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Archive for the ‘Immuno-Oncology & Genomics’ Category

How Immunotherapy may sometimes make Cancer worse?

Reporter: Aviva Lev-Ari, PhD, RN

 

A potential explanation is

Advances in Brief Cancer Cell Motility-inhibitory Protein in the Dunning Adenocarcinoma Model1 (2013)

by James L. Mohler , Elaine N. Broskie , Dipak J. Ranparia , Et Al , Contact The Aacr Publications , L. Mohler , Elaine N. Broskie , Dipak J. Ranparia , Yousuf Sharief , William B. Coleman , Cary J. Smith

1 comment

  1. Avatar for Elaine Broskie
    Elaine Broskie2017-04-08 08:22 PM

    Some cancer cells may just be more differentiated and therefore easier to kill with immunotherapy. Simultaneously since they are more differentiated they may be the sort of cells that hold more rogue cancer cells in check. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.326.7968

 

How Immunotherapy may sometimes make Cancer worse?

Warning signs

Kurzrock began asking around, collecting anecdotes about people — and even about laboratory mice — whose tumours had advanced rapidly after treatment with an immunotherapy. Even after collecting examples from several sources, she felt nervous about releasing her results. “We thought, ‘Who’s going to publish this? They’re not going to believe us,’” she says.

Meanwhile, researchers at the Gustave Roussy Institute in Villejuif, France, had stumbled on the same problem. Charles Ferté, an oncologist at the institute, recalls attending a meeting in which several physicians reported bizarre responses to PD-1 treatment. “Some friends and colleagues were saying, ‘I treated lung patients with that drug and the tumour completely exploded in two weeks’,” says Ferté.

Ferté and his colleagues decided to launch a systematic study of tumour growth in their patients. Last November, they published their results: of 131 people who received anti-PD-1 therapies, 9% developed what the investigators called “hyperprogressive” disease, with accelerated tumour growth1. The phenomenon appeared to be more common in people over the age of 65.

On 28 March, Kurzrock and her colleagues published their data from 155 people treated with PD-1 inhibitors and other immunotherapies2. Six of the people had extra copies of MDM2 or MDM4 and 10 had mutations in a gene called EGFR, which is associated with cancer. The team did not see any correlation between age and rapidly worsening disease, but they did notice that tumours grew faster in four of those with the extra MDM2 or MDM4 genes, and in two of the people with EGFR mutations.

SOURCE

6 APRIL 2017 | VOL 544 | NATURE

http://www.nature.com/news/promising-cancer-drugs-may-speed-tumours-in-some-patients-1.21755

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CHI’s Combination Immunotherapy Design Models, February 20-22, 2017, Moscone North Convention Center, San Francisco, CA – part of the 24th International Molecular Medicine Tri-Conference

Reporter: Aviva Lev-Ari, PhD, RN

 

Cambridge Healthtech Institute’s Fifth Annual

Combination Immunotherapy Design Models

Preclinical Approaches and Biomarkers to Bring Combination Therapies to the Clinic

February 20-22, 2017 | Moscone North Convention Center | San Francisco, CA
Part of the 24th International Molecular Medicine Tri-Conference

Despite tremendous progress in our understanding of cancer biology, the majority of novel anticancer therapies fail in clinical trials, which indicates deficiencies in conventional translational approaches. In most cases preclinical data have overpredicted clinical efficacy in oncology. With the rise of immuno-oncology the challenge of in vivo pharmacology was enhanced by the differences in mouse and human immune systems that further damages the predictiveness of preclinical data. The phenomenon of cancer heterogeneity and subsequent drug resistance add another dimension to the preclinical cancer research warranting active work on combination cancer regimens. Better models and approaches are clearly in high and urgent demand and has been worked on by industry and academia scientists. Cambridge Healthtech Institute’s Fifth Annual Translational Models in Oncology and Immuno-Oncology conference is designed to highlight cutting edge advances in in vivo, in vitro and in silico modeling and to facilitate a discussion about effective translational approaches in cancer research.

