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Archive for the ‘Immunology’ Category


NEW Book #InfectiousDiseases #Immunology #StressSignaling #Therapeutics check https://www.amazon.com/dp/B075CXHY1B

Editor-in-Chief: Aviva Lev-Ari, PhD, RN

 

 

Includes FDA Approved Drugs for Infections and Infectious Diseases: Bacterial Infection, Viral Infection, Fungal Infection, Allergy-related Infections and Other, 1995 – 2016

VOLUME 2: covers the frontier of research on Infectious Diseases and the Human Immune System. The Immune Response, Disease Specific Immune Response, Immunodiagnostics and Immunotherapy, Immunotherapy and Autoimmunity,
Bacterial Infections, Bacteria Types, Antibactirial Therapeutics, FDA Approved Drugs for Infections and Infectious Diseases: Bacterial Infection, 1995 – 2016. Viral Infection: Virus Types, Antiviral Therapeutics, and FDA Approved Drugs for Infections and Infectious Diseases: Viral Infection, Fungal Infections, Allergy-related Infections, Other Infections,1995 – 2016,

VOLUME 3: covers the state of Science on the Historical Perspective of Immunology, Development of the Immune System, Signaling and Immunology, Cellular Immunity, Immunology and Inflammatory Response. Antibody-based Immunity, Vaccines and Microbiome, Immuno-Pharmaceutics, Cancer Immunotherapy, Immunomodulation and Neuro-Immunology.

Volume 2: Summary
The material that has been covered is a considerable material on the basic types of infections – bacterial, viral, and fungal, and diseases related to immune mechanisms. There has been a substantial coverage of the drugs and the manufacturers. This material brings to the discussion an international problem of drug resistance that applies much to bacteria, and a considerable amount of material on advances in drug development that takes into consideration protein structure and protein-protein interactions. The coverage of virus diseases brings to the forefront vaccines. However, in such cases as the influenza virus, a rapid genetic change of the virus makes the use of vaccines an issue for continuing revision.

Volume 3: Summary
The second volume is only concerned with the pathobiology of the inflammatory response, including sepsis, and it does not leave out hematopoiesis, and it lays out the difference between the B-clles and the T-cells that are related to the Toll receptor. Here we have looked closely at two immune disorders, Inflammatory Bowel Disease (Crohn’s Disease) and Rheumatoid Arthritis. Here we have discussed immunomodulation and signaling of the pathways involved, and the programmed cell death response. We have also covered the relationship of the immune response to autoimmune disorders and to cancer. The treatment of cancer now heavily leans toward the blocking of destructive processes in the immunomodulatory pathways.

Epilogue – Volume 2
Volume 2 has covered the most common bacterial and viral diseases that we find widely, or sporadically. It detailed the development of sepsis, and the immune response factor. The immune response involves local cellular invasion of lymphocytes related to initiation of T-cells and macrophages, and also the proteomic generated B-cell antibodies. These reactions are both local and systemic, as bacterial invasion is local and usually related to the tissue of residence (large intestine, oral, lung, genital). In the case of virus, the site of entry is often respiratory or by food intake, but these agents may rapidly become systemic. The other matter of the immune response is autoimmune, a reaction against the self. It is not entirely clear how this is initiated, but it has been related to failure to develop immunity in the prenatal or postnatal period. The only other possibility that might be considered would be by the mechanism of cell remodeling by an apoptotic related mechanism. The other chapters deal with therapeutics.

Epilogue – Volume 3
These two volumes have traversed a large knowledge-base. The first was directed largely at the well known bacterial, virus, fungal diseases, as well as autoimmunity. It specified recent FDA approved recommendations of pharmaceutics for these conditions. It also gives some attention to the immune response in inflammatory and autoimmune diseases, but not cancer. The second volume gives a concise history of development of Leukemias, Lymphomas pathology.

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Image Source:Koch Institute

LIVE – OCTOBER 17 – DAY 2- Koch Institute Immune Engineering Symposium 2017, MIT, Kresge Auditorium

Koch Institute Immune Engineering Symposium 2017

http://kochinstituteevents.cvent.com/events/koch-institute-immune-engineering-symposium-2017/agenda-64e5d3f55b964ff2a0643bd320b8e60d.aspx

Image Source: Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Aviva Lev-Ari, PhD, RN will be in attendance covering the event in REAL TIME

@pharma_BI

@AVIVA1950

#IESYMPOSIUM

@KOCHINSTITUTE

  • The Immune System, Stress Signaling, Infectious Diseases and Therapeutic Implications: VOLUME 2: Infectious Diseases and Therapeutics and VOLUME 3: The Immune System and Therapeutics (Series D: BioMedicine & Immunology) Kindle Edition – on Amazon.com since September 4, 2017

https://www.amazon.com/dp/B075CXHY1B

SYMPOSIUM SCHEDULE

OCTOBER 17 – DAY 2

8:30 – 9:45 Session V
Moderator: Stefani Spranger | MIT, Koch Institute

K. Christopher Garcia – Stanford University
Exploiting T Cell and Cytokine Receptor Structure and Mechanism to Develop New Immunotherapeutic Strategies

  • T Cell Receptor, peptide-MHC, 10 to the power of 10 is combinatorics – Library for selection to determine enrichment possibilities
  • Ligand identification for orphan TCRs
  1. Industrializing process
  2. use pMHC
  • IL-2 – Receptor Signaling Complex
  • Effector cells (NK, T)
  • Engineered  T Cell – Tunable expansion, ligand-Receptor interface
  • Randomize IL-2RBeta interface: Orthogonal receptor vs wild type
  • In Vivo adoptive transfer model: to quantify orthogonality ratio
  • CD4, CD8, Treg,C57BL/6J
  • Ligand discovery
  • Orthogonal IL-2

Stefani Spranger – MIT, Koch Institute
Batf3-DC as Mediators of the T Cell-Inflamed Tumor Microenvironment

  • Melanoma – solid cancer and other types, Immune inhibitory regulatory pathway patient with Immune response present
  • T cell-inflamed Tumor vs Non-T cell-inflamed Tumor
  • identify oncogenic pathways differentially activated between T cell-inflamed and non-Tcell-inflamed infiltration
  • If on Tumor:
  1. Braf/PTEN
  2. Braf/CAT
  3. Braf/PTEN/CAT
  • The role of T cell priming – lack of initial
  • Beta-catenin-expressing tumors fail to prime 2C TCR-transgenic T cells
  • Deficiency in number of CD8+ and CD103+ dendritic cells
  • CD103+ DC are essential for T cell Priming and T cell-inflammation #StefaniSpranger
  • Adoptive transfer of effector 2C T cells fails to control Beta-catenin+ tumors
  • Vaccination induced anti-gen specific T cell memory fails to control Beta-catenin+ tumors
  • What cell type in tumor microenvironment effect monilization of T cell
  • CD103+ Dendritic cellsare source chymokine
  • Recruitment of effector T cells: Reconstitution od Beta-catenin-expressing SIY+
  • Are Batf3-DC within the tumor required for the recruitment of effector T cells?
  • Tumor-residing Batf3-drive CD103+ DC are required for the recruitment of effector T cells
  • Gene spore for correlation with recturment of effector cells
  • T cell Priming – CD103+ DC are essential for effector T cells

George Georgiou – University of Texas at Austin
The Human Circulating Antibody Repertoire in Infection, Vaccination or Cancer

  • Serological Antibody Repertoire: in blood or in secretions
  • Antibody in serum – is difficult sequence identity
  • Serum IgG – 7-17 mg/ml if less immune deficient if more hyper globular
  • antibodies produced in long lived plasma cells in the bone marrow — experimentally inaccessible
  • Discovery of antibodies from the serological repertoire – not B cells
  • BM-PCs
  • Serum antibodies function via Fc effector mechanism – complement activation
  • Ig-SEQ – BCR-SEQ
  • Repertoire-wide computational modelling of antibody structures
  • En masse analysis & Mining of the Human Native Antibody Repertoire
  • hypervariable – High-Throughput Single B Cell VH:VL (or TCRalpha, beta) sequencing
  • EBOV Vaccinee Peak ASCs (day 8) mining: Neutralization
  • Features of the Serum Antibody Repertoire to Vaccine ANtigens:The Serum IgG Repertoire is Highly Polarized
  • Each bar represents a distinct antibody lineage
  • Serum IgG Repertoire becomes increasingly polarized with AGE >50 – may be predictive of tumor development process
  • Human Norovirus – explosive Diarreha, chromically infected – HuNoV BNAb Discovery – Takeda 214 bivalent Vaccine – Binding antibodies binding to avccine antigen VLP
  • HuNoV causes 800 death in the US per year of immune deficient
  • Influenza Trivalent Vaccine: Antibodies to hemaggiutinin: H1, H3, and B COmponenet
  • Abundant H1 +H3 Serum IgGs do not neutralize but confer Protection toInfluenza challenge with Live Virus #GeorgeGeorgiou
  • Non-Neutralizing Antibodies: The role of Complement in Protection

