functions,” Low said in a university news release. “We have found a potential way to control the engineered immune cells to overcome the limitations posed by CAR T-cell therapy.”
They did this by teaming up with Endocyte ($ECYT) scientist Haiyan Chu and designing CAR T cells that require activation by a small molecule adaptor before proceeding. In this way, they can carefully control the amount of active CAR T cells in the circulation.
So far, they have only tried the novel therapy in animal models, but when they tested it in mice they observed antitumor activity only when both the CAR T cells and the correct adaptor molecules were present.
Low believes it will allow clinicians to target multiple cancer subtypes at once. “Most tumors are heterogeneous and contain cancer cells that express different characteristics, including having different tumor-specific proteins on their surface,” he said in the release. “The cancer-targeting molecule on the adaptor we designed can be swapped out to target different molecules on other unrelated cancer cell surfaces. The idea is that a mixture of these adaptors can be given to a patient so that a single CAR T cell clone can be targeted to all of the relevant cancer subtypes in a patient.”
“In the past a new CAR T cell had to be designed for each desired cancer target,” Low said. “This system uses the same blind CAR T cell for all treatments. The adaptor molecule is what needs to be changed, and it is far easier to manipulate and swap pieces in and out of it than the T cells.”
A graphic depicting the activation and inactivation of CAR T cells through a small molecule adaptor is shown. Philip S. Low, Purdue’s Ralph C. Corley Distinguished Professor of Chemistry and director of the Purdue Center for Drug Discovery, and graduate student Yong Gu Lee led a team that designed new engineered CAR T cells that must be activated and targeted by a small molecule adaptor before they can kill cancer cells. The system has the potential to control the engineered cells to overcome existing limitations in CAR T-cell therapy. CREDIT Purdue University image courtesy of Yong Gu Lee
Purdue University researchers may have figured out a way to call off a cancer cell assassin that sometimes goes rogue and assign it a larger tumor-specific “hit list.”
T cells are the immune system’s natural defense against cancer and other harmful entities in the human body. However, the cells must be activated and taught by the immune system to recognize cancer cells in order to seek out and destroy them. Unfortunately, many types of cancer manage to thwart this process.
In the 1990s scientists found a way to genetically engineer T cells to recognize a specific cancer. These engineered T cells, called chimeric antigen receptor, or CAR, T cells, have been recently used as treatment for cancer, said Philip S. Low, Purdue’s Ralph C. Corley Distinguished Professor of Chemistry and director of the Purdue Center for Drug Discovery who led the work.
“The problem is that the traditional engineered T-cell treatment can be too effective, sometimes killing tumor cells too fast and triggering a toxic reaction in a patient, and sometimes not stopping once the tumor has been destroyed and continuing to seek out and destroy healthy cells important to bodily functions,” Low said. “We have found a potential way to control the engineered immune cells to overcome the limitations posed by CAR T-cell therapy.”
Low and Purdue graduate student Yong Gu Lee collaborated with Endocyte Inc. scientist Haiyan Chu to design genetically engineered CAR T cells that must be activated and targeted by a small molecule adaptor before they can kill cancer cells. The technology has been tested in animal models but no human trials have been performed. A poster presentation describing the work was presented Tuesday (April 19, 2016) at the American Association for Cancer Research annual meeting in New Orleans.
“While the traditional CAR T cells could remain and replicate in the human body for many years, the adaptors we have created are expected to be excreted fairly quickly,” Lee said. “By controlling the level of adaptors in the system, we can control the numbers and potencies of active CAR T cells. Those that aren’t stimulated by an adaptor molecule are blind and do not recognize or target any cells. Eventually, if they remain inactive for a while, they should die and be eliminated from the body.”
A study in mice showed the anti-tumor activity was induced only when both the engineered CAR T cell and the correct adaptor molecules were present.
The system also offers the potential to treat multiple cancer subtypes at once, Low said.
“Most tumors are heterogeneous and contain cancer cells that express different characteristics, including having different tumor-specific proteins on their surface,” he said. “The cancer-targeting molecule on the adaptor we designed can be swapped out to target different molecules on other unrelated cancer cell surfaces. The idea is that a mixture of these adaptors can be given to a patient so that a single CAR T cell clone can be targeted to all of the relevant cancer subtypes in a patient.”
The adaptor molecule serves as a bridge between the CAR T-cell and the cancer cell. It is made with a yellow dye called fluorescein isothiocyanate on one end, to which the engineered CAR T cells have been designed to bind, and a cancer-targeting molecule on the other.
Low’s research has focused on the design and synthesis of technologies for targeted delivery of therapeutic and imaging agents to treat cancer, inflammatory and autoimmune diseases, and infectious diseases.
He has developed molecules that target folate-receptors and prostate-specific membrane antigen on the surfaces of cancer cells. Approximately 85 percent of ovarian cancers; 80 percent of endometrial and lung cancers; and 50 percent of breast, kidney and colon cancers express folate receptors on their cellular surfaces. Prostate-specific membrane antigen receptors are found on nearly 90 percent of all prostate cancers. Other tumor-specific ligands developed by Low’s lab can target each of the other major human cancers, he said.
Each CAR T cell has thousands of receptors on its surface to which an adaptor molecule can bind. One CAR T cell could have a variety of adaptor molecules bound to its surface and the cancer cell it targets will depend on which of those adaptors first encounters a targeted cancer cell. Once the CAR T cell binds to a cancer cell, it begins the process of destroying it. When that process is complete, the CAR T cell is released and can bind to a new cancer cell, he said.
“In the past a new CAR T cell had to be designed for each desired cancer target,” Low said. “This system uses the same blind CAR T cell for all treatments. The adaptor molecule is what needs to be changed, and it is far easier to manipulate and swap pieces in and out of it than the T cells.”
In addition to Low, Chu and Lee, members of the research group include Purdue postdoctoral research associates at the time of the study Srinivasarao Tenneti and Ananda Kumar Kanduluru.
Drug discovery is one of the priorities within Purdue Moves, an initiative designed to broaden the university’s global impact and enhance educational opportunities for its students. All of the moves fall into four broad categories: science, technology, engineering and math (STEM) leadership; world-changing research; transformative education; and affordability and accessibility.
The Purdue University Center for Drug Discovery supports more than 100 faculty in six colleges with research focused on several major disease categories: cancer; diabetes, obesity and cardiovascular; immune and infectious disease; and neurological disorders and trauma.
The center and drug discovery initiative builds upon Purdue’s strengths along all points of the drug discovery pipeline, including 14 core units to provide shared resources for analysis, screening, synthesis and testing of potential therapeutic compounds.
With more than 44 Purdue-developed compounds at various stages of preclinical development, and 16 in human clinical trials, Purdue is among the most productive universities in the world of drug discovery.
The center also is aligned with the university’s recently announced $250 million investment in the life sciences.
Endocyte Inc., a Purdue Research Park-based company that develops receptor-targeted therapeutics for the treatment of cancer and autoimmune diseases, funded the study, holds exclusive rights to the technology and assisted Purdue researchers in the development of the technology. Low is a founder and chief science officer of Endocyte Inc. and serves on the Endocyte board of directors.
Yong Gu Lee, Haiyan Chu, Srinivasarao Tenneti, Ananda Kumar Kanduluru, Philip S. Low
Chimeric antigen receptor (CAR) T cells show significant potential for treating cancer due to their tumor-specific activation and ability to focus their killing activity on cells that express a tumor antigen. Unfortunately, this promising therapeutic technology is still limited by: (1) an inability to control the rate of cytokine release and tumor lysis; (2) the absence of an “off switch” that can terminate cytotoxic activity when tumor eradication is complete; (3) a failure to eliminate tumor cells that do not express the targeted antigen; and (4) a requirement to generate a different CAR T cell for each unique tumor antigen. In order to address these limitations, we have exploited a low molecular weight bi-specific adaptor molecule that must bridge between the CAR T cell and its targeted tumor cell by simultaneously binding to the chimeric antigen receptor on the CAR T cell and the unique antigen on the tumor. Using this bispecific adaptor, one can control CAR T cell cytotoxicity by adjusting the concentration and rate of administration of the adaptor. Because the half life of the adapter is <20 minutes in vivo, termination of CAR T cell killing can be accomplished by cessation of adapter administration. Moreover, when heterogeneous tumors containing cells that express orthogonal antigens must be treated, the same CAR T cell can be targeted to multiple antigens by attachment of the same CAR ligand to the appropriate selection of tumor-specific ligands. Finally, when the targeted tumor antigen is also expressed at low levels on normal cells, tumor specificity can be achieved by adjusting the affinity of the tumor-specific ligand to enable CAR T cell engagement only when a highly multivalent interaction is possible. To experimentally demonstrate the aforementioned benefits of using low molecular weight bispecific adaptors, CAR T cells were constructed by fusing an anti-fluorescein isothiocyanate (FITC) scFv to a CD3 zeta chain containing the intracellular domain of CD137 (i.e. CAR4-1BBZ T cells). Then, to enable their tumor-specific cytotoxicity, a bispecific adaptor molecule comprised of fluorescein linked to a small organic ligand with high affinity and specificity for a tumor-specific antigen (FITC-SMC) was synthesized. For these studies, the tumor-specific ligands were: i) folate for recognition of the folate receptor that is over-expressed on ~1/3 of human cancers, ii) DUPA for binding to prostate specific membrane antigen that is over-expressed on prostate cancers, and iii) NK-1R ligand that is over-expressed on neuroendocrine tumors. The ability of the same clone of CAR4-1BBZ T cells to eliminate tumors expressing each of the above antigens was then demonstrated by administration of the desired FITC-SMC to mice injected with the CAR4-1BBZ T cells. Our data show that anti-tumor activity: i) is only induced when both CAR4-1BBZ T cells and the correct antigen-specific FITC-SMC are present, ii) anti-tumor activity and toxicity can be sensitively controlled by adjusting the dosing of FITC-SMC, and iii) treatment of antigenically heterogeneous tumors can be achieved by administration of a mixture of the desired FITC-SMCs. Taken together, these data show that many of the limitations of CAR T cell technology can be addressed by use of a bi-specific adaptor molecule to mediate tumor cell recognition and killing.
CTLA-4 found in dendritic cells suggests New cancer treatment possibilities
Both dendritic cells and T cells are important in triggering the immune response, whereas antigen presenting dendritic cells act as the “general” leading T cells “soldiers” to chase and eliminate enemies in the battle against cancer. The well-known immune checkpoint break, CTLA-4, is believed to be present only in T cells (and cells of the same lineage). However, a new study published in Stem Cells and Development suggests that CTLA-4 also presents in dendritic cells. It further explores the mechanism on how turning off the dendritic cells in the immune response against tumors.
Dendritic Cell-Secreted Cytotoxic T-Lymphocyte-Associated Protein-4 Regulates the T-cell Response by Downmodulating Bystander Surface B7.
The remarkable functional plasticity of professional antigen-presenting cells (APCs) allows the adaptive immune system to respond specifically to an incredibly diverse array of potential pathogenic insults; nonetheless, the specific molecular effectors and mechanisms that underpin this plasticity remain poorly characterized. Cytotoxic T-lymphocyte-associated protein-4 (CTLA-4), the target of the blockbuster cancer immunotherapeutic ipilimumab, is one of the most well-known and well-studied members of the B7 superfamily and negatively regulates T cell responses by a variety of known mechanisms. Although CTLA-4 is thought to be expressed almost exclusively among lymphoid lineage hematopoietic cells, a few reports have indicated that nonlymphoid APCs can also express the CTLA-4 mRNA transcript and that transcript levels can be regulated by external stimuli. In this study, we substantially build upon these critical observations, definitively demonstrating that mature myeloid lineage dendritic cells (DC) express significant levels of intracellular CTLA-4 that they constitutively secrete in microvesicular structures. CTLA-4(+) microvesicles can competitively bind B7 costimulatory molecules on bystander DC, resulting in downregulation of B7 surface expression with significant functional consequences for downstream CD8(+) T-cell responses. Hence, the data indicate a previously unknown role for DC-derived CTLA-4 in immune cell functional plasticity and have significant implication for the design and implementation of immunomodulatory strategies intended to treat cancer and infectious disease.
Non-invasive strategy to guide personalized cancer immunotherapy
Cancer immunotherapy is the rising hope to offer ultimate solutions for cancer. Neoantigens, derived from products of mutated genes in tumor cells, are found to be closely related to the efficacy of cancer immunotherapies. A non-invasive approach to identify unique, patient-specific neoantigens has been advanced by Dr. Steven Rosenberg’s group. A recent article published in Nature Medicine reported that a small population of circulating CD8+PD-1+ tumor-reactive T lymphocytes can be used to identify neoantigens, in addition to tumor-infiltrating T cells. The study paves the way for designing personalized cancer immunotherapy with a novel non-invasive approach.
Detection of lymphocytes that target tumor-specific mutant neoantigens-derived from products encoded by mutated genes in the tumor-is mostly limited to tumor-resident lymphocytes, but whether these lymphocytes often occur in the circulation is unclear. We recently reported that intratumoral expression of the programmed cell death 1 (PD-1) receptor can guide the identification of the patient-specific repertoire of tumor-reactive CD8(+) lymphocytes that reside in the tumor. In view of these findings, we investigated whether PD-1 expression on peripheral blood lymphocytes could be used as a biomarker to detect T cells that target neoantigens. By using a high-throughput personalized screening approach, we identified neoantigen-specific lymphocytes in the peripheral blood of three of four melanoma patients. Despite their low frequency in the circulation, we found that CD8(+)PD-1(+), but not CD8(+)PD-1(-), cell populations had lymphocytes that targeted 3, 3 and 1 unique, patient-specific neoantigens, respectively. We show that neoantigen-specific T cells and gene-engineered lymphocytes expressing neoantigen-specific T cell receptors (TCRs) isolated from peripheral blood recognized autologous tumors. Notably, the tumor-antigen specificities and TCR repertoires of the circulating and tumor-infiltrating CD8(+)PD-1(+) cells appeared similar, implying that the circulating CD8(+)PD-1(+) lymphocytes could provide a window into the tumor-resident antitumor lymphocytes. Thus, expression of PD-1 identifies a diverse and patient-specific antitumor T cell response in peripheral blood, providing a novel noninvasive strategy to develop personalized therapies using neoantigen-reactive lymphocytes or TCRs to treat cancer.
PD-1 identifies the patient-specific CD8+ tumor-reactive repertoire infiltrating human tumors
Adoptive transfer of tumor-infiltrating lymphocytes (TILs) can mediate regression of metastatic melanoma; however, TILs are a heterogeneous population, and there are no effective markers to specifically identify and select the repertoire of tumor-reactive and mutation-specific CD8+ lymphocytes. The lack of biomarkers limits the ability to study these cells and develop strategies to enhance clinical efficacy and extend this therapy to other malignancies. Here, we evaluated unique phenotypic traits of CD8+ TILs and TCR β chain (TCRβ) clonotypic frequency in melanoma tumors to identify patient-specific repertoires of tumor-reactive CD8+lymphocytes. In all 6 tumors studied, expression of the inhibitory receptors programmed cell death 1 (PD-1; also known as CD279), lymphocyte-activation gene 3 (LAG-3; also known as CD223), and T cell immunoglobulin and mucin domain 3 (TIM-3) on CD8+ TILs identified the autologous tumor-reactive repertoire, including mutated neoantigen-specific CD8+ lymphocytes, whereas only a fraction of the tumor-reactive population expressed the costimulatory receptor 4-1BB (also known as CD137). TCRβ deep sequencing revealed oligoclonal expansion of specific TCRβ clonotypes in CD8+PD-1+ compared with CD8+PD-1– TIL populations. Furthermore, the most highly expanded TCRβ clonotypes in the CD8+ and the CD8+PD-1+ populations recognized the autologous tumor and included clonotypes targeting mutated antigens. Thus, in addition to the well-documented negative regulatory role of PD-1 in T cells, our findings demonstrate that PD-1 expression on CD8+ TILs also accurately identifies the repertoire of clonally expanded tumor-reactive cells and reveal a dual importance of PD-1 expression in the tumor microenvironment.