 

 

MONDAY, FEBRUARY 20

10:30 am Conference Program Registration Open

TRANSLATIONAL IMMUNO-ONCOLOGY

11:50 Chairperson’s Opening Remarks

Terri McClanahan, Ph.D., Executive Director, Molecular Discovery, Biologics, Merck Research Laboratories

12:00 pm KEYNOTE PRESENTATION: Rational Development of Combination Therapies in Immuno-Oncology

Michael Kalos, M.D., CSO, Cancer Immunobiology, Eli Lilly

Treatment of patients with combinations of agents, such as CTLA4 and PD1, has provided additional benefit to patients, along with increased toxicity, highlighting the value for developing combination therapies. In this session, we will discuss preclinical and translational strategies and approaches to support the rational development of more effective combination strategies that lead to increased clinical benefit for patients.

12:30 Biomarker Development for the Era of Combination Cancer Immunotherapy

Terri McClanahan, Ph.D., Executive Director, Molecular Discovery, Biologics, Merck Research Laboratories

Keytruda® (pembrolizumab), a PD-1-specific monoclonal antibody, is approved in the U.S. for advanced melanoma, NSCLC and SCCHN, and is being studied in >30 cancers. Efforts are now underway to extend the benefit of cancer immunotherapy to more patients through the use of anti PD-1-based combination regimens. However, significant challenges remain to identify the best combinations that provide true immune synergy, and to target the right combinations to the right patients who will experience unambiguous clinical benefit. Biomarker and translational research-driven strategies can guide the future state of the field, ultimately allowing for the development of precision medicine approaches to combination cancer immunotherapy.

1:00 Session Break

1:10 Luncheon Presentation (Sponsorship Opportunity Available) or Enjoy Lunch on Your Own

2:10 Session Break

TRANSLATIONAL IMMUNO-ONCOLOGY (CONT.)

2:30 Chairperson’s Remarks

Christian Gerdes, Ph.D., Head, Pharmacology, Roche Pharma Research & Early Development, Roche

2:40 Immunocompetent Mouse Models as a Tool for Cancer Immunotherapy Pipeline Advancement

Christian Gerdes, Ph.D., Head, Pharmacology, Roche Pharma Research & Early Development, Roche

As immunotherapy gains more and more traction, the need for more predictive preclinical models grows as well. It is widely recognized that immunocompetent mice are used to assess the anti-tumor efficacy of cancer immunotherapies. This presentation will discuss the uses of mouse models and how they can advance drug pipelines.

3:10 Designing and Executing Cancer Immunotherapy Clinical Trials

Pamela N. Munster, M.D., Professor, Medicine, Program Leader, Development Therapeutics, Director, Early Phase Clinical Trials Program, Helen Diller Cancer Center, University of California, San Francisco

A breakdown in immune tumor surveillance plays a crucial role in the development of metastatic cancer. Targeting the programmed death receptor (PD-1) and its ligand (PD-L1) have been major breakthroughs in certain cancers such melanoma, lung and other cancers. However, many cancers, including breast cancers, appear less responsive. We are exploring the roles of tumor lymphocyte infiltration, T cell differential, epigenetic modifiers and the co-operative involvement of other immune pathways to induce responses in immune silent tumors. Translating preclinical findings into early phase clinical studies, we will describe recent advances in how to determine safety, feasibility and efficacy of integrating immunotherapy into targeted therapy and chemotherapy.

3:40 Talimogene Laherparepvec in Combination with Checkpoint Inhibitors: From Bench to Bedside

Pedro J. Beltran, Ph.D., Research Director, Oncology Research, Amgen, Inc.

Checkpoint inhibitors and viral immunotherapy with talimogene laherparepvec have shown significant therapeutic benefit in melanoma patients when used as monotherapies. As these two forms of approved immunotherapy act mostly on different parts of the immunity cycle, studying their combination pre-clinically and clinically informs their future development. We have used 3 syngeneic murine models to study the pharmacodynamic and efficacy changes driven by the combination of talimogene laherparepvec and blockade of CTLA-4 or PD-1/PD-L1. Clinical trials testing these combinations in the clinic are currently ongoing.