9:45 – 10:15 Break

10:15 – 11:30 Session VI
Moderator: K. Dane Wittrup | MIT, Koch Institute

Harvey Lodish – Whitehead Institute and Koch Institute
Engineered Erythrocytes Covalently Linked to Antigenic Peptides Can Protect Against Autoimmune Disease

  • Modified Red blood cells are microparticles for introducing therapeutics & diagnostics into the human body
  • Bool transfusion is widely used therapeutics
  • Covalently linking unique functional modalities to mouse or human red cells produced in cell culture:
  • PRODUCTION OF HUMAN RED BLOD CELLS EXPRESSING A FOREIN PROTEIN: CD34+ stem/progenitor cells that generates normal enucleated RBC.
  • PPAR-alpha and glucocorticoticoid receptor
  • Norman morphology: Sortase A is a bactrial transpeptidase that covalently links a “donor”
  • Engineering Normal Human RBC biotin-LPETG
  • Covelantely – Glycophorin A with camelid VHHs specific for Botulinum toxin A or B
  • Generation of immuno tolerance: SOruggable Mature RBCs: CRISPR mice expressing Kell-LPETG
  • Ovalbumin as Model Antigens:
  1. OBI B,
  2. OTI CD8 T cells
  3. OTII CD4 T cells
  4. OT-1
  5. OT-2
  • RBC induced peptides challenged and experiences apoptosis
  • Type I Diabetes in NOD mice
  • RBCs bearing InsB9-23 – prevented development of diabetes

Multiple sclerosis

  • MOG – Myelin Oligodend

Sai Reddy – ETH Zurich
Molecular Convergence Patterns in Antibody Responses Predict Antigen Exposure

  • Clonal diversity – estimating the size of antibody repertoire: 10 to power of 18 or 10 to 13
  • Clonal selection in antibody repertoire
  • Convergent selection in antibody repertoire
  • Convergent selection in TCR repertoire complex have restriction with MCH interactions
  • How molecular abundance of convergence predicts antigen exposure identify antigen-associated clusters #SaiReddy
  • molecular convergence 0 gene expression analysis, immunization scheme molecular bar coding to correct errors
  • Recoding antibody repertoire sequence space: Cross correlation reveals different clusters
  • Building a classifier model based on cluster frequency: Clones from immunized mice
  • epitope specificity is driving antibody repertoire response
  • deep learning,

K. Dane Wittrup – MIT, Koch Institute
Temporal Programming of Synergistic Innate and Adaptive Immunotherapy

  • Innate effector functions of anti-tumor antibodies
  • Innate & adaptive Immunotherapy
  • Innate mAb –>> tumor cell; adaptive CD8+ T cells
  • Chemokines Antigens
  • Cytokines Chemokines – back and forth innate Adaptive –> <— neutrophils impact
  • AIPV vaccine:
  • How anti-TAA mAbs helping T cell Immune response
  • Anti-TAA mAbs drive vaccinal T cell responses: NK cells
  • antibody drives T cells responses: alpha-TAA mAbs potentiate T cell therapies: ACT +MSA-IL-2 vs alphaPD-1 + vaccine
  • CD8+ T cells required for alpha TAA mAb efficacy- In absence of T cells Treatment does not work
  • Anti-TAA mAb +Fc/IL-2 induces intramural cytokine storm #KDaneWittrup
  • How to simplify and improve AIPV? Hypothesis: ALign dose schedule
  • Immune response to infection follwos a temporal progression: Innate … Adaptive
  • Antigenic material kill cells: Chemo, cell death Antigen presentation, T cell priming, T cell recirculation, Lymphocyte tumor infiltrate, TCR
  • IFN alpha 2 dys after mAb +Il-2: Curative: days post tumor injection
  • Necessary components: CD8+ T cells & DC, Macrophages,
  • Optimal IFNalpha coincides with max innate response vs Mature DCs after antigen loading #KDaneWittrup
  • Optimal timing od agent administration effect on Therapy Outcome: IL-2, IFNalpha, TAAmAb
  • Cytkine timing can be better than protein engineering #KDaneWittrup

11:30 – 1:00 Lunch Break

1:00 – 2:15 Session VII
Moderator: Michael Birnbaum | MIT, Koch Institute

Kai Wucherpfennig – Dana-Farber Cancer Institute
Discovery of Novel Targets for Cancer Immunotherapy

  • POSITIVE STRESS SIGNAL during malignant Transformation
  • NKG2G=D Receptor: MICA/B Results in Immune escape – Proteolytic cleavage  shedding of MICA/B present in serum, indication of tumor progression
  • Shed MICA vs Surface MICA/B – restore NK cell cytotoxicity and IFNgamma Production
  • Human NK cells express NKG2D and Fc Receptors
  • Synergistic NKG2D and CD16 signaling enhances NK cell cytootxicity: Control IgG vs Anti NKG2D
  • MICA Antibody induces Immunity Against Lung Metastases
  • NK cells are required to inhibit Growth of metastases: Anti-CD8beta,
  • Contribution to Therapeutic Efficacy: NKG2D and CD16 Receptors #KaiWucherpfennig
  • Strategy to analyze Pulmonary NK cells: Activation and expression
  • Single cell RNA-seq of lung NK cells Revealed higher infiltration of activated NK cells: Isotype vs 7C6-migG2a
  • Cytokines and Chemokines produce NK cells
  • MICA/B increaces NK
  •  Induction of Tumor cell Apoptosis
  • Xenotransplant Model with Human Melanoma Cel Line A2058
  • Lung metastasis, liver metastasis
  • Inhibition of human melanoma Metastases in NSG Mice Reconstitute with Human NK
  • Liver metastases are controlled by Myeloid Cells that include Kupffer cells

Michael Birnbaum – MIT, Koch Institute
An Unbiased Determination of pMHC Repertoires for Better Antigen Prediction

  • Vaccines TCR gene therapy adoptive T cel therapy
  • Tumor genone – Tumor pMHC repertoire = Tumor TCR repertoire T cell repertoire
  • Neoantigen vaccines as a personalized anti-cancer therapy
  • Tumor procurement – Target selection – personal vaccine production – vaccine administration
  • Prediction of neoantigen-MHC Binding due to polimorphism affecting recognition, rare in MHC Allells #Michael Birnbaum
  • Antigenicity – Chaperones HLA-DM sculp the peptide binding repertoire of MHC
  • Identification of loaded peptide ligands: pMHC mass spectroscopy of tissue
  • TCR recognition, pMHC yeast display: Cleave peptide-MHC linker, catalyze peptide exchange
  • HLA-DR4 library design and selection to enrich HLA-DM: Amino Acid vs Peptide position: Depleted vs Enriched – relative to expected for NNK codon
  •  6852 _ predicted to bind vs 220 Non-binding peptides
  • HLA polymorphism: repertoire differences caused by
  • Antigen – T cell-driven antigen discovery: engaging Innate and Adaptive Immune response
  • Sorting TIL and select: FOcus of T cell-driven antigen discovery
  • T cell-driven antigen discovery: TCR

Jennifer R. Cochran – Stanford University
Innate and Adaptive Integrin-targeted Combination Immunotherapy

  • alpa-TAA
  • Targeting Integrin = universal target involved in binding to several receptors: brest, lung, pancreatic, brain tumors arising by mutations – used as a handle for binding to agents
  • NOD201 Peptide-Fc Fusion: A Psudo Ab
  • Handle the therapeutics: NOD201 + alphaPD1
  • NOD201 effectively combines with alphaPD-L1, alphaCTLA-4, and alpha4-1BB/CD137
  • Corresponding monotherapies vs ComboTherapy invoking Innate and Adaptive Immune System
  • Microphages, CD8+ are critical vs CD4+ Neutrophils, NK cells, B cells #JenniferR. Cochran
  • Macrophages activation is critical – Day 4, 4 and 5
  • NOD201 + alphaPD1 combo increases M1 macrophages
  • Who are the best responders to PD1 – genes that are differentially expressed
  • NOD201 deives T cells reaponses through a “vaccinal” effect
  • CAncer Immune CYcle
  • Integrin – localization
  • Prelim NOD201 toxicity studies: no significant effects
  • Targeting multiple integrins vs antibodies RJ9 – minimal effect
  • NOD201 – manufacturability – NEW AGENT in Preclinical stage