Cancer immunotherapy has experienced major progress in the last decade. Adoptive transfer of ex vivo–expanded tumor-infiltrating lymphocytes (TILs) can cause substantial regression of metastatic melanoma (1, 2). Blockade of the interaction of cytotoxic T lymphocyte antigen 4 (CTLA-4; also known as CD152) or programmed cell death 1 receptor (PD-1; also known as CD279) with their ligands using blocking antibodies alone or in combination have been shown to unleash an otherwise-ineffective immune response against melanoma (3–7), renal cell carcinoma (3), and non–small cell lung cancer (3). The antitumor responses observed in these clinical trials support the presence of naturally occurring tumor-reactive CD8+ T cells and their immunotherapeutic potential. In the particular case of TIL therapy, persistence of transferred tumor-specific T cell clones is associated with tumor regression (8). Moreover, retrospective clinical studies have shown an association of autologous tumor recognition by TILs and clinical response (9, 10), which suggests that enrichment of tumor-reactive cells could enhance clinical efficacy. However, the identification of the diverse repertoire of tumor-reactive cells limits the ability to study these cells, enhance clinical efficacy, and extend this therapy to other malignancies.
Melanoma TILs represent a heterogeneous population that can target a variety of antigens, including melanocyte differentiation antigens, cancer germline antigens, self-antigens overexpressed by the tumor, and mutated tumor neoantigens (11). The latter appear to be of critical importance for the antitumor responses observed after transfer of TILs, given the substantial regression of metastatic melanoma in up to 72% of patients in phase 2 clinical trials, in the absence of any autoimmune side effects in the great majority of patients (2). This contrasts with the modest antitumor activity but high prevalence of severe autoimmune manifestations observed after transfer of peripheral blood gene-engineered T cells expressing TCRs targeting shared melanocyte differentiation antigens MART1 and gp100 (12,13). Furthermore, T cells targeting mutated neoepitopes are not subject to negative selection in the thymus and may constitute the predominant naturally occurring tumor-reactive population in cancer patients. In support of this notion, a recent study reported the frequent detection and dominance of T cell populations targeting mutated epitopes in melanoma-derived TILs (14). Conversely, T cells targeting shared melanocyte differentiation antigens and cancer germline antigens in bulk melanoma TILs were represented at a strikingly low frequency (15). These findings have shifted our interest from the more accessible and commonly studied T cells targeting melanocyte differentiation antigens to T cells targeting unique patient-specific mutations. However, the often rare availability of autologous tumor cell lines necessary to study these reactivities, and the hurdles associated with the identification of the unique mutations targeted, have thus far hindered immunobiological studies of these T cell populations in the tumor.
Naturally occurring tumor-reactive cells are exposed to their antigen at the tumor site. Thus, the immunobiological characterization of T cells infiltrating tumors represents a unique opportunity to study their function and to identify the patient-specific repertoire of tumor-reactive cells. TCR stimulation triggers simultaneous upregulation of both costimulatory and coinhibitory receptors, which can either promote or inhibit T cell activation and function. Expression of the inhibitory receptors PD-1, CTLA-4, lymphocyte-activation gene 3 (LAG-3; also known as CD223), and T cell immunoglobulin and mucin domain 3 (TIM-3) is regulated in response to activation and throughout differentiation (16, 17). Chronic antigen stimulation has been shown to induce coexpression of inhibitory receptors and is associated with T cell hyporesponsiveness, termed exhaustion (18). Exhaustion in response to persistent exposure to antigen was first delineated in a murine model of chronic lymphocytic choriomeningitis virus (19), but has been observed in multiple human chronic viral infections (20–22) as well as in tumor-reactive MART1-specific TILs (23, 24), and has provided the rationale for restoring immune function using immune checkpoint blockade. Conversely, 4-1BB (also known as CD137) is a costimulatory member of the TNF receptor family that has emerged as an important mediator of survival and proliferation, particularly in CD8+ T cells (25–27). 4-1BB is transiently expressed upon TCR stimulation, and its expression has been used to enrich for antigen-specific T cells in response to acute antigen stimulation (28). However, expression of this marker has not been extensively explored in CD8+ lymphocytes infiltrating human tumors. In addition to changes in the expression of cosignaling receptors on the surface of T cells, antigen-specific stimulation typically results in clonal expansion. TCR sequence immunoprofiling can be used to monitor T cell responses to a given immune challenge even without a priori knowledge of the specific epitope targeted, through determination of the abundance of specific clonotypes (29, 30). However, there is limited knowledge regarding the TCR repertoire and the frequency of tumor-reactive clonotypes infiltrating human tumors.
We hypothesized that the assessment of unique phenotypic traits expressed by CD8+ TILs and TCR β chain (TCRβ; encoded by TRB) clonotypic immunoprofiling of lymphocytes infiltrating the tumor could provide a powerful platform to study antitumor T cell responses and evaluated their usefulness in identifying the diverse repertoire of tumor-reactive cells. Despite the accepted negative regulatory role of PD-1 in T cells, our findings establish that expression of PD-1 on CD8+ melanoma TILs accurately identifies the repertoire of clonally expanded tumor-reactive, mutation-specific lymphocytes and suggest that cells derived from this population play a critical role in tumor regression after TIL administration.
PD-1 was initially described to be expressed on a T cell hybridoma undergoing cell death (37). Its negative effect on T cell responses was first delineated in PD-1 knockout mice (38, 39). Since then, PD-1 expression and coexpression of other inhibitory receptors such as CTLA-4, TIM-3, BTLA, CD160, LAG-3, and 2B4 have become a hallmark of chronically stimulated T cells during chronic infection or in the tumor microenvironment. This altered phenotype, and the interaction of these receptors with their corresponding ligands on target cells, is associated with impaired proliferation and effector function frequently referred to as exhaustion (18, 24, 40). Expression of PD-1 in patients with chronic viral infections correlates with disease progression (22, 41). Additionally, CD8+ lymphocytes targeting melanoma differentiation antigens in the tumor express PD-1, CTLA-4, TIM-3, and LAG-3 and exhibit impaired IFN-γ and IL-2 secretion (23, 24), supporting a negative regulatory role of PD-1 and inhibitory receptors in naturally occurring T cell responses to cancer and providing a rationale for the treatment of cancer with immune checkpoint inhibitors.
In the present study, we found that expression of PD-1 on CD8+ melanoma TILs captured the diverse repertoire of clonally expanded tumor-reactive lymphocytes. TCRβ sequencing revealed that tumor-reactive and mutation-specific clonotypes were highly expanded in the CD8+ population and preferentially expanded in the PD-1+ population. This is consistent with the TCR stimulation-driven expression of this receptor on T cells (42). The inhibitory receptors TIM-3 and LAG-3 and the costimulatory receptor 4-1BB were also expressed on CD8+PD-1+ TILs and could also be used to enrich for tumor-reactive cells. PD-1 was consistently expressed at a higher frequency and was found to be more comprehensive at identifying the diverse repertoire of tumor-reactive cells infiltrating melanoma tumors, although the less frequent PD-1–/TIM-3+ and PD-1–/LAG-3+ subpopulations could also represent tumor-reactive cells (Supplemental Figure 4 and Supplemental Table 6). Additionally, previous studies from our laboratory showing coexpression of PD-1 and CTLA-4 (23), and our preliminary data supporting coexpression of PD-1 and ICOS (Supplemental Figure 5), suggest that other receptors may also be used to distinguish tumor-reactive cells. Our present results further support immunotherapeutic intervention using immune checkpoint blockade using PD-1, TIM-3, and LAG-3 blocking antibodies or 4-1BB agonistic antibody to restore the function of tumor-reactive lymphocytes, which is currently being actively pursued in the clinic (3, 4, 6, 7, 43). The potential cooperative mechanisms of inhibition of these receptors when engaged with their ligands (44, 45) suggests that the combined targeting of different inhibitory receptors can further enhance antitumor efficacy, as already shown with the combination of anti–PD-1 and anti–CTLA-4 (5). Our present results demonstrate that PD-1 identifies the clonally expanded CD8+ tumor-reactive population and suggest that expression of PD-1 on CD8+TILs could function as a potential predictive biomarker of antitumor efficacy using immune checkpoint inhibitors.
Naturally occurring tumor-reactive cells play a pivotal role in mediating antitumor responses after TIL transfer. Currently, expansion of TILs for patient treatment involves nonspecific growth of TILs from tumor fragments in IL-2, and the diversity and frequency of antitumor T cells present in the final T cell product used for treatment remains largely uncharacterized. Prospective clinical studies have reported that in vitro recognition of autologous tumor by TILs is associated with a higher probability of clinical response (9, 10), which suggests that enrichment of tumor-reactive cells could enhance clinical efficacy. This is consistent with the idea that both tumor-reactive and non–tumor-reactive cells may compete for cytokines in vivo, especially in the absence of vaccination. However, the isolation of the patient-specific repertoire of tumor-reactive cells is not possible with current technologies (14, 28, 46–50). Our findings established that expression of PD-1, TIM-3, LAG-3, and 4-1BB in CD8+ TILs can be used to enrich for tumor-reactive cells, regardless of the specific antigen targeted. One potential concern with isolating T cells expressing inhibitory receptors for therapy is that these cells may be exhausted or functionally impaired (23, 24, 44, 51, 52). However, we found that PD-1+, TIM-3+, and LAG-3+ CD8+ cells expanded in IL-2 were capable of secreting IFN-γ and lyse tumor in vitro. This supports the notion that immune dysfunction associated with coexpression of inhibitory receptors on CD8+ TILs can be reversed (21, 41, 51, 53), and may enable the reproducible enrichment of tumor-reactive cells for patient treatment. Notably, in a preliminary experiment (n= 8 nonresponders; 14 responders), there was no association between the frequency of expression of any of the markers studied in the CD8+ TILs in the fresh tumor and the clinical response to TILs derived from these tumor samples. However, the fresh tumors included in this study belonged to patients treated in several TIL protocols over the course of 10 years, and TILs were generated from these tumors using different methods, which makes these data difficult to interpret. In addition, the frequency of cells initially expressing PD-1 in the tumor may not reflect the frequency of the PD-1 derived cells in the infusion bag. For example, a low frequency of PD-1+ cells may be highly enriched during the process of TIL culture as a result of the presence of tumor cells. Although in vivo antitumor activity of tumor-isolated TILs based on PD-1 expression requires testing in a clinical trial, the observation that the overwhelming majority of tumor-reactive cells were derived from cells expressing PD-1 suggests that cells expressing PD-1 and inhibitory receptors in the tumor play a critical role in tumor regression after TIL administration.
The functional implications of selecting PD-1–, LAG-3–, TIM-3–, or 4-1BB–expressing T cells to enrich for tumor-reactive cells for patient treatment remain unclear. Although previous studies have reported differential expression of PD-1, LAG-3, and TIM-3 throughout differentiation (17), or preferential expression of TIM-3 in IFN-γ–secreting cells (54), our preliminary results have failed to show consistent phenotypic or functional differences between PD-1+, LAG-3+, TIM-3+, and 4-1BB+ selected TILs, including cytokine secretion, proliferation, and susceptibility to apoptosis (data not shown). We found that PD-1 expression was almost completely lost in the PD-1+ derived populations upon in vitro culture in IL-2. Conversely, TIM-3 and LAG-3 expression increased in the TIM-3– and LAG-3– populations after expansion. Overall, there were no differences in the expression of PD-1, TIM-3, or LAG-3 between any the populations after expansion. Thus, in agreement with previous reports (55, 56), we conclude that expansion in IL-2 alters the expression of these markers and compromises the potential use of inhibitory receptors to select for tumor-reactive cells after in vitro expansion. Recent work in animal models suggests that chronic antigen stimulation (57–59) or a tolerizing microenvironment (60) may lead to permanent epigenetic changes in T cells, raising the possibility that the restoration of function observed in previously exhausted or tolerized cells in presence of cytokines may only be transient. These results have not yet been corroborated in human tumor-specific cells. However, given that the overwhelming majority of tumor-reactive cells appear to derive from cells expressing PD-1 in the tumor, studying permanent versus transient reversion of exhaustion may have important implications for adoptive cell transfer of TILs.
Tumor-reactive cells can also be found infiltrating other tumor malignancies, such as renal cell carcinoma (61) or ovarian (62), cervical (63), or gastrointestinal tract cancers (64), albeit at lower frequencies. Our findings provide alternatives to enrich and study tumor-reactive CD8+ TILs through selection of cells expressing the cell surface receptors PD-1, LAG-3, TIM-3, and 4-1BB, a hypothesis that we are actively investigating. Additionally, our present findings showed that the frequency of a specific clonotype in the CD8+ and PD-1+ populations can be used to predict its ability to recognize tumor and isolate tumor-specific TCRs, thus providing means to overcome potential irreversible functional impairments of TILs (52).
2 reports with opposing results have generated controversy regarding which may be the optimal marker for the identification of the tumor-reactive repertoire, PD-1 or 4-1BB. In one report studying PD-1 expression in the tumor, the authors showed promising although inconsistent ability to enrich for shared melanoma-reactive cells (55). In a more recent article studying the role of 4-1BB in fresh ovarian TILs, Ye et al. concluded that expression of 4-1BB, but not PD-1, on lymphocytes defines the population of tumor-reactive cells in the tumor (65). The results of Ye et al. appear to contradict our present findings, showing that expression of PD-1 rather than 4-1BB more comprehensively identifies the repertoire of tumor-reactive cells in the tumor. However, these inconsistencies can be explained by different experimental approaches undertaken to study the immunobiology of TILs. First, Ye et al. found that expression of 4-1BB in fresh ovarian TILs and tumor-associated lymphocytes was low, and thus exposed the tumor to IL-7 and IL-15 (65). In the 1 patient sample in which the authors enriched for tumor-reactive cells from fresh ovarian TILs or tumor-associated lymphocytes exposed to IL-7 and IL-15, expression of 4-1BB was dependent on in vitro activation, but no longer represented the natural expression of 4-1BB in the fresh tumor. Second, with the exception of the 1 experiment described above, the enrichment experiments reported were carried out with melanoma or ovarian TIL lines expanded in IL-2 and cocultured with tumor cell lines in vitro. It is well known that IL-2 can change the activation status and also the expression of inhibitory receptors on T cells (data not shown and ref. 56). Thus, the experiment comparing expression of PD-1 and 4-1BB performed by Ye et al. (65) addressed the significance of these receptors after in vitro coculture of a highly activated melanoma TIL line with a tumor cell line, rather than the role of PD-1 and 4-1BB expression in CD8+ lymphocytes in the fresh tumor. Finally, both Inozume et al. and Ye et al. used matched HLA-A2 cell lines to assess tumor reactivity (55, 65). However, the use of HLA-matched tumor cell lines does not enable the assessment of reactivities against unique mutations that are present only in the autologous tumor cell line. In our current study, we used fresh melanoma tumors for all our experiments, and these were rested in the absence of cytokines to preserve the phenotype of TILs. Moreover, we used autologous tumor cell lines to assess tumor recognition. We believe that our experimental approach overcomes the limitations described above, enabling us to conclude that tumor-reactive cells can be detected in both the PD-1+/4-1BB+ and PD-1+/4-1BB– CD8+ TIL populations.