4:10 Presentation to be Announced

 

4:25 Sponsored Presentation (Opportunity Available)

4:40 Refreshment Break and Transition to Plenary Session

5:00 Plenary Keynote Session

6:00 Grand Opening Reception in the Exhibit Hall with Poster Viewing

7:30 Close of Day

TUESDAY, FEBRUARY 21

7:30 am Registration Open and Morning Coffee

8:00 Plenary Keynote Session

9:00 Refreshment Break in the Exhibit Hall with Poster Viewing

TUMOR MODELS FOR CANCER IMMUNOTHERAPY

10:05 Chairperson’s Remarks

Gavin Thurston, Vice President, Oncology and Angiogenesis Research, Regeneron Pharmaceuticals

10:15 Mouse Models to Test Human Cancer Immuno-Therapeutics

Gavin Thurston, Vice President, Oncology and Angiogenesis Research, Regeneron Pharmaceuticals

Preclinical in vivo tumor models are essential to test anti-tumor activity and side-effect profiles of novel immunotherapeutics. However, antibody-based therapies often do not cross-react with the corresponding murine targets, making such tests difficult. We have utilized Regeneron’s capabilities in murine genetic engineering to develop several approaches of combining functional immune cells with preclinical tumor models. We have used these approaches for preclinical testing of both checkpoint inhibiting antibodies and T cell-engaging bispecific antibodies.

10:45 Characterization of Molecular and Cellular Properties of Murine Syngeneic Models to Aid Model Selection and Biomarker Discovery for Immune-Oncology Programs

Wenyan Zhong, Ph.D., Senior Principal Scientist, Oncology R&D Group, Pfizer

Preclinical in vivo models for most immuno-oncology (IO) programs require the use of immunocompetent mice bearing syngeneic tumors. To facilitate model selection for use in preclinical efficacy studies, we characterized a panel of mouse tumor cell lines and syngeneic tumor tissues. In this talk, we will discuss molecular and cellular properties of these models.

11:15 Case Study: Blockade of Phosphatidylserine-Mediated Tumor Immune Suppression to Enhance Immune Checkpoint Therapies

Michael Gray, Ph.D., Senior Research Scientist, Peregrine Pharmaceuticals

Phosphatidylserine (PS) exposure in tumors induces non-inflammatory signals which contribute to an immunosuppressive environment. Antibody blockade of PS activates immune responses by promoting M1 macrophages, maturation of dendritic cells and inducing adaptive T-cell responses. PS targeting antibodies enhance the anti-tumor activity of checkpoint antibodies in preclinical tumor models.

MIBioresearch11:45 Methods and Models for Preclinical Immuno-Oncology

Dylan Daniel, Ph.D., Director, Scientific Development, MI Bioresearch

MI Bioresearch has characterized an array of syngeneic immuno-oncology models to support in vivo pharmacology drug discovery. Our characterization includes comprehensive lymphoid and myeloid flow cytometry immune profiling, and model responses to checkpoint inhibitors and focal beam radiotherapy combinations.

12:00 pm Exemplar_GeneticsGenetically Engineered Miniswine Models of Cancer

John Swart, Ph.D., President, Exemplar Genetics

Current preclinical models of cancer fail to accurately recapitulate human disease and do not effectively translated to the clinic. Recently, Exemplar Genetics has developed a genetically engineered miniature swine model that contains a conditional KRAS mutation on the background of TP53-targeted pigs, the ExeGen® TP53+/R167H& KRAS+/G12D miniswine model. This model should allow for the inducement of human-like tumors in a tissue specific manner. Initial characterization of induced tumors demonstrates the transformative nature of this model.