2:15 – 2:45 Break

2:45 – 3:35 Session VIII
Moderator: Jianzhu Chen | MIT, Koch Institute

Jennifer Wargo – MD Anderson Cancer Center
Understanding Responses to Cancer Therapy: The Tissue is the Issue, but the Scoop is in the Poop

  • Optimize Targeted Treatment response
  • Translational research in patients on targeted therapy revealed molecular and immune mechanisms of response and resistance
  • Molecular mechanisms – T cell infiltrate after one week of therapy
  • Role of tumor stroma in mediating resistance to targeted therapy
  • Tumor microenvironment
  • Intra-tumoral bacteria identified in patients with Pancreatic Cancer
  • Translational research in patients on immune checkpoint blockade revealed molecualr and immune mechanism of response and resistance
  • Biomarkers not found
  • SYstemic Immunity and environment (temperature) on response to checkpoint blockade – what is the role?
  • Role of mIcrobiome in shaping response to checkpoint blockade in Melanoma
  • Microbime and GI Cancer
  • Diversity of the gut microbiome is associated with differential outcomes in the setting of stem cell transplant in AML
  • Oral and gut fecal microbiome in large cohort patient with metastatic melanoma undergoing systemic therapy
  • Repeat oral & gut AFTER chemo
  • WGSeq – Diversity of microbiome and response (responders vs non-responders to anti PD-1 – High diversity of microbiome have prolonged survival to PD-1 blockade
  • Anti tumor Immunity and composition of gut microbiome in patient on anti-PD-1 favorable AND higher survival #JenniferWargo
  • Enhance therapeutic responses in lang and renal carcinoma: If on antibiotic – poorer survival
  • sharing data important across institutions

Jianzhu Chen – MIT, Koch Institute
Modulating Macrophages in Cancer Immunotherapy

  • Humanized mouth vs de novo human cancer
  • B cell hyperplasia
  • double hit lymphoma
  • AML
  • Overexpression of Bcl-2 & Myc in B cells leads to double-hit lymphoma
  • antiCD52 – CLL
  • Spleen, Bone marrow, Brain
  • Microphages are required to kill Ab-bound lymphoma cells in vivo #JianzhuChen
  • COmbinatorial chemo-Immunotherapy works for solid tumors: treating breast cancer in humanized mice
  • Infiltration of monocytic cells in the bone marrow
  • Cyclophosphophamide-antibody synergy extending to solid tumor and different antibodies #JianzhuChen
  • Polarization of macrophages it is dosage-dependent M1 and M2
  • Antibiotic induces expression of M1 polarizing supresses development and function of tumor-associated macrophages (TAM)
  • Antibiotic inhibits melanoma growth by activating macrophages in vivo #JianzhuChen

 

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Image Source:Koch Institute

 

LIVE – OCTOBER 16 – DAY 1- Koch Institute Immune Engineering Symposium 2017, MIT, Kresge Auditorium

Koch Institute Immune Engineering Symposium 2017

http://kochinstituteevents.cvent.com/events/koch-institute-immune-engineering-symposium-2017/agenda-64e5d3f55b964ff2a0643bd320b8e60d.aspx

 

#IESYMPOSIUM

 

Image Source: Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Aviva Lev-Ari, PhD, RN will be in attendance covering the event in REAL TIME

@pharma_BI

@AVIVA1950

#IESYMPOSIUM

@KOCHINSTITUTE

  • The Immune System, Stress Signaling, Infectious Diseases and Therapeutic Implications: VOLUME 2: Infectious Diseases and Therapeutics and VOLUME 3: The Immune System and Therapeutics (Series D: BioMedicine & Immunology) Kindle Edition – on Amazon.com since September 4, 2017

https://www.amazon.com/dp/B075CXHY1B

SYMPOSIUM SCHEDULE

OCTOBER 16 – DAY 1

7:00 – 8:15 Registration

8:15 – 8:30Introductory Remarks
Darrell Irvine | MIT, Koch Institute; HHMI

  • Stimulating the Immune system not only sustaining it for therapies

K. Dane Wittrup | MIT, Koch Institute

8:30 – 9:45Session I
Moderator: Douglas Lauffenburger | MIT, Biological Engineering and Koch Institute

Garry P. Nolan – Stanford University School of Medicine
Pathology from the Molecular Scale on Up

  • Intracellular molecules,
  • how molecules are organized to create tissue
  • Meaning from data Heterogeneity is an illusion: Order in Data ?? Cancer is heterogeneous, Cells in suspension – number of molecules
  • System-wide changes during Immune Response (IR)
  • Untreated, Ineffective therapy, effective therapy
  • Days 3-8 Tumor, Lymph node…
  • Variation is a Feature – not a bug: Effective therapy vs Ineffective – intercellular modules – virtual neighborhoods
  • ordered by connectivity: very high – CD4 T-cells, CD8 T-cels, moderate, not connected
  • Landmark nodes, Increase in responders
  • CODEX: Multiples epitome detection
  • Adaptable to proteins & mRNA
  • Rendering antibody staining via removal to neighborhood mapping
  • Human tonsil – 42 parameters: CD7, CD45, CD86,
  • Automated Annotations of tissues: F, P, V,
  • Normal BALBs
  • Marker expression defined by the niche: B220 vs CD79
  • Marker expression defines the niche
  • Learn neighborhoods and Trees
  • Improving Tissue Classification and staining – Ce3D – Tissue and Immune Cells in 3D
  • Molecular level cancer imaging
  • Proteomic Profiles: multi slice combine
  • Theory is formed to explain 3D nuclear images of cells – Composite Ion Image, DNA replication
  • Replication loci visualization on DNA backbone – nascent transcriptome – bar code of isotopes – 3D  600 slices
  • use CRISPR Cas9 for Epigenetics

Susan Napier Thomas – Georgia Institute of Technology
Transport Barriers in the Tumor Microenvironment: Drug Carrier Design for Therapeutic Delivery to Sentinel Lymph Nodes

  • Lymph Nodes important therapeutics target tissue
  • Lymphatic flow support passive and active antigen transport to lymph nodes
  • clearance of biomolecules and drug formulations: Interstitial transport barriers influence clearance: Arteriole to Venule –
  • Molecular tracers to analyze in vivo clearance mechanisms and vascular transport function
  • quantifying molecular clearance and biodistribution
  • Lymphatic transport increases tracer concentrations within dLN by orders of magnitude
  • Melanoma growth results in remodeled tumor vasculature
  • passive transport via lymphatic to dLN sustained in advanced tumors despite abrogated cell trafficking
  • Engineered biomaterial drug carriers to enhance sentinel lymph node-drug delivery: facilitated by exploiting lymphatic transport
  • TLR9 ligand therapeutic tumor in situ vaccination – Lymphatic-draining CpG-NP enhanced
  • Sturcutral and Cellular barriers: transport of particles is restriced by
  • Current drug delivery technology: lymph-node are undrugable
  • Multistage delivery platform to overcome barriers to lymphatic uptake and LN targeting
  • nano particles – OND – Oxanorbornade OND Time sensitive Linker synthesized large cargo – NP improve payload
  • OND release rate from nanoparticles changes retention in lymph nodes – Axilliary-Brachial delivery
  • Two-stage OND-NP delivery and release system dramatically – OND acumulate in lymphocyte
  •  delivers payload to previously undraggable lymphe tissue
  • improved drug bioactivity  – OND-NP eliminate LN LYMPHOMAS
  • Engineered Biomaterials

Douglas Lauffenburger – MIT, Biological Engineering and Koch Institute
Integrative Multi-Omic Analysis of Tissue Microenvironment in Inflammatory Pathophysiology