In summary, expression of PD-1 in CD8+ TILs in the fresh tumor identified and selected for the diverse patient-specific repertoire of tumor-reactive cells, including mutation-specific cells. In addition, analysis of the CD8+ TIL TCRβ repertoire in 2 melanomas showed that the frequency of a specific TCRβ clonotype in the CD8+ and PD-1+ populations could be used to predict its ability to recognize the autologous tumor. The use of inhibitory receptors and the frequency of individual TCRs to prospectively identify and select the diverse repertoire of tumor-reactive cells holds promise for the personalized treatment of cancer with T cell therapies, but may also facilitate the dissection and understanding of the immune response in human cancer patients.
Anti-PD-1 is poised to be a blockbuster, which other immune-checkpoint targeting drugs are on the horizon?
Clinical studies of anti-immune-checkpoint protein therapeutics have shown not only an improved overall survival, but also a long-term durable response, compared to chemotherapy and genomically-targeted therapy. To expand the success of immune-checkpoint therapeutics into more tumor types and improving efficacy in difficult-to-treat tumors, additional targets involved in checkpoint-blockade need to be explored, as well as testing the synergy between combining approaches.
Currently, CTLA-4 and PD-1/PD-L1 are furthest along in development, and have shown very promising results in metastatic melanoma patients. This is just a fraction of targets involved in the checkpoint-blockade pathway. Several notable targets include:
LAG-3 – Furthest along in clinical development with both a fusion protein and antibody approach, antibody apporach being tested in combination with anti-PD-1
TIM-3 – Also in clinical development. Pre-clinical studies indicate that it co-expresses with PD-1 on tumor-infiltrating lymphocytes. Combination with anti-PD-improves anti-tumor response
VISTA – Antibody targeting VISTA was shown to improve anti-tumor immune response in mice
In addition, there are also co-stimulatory factors that are also being explored as viable therapeutic targets
OX40 – Both OX40 and 4-1BB are part of the TNF-receptor superfamily. Phase I data shows acceptable safety profile, and evidence of anti-tumor response in some patients
4-1BB – Phase I/II data on an antibody therapeutic targeting OX40 shows promising clinical response for melanoma, renal cell carcinoma and ovarian cancer.
Inducible co-stimulator (ICOS) – Member of the CD28/B7 family. Its expression was found to increase upon T-cell activation. Anti-CTLA-4 therapy increases ICOS-positive effector T-cells, indicating that it may work in synergy with anti-CTLA-4. Clinical trials of anti-ICOS antibody are planned for 2015.
Targeting single immune-checkpoint proteins has proven to be clinically effective at treating specific tumor types; can targeting two different proteins synergize effects?
Despite the success of targeting immune-checkpoint proteins, such as CTLA-4, PD-1, LAG-3, TIM-3 among others, percentages of patient response vary and rarely exceed 50%. It is highly tempting to speculate a strategy of dual-targeting of these checkpoint proteins. A recent presentation at the Keystone Symposium for Tumor Immunology: Multidisciplinary Science Driving Combination Therapy detailed findings of dual-targeting two immune-checkpoint proteins in mouse tumor models. Their key findings are summarized below:
Dual-targeting PD-1 and LAG-3 demonstrates superior efficacy over blocking either target alone
In addition to previous reported data on superior dual-targeting efficacy against fibrosarcoma (Sa1N) and colorectal adenosarcoma (MC38) tumor types1, anti-tumor activity against myeloma (SC J558L) and B-cell lymphoma (A20) hematological tumor types were also reported to be effacious.2
These exciting pre-clinical findings may result in further exploration of dual-targeting antibodies in the clinic, either as combination of existing antibody therapies, or as a new bi-specific antibody therapeutic.
Camelid single domain antibodies are a novel bi-specific antibody platform that may be used to develop a new generation of dual-targeting antibodies against multiple immune-checkpoint proteins.
New insight behind the success of fighting cancer by targeting immune checkpoint proteins
Immune checkpoint blockade has proven to be highly successful in the clinic at treating aggressive and difficult-to-treat forms of cancer. The mechanism of the blockade, targeting CTLA-4 and PD-1 receptors which act as on/off switches in T cell-mediated tumor rejection, is well understood. However, little is known about the tumor antigen recognition profile of these affected T-cells, once the checkpoint blockade is initiated.
In a recent published study, the authors used genomics and bioinformatics approaches to identify critical epitopes on 3-methylcholanthrene induced sarcoma cell lines, d42m1-T3 and F244. CD8+ T cells in anti-PD-1 treated tumor bearing mice were isolated and fluorescently labeled with tetramers loaded with predicted mutant epitopes. Out of 66 predicted mutants, mLama4 and mAlg8 were among the highest in tetramer-positive infiltrating T-cells. To determine whether targeting these epitopes alone would yield similar results as anti-PD-1 treatment, vaccines against these two epitopes were developed and tested in mice. Prophylactic administration of the combined vaccine against mLama4 and mAlg8 yielded an 88% survival in tumor bearing mice, thus demonstrating that these two epitopes are the major antigenic targets from checkpoint-blockade and therapies against these two targets are similarly efficacious.
In addition to understanding the mechanism, identification of these tumor-specific mutant antigens is the first step in discovering the next wave of cancer immunotherapies via vaccines or antibody therapeutics. Choosing the right antibody platform can speed the discovery of a new therapeutics against these new targets. Single domain antibodies have the advantage of expedited optimization, flexibility of incorporating multiple specificity and functions, superior stability, and low COG over standard antibody approaches.
Myeloid-derived-suppressor cells as regulators of the immune system
Dmitry I. Gabrilovich and Srinivas Nagaraj Nat Rev Immunol. 2009 March ; 9(3): 162–174. http://dx.doi.org:/10.1038/nri2506
Myeloid-derived suppressor cells (MDSCs) are a heterogeneous population of cells that expands during cancer, inflammation and infection, and that has a remarkable ability to suppress T-cell responses. These cells constitute a unique component of the immune system that regulates immune responses in healthy individuals and in the context of various diseases. In this Review, we discuss the origin, mechanisms of expansion and suppressive functions of MDSCs, as well as the potential to target these cells for therapeutic benefit.
The first observations of suppressive myeloid cells were described more than 20 years ago in patients with cancer1-3. However, the functional importance of these cells in the immune system has only recently been appreciated due to accumulating evidence that has demonstrated their contribution to the negative regulation of immune responses during cancer and other diseases. It is now becoming increasingly clear that this activity is contained within a population known as myeloid-derived suppressor cells (MDSCs). Features common to all MDSCs are their myeloid origin, immature state and a remarkable ability to suppress T-cell responses (Box 1). In addition to their suppressive effects on adaptive immune responses, MDSCs have also been reported to regulate innate immune responses by modulating the cytokine production of macrophages4. Non-immunological functions of MDSC have also been described, such as the promotion of tumour angiogenesis, tumour-cell invasion and metastasis. However, as a discussion of these aspects of MDSC biology is beyond the scope of this article, the reader is referred to another recent Review on this topic5.
MDSCs represent an intrinsic part of the myeloid-cell lineage and are a heterogeneous population that is comprised of myeloid-cell progenitors and precursors of myeloid cells. In healthy individuals, immature myeloid cells (IMCs) generated in bone marrow quickly differentiate into mature granulocytes, macrophages or dendritic cells (DCs). In pathological conditions such as cancer, various infectious diseases, sepsis, trauma, bone marrow transplantation or some autoimmune disorders, a partial block in the differentiation of IMCs into mature myeloid cells results in an expansion of this population. Importantly, the activation of these cells in a pathological context results in the upregulated expression of immune suppressive factors such as arginase (encoded by ARG1) and inducible nitric oxide synthase (iNOS; also known as NOS2) and an increase in the production of NO (nitric oxide) and reactive oxygen species (ROS). Together, this results in the expansion of an IMC population that has immune suppressive activity; these cells are now collectively known as MDSCs. In this
Origin and subsets of MDSCs It is important to note that MDSCs that are expanded in pathological conditions (see later) are not a defined subset of myeloid cells but rather a heterogeneous population of activated IMCs that have been prevented from fully differentiating into mature cells. MDSCs lack the expression of cell-surface markers that are specific for monocytes, macrophages or DCs and are comprised of a mixture of myeloid cells with granulocytic and monocytic morphology6. Early studies showed that 1–5% of MDSCs are able to form myeloid-cell colonies7-9 and that about one third of this population can differentiate into mature macrophages and DCs in the presence of appropriate cytokines in vitro and in vivo7-9. In mice, MDSCs are characterized by the co-expression of the myeloid lineage differentiation antigen Gr1 (also known as Ly6G) and CD11b (also known as αM-integrin)10. Normal bone marrow contains 20–30% of cells with this phenotype, but these cells make up only a small proportion (2–4%) of spleen cells and are absent from the lymph nodes in mice (Fig. 1). In humans, MDSCs are most commonly defined as CD14-CD11b+ cells or, more narrowly, as cells that express the common myeloid marker CD33 but lack the expression of markers of mature myeloid and lymphoid cells and the MHC-class-II molecule HLA-DR11, 12. MDSCs have also been identified within a CD15+ population in human peripheral blood13. In healthy individuals, immature myeloid cells with described above phenotype comprise ∼0.5% of peripheral blood mononuclear cells.
Recently, the morphological heterogeneity of these cells has been defined more precisely in part based on their expression of Gr1. Notably, Gr1-specific antibodies bind to both Ly6G and Ly6C, which are encoded by separate genes. However, these epitopes are recognized by different antibodies specific for each individual epitopes: anti-Ly6C and anti-Ly6G. Granulocytic MDSCs have a CD11b+Ly6G+Ly6Clow phenotype, whereas MDSCs with monocytic morphology are CD11b+Ly6G-Ly6Chigh 6,14. Importantly, evidence indicates that these two subpopulations may have different functions in cancer and infectious and autoimmune diseases15-17. During the analysis of ten different experimental tumour models, we found that both of these subsets of MDSCs were expanded. In most cases, however, the expansion of the granulocytic MDSC population was much greater than that of the monocytic subset6 and, interestingly, the two subpopulations used different mechanisms to suppress Tcell function (see later). In addition, the ability to differentiate into mature DCs and macrophages in vitro has been shown to be restricted to monocytic MDSCs6.
In recent years, several other surface molecules have been used to identify additional subsets of suppressive MDSCs, including CD80 (also known as B7.1)18, CD115 (the macrophage colony-stimulating factor receptor)19, 20 and CD124 (the IL-4 receptor α-chain)20. In our own studies, we observed that many MDSCs in tumour-bearing mice co-express CD115 and CD1246; however, direct comparison of MDSCs from tumour-bearing mice and Gr1+CD11b+ cells from naive mice showed that they expressed similar levels of CD115 and CD124. In addition, sorted CD115+ or CD124+ MDSCs from EL-4 tumour-bearing mice had the same ability to suppress T-cell proliferation on a per cell basis as did CD115- or CD124-MDSCs. This suggests that, although these molecules are associated with MDSCs, they might not be involved in the immunosuppressive function of these cells in all tumour models.
Overall, current data suggest that MDSCs are not a defined subset of cells but rather a group of phenotypically heterogeneous myeloid cells that have common biological activity.
MDSCs in pathological conditions MDSCs were first characterized in tumour-bearing mice or in patients with cancer. Inoculation of mice with transplantable tumour cells, or the spontaneous development of tumours in transgenic mice with tissue-restricted oncogene expression, results in a marked systemic expansion of these cells (Fig. 1 and Table 1). In addition, up to a tenfold increase in MDSC numbers was detected in the blood of patients with different types of cancer11, 12, 21, 22. In many mouse tumour models, as many as 20–40% of nucleated splenocytes are represented by MDSCs (in contrast to the 2-4% seen in normal mice). In addition, these cells are found in tumour tissues and in the lymph nodes of tumour-bearing mice.
Although initial observations and most of the current information regarding the role of MDSCs in immune responses has come from studies in the cancer field, accumulating evidence has shown that MDSCs also regulate immune responses in bacterial and parasitic infections, acute and chronic inflammation, traumatic stress, surgical sepsis and transplantation. A systemic expansion of both the granulocytic and monocytic subset of MDSCs was observed in mice primed with Mycobacterium tuberculosis as part of complete Freund’s adjuvant (CFA). Acute Trypanosoma cruzi infection, which induces T-cell activation and increased production of interferon-γ (IFNγ), also leads to the expansion of MDSCs23, 24. A similar expansion of MDSCs has been reported during acute toxoplasmosis25, polymicrobial sepsis26, acute infection with Listeria monocytogenes or chronic infection with Leishmania major27 and infection with helminths28,29, 30, Candida albicans31 or Porphyromonas gingivalis32.
MDSC expansion is also associated with autoimmunity and inflammation. In experimental autoimmune encephalomyelitis (EAE), a mouse model of multiple sclerosis, an increase in CD11b+Ly6ChiLy6G− MDSCs was observed in the spleen and blood and these cells were found to enter the central nervous system during the inflammatory phase of the disease16. A significant increase in the number of MDSCs was also detected in experimental autoimmune uveoretinitis, an animal model of human intraocular inflammatory disease33, in the skin and spleens of mice that were repeatedly treated with a contact sensitizer to induce an inflammatory response34 and in inflammatory bowel diseases35. MDSCs were also found to infiltrate the spleen and suppress T-cell function in a model of traumatic stress36. Finally, a significant transient increase in MDSC numbers was also demonstrated in normal mice following immunization with different antigens such as ovalbumin or peptide together with CFA, a recombinant vaccinia virus expressing interleukin-2 (IL-2) or staphylococcal enterotoxin A 8, 37, 38. Therefore, current information clearly indicates that the expansion of an immunosuppressive MDSC population is frequently observed in many pathological conditions.
Expansion and activation of MDSCs Studies have demonstrated that the MDSC population is influenced by several different factors (Table 1), which can be divided into two main groups. The first group includes factors that are produced mainly by tumour cells and promote the expansion of MDSC through stimulation of myelopoiesis and inhibiting of the differentiation of mature myeloid cells. The second group of factors is produced mainly by activated T cells and tumour stroma, and is involved in directly activating MDSCs. Mechanisms of MDSC expansion—Factors that induce MDSC expansion can include cyclooxygenase-2 (COX2), prostaglandins 39-41, stem-cell factor (SCF)39, macrophage colony-stimulating factor (M-CSF), IL-642, granulocyte/macrophage colony-stimulating factor (GM-CSF)41 and vascular endothelial growth factor (VEGF) 43 (Table 1). The signalling pathways in MDSCs that are triggered by most of these factors converge on Janus kinase (JAK) protein family members and signal transducer and activator of transcription 3 (STAT3) (Fig. 2), which are signalling molecules that are involved in cell survival, proliferation, differentiation and apoptosis44. STAT3 is arguably the main transcription factor that regulates the expansion of MDSCs. MDSCs from tumour-bearing mice have markedly increased levels of phosphorylated STAT3 compared with IMCs from naive mice45. Exposure of haematopoietic progenitor cells to tumour-cell-conditioned medium resulted in the activation of JAK2 and STAT3 and was associated with an expansion of MDSCs in vitro, whereas inhibition of STAT3 expression in haematopoietic progenitor cells abrogated the effect of tumour-derived factors on MDSC expansion46. Ablation of STAT3 expression in conditional knockout mice or selective STAT3 inhibitors markedly reduced the expansion of MDSCs and increased T-cell responses in tumour-bearing mice45, 47. STAT3 activation is associated with increased survival and proliferation of myeloid progenitor cells, probably through upregulated expression of STAT3 target genes including B-cell lymphoma XL, (BCL-XL), cyclin D1, MYC and survivin. So, abnormal and persistent activation of STAT3 in myeloid progenitors prevents their differentiation into mature myeloid cells and thereby promotes MDSC expansion.