12:30 Session Break

 Mitra Biotech12:35 Luncheon Presentation to be Announced

1:25 Refreshment Break in the Exhibit Hall with Poster Viewing

ADVANCING TRANSLATION WITH NOVEL APPROACHES AND INDUSTRY-ACADEMIA PARTNERSHIPS

2:00 Chairperson’s Remarks

Lawrence B. Schook, Ph.D., Gutsgell Professor, Animal Sciences and Radiology, University of Illinois

2:10 Collaboration for Translation: Academic-Industry Partnerships to Explore Novel Opportunities in the Area of Immuno-Oncology

Joseph Dal Porto, Ph.D., Director, Pfizer Center for Therapeutic Innovation

The Center for Therapeutic Innovation (CTI) -San Francisco is a direct partnership between Pfizer and leading academic institutions, including UC San Francisco, UC San Diego, Stanford University and others, to establish open collaborations designed to rapidly identify targets and develop therapeutic NMEs. The long-term goal is to substantially reduce the time required to translate promising bio-medical research into new medications and therapies. Most recently, CTI has joined with academic oncology and immunology researchers to understand the translatability of emerging targets in the Immuno-Oncology therapeutic arena.

2:40 An Example of a Collaboration between Industry and Academia for Testing Combination Therapies in Preclinical Patient-Derived Xenograft Models of Glioblastoma

Anderson Clark, Ph.D., Director, Translational in vivo Pharmacology, Oncology, EMD Serono Research & Development Institute

John De Groot, Associate Professor, Chair Ad Interim, Neuro-Oncology, The University of Texas MD Anderson Cancer Center

The use of patient-derived xenograft (PDX) models of cancer has increased over the past decade, both in industry and academia, providing preclinical data to support both drug development and basic oncology research.

3:20 The Oncopig Cancer Model (OCM): A Platform for Transitional, Translational and Transformative Advances in Cancer Research

Lawrence B. Schook, Ph.D., Gutsgell Professor, Animal Sciences and Radiology,

University of Illinois

Mammalian models are integral components of basic, translational, and clinical cancer research. Recently, there have been advances in creating large animal transitional porcine cancer models, for use in preclinical and translational research studies with transformational impact for human clinical trials. Pigs, due to their anatomy, physiology, metabolism, and genetics, provide an ideal investigational transitional platform for human clinical trials and offer a critical pathway to narrow gaps in cancer therapy.

3:40 Presentation to be Announced

 

4:10 Hollywood Oscar Dessert Reception in the Exhibit Hall with Poster Viewing

5:00 Breakout Discussions in the Exhibit Hall

These interactive discussion groups are open to all attendees, speakers, sponsors, & exhibitors. Participants choose a specific breakout discussion group to join. Each group has a moderator to ensure focused discussions around key issues within the topic. This format allows participants to meet potential collaborators, share examples from their work, vet ideas with peers, and be part of a group problem-solving endeavor. The discussions provide an informal exchange of ideas and are not meant to be a corporate or specific product discussion. Pre-registration to sign up for one of the topics will occur a week or two prior to the Event via the App.

Humanized Mouse Models

Gavin Thurston, Vice President, Oncology and Angiogenesis Research, Regeneron Pharmaceuticals

  • Appropriate applications of humanized mouse models in immuno-oncology
  • Limitations of current models
  • Areas of future development

Next Generation Cellular Models

Scott Martin, Senior Scientific Manager, Group Lead, Functional Genomics, Discovery Oncology, Genetech Inc.

  • Cancer cell line profiling
  • Large-scale genomic and drug response screening
  • Future directions

Biomarkers for Cancer Combination Design

Jianda Yuan, M.D., Ph.D., Director, Translational Immuno-Oncology Research, Early Clinical Oncology Development, Merck & Co., Inc.