  • How to intervene, in predictive manner, in immunesystem-associated complex diseases
  • Understand cell communication beteen immune cells and other cells, i.e., tumor cells
  • Multi-Variate in Vivo – System Approach: Integrative Experiment & COmputational Analysis
  • Cell COmmunication & Signaling in CHronic inflammation – T-cell transfer model for colitis
  • COmparison of diffrential Regulation (Tcell transfer-elicited vs control) anong data types – relying solely on mRNA can be misleading
  • Diparities in differential responses to T cell transfer across data types yield insights concerning broader multi-organ interactions
  • T cell transfer can be ascertained and validated by successful experimental test
  • Cell COmmunication in Tumor MIcro-Environment — integration of single-cell transcriptomic data and protein interaction
  • Standard Cluster Elucidation – Classification of cell population on Full gene expression Profiles using Training sets: Decision Tree for Cell Classification
  • Wuantification of Pairwise Cell-Cell Receptor/Ligand Interactions: Cell type Pairs vs Receptor/Ligand Interaction
  • Pairwise Cell-Cell Receptor/Ligand Interactions
  • Calculate strength of interaction and its statistical significance
  • How the interaction is related to Phenotypic Behaviors – tumor growth rate, MDSC levels,
  • Correlated the Interactions translated to Phynotypic behavior for Therapeutic interventions (AXL via macrophage and fibroblasts)
  • Mouth model translation to Humans – New machine learning approach
  • Pathways, false negative, tumor negative expression
  • Molecular vs Phynotypical expression
  • Categories of inter-species translation
  • Semi-supervised Learning ALgorithms on Transcriptomic Data can ascertain Key Pathways/Processes in Human IBD from mapping mouse IBD

9:45 – 10:15 Break

10:15 – 11:30Session II
Moderator: Tyler Jacks | MIT, Koch Institute; HHMI

Tyler Jacks – MIT, Koch Institute; HHMI
Using Genetically Engineered Mouse Models to Probe Cancer-Immune Interactions

  • Utility of genetically-engineered mouse models of Cancer:
  1. Immune Response (IR),
  2. Tumor0immune microenvironment
  • Lung adenocarcinoma – KRAS mutation: Genetically-engineered model, applications: CRISPR, genetic interactions
  • Minimal Immune response to KP lung tumors: H&E, T cells (CD3), Bcells (B220) for Lenti-x 8 weeks
  • Exosome sequencing : Modeling loss-and gain-of-function mutations in Lung Cancer by CRISPR-Cas9 – germline – tolerance in mice, In vivo CRISPR-induced knockout of Msh2
  • Signatures of MMR deficient
  • Mutation burden and response to Immunotherapy (IT)
  • Programmed neoantigen expression – robust infiltration of T cells (evidence of IR)
  • Immunosuppression – T cell rendered ineffective
  • Lymphoid infiltration: Acute Treg depletion results in T cell infiltration — this depletion causes autoimmune response
  • Lung Treg from KP tumor-bearing mice have a distinct transcriptional heterogeneity through single cell mRNA sequencing
  • KP, FOXP3+, CD4
  • Treg from no existent to existance, Treg cells increase 20 fold =>>>  Treg activation and effectiveness
  • Single cells cluster by tissue and cell type: Treg, CD4+, CD8+, Tetramer-CD4+
  • ILrl1/II-33r unregulated in Treg at late time point
  • Treg-specific deletion of IL-33r results in fewer effector Tregs in Tumor-bearing lungs
  • CD8+ T cell infiltration
  • Tetramer-positive T cells cluster according to time point: All Lung CD8+ T cells
  • IR is not uniform functional differences – Clones show distinct transcriptional profiles
  • Different phynotypes Exhaustive signature
  • CRISPR-mediated modulation of CD8 T cell regulatory genes
  • Genetic dissection of the tumor-immune microenvironment
  • Single cell analysis, CRISPR – CRISPRa,i, – Drug development

Wendell Lim – University of California, San Francisco

Synthetic Immunology: Hacking Immune Cells

  • Precision Cell therapies – engineered by synthetic biology
  • Anti CD19 – drug approved
  • CAR-T cells still face major problems
  1. success limited to B cells cancers = blood vs solid tumors
  2. adverse effects
  3. OFF-TUMOR effects
  • Cell engineering for Cancer Therapy: User remote control (drug) – user control safety
  • Cell Engineering for TX
  1. new sensors – decision making for
  2. tumor recognition – safety,
  3. Cancer is a recognition issue
  • How do we avoid cross-reaction with bystader tissue (OFF TISSUE effect)
  • Tumor recognition: More receptors & integration
  • User Control
  • synthetic NOTCH receptors (different flavors of synNotch) – New Universal platform for cell-to -cell recognition: Target molecule: Extracellular antigen –>> transciptional instruction to cell
  • nextgen T cell: Engineer T cell recognition circuit that integrates multiple inputs: Two receptors – two antigen priming circuit
  • UNARMED: If antigen A THEN receptor A activates CAR
  • “Bystander” cell single antigen vs “tumor” drug antigen
  • Selective clearance of combinatorial tumor – Boulian formulation, canonical response
  • Cell response: Priming –>> Killing: Spatial & Temporal choreographed cell
  • CAR expression while removed from primed cells deminished
  • Solid Tumor: suppress cell microenvironment: Selected response vs non-natural response
  • Immune stimulator IR IL2, IL12, flagellin in the payload — Ourcome: Immune enhancement “vaccination”
  • Immune suppression –  block
  • Envision ideal situation: Unarmed cells
  • FUTURE: identify disease signatures and vulnerabilities – Precision Medicine using Synthetic Biology

Darrell Irvine – MIT, Koch Institute; HHMI
Engineering Enhanced Cancer Vaccines to Drive Combination Immunotherapies

  • Vaccine to drive IT
  • Intervening in the cancer-immunity cycle – Peptide Vaccines
  • poor physiology  of solute transport to tissue
  • endogenous albumin affinity – Lymphe Node dying
  • Designing Albumin-hitchhiking vaccines
  • Amphiphile-vaccine enhance uptake in lymph nodes in small and large animal models
  • soluble vaccine vs Amphiphile-vaccine
  • DIRECTING Vaccines to the Lymph nodes
  • amph-peptide antigen: Prime, booster, tetramer
  • albimin-mediated LN-targeting of both antigen and adjuvant maximizes IR
  • Immuno-supressed microenvironment will not be overcome by vaccines
  • Replacing adoptive T cell transfer with potent vaccine
  • exploiting albumin biology for mucosal vaccine delivery by amph-vaccines
  • Amph-peptides and -adjuvants show enhanced uptake/retention in lung tissue
  •  Enhancing adoptive T cell therapy: loss of T cell functionality, expand in vivo
  • boost in vivo enhanced adoptive T cell therapy
  • CAR-T cells: Enable T cells to target any cell surface protein
  • “Adaptor”-targeting CAR-T cells to deal with tumor cell heterogeneity
  • Lymph node-targeting Amph as CAR T booster vaccine: prining, production of cytokines
  • Boosting CAR T with amph-caccines: anti FITC CAR-T by DSPE=PEG-FITC coated
  • Targeting FITC to lymph node antigen presenting cells
  • Modulatory Macrophages
  • Amph-FITC expands FITC-CAR T cells in vivo – Adjuvant is needed
  • Hijacking albumin’s natural trafficking pathway

11:30 – 1:00  Lunch Break

1:00 – 2:15Session III
Moderator: Darrell Irvine | MIT, Koch Institute; HHMI

Nicholas P. Restifo – National Cancer Institute
Extracellular Potassium Regulates Epigenetics and Efficacy of Anti-Tumor T Cells

Why T cell do not kill Cancer cells?

  • co-inhibition
  • hostile tumor microenvironment

CAR T – does not treat solid tumors

Somatic mutation

  1. resistence of T cell based IT due to loss of function mutations
  2. Can other genes be lost?

CRISPR Cas9 – used to identify agents – GeCKOv2 Human library

Two cell-type (2CT) CRISPR assay system for genome-wide mutagenesis

  • work flow for genome-scale SRISPR mutagenesis profiling of genes essential for T cell mediate cytosis
  • sgRNA enrichment at the individual gene level by multiple methods:
  1. subunits of the MHC Class I complex
  2. CRISPR mutagenesis cut germline
  • Measutring the generalizability of resistance mechanism and mice in vivo validation
  • Validation of top gene candidates using libraries: MART-1
  • Checkpoint blockade: cells LOF causes tumor growth and immune escape
  • Weird genesL Large Ribisomal Subunit Proteins are nor all essential for cell survival
  • Bias in enrichment of 60S vs 40S
  • Novel elements of MHC class I antigen processing and presentation
  • Association of top CRISPR hits with response rates to IT – antiCTLA-4
  • CRISPR help identify novel regulators of T cells
  • Analyzed sgRNA – second rarest sgRNA for gene BIRC2 – encoded the Baculoviral Inhibitor
  • Drugs that inhibit BIRC2
  • How T cells can kill tumor cells more efficiently
  • p38kiaseas target for adoptive immunotherapy
  • FACS-based – Mapk14
  • Potent targets p38 – Blockade PD-1 or p38 ??
  • p38 signaling: Inhibition augments expansion and memory-marked human PBMC and TIL cells, N. P. Restifo
  • Tumor killing capacity of human CD19-specific, gene engineered T cells