Recent findings suggest that STAT3 also regulates MDSC expansion through inducing the expression of S100A8 and S100A9 proteins. In addition, it has been shown that MDSCs also express receptors for these proteins on their cell surface. S100A8 and S100A9 belong to the family of S100 calcium-binding proteins that have been reported to have an important role in inflammation48. STAT3-dependent upregulation of S100A8 and S100A9 expression by myeloid progenitor cells prevented their differentiation and resulted in the expansion of MDSCs in the spleens of tumor-bearing and naive S100A9-transgenic mice. By contrast, MDSCs did not expand in the peripheral blood and spleens of mice deficient for S100A9 following challenge with tumour cells or CFA49. In a different study, S100A8 and S100A9 proteins were shown to promote MDSC migration to the tumour site through binding to carboxylated N-glycan receptors expressed on the surface of these cells 50. Blocking the binding of S100A8 and S100A9 to their receptors on MDSCs in vivo with a carboxylated glycan-specific antibody reduced MDSC levels in the blood and secondary lymphoid organs of tumour-bearing mice50. In human colon tumour tissue, and in a mouse model of colon cancer, myeloid progenitor cells expressing S100A8 and S100A9 have been shown to infiltrate regions of dysplasia and adenoma. Furthermore, administration of a carboxylated glycan-specific monoclonal antibody (mAbGB3.1) was found to markedly reduced chronic inflammation and tumorigenesis51. Although the mechanisms involved require further study, these studies suggest that S100A9 and/or S100A8 proteins have a crucial role in regulating MDSC expansion, and may provide a link between inflammation and immune suppression in cancer.
Mechanisms of MDSC activation—Recently, it has become clear that the suppressive activity of MDSCs requires not only factors that promote their expansion but those that induce their activation. The expression of these factors, which are produced mainly by activated T cells and tumour stromal cells, is induced by different bacterial or viral products or as a result of tumour cell death 26. These factors, which include IFNγ, ligands for Toll-like receptors (TLRs), IL-13, IL-4 and transforming growth factor-β (TGFβ), activate several different signalling pathways in MDSCs that involve STAT6, STAT1, and nuclear factor-κB (NF-κB) (Fig. 2).
Blockade of IFNγ, which is produced by activated T cells, abolishes MDSC-mediated T-cell suppression17, 52. STAT1 is the major transcription factor activated by IFNγ-mediated signalling and, in the tumour microenvironment, the upregulation of ARG1 and iNOS expression in MDSCs involved a STAT1-dependent mechanism. Indeed, MDSCs from Stat1-/- mice failed to up regulate ARG1 and iNOS expression and therefore did not inhibit Tcell responses53. Consistent with other findings, IFNγ produced by activated T cells and by MDSCs triggered iNOS expression and synergized with IL-4Rα and ARG1 pathways that have been implicated in the suppressive function of MDSCs20.
An important role for the signalling pathway that involves IL-4 receptor α-chain (IL-4Rα) and STAT6 (which is activated by the binding of either IL-4 or IL-13 to IL-4Rα) in MDSC activation has been demonstrated in several studies. It has been shown that ARG1 expression is induced by culturing freshly isolated MDSCs or cloned MDSC lines with IL-454. In addition, IL-4 and IL-13 upregulate arginase activity, which increases the suppressive function of MDSCs55. In line with these observations, other experiments have shown that STAT6 deficiency prevents signalling downstream of the IL-4Rα and thereby blocks the production of ARG1 by MDSCs56. In addition, the IL-4Rα–STAT6 pathway was also found to be involved in IL-13-induced TGFβ1 production by MDSCs in mice with sarcoma, which resulted in decreased tumour immunosurveillance57. This could be regulated by neutralizing both TGFβ and IL-1357. However, in breast tumor model IL-4Rα knockout mice retain high levels of MDSC after surgery56. In a different study that evaluated the separate role of TGFβ (not involving study of IL-4Rα) TGFβ-specific blocking antibody failed to reverse T-cell anergy in B-cell lymphoma in vitro58. It is possible that, the IL4Rα–STAT6 pathway might not be involved in promoting tumour immunosuppression in all tumour models.
TLRs have a central role in the activation of innate immune responses. Polymicrobial sepsis induced by the ligation and puncture of the caecum, which releases microbial products into the peritoneum and systemic circulation, was shown to result in an expansion of the MDSC population in the spleen that was dependent on the TLR adaptor molecule myeloid differentiation primary-response gene 88 (MyD88)26. However, wild-type mice and mice lacking a functional TLR4 protein had comparable expansion of the MDSC during polymicrobial sepsis, which suggests that signalling through TLR4 is not required for MDSC expansion and that MyD88-dependent signalling pathways that are triggered by other TLRs probably contribute to the expansion of MDSCs in sepsis26. This indicates that the activation of MDSCs is a fundamental outcome of the host innate immune response to pathogens that express TLR ligands.
It is important to note that an increase in the production and/or recruitment of IMCs in the context of acute infectious diseases or following vaccination does not necessarily represent an expansion of an immunosuppressive MDSC population. It is likely that under pathological conditions, the expansion of a suppressive MDSC population is regulated by two different groups of factors that have partially overlapping activity: those that induce MDSC expansion and those that induce their activation (which leads to increased levels of ROS, arginase, and/ or NO). This two-tiered system may allow for flexibility in the regulation of these cells under physiological and pathological conditions.
Mechanisms of MDSC suppressive activity Most studies have shown that the immunosuppressive functions of MDSCs require direct cell– cell contact, which suggests that they act either through cell-surface receptors and/or through the release of short-lived soluble mediators. The following sections describe the several mechanisms that have been implicated in MDSC-mediated suppression of T-cell function.
Arginase and iNOS—Historically, the suppressive activity of MDSCs has been associated with the metabolism of L-arginine. L-arginine serves as a substrate for two enzymes: iNOS, which generates NO, and arginase, which converts L-arginine into urea and L-ornithine. MDSCs express high levels of both arginase and iNOS, and a direct role for both of these enzymes in the inhibition of T-cell function is well established; this has been reviewed recently59, 60. Recent data suggest that there is a close correlation between the availability of arginine and the regulation of T-cell proliferation11, 61. The increased activity of arginase in MDSCs leads to enhanced L-arginine catabolism, which depletes this non-essential amino acid from the microenvironment. The shortage of L-arginine inhibits T-cell proliferation through several different mechanisms, including decreasing their CD3ζ expression62 and preventing their upregulation of the expression of the cell cycle regulators cyclin D3 and cyclin-dependent kinase 4 (CDK4)63. NO suppresses T-cell function through a variety of different mechanisms that involve the inhibition of JAK3 and STAT5 in T cells64, the inhibition of MHC class II expression 65 and the induction of T-cell apoptosis66.
ROS—Another important factor that contributes to the suppressive activity of MDSCs is ROS. Increased production of ROS has emerged as one of the main characteristics of MDSCs in both tumour-bearing mice and patients with cancer6, 10, 13, 53, 67-70. Inhibition of ROS production by MDSCs isolated from mice and patients with cancer completely abrogated the suppressive effect of these cells in vitro10, 13, 67. Interestingly, ligation of integrins expressed on the surface of MDSCs was shown to contribute to increased ROS production following the interaction of MDSCs with T cells10. In addition, several known tumour-derived factors, such as TGFβ, IL-10, IL-6, IL-3, platelet-derived growth factor (PDGF) and GM-CSF, can induce the production of ROS by MDSCs (for review see Ref 71).
The involvement of ROS and NO in mechanisms of MDSC suppression are not restricted to neoplastic conditions, as inflammation and microbial products are also known to induce the development of a MDSC population that produces ROS and NO following interactions with activated T cells15. Similar findings were observed in models of EAE16 and acute Toxoplasmosis infection 16. In addition, it has been observed that MDSCs mediated their suppressive function through IFNγ-dependent NO production in an experimental model of Trypanosoma cruzi infection23.
Peroxynitrite—More recently, it has emerged that peroxynitrite (ONOO-) is a crucial mediator of MDSC-mediated suppression of T-cell function. Peroxynitrite is a product of a chemical reaction between NO and superoxide anoion (O2-) and is one of the most powerful oxidants produced in the body. It induces the nitration and nitrosylation of the amino acids cystine, methionine, tryptophan and tyrosine72. Increased levels of peroxynitrite are present at sites of MDSC and inflammatory-cell accumulation, including sites of ongoing immune reactions. In addition, high levels of peroxynitrite are associated with tumour progression in many types of cancer72, 73,74-78, which has been linked with T-cell unresponsiveness. Bronte and colleagues reported that human prostate adenocarcinomas were infiltrated by terminallydifferentiated CD8+ T cells that were in an unresponsive state. High levels of nitrotyrosine were present in the T cells, which suggested the production of peroxynitrites in the tumour environment. Inhibiting the activity of arginase and iNOS, which are expressed in malignant but not in normal prostate tissue and are key enzymes of L-arginine metabolism,, led to decreased tyrosine nitration and restoration of T-cell responsiveness to tumour antigens79. In addition, we have demonstrated that peroxynitrite production by MDSCs during direct contact with T cells results in nitration of the T-cell receptor (TCR) and CD8 molecules, which alters the specific peptide binding of the T cells and renders them unresponsive to antigen-specific stimulation. However, the T cells maintained their responsiveness to nonspecific stimuli80. This phenomenon of MDSC induced antigen-specific T-cell unresponsiveness was also observed in vivo in tumour-bearing mice53.
Subset-specific suppressive mechanisms?—Recent findings indicate that different subsets of MDSC might use different mechanisms by which to suppress T-cell proliferation. As described earlier, two main subsets of MDSCs have been identified: a granulocytic subset and a monocytic subset. The granulocytic subset of MDSC was found to express high levels of ROS and low levels of NO, whereas the monocytic subset expressed low levels of ROS and high levels of NO and both subsets expressed ARG16 (Fig.3). Interestingly, both populations suppressed antigen-specific T-cell proliferation to an equal extent, despite their different mechanisms of action. Consistent with these observations, Movahedi et al. also reported two distinct MDSC subsets in tumour-bearing mice, one that consisted of mononuclear cells that resembled inflammatory monocytes and a second that consisted of polymorphonuclear cells that were similar to immature granulocytes. Again, both populations were found to suppress antigen-specific T-cell responses, although by using distinct effector molecules and signalling pathways. The suppressive activity of the granulocytic subset was ARG1-dependent, in contrast to the STAT1- and iNOS-dependent mechanism of the monocyte fraction17. Finally, the same trend was observed in Trypanosoma cruzii infection. In this case, monocytic MDSCs produced NO and strongly inhibited T-cell proliferation, and granulocytic MDSCs produced low levels of NO and did not inhibit T-cell proliferation, although they did produce superoxide15. The biological significance of such functional dichotomy of these two MDSC subsets remains to be elucidated. Induction of TReg cells—Recently, the ability of MDSCs to promote the de novo development of FOXP3+ regulatory T (TReg) cells in vivo has been described18, 19. The induction of TReg cells by MDSCs was found to require the activation of tumour-specific Tcells and the presence of IFNγ and IL-10 but was independent of NO19. In mice bearing 1D8 ovarian tumours, the induction of TReg cells by MDSCs required the expression of cytotoxic lymphocyte antigen 4 (CTLA-4; also known as CD152) by MDSCs18. In a mouse model of lymphoma, MDSCs were shown to induce TReg-cell expansion through a mechanism that required arginase and the capture, processing and presentation of tumour-associated antigens by MDSCs, but not TGFβ58. By contrast, Movahedi et al. found that the percentage of TReg cells was invariably high throughout tumour growth and did not relate to the kinetics of expansion of the MDSC population, suggesting that MDSCs were not involved in TReg-cell expansion17. Furthermore, in a rat model of kidney allograft tolerance that was induced with a CD28-specific antibody, MDSCs that were co-expressing CD80 and CD86 were found to have a limited effect on the expansion of the TReg-cell population81. Although further work is required to resolve these discrepancies and to determine the physiological relevance of these studies, it seems possible that MDSCs are involved in TReg-cell differentiation through the production of cytokines or direct cell–cell interactions. Furthermore, MDSCs and TReg cells might be linked in a common immunoregulatory network (see later).
Tissue-specific effects on MDSCs A major unresolved question in this field is whether MDSCs mediate antigen-specific or nonspecific suppression of T-cell responses. Provided that MDSCs and T cells are in close proximity, the factors that mediate MDSC suppressive function (ROS, arginase and NO) can inhibit T-cell proliferation regardless of the antigen specificity of the T cells. Indeed, numerous in vitro studies have demonstrated the antigen nonspecific nature of MDSC-mediated suppression of T cells82 83. However, whether the situation is the same in vivo is not clear, and evidence suggests that MDSC-mediated immunosuppression in peripheral lymphoid organs is mainly antigen-specific. The idea that MDSC-mediated T-cell suppression occurs in an antigen-specific manner is based on findings that antigen-specific interactions between antigen-presenting cells and T cells result in much more stable and more prolonged cell–cell contact than nonspecific interactions82, 84, 85. Such stable contacts are necessary for MDSCderived ROS and peroxynitrite to mediate effects on the molecules on the surface of T cells that render the T cells unresponsive to specific antigen. It should be noted that such modification of cell-surface molecules does not lead to T-cell death nor prevent nonspecific T-cell activation. Other evidence that supports the idea that MDSCs mediate antigen-specific suppression is the finding that that MDSCs can take up soluble antigens, including tumourassociated antigens, and process and present them to T cells17 80; blockade of MDSC–T-cell interactions with a MHC-class-I-specific antibody abrogated MDSC-mediated inhibition of T cell responses in vitro86. The MHC-class-I-restricted nature of MDSC-mediated CD8+ T-cell suppression has also been demonstrated in vivo in tumor models53 and in the model of inflammatory bowel disease 35. This is consistent with the recent observation that large numbers of tumour-induced MDSCs did not inhibit CD8+ T-cell responses specific for unrelated antigens in a model of sporadic cancer87. Notably, it is currently unclear whether similar antigen-specific mechanisms of MDSC-mediated suppression operate on CD4+ T cells, as published studies have only assessed the effects of MDSCs on CD8+ T cells. Addressing this question is complicated by the fact that only a small proportion of MDSCs in many tumour models expresses MHC class II molecules.
The theory that MDSCs suppress T-cell responses in an antigen-specific manner helps to explain the finding that T cells in the peripheral lymphoid organs of tumour-bearing mice and in the peripheral blood of cancer patients can still respond to stimuli other than tumourassociated antigens, including viruses, lectins, co-stimulatory molecules, IL-2 and CD3- and CD28-specific antibodies21, 80, 88-90. Furthermore, even patients with advanced stage cancer do not have systemic immunodeficiency except in cases in which the patient has received high doses of chemotherapy or is at a terminal stage of the disease.