  • Validation of biomarkers before use in clinical care
  • Using prognostic and predictive biomarkers for enrichment and stratification factors in drug development
  • Challenges and Implementation of biomarkers into clinical practice

6:00 Close of Day

WEDNESDAY, FEBRUARY 22

7:00 am Registration Open

7:00 Breakfast Presentation (Sponsorship Opportunity Available) or Morning Coffee

8:00 Plenary Keynote Session

10:00 Refreshment Break and Poster Competition Winner Announced in the Exhibit Hall

TRANSLATIONAL BIOMARKERS IN CANCER IMMUNOTHERAPY DEVELOPMENT

10:50 Chairperson’s Remarks

Jianda Yuan, M.D., Ph.D., Director, Translational Immuno-Oncology Research, Early Clinical Oncology Development, Merck & Co., Inc.

11:00 Next Generation Biomarkers for the Era of Combination Cancer Immunotherapy

Jianda Yuan, M.D., Ph.D., Director, Translational Immuno-Oncology Research, Early Clinical Oncology Development, Merck & Co., Inc.

Sarah Javaid, Ph.D., Senior Scientist, Discovery Pharmacogenomics, Genetics and Pharmacogenomics, Merck & Co., Inc.

Combination approaches are the keys to improving clinical response. From preclinical immune-oncology mouse models to patients enrolled on clinical trials, novel high throughput technologies enable us to understand the mechanisms underlying the complex interactions between the immune system and cancer, identify predictive biomarkers for the patients who will most likely benefit from current immunotherapies, avoid immune-related adverse events and guide the future combination cancer immunotherapy.

11:30 High-Content Molecular Profiling in Preclinical Immuno-Oncology Research

Ruslan Novosiadly, Senior Research Advisor, Cancer Immunobiology, Biomarkers, Eli Lilly

Recent clinical data have revealed the remarkable potential for T cell modulating agents to induce potent and durable responses in a subset of cancer patients. In this presentation, we discuss molecular approaches, platforms and strategies that enable a broader interrogation of the activity of agents that modulate the activity of tumor-specific T cells as well as examples of data sets generated in preclinical studies that have provided important insights into the biological activity of T cell therapies and support further rational development of this exciting treatment modality.

12:00 pm Utility of Quantifying Circulating Lymphocyte Populations as Pharmacodynamic Biomarkers in Trials of Immune Oncology Therapeutics

Nathan Standifer, Ph.D., Scientist II, Clinical Pharmacology and DMPK, MedImmune

Immune oncology (IO) therapeutics are directed at inducing immune responses against tumor cells. Intrinsic to this mechanism of action is the activation of circulating immune cells, which can be most effectively monitored using flow cytometry-based assays. In this presentation, aspects of assay development, validation, implementation and analysis of clinical flow cytometry datasets will be discussed. Results from clinical trials of IO as single agents or in combination with other IO will be shown and strategies for interpretation and post-hoc analyses will be detailed.

12:30 Session Break

Cellecta 12:40 Luncheon Presentation to be Announced

 

1:10 Refreshment Break in the Exhibit Hall and Last Chance for Poster Viewing

CELLULAR MODELS FOR COMBINATION THERAPY DESIGN

1:50 Chairperson’s Remarks

Scott Martin, Senior Scientific Manager, Group Lead, Functional Genomics, Discovery Oncology, Genetech

2:00 Understanding and Predicting Cellular Response through Chemical and Functional Genomic Profiling of Well-Characterized Cancer Cell Lines

Scott Martin, Senior Scientific Manager, Group Lead, Functional Genomics, Discovery Oncology, Genetech

Determining relationships between genomic features and drug sensitivity is central to the concept of personalized medicine and indication selection. Many studies have highlighted the value of integrating omics data with drug activity across cell lines to identify predictors of response. Here we extend upon these studies with numerous chemical and genetic perturbations to explore such relationships. Data reveals both known and novel correlations, and was also used to explore best experimental and computational practices.