Jennifer Elisseeff – Johns Hopkins University
The Adaptive Immune Response to Biomaterials and Tissue Repair

  • design scafolds, tissue-specific microenvironment
  • clinical translation of biosynthetic implants for soft tissue reconstruction
  • Local environment affects biomaterials: Epidermis, dermis
  • CD4+ T cells
  • Immune system – first reponders to materials: Natural or Synthetic
  • Biological (ECM) scaffolds to repair muscle injury
  • Which immune cells enter the WOUND?
  • ECM alters Macrophages: CD86, CD206
  • Adaptive system impact on Macrophages: CD86
  • mTOR signaling pathway M2 depend on Th2 Cells in regeneration of cell healing of surgical wounds
  • Systemic Immunological changes
  • Is the response antigen specific? – IL-4 expression in ILN,
  • Tissue reconstruction Clinical Trial: FDA ask to look at what cells infiltrate the scaffold
  • Trauma/biomaterial response – Injury induction of Senescence, anti apoptosis
  • Injury to skin or muscle
  • Is pro-regenerative environment (Th2/M2) pro-tumorigenic?
  • SYNTHETIC Materials for scafolds
  • Biomaterials and Immunology
  1. Immune response to bioscafolds
  2. environment modulate the immune system
  • Regenerative Immunetherapy

Marcela Maus – Massachusetts General Hospital

Engineering Better T Cells

  • Comparing CD19 CARs for Leukemia – anti-CD19- directed CAR T cells with r/r B-cell ALL – age 3-25 – FDA approved Novartis tisagenlecleucel – for pediatric r/r/ ALL
  • Phase II in diffuse large B cell lymphoma. Using T cells – increases prospects for cure
  • Vector retroviral – 30 day expression
  • measuring cytokines release syndrome: Common toxicity with CAR 19
  • neurological toxicity, B-cell aplagia
  • CART issues with heme malignancies
  1. decrease cytokine release
  2. avoid neurological toxicity – homing
  3. new targets address antigene escape variants – Resistance, CD19 is shaded, another target needed
  4. B Cell Maturation Antigen (BCMA) Target
  5. Bluebird Bio: Response duratio up to 54 weeks – Active dose cohort
  6. natural ligand CAR based on April
  7. activated in response to TACI+ target cells – APRIL-based CARs but not BCMA-CAR is able to kill TACI+ target cells
  • Hurdles for Solid Tumors
  1. Specific antigen targets
  2. tumor heterogeneity
  3. inhibitory microenvironment
  • CART in Glioblastoma
  1. rationale for EGFRvIII as therapeutic target
  2. Preclinical Studies & Phase 1: CAR t engraft, not as highly as CD19
  3. Upregulation of immunosuppression and Treg infiltrate in CART EGFRvIII as therapeutic target, Marcela Maus
  • What to do differently?

 

2:15 – 2:45 Break

2:45 – 4:00 Session IV
Moderator: Arup K. Chakraborty | MIT, IMES

Laura Walker – Adimab, LLC
Molecular Dissection of the Human Antibody Response to Respiratory Syncytial Virus

  • prophylactic antibody is available
  • Barriers for development of Vaccine
  • Prefusion and Postfusion RSV structures
  • Six major antigenic sites on RSV F
  • Blood samples Infants less 6 month of age and over 6 month: High abundance RSV F -specific memory B Cells are group  less 6 month

Arup K. Chakraborty – MIT, Institute for Medical Engineering & Science
How to Hit HIV Where it Hurts

  • antibody  – Model IN SILICO
  • Check affinity of each Ab for the Seaman panel of strain
  • Breadth of coverage
  • immmunize with cocktail of variant antigens
  • Mutations on Affinity Maturation: Molecular dynamics
  • bnAb eveolution: Hypothesis – mutations evolution make the antigen binding region more flexible,
  • Tested hypothesisi: carrying out affinity maturation – LOW GERMLINE AFFINITY TO CONSERVE RESIDUES IN 10,000 trials, acquire the mutation (generation 300)

William Schief – The Scripps Research Institute
HIV Vaccine Design Targeting the Human Naive B Cell Repertoire

  • HIV Envelope Trimer Glycan): the Target of neutralizing Antibodies (bnAbs)
  • Proof of principle for germline-targeting: VRC)!-class bnAbs
  • design of a nanoparticle
  • can germline -targeting innumogens prime low frequency precursors?
  • Day 14 day 42 vaccinate
  • Precursor frequency and affinity are limiting for germline center (GC) entry at day 8
  • Germline-targeting immunogens can elicit robust, high quality SHM under physiological conditions of precursor frequency and affinity at day 8, 16, 36
  • Germline-targeting immunogens can lead to production of memory B cells

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Reporter and Curator: Dr. Sudipta Saha, Ph.D.

 

Scientists at the Stanford University School of Medicine have completed the first-ever characterization of the meticulously timed immune system changes in women that occur during pregnancy. The findings were published in Science Immunology revealed that there is an immune clock of pregnancy and suggest it may help doctors predict preterm birth.

 

The timing of immune system changes follows a precise and predictable pattern in normal pregnancy. Although physicians have long known that the expectant mother’s immune system adjusts to prevent her body from rejecting the fetus, no one had investigated the full scope of these changes, nor asked if their timing was tightly controlled.

 

Nearly 10 percent of U.S. infants are born prematurely, arriving three or more weeks early, but physicians lack a reliable way to predict premature deliveries. Previous research at Stanford and other places suggested that inflammatory immune responses may help in triggering early labor. It suggested that if scientists identify an immune signature of impending preterm birth, they should be able to design a blood test to detect it.

 

The researchers used mass cytometry, a technique developed at Stanford, to simultaneously measure up to 50 properties of each immune cell in the blood samples. They counted the types of immune cells, assessed what signaling pathways were most active in each cell, and determined how the cells reacted to being stimulated with compounds that mimic infection with viruses and bacteria.

 

The researchers developed an algorithm that captures the immunological timeline during pregnancy that both validates previous findings and sheds new light on immune cell interaction during gestation. By defining this immunological chronology during normal term pregnancy, they can now begin to determine which alterations associate with pregnancy-related pathologies.

 

With an advanced statistical modeling technique, introduced for the first time in this study, the scientists then described in detail how the immune system changes throughout pregnancy. Instead of grouping the women’s blood samples by trimester for analysis, the model treated gestational age as a continuous variable, allowing the researchers to account for the exact time during pregnancy at which each sample was taken. The mathematical model also incorporated knowledge from the existing scientific literature of how immune cells behave in nonpregnant individuals to help determine which findings were most likely to be important.

 

The study confirmed immune features of pregnancy that were already known. Such as the scientists saw that natural killer cells and neutrophils have enhanced action during pregnancy. The researchers also uncovered several previously unappreciated features of how the immune system changes, such as the finding that activity of the STAT5 signaling pathway in CD4+T cells progressively increases throughout pregnancy on a precise schedule, ultimately reaching levels much higher than in nonpregnant individuals. The STAT5 pathway is involved in helping another group of immune cells, regulatory T cells, to differentiate. Interestingly, prior research in animals has indicated that regulatory T cells are important for maintaining pregnancy.

 

The next step will be to conduct similar research using blood samples from women who deliver their babies prematurely to see where their trajectories of immune function differ from normal.

 

This study revealed a precisely timed chronology of immune adaptations in peripheral blood over the course of a term pregnancy. This finding was enabled by high-content, single-cell mass cytometry coupled with a csEN algorithm accounting for the modular structure of the immune system and previous knowledge. The study provided the conceptual backbone and the analytical framework to examine whether disruption of this chronology is a diagnostically useful characteristic of preterm birth and other pregnancy-related pathologies.

 

References:

 

http://immunology.sciencemag.org/content/2/15/eaan2946.full

 

http://med.stanford.edu/news/all-news/2017/09/immune-system-changes-during-pregnancy-are-precisely-timed.html

 

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078586/

 

http://www.nature.com/nm/journal/v19/n5/full/nm.3160.html?foxtrotcallback=true

 

https://www.ncbi.nlm.nih.gov/pubmed/14758358

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Lectures by The 2017 Award Recipients of Warren Alpert Foundation Prize in Cancer Immunology, October 5, 2017, HMS, 77 Louis Paster, Boston

Top, from left: James Allison and Lieping Chen. Bottom, from left: Gordon Freeman, Tasuku Honjo (NOT ATTENDED), Arlene Sharpe.