Evidence suggets that the nature of MDSC-mediated suppression at the tumour site is quite different to that which occurs in the periphery. MDSCs actively migrate into the tumour site10, where they upregulate the expression of ARG1 and iNOS, downregulate the production of ROS and/or rapidly differentiate into tumour-associated macrophages (TAMs) 52. The levels of NO and arginase produced by tumour-associated MDSCs and TAMs are much higher than those of MDSCs found in peripheral lymphoid organs of the same animals. In addition, TAMs produce several cytokines (reviewed in REFs91, 92) that suppress T-cell responses in a nonspecific manner (Fig. 4). The mechanisms by which MDSC functions are regulated within the tumour microenvironment, and how they differ from those that operate at peripheral sites, remain unclear. It is possible that tumour stroma, hypoxia and/or the acidophilic environment have a role.
Therapeutic targeting of MDSCs The recognition that immune suppression has a crucial role in promoting tumour progression and contributes to the frequent failure of cancer vaccines to elicit an immune response has resulted in a paradigm shift with respect to approaches for cancer immunotherapy. Indeed, it has become increasingly clear that successful cancer immunotherapy will be possible only with a strategy that involves the elimination of suppressive factors from the body. As MDSCs are one of the main immunosuppressive factors in cancer and other pathological conditions, several different therapeutic strategies that target these cells are currently being explored (Table 2). Although the studies described below were carried out in tumor-bearing hosts, it is likely that the same strategies will be useful in other pathological conditions in which inhibition or elimination of MDSCs is a therapeutic aim.
Promoting myeloid-cell differentiation—One of the most promising approaches by which to target MDSCs for therapy is to promote their differentiation into mature myeloid cells that do not have suppressive abilities. Vitamin A has been identified as a compound that can mediate this effect: vitamin A metabolites such as retinoic acid have been found to stimulate the differentiation of myeloid progenitors into DCs and macrophages 86, 93. Mice that are deficient in vitamin A94 or that have been treated with a pan-retinoic-acid-receptor antagonist95, show an expansion of MDSCs in the bone marrow and spleen. Conversely, therapeutic concentrations of all-trans retinoic acid (ATRA) results in substantial decrease in the presence of MDSCs in cancer patients and tumour-bearing mice. ATRA induced MDSCs to differentiate into DCs and macrophages in vitro and in vivo 12, 86, 96. It is probable that ATRA preferentially induces the differentiation of the monocytic subset of MDSCs, whereas it causes apoptosis of the granulocytic subset. The main mechanism of ATRA-mediated differentiation involved an upregulation of glutathione synthesis and a reduction in ROS levels in MDSCs 97. Decreasing the number of MDSCs in tumour-bearing mice resulted in increased tumour-specific T-cell responses, and the combination of ATRA and two different types of cancer vaccine prolonged the anti-tumour effect of the vaccine treatment in two different tumour models 96. Moreover, administration of ATRA to patients with metastatic renal cell carcinoma resulted in a substantial decrease in the number of MDSCs in the peripheral blood and improved antigen-specific response of T cells 21. Further studies will lead to identification of other agents that have a similar effect. So far, evidence suggests that Vitamin D3 may be another agent with the potential to decrease MDSC numbers in patients with cancer, as it is also known to promote myeloid-cell differentiation98.
Inhibition of MDSC expansion—Because MDSC expansion is known to be regulated by tumour-derived factors (Table 1), several studies have focused on neutralizing the effects of these factors. Recently, SCF has been implicated in causing MDSC expansion in tumourbearing mice39. Inhibition of SCF-mediated signalling by blocking its interaction with its receptor, c-kit, decreased MDSC expansion and tumor angiogenesis39. VEGF, another tumourderived factor that is involved in promoting MDSC expansion, might also be a useful target by which to manipulate MDSC. However, in a clinical trial of 15 patients with refractory solid tumours, treatment with VEGF–trap (a fusion protein that binds all forms of VEGF-A and placental growth factor) showed no effect on MDSC numbers and did not result in increased T-cell responses99. By contrast, treatment of patients with metastatic renal cell cancer with a VEGF-specific blocking antibody (known as avastin) resulted in a decrease in the size of a CD11b+VEGFR1+ population of MDSCs in the peripheral blood 100. However, whether avastatin treatment resulted in an improvement in antitumour responses in these patients has not been determined. Finally, inhibition of matrix metalloproteinase 9 function in tumorbearing mice decreased the number of MDSCs in the spleen and tumour tissues and resulted in a significant delay in the growth of spontaneous NeuT tumours in transgenic BALB/c mice101. However, the mechanism responsible for this outcome remains to be elucidated.
Inhibition of MDSC function—Another approach by which to inhibit MDSCs is to block the signalling pathways that regulate the production of suppressive factors by these cells. One potential target by which this might be achieved is COX2. COX2 is required for the production of prostaglandin E2, which in 3LL tumour cells61 and mammary carcinoma40 has been shown to induce the upregulation of ARG1 expression by MDSCs, thereby inducing their suppressive function. Accordingly, COX2 inhibitors were found to downregulate the expression of ARG1 by MDSCs, which improved antitumour T-cell responses and enhanced the therapeutic efficacy of immunotherapy102, 103. Similarly, phosphodiesterase-5 inhibitors such as sildenafil were found to downregulate the expression of arginase and iNOS expression by MDSCs, thereby inhibiting their suppressive function in growing tumours104. This resulted in the induction of a measurable anti-tumour immune response and a marked delay of tumour progression in several mouse models 104.
ROS inhibitors have also been shown to be effective for decreasing MDSC-mediated immune suppression in tumour-bearing mice. The coupling of a NO-releasing moiety to a conventional non-steroidal anti-inflammatory drug has proven to be an efficient means by which to inhibit the production of ROS. One such drug, nitroaspirin, was found to limit the activity of ARG1 and iNOS in spleen MDSCs105. In combination with vaccination with endogenous retroviral gp70 antigen, nitroaspirin inhibited MDSCs function and increased the number and function of tumour-antigen-specific T cells105.
Elimination of MDSCs—MDSCs can be directly eliminated in pathological settings by using some chemotherapeutic drugs. Administration of one such drug, gemcitabine, to mice that were bearing large tumours resulted in a dramatic reduction in the number of MDSCs in the spleen and resulted in a marked improvement in the anti-tumour response induced by immunotherapy106, 107. This effect was specific to MDSCs, as a significant decrease in the number of T or B cells was not observed in these animals. Furthermore, in a study of 17 patients with early-stage breast cancer that were treated with doxorubicin–cyclophosphamide chemotherapy, a decrease in the level of MDSCs in the peripheral blood was observed22.
Evidence suggests that there is a broad range of methods that will be effective for targeting of the number and/or function of MDSCs in vivo. These strategies will undoubtedly help to further investigate the biology of these cells as well as expedite clinical applications to treat cancer and other pathological conditions.
MDSCs as regulatory myeloid cells? The wealth of information that has accumulated in recent years regarding the biology of MDSCs suggests that these cells might have evolved as a regulatory component of the immune system. These cells are absent under physiological conditions, as IMCs in naive mice are an intrinsic part of normal haematopoiesis that are not immunosuppressive in an unactivated state. In conditions of acute stress, infection or immunization, there is a transient expansion of this IMC population, which then quickly differentiates into mature myeloid cells. This transient IMC population can mediate the suppressive functions that are characteristic of MDSCs but, because the acute conditions are short-lived, the suppressive functions of this transient population have a minimal impact on the overall immune response. However, these cells probably function as important ‘gatekeepers’ that prevent pathological immune-mediated damage.
The role of the MDSC population in settings of chronic infections and cancer is very different. In these pathological conditions, the prolonged and marked expansion of IMCs and their subsequent activation leads to the expansion of a large population of MDSCs with immunosuppressive abilities. MDSCs accumulate in peripheral lymphoid organs and migrate to tumour sites, where they contribute to immunosuppression. Furthermore, some evidence suggests that MDSCs can also induce expansion of regulatory T cells. Future studies will reveal whether MDSCs can be considered part of a natural immune regulatory network.
Concluding remarks The field of MDSC research has more outstanding questions than answers. The roles of specific MDSC subsets in mediating T-cell suppression, and the molecular mechanisms responsible for inhibition of myeloid-cell differentiation, need to be elucidated. The issue of whether Tcell suppression occurs in an antigen-specific manner remains to be clarified, as do the mechanisms that cause MDSC migration to peripheral lymphoid organs. Some of the main priorities in this field should include a better characterization of human MDSCs and a clear understanding of whether targeting these cells in patients with various pathological conditions will be of clinical significance. Conversely, adoptive cellular therapy with MDSCs may be an attractive opportunity by which to inhibit immune responses in the setting of autoimmune disease or transplantation. The challenge for these approaches will be to devise methods by which to generate these cells ex vivo in clinical-grade conditions such that they are suitable for administration to patients. If the past 5–6 years are an indication of the potential for progress in this area, it is safe to estimate that there will soon be significantly more discoveries that further our understanding about the biology and clinical utility of MDSCs.
Box 1. Definition of myeloid-derived suppressor cells (MDSCs)
• a heterogeneous population of cells of myeloid origin that consist of myeloid progenitors and immature macrophages, immature granulocytes and immature dendritic cells
• present in activated state that is characterized by the increased production of reactive oxygen and nitrogen species, and of arginase
• potent suppressors of various T-cell functions • in mice, their phenotype is CD11b+Gr1+, although functionally distinct subsets within this population have been identified (see main text)
• in humans, their phenotype is Lin-HLA-DR-CD33+ or CD11b+CD14-CD33+.
Human cells do not express a marker homologous to mouse Gr1. MDSC have also been identified within a CD15+ population in human peripheral blood.
• in the steady state, immature myeloid cells lack suppressive activity and are present in the bone marrow, but not in secondary lymphoid organs
• accumulation of MDSCs in lymphoid organs and in tumours in response to various growth factors and cytokines is associated with various pathological conditions (most notably cancer)
• in tumour tissues, MDSCs can be differentiated from tumour-associated macrophages (TAMs) by their high expression of Gr1 (not expressed by TAMs) by their low expression of F4/80 (expressed by TAMs), by the fact that a large proportion of MDSCs have a granulocytic morphology and based the upregulated expression of both arginase and inducible nitric oxide synthase by MDSCs but not TAMs.
References
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2. Buessow SC, Paul RD, Lopez DM. Influence of mammary tumor progression on phenotype and function of spleen and in situ lymphocytes in mice. J Natl Cancer Inst 1984;73:249–255. [PubMed: 6610791]
3. Seung L, Rowley D, Dubeym P, Schreiber H. Synergy between T-cell immunity and inhibition of paracrine stimulation causes tumor rejection. Proc Natl Acad Sci U S A 1995;92:6254–6258. [PubMed: 7603979]
4. Sinha P, Clements VK, Bunt SK, Albelda SM, Ostrand-Rosenberg S. Crosstalk between myeloidderived suppressor cells and macrophages subverts tumor immunity toward a type 2 response. J Immunol 2007;179:977–983. [PubMed: 17617589]
5. Murdoch C, Muthana M, Coffelt SB, Lewis CE. The role of myeloid cells in the promotion of tumour angiogenesis. Nat Rev Cancer 2008;8:618–631. [PubMed: 18633355]
6. Youn JI, Nagaraj S, Collazo M, Gabrilovich DI. Subsets of myeloid-derived suppressor cells in tumorbearing mice. J Immunol 2008;181:5791–5802. [PubMed: 18832739] Together with reference # 17 this paper described functional differences between subsets of MDSC.
7. Bronte V, et al. Identification of a CD11b(+)/Gr-1(+)/CD31(+) myeloid progenitor capable of activating or suppressing CD8(+) T cells. Blood 2000;96:3838. [PubMed: 11090068]
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“The proto-oncogenic transcription factor Myc is known to promote transcription of genes for the cell cycle as well as aerobic glycolysis and glutamine metabolism. Recently, Myc has been shown to play an essential role to induce the expression of glycolytic and glutamine metabolism genes in the initial hours of T cell activation. In a similar fashion, the transcription factor HIF1a can up-regulate glycolytic genes to allow cancer cells to survive under hypoxic conditions. “
Outsource a part of the T cell’s immune value chain, propose cancer immunotherapy researchers, from patient T cells to donor T cells. The novel allogeneic approach could rely on T-cell receptor gene transfer to generate broad and tumor-specific T-cell immune responses. [NIAID]
A new cancer immunotherapy approach could essentially outsource a crucial T-cell function. This function, T-cell reactivity to specific cancer antigens, is sometimes lacking in cancer patients. Yet, according to a new proof-of-principle study, these patients could benefit from T cells provided by healthy donors. Specifically, the healthy donors’ T cells could be used to broaden the T-cell receptor repertoires of the cancer patients’ T cells.
Ultimately, this approach relies on a cancer immunotherapy technique called T-cell receptor (TCR) transfer, or the genetic transfer of TCR chains. TCR transfer can be used to outsource the T cell’s learning function, the process by which a T cell acquires the ability to recognize foreign antigens—in this case, the sort of proteins that can be expressed on the surface of cancer cells. Because cancer cells harbor faulty proteins, they can also display foreign protein fragments, also known as neoantigens, on their surface, much in the way virus-infected cells express fragments of viral proteins.
The approach was detailed in a paper that appeared May 19 in the journal Science, in an article entitled, “Targeting of Cancer Neoantigens with Donor-Derived T Cell Receptor Repertoires.” This article, by scientists based at the Netherlands Cancer Institute and the University of Oslo, describes a novel strategy to broaden neoantigen-specific T-cell responses. Such a strategy would be useful in overcoming a common limitation seen in the immune response to cancer: Neoantigen-specific T-cell reactivity is generally limited to just a few mutant epitopes, even though the number of predicted epitopes is large.
“We demonstrate that T cell repertoires from healthy donors provide a rich source of T cells that specifically recognize neoantigens present on human tumors,” the study’s authors wrote. “Responses to 11 epitopes were observed, and for the majority of evaluated epitopes, potent and specific recognition of tumor cells endogenously presenting the neoantigens was detected.”
First, the researchers mapped all possible neoantigens on the surface of melanoma cells from three different patients. In all three patients, the cancer cells seemed to display a large number of different neoantigens. But when the researchers tried to match these to the T cells derived from within the patient’s tumors, most of these aberrant protein fragments on the tumor cells went unnoticed.
Next, the researchers tested whether the same neoantigens could be seen by T cells derived from healthy volunteers. Strikingly, these donor-derived T cells could detect a significant number of neoantigens that had not been seen by the patients’ T cells.
“Many of the T cell reactivities [among donor T cells] involved epitopes that in vivo were neglected by patient autologous tumor-infiltrating lymphocytes,” the authors of the Science article continued. “T cells re-directed with T cell receptors identified from donor-derived T cells efficiently recognized patient-derived melanoma cells harboring the relevant mutations, providing a rationale for the use of such ‘outsourced’ immune responses in cancer immunotherapy.”
“In a way, our findings show that the immune response in cancer patients can be strengthened; there is more on the cancer cells that makes them foreign that we can exploit. One way we consider doing this is finding the right donor T cells to match these neoantigens,” said Ton Schumacher, Ph.D., a principal investigator at the Netherlands Cancer Institute. “The receptor that is used by these donor T cells can then be used to genetically modify the patient’s own T cells so these will be able to detect the cancer cells.”