2:30 Beyond Genomics: Identifying Treatment Options for Refractory Cancer Patients Using Real Time Functional Assays and FDA Approved Drug Combinations

Matthew De Silva, CEO, Founder, Notable Labs

Refractory cancer patients often have resistant disease that does not respond to single agent therapy. Combination strategies are promising, but patient heterogeneity makes clinical trial design difficult. Next generation functional phenotypic assays using a patient’s cancer cells can identify potentially synergistic treatments in a matter of days, but the combinatorial space is often larger than the available cells. In silico models that employ ‘omic data from a patient can prioritize which combinations to test ex vivo. If the agent(s) of choice are approved, physicians can then prescribe them

3:00 Generation of ex vivo Tumor Models from PDX Tumors as a Platform for Clinically Relevant Anticancer Drug Discovery

Geoffrey A. Bartholomeusz, Ph.D., Associate Professor and Director, siRNA Core Facility, Department of Experimental Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center

Monolayer cell cultures platforms inadequately represent the complex tumor microenvironment and drugs identified by these systems have failed when translated into the clinics. Clinically relevant PDX systems are both costly and time consuming. We have developed a clinically relevant ex vivo tumor tissue system derived from a PDX tumor, and preliminary data confirms its potential to serve as a platform for clinically relevant drug discovery in a time and cost effective manner.

3:30 Session Break

CRISPR FOR TUMOR MODELING, INTERNATIONAL INITIATIVES

3:40 Chairperson’s Remarks

Monte Winslow, Ph.D., Assistant Professor, Genetics, Stanford University

3:45 Cancer Modeling with in vivo CRISPR/Cas9 Genome Editing

Monte Winslow, Ph.D., Assistant Professor, Genetics, Stanford University

Conventional genetically engineered mouse models of human cancer have been instrumental in our understanding of all aspects of cancer development. However, these models are much too labor-intensive, expensive, and slow to perform the extensive molecular analyses needed to adequately comprehend this disease. I will discuss our ongoing work to employ CRISPR/Cas9-mediated genome editing to generate cancer models and illuminate gene function during cancer progression within the natural in vivo setting.

4:15 Tailored Pre-Clinical Models with CRISPR-Based Genome Editing

Lukas Edward Dow, Assistant Professor, Medicine, Weill Cornell Medicine

CRISPR/Cas9 genome editing has changed the way we design and execute in vivo experiments. We are using CRISPR-based genome editing in stem cells and in adult mice to generate tailored pre-clinical models. This allows both a deeper understanding of the genetic underpinnings of cancer progression and provides a platform to interrogate new therapeutic strategies in specific genetic contexts, which is key for realizing the potential of personalized medicine.

4:45 The Human Cancer Model Initiative

Louis M. Staudt, M.D., Ph.D., Director, Center for Cancer Genomics, Co-Chief, Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health

The Human Cancer Model Initiative (HCMI) aims to generate 1000 new cancer cell lines directly from patient biopsy material using a variety of technologies, including organoids and conditionally reprogrammed cells. Each cell line will be genomically characterized and clinical diagnostic and therapeutic data will be gathered from the participating patients. The new cell lines and their associated data will be made available to the research community to promote a deeper understanding of cancer and its response or resistance to therapy.

5:15 Close of Conference Program

SOURCE

http://www.triconference.com/Pre-Clinical-Oncology-Models/

From: Marina Filshtinsky <pete@healthtech.com>

Date: Wednesday, December 14, 2016 at 10:00 AM

To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu>

Subject: Combination Immunotherapy Design Models

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Researchers at Dana-Farber/Boston Children’s: Differences in wiring of “exhausted” and effective T cells indicate possible gene-editing targets, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair

Researchers at Dana-Farber/Boston Children’s: Differences in wiring of “exhausted” and effective T cells indicate possible gene-editing targets

Reporter: Aviva Lev-Ari, PhD, RN

 

“Exhausted T cells display a variety of functional defects,” says Nicholas Haining, MD, of Dana-Farber/Boston Children’s, senior author of the new paper. “They are paralyzed and don’t have the fire-power to destroy cancer or virally-infected cells. For us, the question in this study was, do exhausted cells represent a distinct type of T cell or are they merely a ‘groggy’ version of functional T cells?”