Aviva Lev-Ari, PhD, RN was in attendance and covered this event LIVE

 

The 2017 Warren Alpert Foundation Prize has been awarded to five scientists for transformative discoveries in the field of cancer immunology.

Collectively, their work has elucidated foundational mechanisms in cancer’s ability to evade immune recognition and, in doing so, has profoundly altered the understanding of disease development and treatment. Their discoveries have led to the development of effective immune therapies for several types of cancer.

The 2017 award recipients are:

  • James Allison, professor of immunology and chair of the Department of Immunology, The University of Texas MD Anderson Cancer Center – Immune checkpoint blockage in Cancer Therapystrictly Genomics based drug
  1. 2017 FDA approved a gemonics based drug
  2. and co-stimulatory signals
  3. CTLA-4 blockade, CD28, AntiCTLA-4 induceses regression of Transplantable Murine tumo
  4. enhance tumor-specific immune response
  5. Fully antibody human immune response in 10,000 patients – FDA approved 2011
  6. Metastatic melanoma – 3 years survival, programmed tumor death, PD-1, MHC-A1
  7. Ipi/Nivo vs. Ipi – combination – 60% survival vs Ipi alone
  8. Anti CTA4 va Anti-PD-1
  9. responsive T cell population – MC38 TILs
  10. MC38 Infiltrating T cell populations: Treg, CD4, Effector, CD8, NKT/gamma-delta
  11. Checkpoint blockage modulates infiltrating T cell population frequencies
  12. T reg correlated with Tumor growth
  13. Combination therapy lead to CURE survival at 80% rate vs CTAL-4 40% positive outcome

Not Attended — Tasuku Honjo, professor of immunology and genomic medicine, Kyoto University – Immune regulation of Cancer Therapy by PD-1 Blockade

 

  • Lieping Chen, United Technologies Corporation Professor in Cancer Research and Professor of immunobiology, of dermatology and of medicine, Yale University – Adoptive Resistance: Molecular Pathway t Cancer Therapy – focus on solid tumors
  1. Enhancement – Enhance normal immune system – Co-stimulation/Co-inhibition Treg, and Cytokines, adoptive cell therapy, Lymphoid organs stores
  2. Normalization – to correct defective immune system – normalizing tumor immunity, diverse tumor escape mechanisms
  3. Anti-PD therapy: regression of large solid tumors: normalizing tumor immunity targeting tumor microenvironment: Heterogeneity, functional modulation, cellular and molecular components – classification by LACK of inflamation, adaptive resistance, other inhibitory pathways, intrinsic induction
  4. avoid autoimmune toxicity,
  5. Resetting immune response (melanoma)
  6. Understad Resistance: Target missing resistance or Adaptive resistance Type II= acquired immunity
  • Gordon Freeman, professor of medicine, Dana-Farber Cancer Institute, Harvard Medical School – PD-L1/PD-1 Cancer Immunotherapy
  1. B7 antibody
  2. block pathway – checkpoint blockage, Expand the T cells after recognition of the disease. T cell receptor signal, activation, co -stimulatory: B71 molecule, B72 – survival signals and cytokine production,.Increased T cell proliferation,
  3. PDL-1 is a ligand of PD 1. How T cell die? genes – PD1 Gene was highly expressed,
  4. Interferon gamma upregulate PD-L1 expression
  5. Feedback loop Tumor – stimulating immune response, interferon turn off PD1
  6. PD-L1 and PD-L2 Expression: Interferom
  7. Trancefuctor MHC, B7-2
  8. PD-L! sisgnat inhibit T-cell activation: turn off Proliferation and cytokine production — Decreasing the immune response
  9. T cell DNA Content: No S-phase devided cell
  10. PD-L1 engagement of PD-1 results in activation : Pd-1 Pathway inhibits T Cell Actiivation – lyposite motility,
  11. Pd-L2 is a second ligand for PD-1 and inhibits T cell activation
  12. PDl-1 expression: BR CA, Ovarian, Colonol-rectal, tymus, endothelial
  13. Blockage of the Pathway – Immune response enhanced
  14. Dendritic cells express PD-L1, PD-L2 and combination of Two, Combination was best of all by increase of cytokine production, increasing the immune response.
  15. PD-L1 blockade enhanced the immune response , increase killing and increased production of cytokines,
  16. anti-tumor efficacy of anti-PD-1/Pd-L1
  17. Pancreatic and colono-rector — PD-L, PDL1, PDL2 — does not owrkd.
  18. In menaloma: PD-1 works better than CYLA-4
  19. Comparison of Targeted Therapy: BRAF TKI vs Chemo high % but short term
  20. Immunotherapy – applies several mechanism: pre-existing anti-therapy
  21. Immune desert: PD=L does not work for them
  22. COMBINATION THERAPY: BLOCK TUMOR INVASION THEN STIMULATE IMMUNE RESPONSE — IT WILL WORK
  23. PD blockage + nutrients and probiotic
  24. Tumor Genome Therapy
  25. Tumore Immuno-evasion Score
  26. Antigens for immune response – choose the ones
  27. 20PD-1 or PD-L1 drugs in development
  28. WHO WILL THE DRUG WORK FOR?

 

  • Arlene Sharpe, the George Fabyan Professor of Comparative Pathology, Harvard Medical School; senior scientist, department of pathology, Brigham and Women’s Hospital – Multi-faceted Functionsof the PD-1 Pathway
  1. function of the pathway: control T cell activation and function of maintain immune tolerance
  2. protect tissues from damage by immune response
  3. T cell dysfunction during cancer anf viral infection
  4. protection from autoimmunity, inflammation,
  5. Mechanism by which PD-1 pathway inhibits anti-tumor immunity
  6. regulation of memoryT cell responce of PD-1
  7. PD-1 signaling inhibit anti-tumor immunity
  8. Compare: Mice lacking CD8-Cre- (0/5) cleared vs PD-1-/-5/5 – PD-1 DELETION: PARTIAL AND TIMED: DELETION OF PD-1 ON HALF OG TILS STARTING AT DAY 7 POSTTUMOR IMPLANTATION OF BOTH PD-1 AND PD-1 TILS: – Tamoxifen days 7-11
  9. Transcription profile: analysis of CD8+ TILs reveal altered metabolism: Fatty Acid Metabolism vs Oxidative Phosphorylation
  10. DOes metabolic shift: WIld type mouth vs PD-1-/_ P14: analyze Tumor cell killingPD-1-/- enhanced FAO increases CD8+ T cell tocicity
  11. Summary: T cell memory development and PD-1: T effectors vs T cell memory: Primary vs Secondary infection: In the absent of PD-1, CD8+ T cels show increase expansion of T cells
  12. INFLUENZA INFECTION: PRIMARY more virus in lung in PD-1 is lacking
  13. Acute infection: PD-1 controls memory T cell differentiation vs PD-1 increase expansion during effector phase BUT impaired persistence during memory phase: impaired cytokine production post re-challenge
  14. PD-1 immunotherapy work for patients with tumor: Recall Response and Primary response
  15. TIL density Primary vs Long term survivor – 5 days post tumor implantation – rechallenged long term survival
  16. Hot tumor vs Cold tumor – Deletion of PD-1 impairs T memory cell development

 

Opening Remarks: George Q. Daley, MD, PhD, DEAN, HMS

  • Scientific collaboration check point – avoid the body attacking itself, sabotaging the immune system
  • 1987 – Vaccine for HepB
  • Eight of the awardees got the Nobel Prize

 