“Our study shows that the principle of outsourcing cancer immunity to a donor is sound,” added Johanna Olweus, M.D., Ph.D., who heads a research group at the University of Oslo. “However, more work needs to be done before patients can benefit from this discovery. Thus, we need to find ways to enhance the throughput.”
“We are currently exploring high-throughput methods to identify the neoantigens that the T cells can ‘see’ on the cancer and isolate the responding cells. But the results showing that we can obtain cancer-specific immunity from the blood of healthy individuals are already very promising.”
Targeting of cancer neoantigens with donor-derived T cell receptor repertoires
Accumulating evidence suggests that clinically efficacious cancer immunotherapies are driven by T cell reactivity against DNA mutation-derived neoantigens. However, among the large number of predicted neoantigens, only a minority is recognized by autologous patient T cells, and strategies to broaden neoantigen specific T cell responses are therefore attractive. Here, we demonstrate that naïve T cell repertoires of healthy blood donors provide a source of neoantigen-specific T cells, responding to 11/57 predicted HLA-A2-binding epitopes from three patients. Many of the T cell reactivities involved epitopes that in vivo were neglected by patient autologous tumor-infiltrating lymphocytes. Finally, T cells re-directed with T cell receptors identified from donor-derived T cells efficiently recognized patient-derived melanoma cells harboring the relevant mutations, providing a rationale for the use of such “outsourced” immune responses in cancer immunotherapy.
Metabolic maintenance of cell asymmetry following division in activated T lymphocytes.
Asymmetric cell division, the partitioning of cellular components in response to polarizing cues during mitosis, has roles in differentiation and development. It is important for the self-renewal of fertilized zygotes in Caenorhabditis elegans and neuroblasts in Drosophila, and in the development of mammalian nervous and digestive systems. T lymphocytes, upon activation by antigen-presenting cells (APCs), can undergo asymmetric cell division, wherein the daughter cell proximal to the APC is more likely to differentiate into an effector-like T cell and the distal daughter is more likely to differentiate into a memory-like T cell. Upon activation and before cell division, expression of the transcription factor c-Myc drives metabolic reprogramming, necessary for the subsequent proliferative burst. Here we find that during the first division of an activated T cell in mice, c-Myc can sort asymmetrically. Asymmetric distribution of amino acid transporters, amino acid content, and activity of mammalian target of rapamycin complex 1 (mTORC1) is correlated with c-Myc expression, and both amino acids and mTORC1 activity sustain the differences in c-Myc expression in one daughter cell compared to the other. Asymmetric c-Myc levels in daughter T cells affect proliferation, metabolism, and differentiation, and these effects are altered by experimental manipulation of mTORC1 activity or c-Myc expression. Therefore, metabolic signalling pathways cooperate with transcription programs to maintain differential cell fates following asymmetric T-cell division.
T cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy associated with Notch pathway mutations. While both normal activated and leukemic T cells can utilize aerobic glycolysis to support proliferation, it is unclear to what extent these cell populations are metabolically similar and if differences reveal T-ALL vulnerabilities. Here we show that aerobic glycolysis is surprisingly less active in T-ALL cells than proliferating normal T cells and that T-ALL cells are metabolically distinct. Oncogenic Notch promoted glycolysis but also induced metabolic stress that activated 5′ AMP-activated kinase (AMPK). Unlike stimulated T cells, AMPK actively restrained aerobic glycolysis in T-ALL cells through inhibition of mTORC1 while promoting oxidative metabolism and mitochondrial Complex I activity. Importantly, AMPK deficiency or inhibition of Complex I led to T-ALL cell death and reduced disease burden. Thus, AMPK simultaneously inhibits anabolic growth signaling and is essential to promote mitochondrial pathways that mitigate metabolic stress and apoptosis in T-ALL.
Obesity and diabetes are associated with excessive inflammation and impaired wound healing. Increasing evidence suggests that macrophage dysfunction is responsible for these inflammatory defects. In the setting of excess nutrients, particularly dietary saturated fatty acids (SFAs), activated macrophages develop lysosome dysfunction, which triggers activation of the NLRP3 inflammasome and cell death. The molecular pathways that connect lipid stress to lysosome pathology are not well understood, but may represent a viable target for therapy. Glutamine uptake is increased in activated macrophages leading us to hypothesize that in the context of excess lipids glutamine metabolism could overwhelm the mitochondria and promote the accumulation of toxic metabolites. To investigate this question we assessed macrophage lipotoxicity in the absence of glutamine using LPS-activated peritoneal macrophages exposed to the SFA palmitate. We found that glutamine deficiency reduced lipid induced lysosome dysfunction, inflammasome activation, and cell death. Under glutamine deficient conditions mTOR activation was decreased and autophagy was enhanced; however, autophagy was dispensable for the rescue phenotype. Rather, glutamine deficiency prevented the suppressive effect of the SFA palmitate on mitochondrial respiration and this phenotype was associated with protection from macrophage cell death. Together, these findings reveal that crosstalk between activation-induced metabolic reprogramming and the nutrient microenvironment can dramatically alter macrophage responses to inflammatory stimuli.
Immunoregulatory Protein B7-H3 Reprograms Glucose Metabolism in Cancer Cells by ROS-Mediated Stabilization of HIF1α
CD8(+) T cells can respond to unrelated infections in an Ag-independent manner. This rapid innate-like immune response allows Ag-experienced T cells to alert other immune cell types to pathogenic intruders. In this study, we show that murine CD8(+) T cells can sense TLR2 and TLR7 ligands, resulting in rapid production of IFN-γ but not of TNF-α and IL-2. Importantly, Ag-experienced T cells activated by TLR ligands produce sufficient IFN-γ to augment the activation of macrophages. In contrast to Ag-specific reactivation, TLR-dependent production of IFN-γ by CD8(+) T cells relies exclusively on newly synthesized transcripts without inducing mRNA stability. Furthermore, transcription of IFN-γ upon TLR triggering depends on the activation of PI3K and serine-threonine kinase Akt, and protein synthesis relies on the activation of the mechanistic target of rapamycin. We next investigated which energy source drives the TLR-induced production of IFN-γ. Although Ag-specific cytokine production requires a glycolytic switch for optimal cytokine release, glucose availability does not alter the rate of IFN-γ production upon TLR-mediated activation. Rather, mitochondrial respiration provides sufficient energy for TLR-induced IFN-γ production. To our knowledge, this is the first report describing that TLR-mediated bystander activation elicits a helper phenotype of CD8(+) T cells. It induces a short boost of IFN-γ production that leads to a significant but limited activation of Ag-experienced CD8(+) T cells. This activation suffices to prime macrophages but keeps T cell responses limited to unrelated infections.
The bidirectional interaction between the immune system and whole-body metabolism has been well recognized for many years. Via effects on adipocytes and hepatocytes, immune cells can modulate whole-body metabolism (in metabolic syndromes such as type 2 diabetes and obesity) and, reciprocally, host nutrition and commensal-microbiota-derived metabolites modulate immunological homeostasis. Studies demonstrating the metabolic similarities of proliferating immune cells and cancer cells have helped give birth to the new field of immunometabolism, which focuses on how the cell-intrinsic metabolic properties of lymphocytes and macrophages can themselves dictate the fate and function of the cells and eventually shape an immune response. We focus on this aspect here, particularly as it relates to regulatory T cells.
Figure 1: Proposed model for the metabolic signatures of various Treg cell subsets.
(a) Activated CD4+ T cells that differentiate into the Teff cell lineage (green) (TH1 or TH17 cells) are dependent mainly on carbon substrates such as glucose and glutamine for their anabolic metabolism. In contrast to that, pTreg cells…
T-bet is a key modulator of IL-23-driven pathogenic CD4+ T cell responses in the intestine
IL-23 is a key driver of pathogenic Th17 cell responses. It has been suggested that the transcription factor T-bet is required to facilitate IL-23-driven pathogenic effector functions; however, the precise role of T-bet in intestinal T cell responses remains elusive. Here, we show that T-bet expression by T cells is not required for the induction of colitis or the differentiation of pathogenic Th17 cells but modifies qualitative features of the IL-23-driven colitogenic response by negatively regulating IL-23R expression. Consequently, absence of T-bet leads to unrestrained Th17 cell differentiation and activation characterized by high amounts of IL-17A and IL-22. The combined increase in IL-17A/IL-22 results in enhanced epithelial cell activation and inhibition of either IL-17A or IL-22 leads to disease amelioration. Our study identifies T-bet as a key modulator of IL-23-driven colitogenic responses in the intestine and has important implications for understanding of heterogeneity among inflammatory bowel disease patients.
Th17 cells are enriched at mucosal sites, produce high amounts of IL-17A, IL-17F and IL-22, and have an essential role in mediating host protective immunity against a variety of extracellular pathogens1. However, on the dark side, Th17 cells have also been implicated in a variety of autoimmune and chronic inflammatory conditions, including inflammatory bowel disease (IBD)2. Despite intense interest, the cellular and molecular cues that drive Th17 cells into a pathogenic state in distinct tissue settings remain poorly defined.
The Th17 cell programme is driven by the transcription factor retinoid-related orphan receptor gamma-t (RORγt) (ref. 3), which is also required for the induction and maintenance of the receptor for IL-23 (refs 4, 5). The pro-inflammatory cytokine IL-23, composed of IL-23p19 and IL-12p40 (ref. 6), has been shown to be a key driver of pathology in various murine models of autoimmune and chronic inflammatory disease such as experimental autoimmune encephalomyelitis (EAE)7, collagen induced arthritis8 and intestinal inflammation9, 10, 11, 12. Several lines of evidence, predominantly derived from EAE, suggest that IL-23 promotes the transition of Th17 cells to pathogenic effector cells9, 10, 11, 12. Elegant fate mapping experiments of IL-17A-producing cells during EAE have shown that the majority of IL-17A+IFN-γ+ and IL-17A−IFN-γ+ effector cells arise from Th17 cell progeny13. This transition of Th17 cells into IFN-γ-producing ‘ex’ Th17 cells required IL-23 and correlated with increased expression of T-bet. The T-box transcription factor T-bet drives the Th1 cell differentiation programme14 and directly transactivates the Ifng gene by binding to its promoter as well as multiple enhancer elements15. Indeed, epigenetic analyses have revealed that the loci for T-bet and IFN-γ are associated with permissive histone modifications in Th17 cells suggesting that Th17 cells are poised to express T-bet which could subsequently drive IFN-γ production16, 17.
A similar picture is emerging in the intestine where IL-23 drives T-cell-mediated intestinal pathology which is thought to be dependent on expression of T-bet18 and RORγt (ref. 19) by T cells. In support of this we have recently shown that IL-23 signalling in T cells drives the emergence of IFN-γ producing Th17 cells in the intestine during chronic inflammation20. Collectively these studies suggest a model whereby RORγt drives differentiation of Th17 cells expressing high amounts of IL-23R, and subsequently, induction of T-bet downstream of IL-23 signalling generates IL-17A+IFN-γ+ T cells that are highly pathogenic. Indeed, acquisition of IFN-γ production by Th17 cells has been linked to their pathogenicity in several models of chronic disease13, 21, 22, 23, 24 and a population of T cells capable of producing both IL-17A and IFN-γ has also been described in intestinal biopsies of IBD patients25, 26.
However, in the context of intestinal inflammation, it remains poorly defined whether the requirement for RORγt and T-bet reflects a contribution of Th17 and Th1 cells to disease progression or whether Th17 cells require T-bet co-expression to exert their pathogenic effector functions. Here, we use two distinct models of chronic intestinal inflammation and make the unexpected finding that T-bet is dispensable for IL-23-driven colitis. Rather the presence of T-bet serves to modify the colitogenic response restraining IL-17 and IL-22 driven pathology. These data identify T-bet as a key modulator of IL–23-driven colitogenic effector responses in the intestine and have important implications for understanding of heterogeneous immune pathogenic mechanisms in IBD patients.
Figure 1: IL-23 signalling is required for bacteria-driven T-cell-dependent colitis and the emergence of IL-17A+IFN-γ+ T cells.
C57BL/6 WT and Il23r−/− mice were infected orally with Hh and received weekly i.p. injections of IL-10R blocking antibody. Mice were killed at 4 weeks post infection and assessed for intestinal inflammation. (a) Colitis scores. (b) Typhlitis sores. (c) Representative photomicrographs of colon and caecum (× 10 magnification; scale bars, 200μM). (d) Representative flow cytometry plots of colonic lamina propria gated on viable CD4+ T cells. (e) Frequencies of IL-17A+ and/or IFN-γ+ CD4+ T cells present in the colon. Data represent pooled results from two independent experiments (n=12 for WT, n=10 for Il23r−/−). Bars are the mean and each symbol represents an individual mouse. *P<0.05, ***P<0.001 as calculated by Mann–Whitney U test.
C57BL/6 Rag1−/− mice were injected i.p. with 4 × 105 CD4+CD25−CD45RBhi T cells from C57BL/6 WT,Rorc−/− or Tbx21−/− donors. Mice were killed when recipients of Tbx21−/− T cells developed clinical signs of disease (4–6 weeks) and assessed for intestinal inflammation. (a) Colitis scores. (b) Representative photomicrographs of proximal colon sections (× 10 magnification; scale bars, 200μM). (c) Concentration of cytokines released from colon explants into the medium after overnight culture. Data represent pooled results from two independent experiments (n=14 for WT, n=11 for Rorc−/−, n=14 forTbx21−/−). Bars are the mean and each symbol represents an individual mouse. Bars are the mean and error bars represent s.e.m. *P<0.05, **P<0.01, ***P<0.001 as calculated by Kruskal–Wallis one-way ANOVA with Dunn’s post-test.
C57BL/6 Rag1−/− mice were injected i.p. with 4×105 CD4+CD25−CD45RBhi T cells from C57BL/6 WT,Rorc−/− or Tbx21−/− donors. Mice were killed when recipients of Tbx21−/−T cells developed clinical signs of disease (4–6 weeks). (a) Representative plots of IL-17A and IFN-γ expression in colonic CD4+ T cells. (b) Frequencies of IL-17A+ and/or IFN-γ+ cells among colonic CD4+ T cells. (c) Total numbers of IL-17A+and/or IFN-γ+ CD4+ T cells present in the colon. Data represent pooled results from three independent experiments (n=20 for WT, n=18 for Tbx21−/−, n=12 for Rorc−/−). Bars are the mean and each symbol represents an individual mouse. *P<0.05, **P<0.01, ***P<0.001 as calculated by Kruskal–Wallis one-way ANOVA with Dunn’s post-test.
T-bet deficiency promotes an exacerbated Th17-type response
Our transfer of Tbx21−/− T cells revealed a striking increase in the frequency of IL-17A+IFN-γ−cells (Fig. 3) and we reasoned that T-bet-deficiency could impact on Th17 cell cytokine production. Therefore, we transferred WT or Tbx21−/− CD4+ T cells into Rag1−/− recipients and measured the expression of RORγt, IL-17A, IL-17F and IL-22 by CD4+ T cells isolated from the colon. In agreement with our earlier findings, Tbx21−/− T cells gave rise to significantly increased frequencies of RORγt-expressing T cells capable of producing IL-17A (Fig. 4a). Furthermore, T-bet deficiency also led to a dramatic expansion of IL-17F and IL-22-expressing cells, which constituted only a minor fraction in WT T cells (Fig. 4a,b). By contrast, the frequency of granulocyte-macrophage colony-stimulating factor (GM-CSF) and IFN-γ producing cells was significantly reduced in T-bet-deficient T cells as compared with WT T cells. When analysed in more detail we noted that the production of IL-17A, IL-17F and IL-22 increased specifically in T-bet-deficient IL-17A+IFN-γ+ T cells as compared with WT T cells whereas IFN-γ production decreased overall in the absence of T-bet as expected (Supplementary Fig. 4A). Similarly, GM-CSF production was also generally reduced in Tbx21−/− CD4+ T cells further suggesting a shift in the qualitative nature of the T cell response.