With chronically infected mice as their model, the researchers used a new technology called ATAC-seq to map the regulatory regions of the genome – the sections of DNA involved in switching genes on and off – in the animals’ exhausted and functional CD8+ T cells. (CD8+ T cells are programmed to identify and eliminate cancerous and infected cells.)

“We found the landscape of regulatory regions to be fundamentally different in exhausted and functional T cells,” Haining says. “There were thousands of instances where a regulatory region appeared in exhausted T cells but not in their functional counterparts, and vice versa. This tells us that the two types of cells use very different wiring diagrams to control their gene activity.”

The researchers then tested whether removing a regulatory stretch of DNA that spurs the production of PD-1 would drive down expression of the protein. Using CRISPR/Cas9 technology, they snipped out that region and indeed, PD-1 expression dropped.

SOURCE

http://www.danafarberbostonchildrens.org/news/research-into-basic-workings-of-immune-system-and-cancer.aspx

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LIVE 9/21 3:20PM to 6:40PM KINASE INHIBITORS FOR CANCER IMMUNOTHERAPY COMBINATIONS & KINASE INHIBITORS FOR AUTOIMMUNE AND INFLAMMATORY DISEASES at CHI’s 14th  Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

http://www.discoveryontarget.com/

http://www.discoveryontarget.com/crispr-therapies/

Leaders in Pharmaceutical Business Intelligence (LPBI) Group is a

Media Partner of CHI for CHI’s 14th Annual Discovery on Target taking place September 19 – 22, 2016 in Boston.

In Attendance, streaming LIVE using Social Media

Aviva Lev-Ari, PhD, RN

Editor-in-Chief

http://pharmaceuticalintelligence.com

#BostonDOT16

@BostonDOT

 

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

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

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:
  • Class I IA IB
  • KA2237: DUal PI3K – p110beta/delta-selective inhibitor: CTL, Treg, p1 106 T sell response
  • Molecular signature in the tumor
  • WT p110delta, WT 1 10beta+, Mutant p1 10Beta+, PTEN-null, Ibrutinib-resistance, Growth inhibition; suppression of metastesis (p110beta
  • small molecule combination agents: potential aided by selectivity over p110
  • KA2237: clinical Pi3K-p110beta/delta Inhibitor- ATP -comtetitive
  • Doxorubicin -cytotoxic control
  • KA2237 superior activity to Idelasib
  • KA2237 – suppression of micro-metastasis in 4T1 synergenic model
  • Tumor Growth inhibition Pre-Surgery
  • Tumor Re-Growth Inhibition Post-Surgery
  • metastasis post surgery
  • Tumor-free mice post-surgery
  • CHemistry: IHC -pAKT; IHC – FOxp3+
  • KA2237 inhibits HGF-stimulated 4T1 tumor
  • 2004 – Preclinical develpemnt PI3K is reported
  • 2006 First PI#K is enter Clinical Trials
  • Targeting p1110Beta (PIKeCB) mutations in cancer with KA2237
  • DIscovery of the mutations lead drug discovery
  • KA@@#&: Potential in treatment of B-Cell Lymphom AS IN TARGETING IBRUTINIB RESISTENCE
  • GROWTH INHIBITION IN HEMATOLOGICAL CANCERS TUMOE CELL LINE PANEL
  • KA2237 – differentiated from competing Pi3K is Superior efficacy cf. p110delta
  • Combination: Not histone deacetylase but a tubulin deacetylase – Hsp90 ans Hsp70
  • T cell exhausion: Tumor growth inhibition vs Suppression of lung metastasis
  • Tumor BiologyRationale vs Clinical Agents
  • Oncogenic mutants, solid tumor supression magrophage, combination PD-1, CTLA$
  • FDA -approved kinase inhibitors

Summary

  1. phase I clinical study commenced in pathients with B cell Lymphoma
  2. Potential for treatment of solid and hematological malignancies