Moderated by Joan Brugge, PhD, HMS, Prof. of Cell Biology

  • Evolution of concepts of Immunotherapy: William Coley’s Toxin streptoccocus skin infection.
  • 20th century: Immuno-surveilence, Immune response – field was dead in 1978 replaced by Immunotherapy
  • Rosenberg at NIH, high dose of costimulatory molecule prevented tumor reappearanceantbody induce tumor immunity–>> immune theraphy by check point receptor blockade – incidence of tumor in immune compromised mice – transfer T cell
  • T cell defficient, not completely defficient, self recognition of tumor,
  • suppress immmune – immune evasion
  • Michael Atkins, MD, Detupy Director, Georgetown-Lombardi, Comprehensive Cancer Center Clinical applications of Checkpoint inhibitors: Progress and Promise
  1. Overwhelm the Immune system, hide, subvert, Shield, defend-deactivating tumor trgeting T cells that ATTACK the immune system
  2. Immune system to TREAT the cancer
  3. Monotherapy – anti PD1/PD-L1: Antagonist activity
  4. Evading immune response: prostate, colcn
  5. MMR deficiency
  6. Nivolumab in relaped/Refractory HODGKIN LYMPHOMAS – over expression of PD-L1 and PDL2in Lymphomas
  7. 18 month survival better with Duv in Lung cancer stage 3 – anti PD-1- adjuvant therapy with broad effectiveness
  8. Biomarkers for pD-L1 Blockage
  9. ORR higher in PD-L1
  10. Improve Biomarkers: Clonality of T cells in Tumors
  11. T-effector Myeloid Inflammation Low – vs Hogh:
  12. Biomarker Model: Neoantigen burden vs Gene expression vs CD8+
  13. Tissue DIagnostic Labs: Tumor microenveironmenr
  14. Microbiome
  15. Combination: Nivo vs Nivo+Ipi is superior: DETERMINE WHEN TO STOP TREATMENT
  16. 15/16 stopped treatment – Treatment FREE SURVIVAL
  17. Sequencing with Standard Therapies
  18. Brain metastasis – Immune Oncology Therapy – crosses the BBB
  19. Less Toxic regimen, better toxicity management,
  20. Use Immuno therapy TFS
  21. combination – survival must be justified
  22. Goal: to make Cancer a curable disease vs cancer becoming a CHronic disease

 

Closing Remarks: George Q. Daley, MD, PhD, DEAN, HMS

 

The honorees will share a $500,000 prize and will be recognized at a day-long symposium on Oct. 5 at Harvard Medical School.

The Warren Alpert Foundation, in association with Harvard Medical School, honors trailblazing scientists whose work has led to the understanding, prevention, treatment or cure of human disease. The award recognizes seminal discoveries that hold the promise to change our understanding of disease or our ability to treat it.

“The discoveries honored by the Warren Alpert Foundation over the years are remarkable in their scope and potential,” said George Q. Daley, dean of Harvard Medical School. “The work of this year’s recipients is nothing short of breathtaking in its profound impact on medicine. These discoveries have reshaped our understanding of the body’s response to cancer and propelled our ability to treat several forms of this recalcitrant disease.”

The Warren Alpert Foundation Prize is given internationally. To date, the foundation has awarded nearly $4 million to 59 scientists. Since the award’s inception, eight honorees have also received a Nobel Prize.

“We commend these five scientists. Allison, Chen, Freeman, Honjoand Sharpe are indisputable standouts in the field of cancer immunology,” said Bevin Kaplan, director of the Warren Alpert Foundation. “Collectively, they are helping to turn the tide in the global fight against cancer. We couldn’t honor more worthy recipients for the Warren Alpert Foundation Prize.”

The 2017 award: Unraveling the mysterious interplay between cancer and immunity

Understanding how tumor cells sabotage the body’s immune defenses stems from the collective work of many scientists over many years and across multiple institutions.

Each of the five honorees identified key pieces of the puzzle.

The notion that cancer and immunity are closely connected and that a person’s immune defenses can be turned against cancer is at least a century old. However, the definitive proof and demonstration of the steps in this process were outlined through findings made by the five 2017 Warren Alpert prize recipients.

Under normal conditions, so-called checkpoint inhibitor molecules rein in the immune system to ensure that it does not attack the body’s own cells, tissues and organs. Building on each other’s work, the five award recipients demonstrated how this normal self-defense mechanism can be hijacked by tumors as a way to evade immune surveillance and dodge an attack. Subverting this mechanism allows cancer cells to survive and thrive.

A foundational discovery made in the 1980s elucidated the role of a molecule on the surface of T cells, the body’s elite assassins trained to seek, spot and destroy invaders.

A protein called CTLA-4 emerged as a key regulator of T cell behavior—one that signals to T cells the need to retreat from an attack. Experiments in mice lacking CTLA-4 and use of CTLA-4 antibodies demonstrated that absence of CTLA-4 or blocking its activity could lead to T cell activation and tumor destruction.

Subsequent work identified a different protein on the surface of T cells—PD-1—as another key regulator of T cell response. Mice lacking this protein developed an autoimmune disease as a result of aberrant T cell activity and over-inflammation.

Later on, scientists identified a molecule, B7-H1, subsequently renamed PD-L1, which binds to PD-1, clicking like a key in a lock. This was followed by the discovery of a second partner for PD-1—the molecule PD-L2—which also appeared to tame T-cell activity by binding to PD-1.

The identification of these molecules led to a set of studies showing that their presence on human and mouse tumors rendered the tumors resistant to immune eradication.

A series of experiments further elucidated just how tumors exploit the interaction between PD-1 and PD-L1 to survive. Specifically, some tumor cells appeared to express PD-L1, essentially “wrapping” themselves in it to avoid immune recognition and destruction.

Additional work demonstrated that using antibodies to block this interaction disarmed the tumors, rendering them vulnerable to immune destruction.

Collectively, the five scientists’ findings laid the foundation for antibody-based therapies that modulate the function of these molecules as a way to unleash the immune system against cancer cells.

Antibody therapy that targets CTLA-4 is currently approved by the FDA for the treatment of melanoma. PD-1/PD-L1 inhibitors have already shown efficacy in a broad range of cancers and have been approved by the FDA for the treatment of melanoma; kidney; lung; head and neck cancer; bladder cancer; some forms of colorectal cancer; Hodgkin lymphoma and Merkel cell carcinoma.

In their own words

“I am humbled to be included among the illustrious scientists who have been honored by the Warren Alpert Foundation for their contributions to the treatment and cure of human disease in its 30+ year history.  It is also recognition of the many investigators who have labored for decades to realize the promise of the immune system in treating cancer.”
        -James Allison


“The award is a great honor and a wonderful recognition of our work.”
         Lieping Chen



I am thrilled to have made a difference in the lives of cancer patients and to be recognized by fellow scientists for my part in the discovery of the PD-1/PD-L1 and PD-L2 pathway and its role in tumor immune evasion.  I am deeply honored to be a recipient of the Alpert Award and to be recognized for my part in the work that has led to effective cancer immunotherapy. The success of immunotherapy has unleashed the energies of a multitude of scientists to further advance this novel strategy.”
                                        -Gordon Freeman


I am extremely honored to receive the Warren Alpert Foundation Prize. I am very happy that our discovery of PD-1 in 1992 and subsequent 10-year basic research on PD-1 led to its clinical application as a novel cancer immunotherapy. I hope this development will encourage many scientists working in the basic biomedical field.”
-Tasuku Honjo


“I am truly honored to be a recipient of the Alpert Award. It is especially meaningful to be recognized by my colleagues for discoveries that helped define the biology of the CTLA-4 and PD-1 pathways. The clinical translation of our fundamental understanding of these pathways illustrates the value of basic science research, and I hope this inspires other scientists.”
-Arlene Sharpe

Previous winners

Last year’s award went to five scientists who were instrumental in the discovery and development of the CRISPR bacterial defense mechanism as a tool for gene editing. They were RodolpheBarrangou of North Carolina State University, Philippe Horvath of DuPont in Dangé-Saint-Romain, France, Jennifer Doudna of the University of California, Berkeley, Emmanuelle Charpentier of the Max Planck Institute for Infection Biology in Berlin and Umeå University in Sweden, and Virginijus Siksnys of the Institute of Biotechnology at Vilnius University in Lithuania.

Other past recipients include:

  • Tu Youyou of the China Academy of Chinese Medical Science, who went on to receive the 2015 Nobel Prize in Physiology or Medicine with two others, and Ruth and Victor Nussenzweig, of NYU Langone Medical Center, for their pioneering discoveries in chemistry and parasitology of malaria and the translation of their work into the development of drug therapies and an anti-malarial vaccine.
  • Oleh Hornykiewicz of the Medical University of Vienna and the University of Toronto; Roger Nicoll of the University of California, San Francisco; and Solomon Snyder of the Johns Hopkins University School of Medicine for research into neurotransmission and neurodegeneration.
  • David Botstein of Princeton University and Ronald Davis and David Hogness of Stanford University School of Medicine for contributions to the concepts and methods of creating a human genetic map.
  • Alain Carpentier of Hôpital Européen Georges-Pompidou in Paris and Robert Langer of MIT for innovations in bioengineering.
  • Harald zur Hausen and Lutz Gissmann of the German Cancer Research Center in Heidelberg for work on the human papillomavirus (HPV) and cancer of the cervix. Zur Hausenand others were honored with the Nobel Prize in Physiology or Medicine in 2008.