Figure 4: T-bet-deficient CD4+ T cells promote an exacerbated Th17-type inflammatory response.
C57BL/6 Rag1−/− mice were injected i.p. with 4×105 CD4+CD25−CD45RBhi T cells from C57BL/6 WT orTbx21−/− donors. Mice were killed when recipients of Tbx21−/−T cells developed clinical signs of disease (4–6 weeks). (a) Representative plots of cytokines and transcription factors in WT or Tbx21−/− colonic CD4+ T cells. (b) Frequency of IL-17A+, IL-17F+, IL-22+, GM-CSF+ or IFN-γ+ colonic T cells in WT orTbx21−/−. (c) quantitative reverse transcription PCR (qRT-PCR) analysis of mRNA levels of indicated genes in colon tissue homogenates. (d) Total number of neutrophils (CD11b+ Gr1high) in the colon. (e) Primary epithelial cells were isolated from the colon of steady state C57BL/6 Rag1−/− mice and stimulated with 10ngml−1 cytokines for 4h after which cells were harvested and analysed by qRT-PCR for the indicated genes. Data in b–d represent pooled results from two independent experiments (n=14 for WT, n=11 for Tbx21−/−). Bars are the mean and error bars represent s.e.m. Data in e are pooled results from four independent experiments, bars are the mean and error bars represent s.e.m. *P<0.05, **P<0.01,***P<0.001 as calculated by Mann–Whitney U test.
T-bet-deficient colitis depends on IL-23, IL-17A and IL-22
In the present study we show that bacteria-driven colitis is associated with the IL-23-dependent emergence of IFN-γ-producing Th17 cells co-expressing RORγt and T-bet. Strikingly, while RORγt is required for the differentiation of IFN-γ-producing Th17 cells and induction of colitis, T-bet is dispensable for the emergence of IL-17A+IFN-γ+ T cells and intestinal pathology. Our results show that instead of a mandatory role in the colitogenic response, the presence of T-bet modulates the qualitative nature of the IL-23-driven intestinal inflammatory response. In the presence of T-bet, IL-23-driven colitis is multifunctional in nature and not functionally dependent on either IL-17A or IL-22. By contrast, in the absence of T-bet a highly polarized colitogenic Th17 cell response ensues which is functionally dependent on both IL-17A and IL-22. T-bet-deficient T cells are hyper-responsive to IL-23 resulting in enhanced STAT3 activation and downstream cytokine secretion providing a mechanistic basis for the functional changes. These data newly identify T-bet as a key modulator of IL-23-driven colitogenic CD4+ T cell responses.
Contrary to our expectations T-bet expression by CD4 T cells was not required for their pathogenicity. In keeping with the negative effect of T-bet on Th17 differentiation40, 41, 42, we observed highly polarized Th17 responses in T-bet-deficient intestinal T cells. Early studies demonstrated that IFN-γ could suppress the differentiation of Th17 cells40 and thus the reduced IFN-γ production by Tbx21−/−T cells could facilitate Th17 cell generation. However, our co-transfer studies revealed unrestrained Th17 differentiation of Tbx21−/− T cells even in the presence of WT T cells, suggesting a cell autonomous role for T-bet-mediated suppression of the Th17 programme. Indeed, the role of T-bet as a transcriptional repressor of the Th17 cell fate has been described recently. For example, T-bet physically interacts with and sequesters Runx1, thereby preventing Runx1-mediated induction of RORγt and Th17 cell differentiation43. In addition, T-bet binds directly to and negatively regulates expression of many Th17-related genes15, 34 and we identified IL23r to be repressed in a T-bet-dependent manner. In line with this we show here that T-bet-deficient intestinal T cells express higher amounts of Il23r as well as Rorc. This resulted in enhanced IL-23-mediated STAT3 activation and increased production of IL-17A and IL-22. It has also been suggested that T-bet activation downstream of IL-23R signalling is required for pathogenic IL-23-driven T cell responses43, 44. However, we did not find a role for IL-23 in the induction and/or maintenance of T-bet expression and colitis induced by T-bet-deficient T cells was IL-23 dependent. Collectively, these findings demonstrate that T-bet deficiency leads to unrestrained expansion of colitogenic Th17 cells, which is likely mediated through enhanced activation of the IL-23R-STAT3 pathway.
The observation that T-bet-deficient T cells retain their colitogenic potential is in stark contrast to earlier studies. Neurath et al.18 convincingly showed that adoptive transfer of Tbx21−/− CD4+ T cells into severe combined immunodeficiency (SCID) recipients failed to induce colitis and this correlated with reduced IFN-γ and increased IL-4 production. Another study revealed that IL-4 plays a functional role in inhibiting the colitogenic potential of Tbx21−/− T cells, as recipients ofStat6−/−Tbx21−/− T cells developed severe colitis37. Importantly, the intestinal inflammation that developed in recipients of Stat6−/−Tbx21−/− T cells could be blocked by administration of IL-17A neutralizing antibody, suggesting that the potent inhibitory effect of IL-4/STAT6 signals on Th17 differentiation normally prevent colitis induced by Tbx21−/− T cells37. Various explanations could account for the discrepancy between our study and those earlier findings. First, in contrast to the published reports, we used naïve Tbx21−/− CD4+ T cells from C57BL/6 mice instead of BALB/c mice. An important difference between Tbx21−/− CD4+ T cells from these genetic backgrounds appears to be their differential susceptibility to suppression by IL-4/STAT6 signals. We found that transfer of Tbx21−/− T cells induced IL-17A-dependent colitis despite increased frequencies of IL-4-expressing cells in the intestine. This discrepancy may be due to higher amounts of IL-4 produced by activated CD4+ T cells from BALB/c versus C57BL/6 mice45, leading to the well-described Th2-bias of the BALB/c strain45. Second, differences in the composition of the intestinal microbiota between animal facilities can have a substantial effect on skewing CD4+ T cells responses. In particular, the Clostridium-related segmented filamentous bacteria (SFB) have been shown to drive the emergence of IL-17 and IL-22 producing CD4+ T cells in the intestine46. Importantly, the ability of naïve CD4+ T cells to induce colitis is dependent on the presence of intestinal bacteria, as germ-free mice do not develop pathology upon T cell transfer47. In line with this, we previously described that colonization of germ-free mice with intestinal microbiota containing SFB was necessary to restore the development of colitis47. Since our Rag1−/− colony is SFB+ and the presence of SFB was not reported in the previous studies, it is possible that differences in SFB colonization status contributed to the observed differences in pathogenicity ofTbx21−/− T cells.
It is important to note that T-bet-deficient T cells did not induce more severe colitis than WT T cells but rather promoted a distinct mucosal inflammatory response. Colitis induced by WT T cells is characterized by a multifunctional response with high amounts of IFN-γ and GM-CSF and a lower IL-17A and IL-22 response. Consistent with this, we have shown that blockade of GM-CSF abrogates T cell transfer colitis48 as well as bacteria-driven intestinal inflammation49 in T-bet sufficiency whereas blockade of IL-17A or IL-22 fails to do so. By contrast T-bet deficiency leads to production of high amounts of IL-17A and IL-22 in the colon and neutralization of either was sufficient to reduce intestinal pathology. Our in vitro experiments suggest that IL-17A and IL-22 synergise to promote intestinal epithelial cell responses, which may in part explain the efficacy of blocking IL-17A or IL-22 in colitis induced by T-bet-deficient T cells. A similar synergistic interplay has been described in the lung where IL-22 served a tissue protective function in homeostasis but induced airway inflammation in the presence of IL-17A (ref. 50). This highlights the complexity of the system in health and disease, and the need for a controlled production of both cytokines. We describe here only one mechanism of how IL-17A/IL-22 induce a context-specific epithelial cell response that potentially impacts on the order or composition of immune cell infiltration. Overall, these results provide a new perspective on T-bet, revealing its role in shaping the qualitative nature of the IL-23-driven colitogenic T cell response.
We also describe here the unexpected finding that a substantial proportion of T-bet-deficient intestinal T cells retain the ability to express IFN-γ. To investigate the potential mechanisms responsible for T-bet-independent IFN-γ production by intestinal CD4+ T cells we focused on two transcription factors, Runx3 and Eomes. Runx3 has been shown to promote IFN-γ expression directly through binding to the Ifng promoter38 and Eomes is known to compensate for IFN-γproduction in T-bet-deficient Th1 cells37. We found IL-23-mediated induction of Runx3 protein in WT and Tbx21−/− T cells isolated from the intestine, thus identifying Runx3 downstream of IL-23R signalling. By contrast, we could only detect Eomes protein and its induction by IL-23 in T-bet-deficient but not WT T cells. Thus, Runx3 and Eomes are activated in response to IL-23 in T-bet-deficient cells and are likely to be drivers of T-bet-independent IFN-γ production. In support of this we found that the majority of T-bet-deficient IL-17A−IFN-γ+ T cells expressed Eomes. However, only a minor population of IL-17A+IFN-γ+ T cells stained positive for Eomes, suggesting the existence of alternative pathways for IFN-γ production by Th17 cells. Intriguingly, a recent study identified Runx3 and Runx1 as the transcriptional regulators critical for the differentiation of IFN-γ-producing Th17 cells51. The author’s demonstrated that ectopic expression of Runx transcription factors was sufficient to induce IFN-γ production by Th17 cells even in the absence of T-bet. These findings, combined with our data on Runx3 activation downstream of IL-23R signalling strongly suggest that Runx3 rather than Eomes is driving IFN-γ expression by intestinal Th17 cells.
We have not formally addressed the role of IFN-γ in colitis driven by T-bet-deficient T cells. A recent report by Zimmermann et al.52 found that antibody-mediated blockade of IFN-γ ameliorates colitis induced by WT or T-bet-deficient T cells suggesting IFN-γ also contributes to the colitogneic response mediated by T-bet-deficient T cells as originally described for WT T cells53, 54. By contrast with our results the Zimmerman study found that IL-17A blockade exacerbated colitis following transfer of Tbx21−/− T cells. The reason for the differential role of IL-17A in the two studies is not clear but it is notable that the Zimmerman study was performed in the presence of co-infection with SFB and Hh, and this strong inflammatory drive may alter the pathophysiological role of particular cytokines. Together the data indicate that T-bet deficiency in T cells does not impede their colitogenic activity but that the downstream effector cytokines of the response are context dependent.
In conclusion, our data further underline the essential role for IL-23 in intestinal inflammation and demonstrate that T-bet is an important modulator of the IL–23-driven effector T cell response. The colitogenic T cell response in a T-bet sufficient environment is multifunctional with a dominant GM-CSF and IFN-γ response. By contrast T-bet-deficient colitogenic responses are dominated by IL-17A and IL-22-mediated immune pathology. These results may have significant bearing on human IBD where it is now recognized that differential responsiveness to treatment may reflect considerable disease heterogeneity. As such, identification of suitable biomarkers such as immunological parameters, that allow stratification of patient groups, is becoming increasingly important55. Genome-wide association studies have identified polymorphisms in loci related to innate and adaptive immune arms that confer increased susceptibility to IBD. Among these are Th1 (STAT4, IFNG and STAT1) as well as Th17-related genes (RORC, IL23R and STAT3) (refs56, 57). Thus, detailed profiling of the T cell response in IBD patients may help identify appropriate patient groups that are most likely to benefit from therapeutic blockade of certain effector cytokines. Finally, our studies highlight the importance of IL-23 in the intestinal inflammatory hierarchy and suggest that IL-23 could be an effective therapeutic target across a variety of patient groups.
Yale study: How antibodies access neurons to fight infection
Yale scientists have solved a puzzle of the immune system: how antibodies enter the nervous system to control viral infections. Their finding may have implications for the prevention and treatment of a range of conditions, including herpes and Guillain-Barre syndrome, which has been linked to the Zika virus.
Many viruses — such as West Nile, Zika, and the herpes simplex virus — enter the nervous system, where they were thought to be beyond the reach of antibodies. Yale immunobiologists Akiko Iwasaki and Norifumi Iijima used mice models to investigate how antibodies could gain access to nerve tissue in order to control infection.
In mice infected with herpes, they observed a previously under-recognized role of CD4 T cells, a type of white blood cell that guards against infection by sending signals to activate the immune system. In response to herpes infection, CD4 T cells entered the nerve tissue, secreted signaling proteins, and allowed antibody access to infected sites. Combined, CD4 T cells and antibodies limited viral spread.
“This is a very elegant design of the immune system to allow antibodies to go to the sites of infection,” said Iwasaki. “The CD4 T cells will only go to the site where there is a virus. It’s a targeted delivery system for antibodies.”
Access of protective antiviral antibody to neuronal tissues requires CD4 T-cell help
Circulating antibodies can access most tissues to mediate surveillance and elimination of invading pathogens. Immunoprivileged tissues such as the brain and the peripheral nervous system are shielded from plasma proteins by the blood–brain barrier1 and blood–nerve barrier2, respectively. Yet, circulating antibodies must somehow gain access to these tissues to mediate their antimicrobial functions. Here we examine the mechanism by which antibodies gain access to neuronal tissues to control infection. Using a mouse model of genital herpes infection, we demonstrate that both antibodies and CD4 T cells are required to protect the host after immunization at a distal site. We show that memory CD4 T cells migrate to the dorsal root ganglia and spinal cord in response to infection with herpes simplex virus type 2. Once inside these neuronal tissues, CD4 T cells secrete interferon-γ and mediate local increase in vascular permeability, enabling antibody access for viral control. A similar requirement for CD4 T cells for antibody access to the brain is observed after intranasal challenge with vesicular stomatitis virus. Our results reveal a previously unappreciated role of CD4 T cells in mobilizing antibodies to the peripheral sites of infection where they help to limit viral spread.
T Cells Help Reverse Ovarian Cancer Drug Resistance
T cells (red) attack ovarian cancer cells (green). [University of Michigan Health System]
Researchers at the University of Michigan have recently published the results from a new study that they believe underscores why so many ovarian tumors develop resistance to chemotherapy. The tumor microenvironment is made up of an array of cell types, yet effector T cells and fibroblasts constitute the bulk of the tissue. The investigators believe that understanding the interplay between these two cell types holds the key to how ovarian cancer cells develop resistance.
The new study suggests that the fibroblasts surrounding the tumor work to block chemotherapy, which is why nearly every woman with ovarian cancer becomes resistant to treatment. Conversely, the scientists published evidence that T cells in the microenvironment can reverse the resistance phenotype—suggesting a whole different way of thinking about chemotherapy resistance and the potential to harness immunotherapy drugs to treat ovarian cancer.
“Ovarian cancer is often diagnosed at late stages, so chemotherapy is a key part of treatment,” explained co-senior study author J. Rebecca Liu, M.D., associate professor of obstetrics and gynecology at the University of Michigan. “Most patients will respond to it at first, but everybody develops chemoresistance. And that’s when ovarian cancer becomes deadly.”