The Warren Alpert Foundation

Each year the Warren Alpert Foundation receives between 30 and 50 nominations from scientific leaders worldwide. Prize recipients are selected by the foundation’s scientific advisory board, which is composed of distinguished biomedical scientists and chaired by the dean of Harvard Medical School.

Warren Alpert (1920-2007), a native of Chelsea, Mass., established the prize in 1987 after reading about the development of a vaccine for hepatitis B. Alpert decided on the spot that he would like to reward such breakthroughs, so he picked up the phone and told the vaccine’s creator, Kenneth Murray of the University of Edinburgh, that he had won a prize. Alpert then set about creating the foundation.

To award subsequent prizes, Alpert asked Daniel Tosteson (1925-2009), then dean of Harvard Medical School, to convene a panel of experts to identify scientists from around the world whose research has had a direct impact on the treatment of disease.

SOURCE

https://hms.harvard.edu/news/warren-alpert-foundation-honors-pioneers-cancer-immunology

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Reporter and Curator: Dr. Sudipta Saha, Ph.D.

During pregnancy, the baby is mostly protected from harmful microorganisms by the amniotic sac, but recent research suggests the baby could be exposed to small quantities of microbes from the placenta, amniotic fluid, umbilical cord blood and fetal membranes. One theory is that any possible prenatal exposure could ‘pre-seed’ the infant microbiome. In other words, to set the right conditions for the ‘main seeding event’ for founding the infant microbiome.

When a mother gives birth vaginally and if she breastfeeds, she passes on colonies of essential microbes to her baby. This continues a chain of maternal heritage that stretches through female ancestry for thousands of generations, if all have been vaginally born and breastfed. This means a child’s microbiome, that is the trillions of microorganisms that live on and in him or her, will resemble the microbiome of his/her mother, the grandmother, the great-grandmother and so on, if all have been vaginally born and breastfed.

As soon as the mother’s waters break, suddenly the baby is exposed to a wave of the mother’s vaginal microbes that wash over the baby in the birth canal. They coat the baby’s skin, and enter the baby’s eyes, ears, nose and some are swallowed to be sent down into the gut. More microbes form of the mother’s gut microbes join the colonization through contact with the mother’s faecal matter. Many more microbes come from every breath, from every touch including skin-to-skin contact with the mother and of course, from breastfeeding.

With formula feeding, the baby won’t receive the 700 species of microbes found in breast milk. Inside breast milk, there are special sugars called human milk oligosaccharides (HMO’s) that are indigestible by the baby. These sugars are designed to feed the mother’s microbes newly arrived in the baby’s gut. By multiplying quickly, the ‘good’ bacteria crowd out any potentially harmful pathogens. These ‘good’ bacteria help train the baby’s naive immune system, teaching it to identify what is to be tolerated and what is pathogen to be attacked. This leads to the optimal training of the infant immune system resulting in a child’s best possible lifelong health.

With C-section birth and formula feeding, the baby is not likely to acquire the full complement of the mother’s vaginal, gut and breast milk microbes. Therefore, the baby’s microbiome is not likely to closely resemble the mother’s microbiome. A baby born by C-section is likely to have a different microbiome from its mother, its grandmother, its great-grandmother and so on. C-section breaks the chain of maternal heritage and this break can never be restored.

The long term effect of an altered microbiome for a child’s lifelong health is still to be proven, but many studies link C-section with a significantly increased risk for developing asthma, Type 1 diabetes, celiac disease and obesity. Scientists might not yet have all the answers, but the picture that is forming is that C-section and formula feeding could be significantly impacting the health of the next generation. Through the transgenerational aspect to birth, it could even be impacting the health of future generations.

References:

https://blogs.scientificamerican.com/guest-blog/shortchanging-a-babys-microbiome/

https://www.ncbi.nlm.nih.gov/pubmed/23926244

https://www.ncbi.nlm.nih.gov/pubmed/26412384

https://www.ncbi.nlm.nih.gov/pubmed/25290507

https://www.ncbi.nlm.nih.gov/pubmed/25974306

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http://ndnr.com/gastrointestinal/the-infant-microbiome-how-environmental-maternal-factors-influence-its-development/

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The Strategy of Precision Editing the Cancer Cell Glycocalyx using an “antibody–enzyme conjugate” for Cancer Immunotherapy: Research Beyond “augment the activator or remove inhibitor, or both”

Reporter: Aviva Lev-Ari, PhD, RN

Significance

Successful tumors are able to evade the immune system, which is otherwise capable of killing transformed cells. Therapies that prevent this evasion have become revolutionary treatments for incurable cancers. One mechanism of evasion is the presentation of sugars, called sialic acids, within the cell surface’s sugar coating, or glycocalyx. Here, we designed biotherapeutic molecules, termed “antibody–enzyme conjugates,” that selectively remove sialic acids from tumor cells. The antibody directs the enzyme to the cancer cells, the enzyme cleaves the sugars, and then the antibody directs immune cells to kill the desialylated cancer cells. The conjugate increased tumor cell killing compared with the antibody alone. Editing the cancer cell glycocalyx with an antibody–enzyme conjugate represents a promising approach to cancer immune therapy.

SOURCE 

 

AUGUST 22, 2016

Stanford chemists develop a new method of cancer immunotherapy

A team of Stanford ChEM-H scientists has discovered a novel form of cancer immunotherapy, which works by removing certain sugars from the surface of cancer cells and making those cells visible to the immune system.

“All of the world of immune therapy is now thinking about the immune system as calculating pluses and minuses. If you want to tilt the scale toward immune activation, you can either augment the activator or remove inhibitor, or both,” said Bertozzi, who is also an investigator with the Howard Hughes Medical Institute.

Current immunotherapies on the market work by blocking one of the inhibitory signals that are recognized by the adaptive immune system. Block those and the balance tilts in such a way that the immune system will attack the now recognizable cancer.

Bertozzi’s approach provides a second way of tiling the balance in favor of attack, this time for the innate immune system. She said this study shows just one example of how it could work, but her sugar-removing lawnmower could be used on a wide variety of cell types, not just those expressing HER2, and on different types of sugars.

“It’s almost always the case that you need a component of both the adaptive and innate immunity to get a robust reaction against infectious pathogens, such as during vaccination,” said Bertozzi. “The smart money suggests that the same will be true with tumors.”

Bertozzi said the approach also highlights the importance of paying attention to the much ignored glycocalyx.

SOURCE

Stanford chemists develop a new method of cancer immunotherapy

http://news.stanford.edu/2016/08/22/new-method-cancer-immunotherapy/

 

immobilization-ok

A symbolic representation of a glycocalyx chain attached to a cytoskeleton.

IMAGE SOURCE: google images

 

glycocalyx-145E1F0C801699F8CFE

image glycocalyx

IMAGE SOURCE: google images

Glycocalyx

Glycocalyx – www.futura-sciences.us576 × 284Search by image

The carbohydrates, glycoproteins and proteoglycans making up the glycocalyx

IMAGE SOURCE: google images

PNAS – Original Article

Precision glycocalyx editing as a strategy for cancer immunotherapy

  1. Han Xiaoa,b,1,
  2. Elliot C. Woodsa,b,1,
  3. Petar Vukojicica,b, and
  4. Carolyn R. Bertozzia,b,2
  1. Edited by Laura L. Kiessling, University of Wisconsin-Madison, Madison, WI, and approved July 11, 2016 (received for review May 24, 2016)

Abstract

Cell surface sialosides constitute a central axis of immune modulation that is exploited by tumors to evade both innate and adaptive immune destruction. Therapeutic strategies that target tumor-associated sialosides may therefore potentiate antitumor immunity. Here, we report the development of antibody–sialidase conjugates that enhance tumor cell susceptibility to antibody-dependent cell-mediated cytotoxicity (ADCC) by selective desialylation of the tumor cell glycocalyx. We chemically fused a recombinant sialidase to the human epidermal growth factor receptor 2 (HER2)-specific antibody trastuzumab through a C-terminal aldehyde tag. The antibody–sialidase conjugate desialylated tumor cells in a HER2-dependent manner, reduced binding by natural killer (NK) cell inhibitory sialic acid-binding Ig-like lectin (Siglec) receptors, and enhanced binding to the NK-activating receptor natural killer group 2D (NKG2D). Sialidase conjugation to trastuzumab enhanced ADCC against tumor cells expressing moderate levels of HER2, suggesting a therapeutic strategy for cancer patients with lower HER2 levels or inherent trastuzumab resistance. Precision glycocalyx editing with antibody–enzyme conjugates is therefore a promising avenue for cancer immune therapy.

SOURCE 

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