Dr. Liu continued, stating that “in the past, we’ve thought the resistance was caused by genetic changes in tumor cells. But we found that’s not the whole story.”
The University of Michigan team looked at tissue samples from ovarian cancer patients and separated the cells by type to study the tumor microenvironment in vitro and in mice. More importantly, the scientists linked their findings back to actual patient outcomes.
The results of this study were published recently in Cell through an article entitled “Effector T Cells Abrogate Stroma-Mediated Chemoresistance in Ovarian Cancer.”
Ovarian cancer is typically treated with cisplatin, a platinum-based chemotherapy. The researchers found that fibroblasts blocked platinum. These cells prevented platinum from accumulating in the tumor and protected tumor cells from being killed off by cisplatin.
Diagram depicting how T cells can reverse chemotherapeutic resistance. [Cell, Volume 165, Issue 5, May 19, 2016]
“We show that fibroblasts diminish the nuclear accumulation of platinum in ovarian cancer cells, resulting in resistance to platinum-based chemotherapy,” the authors wrote. “We demonstrate that glutathione and cysteine released by fibroblasts contribute to this resistance.”
T cells, on the other hand, overruled the protection of the fibroblasts. When researchers added the T cells to the fibroblast population, the tumor cells began to die off.
“CD8+ T cells abolish the resistance by altering glutathione and cystine metabolism in fibroblasts,” the authors explained. “CD8+ T-cell-derived interferon (IFN)γ controls fibroblast glutathione and cysteine through upregulation of gamma-glutamyltransferases and transcriptional repression of system xc−cystine and glutamate antiporter via the JAK/STAT1 pathway.”
By boosting the effector T cell numbers, the researchers were able to overcome the chemotherapy resistance in mouse models. Moreover, the team used interferon, an immune cell-secreted cytokine, to manipulate the pathways involved in cisplatin.
“T cells are the soldiers of the immune system,” noted co-senior study author Weiping Zou, M.D., Ph.D., professor of surgery, immunology, and biology at the University of Michigan. “We already know that if you have a lot of T cells in a tumor, you have better outcomes. Now we see that the immune system can also impact chemotherapy resistance.”
The researchers suggest that combining chemotherapy with immunotherapy may be effective against ovarian cancer. Programmed death ligand 1 (PD-L1) and PD-1 pathway blockers are currently FDA-approved treatments for some cancers, although not ovarian cancer.
“We can imagine re-educating the fibroblasts and tumor cells with immune T cells after chemoresistance develops,” Dr. Zou remarked.
“Then we could potentially go back to the same chemotherapy drug that we thought the patient was resistant to. Only now we have reversed that, and it’s effective again,” Dr. Liu concluded.
Effector T Cells Abrogate Stroma-Mediated Chemoresistance in Ovarian Cancer
•Fibroblasts diminish platinum content in cancer cells, resulting in drug resistance
•GSH and cysteine released by fibroblasts contribute to platinum resistance
•T cells alter fibroblast GSH and cystine metabolism and abolish the resistance
•Fibroblasts and CD8+ T cells associate with patient chemotherapy response
Summary
Effector T cells and fibroblasts are major components in the tumor microenvironment. The means through which these cellular interactions affect chemoresistance is unclear. Here, we show that fibroblasts diminish nuclear accumulation of platinum in ovarian cancer cells, resulting in resistance to platinum-based chemotherapy. We demonstrate that glutathione and cysteine released by fibroblasts contribute to this resistance. CD8+ T cells abolish the resistance by altering glutathione and cystine metabolism in fibroblasts. CD8+ T-cell-derived interferon (IFN)γ controls fibroblast glutathione and cysteine through upregulation of gamma-glutamyltransferases and transcriptional repression of system xc− cystine and glutamate antiporter via the JAK/STAT1 pathway. The presence of stromal fibroblasts and CD8+ T cells is negatively and positively associated with ovarian cancer patient survival, respectively. Thus, our work uncovers a mode of action for effector T cells: they abrogate stromal-mediated chemoresistance. Capitalizing upon the interplay between chemotherapy and immunotherapy holds high potential for cancer treatment.
Activation of effect or T cells leads to increased glucose uptake, glycolysis, and lipid synthesis to support growth and proliferation. Activated T cells were identified with CD7, CD5, CD3, CD2, CD4, CD8 and CD45RO. Simultaneously, the expression of CD95 and its ligand causes apoptotic cells death by paracrine or autocrine mechanism, and during inflammation, IL1-β and interferon-1α.. The receptor glucose, Glut 1, is expressed at a low level in naive T cells, and rapidly induced by Myc following T cell receptor (TCR) activation. Glut1 trafficking is also highly regulated, with Glut1 protein remaining in intracellular vesicles until T cell activation. CD28 co-stimulation further activates the PI3K/Akt/mTOR pathway in particular, and provides a signal for Glut1 expression and cell surface localization. Mechanisms that control T cell metabolic reprogramming are now coming to light, and many of the same oncogenes importance in cancer metabolism are also crucial to drive T cell metabolic transformations, most notably Myc, hypoxia inducible factor (HIF)1a, estrogen-related receptor (ERR) a, and the mTOR pathway. The proto-oncogenic transcription factor, Myc, is known to promote transcription of genes for the cell cycle, as well as aerobic glycolysis and glutamine metabolism. Recently, Myc has been shown to play an essential role in inducing the expression of glycolytic and glutamine metabolism genes in the initial hours of T cell activation. In a similar fashion, the transcription factor (HIF)1a can up-regulate glycolytic genes to allow cancer cells to survive under hypoxic conditions
UPDATE 6/11/2021
Bispecific Antibodies Emerging as Effective Cancer Therapeutics
Science 28 May 2021: Vol. 372, Issue 6545, pp. 916-917 DOI: 10.1126/science.abg1209
Bispecific antibodies (bsAbs) bind two different epitopes on the same or different antigens. Through this dual specificity for soluble or cell-surface antigens, bsAbs exert activities beyond those of natural antibodies, offering numerous opportunities for therapeutic applications. Although initially developed for retargeting T cells to tumors, with a first bsAb approved in 2009 (catumaxomab, withdrawn in 2017), exploring new modes of action opened the door to many additional applications beyond those of simply combining the activity of two different antibodies within one molecule. Examples include agonistic “assembly activities” that mimic the activity of natural ligands and cofactors (for example, factor VIII replacement in hemophilia A), inactivation of receptors or ligands, and delivery of payloads to cells or tissues or across biological barriers. Over the past years, the bsAb field transformed from early research to clinical applications and drugs. New developments offer a glimpse into the future promise of this exciting and rapidly progressing field.
Monoclonal antibodies (mAbs) comprise antigen-binding sites formed by the variable domains of the heavy and light chain and an Fc region that mediates immune responses. BsAbs, produced through genetic engineering, combine the antigen-binding sites of two different antibodies within one molecule, with a plethora of formats available (1). Conceptually, one can discriminate between bsAbs with combinatorial modes of action where the antigen-binding sites act independently from each other, and bsAbs with obligate modes of action where activity needs binding of both, either in a sequential (temporal) way or dependent on the physical (spatial) linkage of both (see the figure) (2). BsAbs approved as drugs are so far in the obligate dual-binding category: A T cell recruiter (blinatumomab) against cancer and a factor VIIIa mimetic to treat hemophilia A (emicizumab). Most but not all of the more than 100 bsAbs in clinical development address cancers. Some are in late stage (such as amivantamab, epcoritamab, faricimab, and KNO46), but most are still in early stages (2). Most of these entities enable effector cell retargeting to induce target cell destruction.
An increasing number of programs also explore alternative modes of action. This includes bsAbs that target pathways involved in tumor proliferation (such as amivantamab), invasion, ocular angiogenesis (such as faricimab), or immune regulation by blocking receptors and/or ligands, mainly in a combinatorial manner. Challenges for all of these entities are potential adverse effects, toxicity in normal tissues, and overshooting and systemic immune responses, especially with T cell retargeting or immune-modulating or activating entities. Such issues need to be carefully addressed.
Most of the bispecific T cell engagers comprise a binding site for a tumor-associated antigen and CD3 [a component of the T cell receptor (TCR) activation complex] as trigger molecule on T cells. To prevent or ameliorate “on-target, off-tumor” effects of T cell recruiters, approaches currently investigated include the modulation of target affinities and mechanisms to allow conditional activation upon target cell binding. Thus, a reduced affinity for CD3 increased tolerability by reducing peripheral cytokine concentrations that are associated with nonspecific or overshooting immune reactions (3). Similarly, reduced affinity for the target antigen was shown to ameliorate cytokine release and damage of target-expressing tissues (4). Tumor selectivity can be further increased by implementing avidity effects—for example, by using 2+1 bsAb formats with two low-affinity binding sites for target antigens and monovalent binding to CD3 (4).
In further approaches, binders to CD3 were identified that efficiently trigger target cell destruction without inducing undesired release of cytokines, demonstrating the importance of epitope specificity to potentially uncouple efficacy from cytokine release (5). Complementing these T cell–recruiting principles, the nonclassical T cell subset of γ9d2 T cells with strong cytotoxic activity emerged as potent effectors, which can be retargeted with bsAbs binding to the γ9d2 TCR. Thereby, global activation of all T cells, including inhibitory regulatory T cells (Treg cells), through CD3 binding, may be avoided (6). However, even these approaches might result in a narrow therapeutic window to treat solid tumors because of T cell activation in normal tissues.
Consequently, there are several approaches to conditionally activate T cells within tumors, including a local liberation of the CD3-binding sites or triggering local assembly of CD3-binding sites from two half-molecules. For example, CD3-binding sites have been masked by fusing antigen binding or blocking moieties—such as peptides, aptamers, or anti-idiotypic antibody fragments—to one or both variable domains. These moieties are released within the tumor by tumor-associated proteases, or through biochemical responses to hypoxia or low pH (7). This approach can also be applied to confer specific binding of antibody therapeutics, including bsAbs, to antigens on tumor cells (8).
An on-target restoration of CD3-binding sites requires application of two target-binding entities, each comprising parts of the CD3-binding site, which assemble into functional binding sites upon close binding of both half-antibodies. The feasibility of this approach was recently shown, for example, for a split T cell–engaging antibody derivative (Hemibody) that targets a cell surface antigen (9). Such approaches can also be applied to half-antibodies that recognize two different targets expressed on the same cell, further increasing tumor selectivity.
Regarding T cell engagers, increasing efforts are made to target not only cell-surface antigens expressed on tumor cells but also human leukocyte antigen (HLA)–presented tumor-specific peptides. This expands the target space of bsAbs toward tumor-specific intracellular antigens and can be achieved by using either recombinant TCRs or antibodies with TCR-like specificities combined with, for example, CD3-binding arms to engage T cell responses. A first TCR–anti-CD3 bispecific molecule is in phase I and II trials to treat metastatic melanoma (10). A challenge of this approach is the identification of TCRs or TCR-like antibodies that bind the peptide in the context of HLA with high affinity and specificity, without cross-reacting with related peptides to reduce or avoid off-target activities. Comprehensive screening tools and implementation of computational approaches are being developed to achieve this task.
A rapidly growing area of bsAbs in cancer therapy is their use to foster antitumor immune responses. Here, they are especially applied for dual inhibition of checkpoints that prevent immune responses—for example, programmed cell death protein 1 (PD-1) and its ligand (PD-L1), cytotoxic T lymphocyte–associated antigen 4 (CTLA-4), or lymphocyte activation gene 3 (LAG-3; for example, KNO46). Tumor-targeted bsAbs can also target costimulatory factors such as CD28 or 4-1BB ligand (4-1BBL) to enhance T cell responses when combined with PD-1 blockade or to provide an activity-enhancing costimulatory signal in combination with CD3-based bsAbs (11). Furthermore, bsAbs are being developed for local effects by targeting one arm to antigens that are expressed by tumor cells or cells of the tumor microenvironment (2).
Clinical application of bsAbs now expands to other therapeutic areas, including chronic inflammatory, autoimmune, and neurodegenerative diseases; vascular, ocular, and hematologic disorders; and infections. In contrast to mAbs, bsAbs can inactivate the signaling of different cytokines with one molecule to treat inflammatory diseases (12). Simultaneous dual-target binding is not essential to elicit activity for bsAbs against combinations of proinflammatory cytokines, such as tumor necrosis factor (TNF), interleukin-1α (IL-1α), IL-1β, IL-4, IL-13, IL-17, inducible T cell costimulator ligand (ICOSL), or B cell–activating factor (BAFF). This presumably also applies to blockade of immune cell receptors, although dual targeting might confer increased efficacy due to avidity effects and increased selectivity through simultaneous binding of two different receptors.
A further application of combinatorial dual targeting is in ophthalmology. Loss of vision in wet age-related macular degeneration (AMD) results from abnormal proliferation and leakiness of blood vessels in the macula. This can be treated with antibodies that bind and inactivate factors that stimulate their proliferation (13). In contrast to mAbs or fragments that recognize individual factors, bsAbs bind two such factors. For example, faricimab that binds vascular endothelial growth factor A (VEGF-A) and angiopoietin-2 (ANG2), demonstrated dual efficacy in preclinical studies, and is currently in phase 3 trials.
BsAbs with obligate modes of action that mandate simultaneous dual-target binding are “assemblers” that replace the function of factors necessary to form functional protein complexes. One of these bsAbs with an assembly role (emicizumab, approved in 2018) replaces factor VIIIa in the clotting cascade. Deficiency of factor VIII causes hemophilia A, which can be overcome by substitution with recombinant factor VIII. However, a proportion of patients develop factor VIII–neutralizing immune responses and no longer respond to therapy. To overcome this, a bsAb was developed with binding sites that recognize and physically connect factors IXa and X, a process normally mediated by factor VIIIa. Extensive screening of a large set of bsAbs was required to identify those that combine suitable epitopes with optimized affinities and geometry to serve as functional factor VIIIa mimetics (14). This exemplifies the complexity of identifying the best bsAb for therapeutic applications.
A mode of action requiring sequential binding of two targets is the transport of bsAbs across the blood-brain barrier (BBB). This is a tight barrier of brain capillary endothelial cells that controls the transport of substances between the blood and the cerebrospinal fluid—the brain parenchyma. Passage of large molecules, including antibodies, across the BBB is thereby restricted. Some proteins, such as transferrin or insulin, pass through the BBB by way of transporters on endothelial cells. Antibodies that bind these shuttle molecules, such as the transferrin receptor (TfR), can hitchhike across the BBB. BsAbs that recognize brain targets (such as β-amyloid for Alzheimer’s disease) and TfR with optimized affinities, epitopes, and formats can thereby enter the brain. Such bsAbs are currently in clinical evaluation to treat neurodegenerative diseases (15).
In the past years, there has been a transition from a technology-driven phase, solving hurdles to generate bsAbs with defined composition, toward exploring and extending the modes of action for new therapeutic options. The challenge of generating bsAbs is not only to identify suitable antigen pairs to be targeted in a combined manner. It is now recognized that the molecular composition has a profound impact on bsAb functionality (13). That more than 30 different bsAb formats are in clinical trials proves that development is now driven by a “fit for purpose” or “format defines function” rationale. Many candidates differ in their composition, affecting valency, geometry, flexibility, size, and half-life (1). Not all members of this “zoo of bsAb formats” qualify to become drugs. Strong emphasis is therefore on identifying candidates that exhibit drug-like properties and fulfill safety, developability, and manufacturability criteria. There is likely to be an exciting new wave of bsAb therapeutics available in the coming years.