4:35 InCELL Pulse: A Novel Cellular Target Engagement Assay Platform for Drug Discovery

Treiber_Daniel

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
  • ABL1 Tyrosine Kinase – dose response curve – allosteric Inhibitor
  • MTH1 Hydrolase: InCELL Pulseassay validated for multiple substrate-competitive inhibitors
  • Validated InCELL Pulse Assays for Diverse Kinases
  • Kinase targets; BRAF, MEC1

Summary

  1. validation across proteins

TTP Labtech4:50 Potential Application of Fluorescence Lifetime Assays to Enable Robust, Rapid Protein Binding Assays

Wylie_Paul

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)
  1. FRET/HTRF
  2. FP
  3. 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:
  1. protein – small molecule binding – CECR2
  2. protein – peptide binding: long and sholt lifetime
  3. Site-specific labelling vs Non-selective labelling
  4. Toolbox for PoC
  5. Detection reagents
  6. Further develop technology

5:05 Refreshment Break in the Exhibit Hall with Poster Viewing

 

6:40 End of Day

 

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Milestones in Physiology & Discoveries in Medicine and Genomics: Request for Book Review Writing on Amazon.com

physiology-cover-seriese-vol-3individualsaddlebrown-page2

Milestones in Physiology

Discoveries in Medicine, Genomics and Therapeutics

Patient-centric Perspective 

http://www.amazon.com/dp/B019VH97LU 

2015

 

 

Author, Curator and Editor

Larry H Bernstein, MD, FCAP

Chief Scientific Officer

Leaders in Pharmaceutical Business Intelligence

Larry.bernstein@gmail.com

Preface

Introduction 

Chapter 1: Evolution of the Foundation for Diagnostics and Pharmaceuticals Industries

1.1  Outline of Medical Discoveries between 1880 and 1980

1.2 The History of Infectious Diseases and Epidemiology in the late 19th and 20th Century

1.3 The Classification of Microbiota

1.4 Selected Contributions to Chemistry from 1880 to 1980

1.5 The Evolution of Clinical Chemistry in the 20th Century

1.6 Milestones in the Evolution of Diagnostics in the US HealthCare System: 1920s to Pre-Genomics

 

Chapter 2. The search for the evolution of function of proteins, enzymes and metal catalysts in life processes

2.1 The life and work of Allan Wilson
2.2  The  evolution of myoglobin and hemoglobin
2.3  More complexity in proteins evolution
2.4  Life on earth is traced to oxygen binding
2.5  The colors of life function
2.6  The colors of respiration and electron transport
2.7  Highlights of a green evolution

 

Chapter 3. Evolution of New Relationships in Neuroendocrine States
3.1 Pituitary endocrine axis
3.2 Thyroid function
3.3 Sex hormones
3.4 Adrenal Cortex
3.5 Pancreatic Islets
3.6 Parathyroids
3.7 Gastointestinal hormones
3.8 Endocrine action on midbrain
3.9 Neural activity regulating endocrine response

3.10 Genomic Promise for Neurodegenerative Diseases, Dementias, Autism Spectrum, Schizophrenia, and Serious Depression

 

Chapter 4.  Problems of the Circulation, Altitude, and Immunity

4.1 Innervation of Heart and Heart Rate
4.2 Action of hormones on the circulation
4.3 Allogeneic Transfusion Reactions
4.4 Graft-versus Host reaction
4.5 Unique problems of perinatal period
4.6. High altitude sickness
4.7 Deep water adaptation
4.8 Heart-Lung-and Kidney
4.9 Acute Lung Injury

4.10 Reconstruction of Life Processes requires both Genomics and Metabolomics to explain Phenotypes and Phylogenetics

 

Chapter 5. Problems of Diets and Lifestyle Changes

5.1 Anorexia nervosa
5.2 Voluntary and Involuntary S-insufficiency
5.3 Diarrheas – bacterial and nonbacterial
5.4 Gluten-free diets
5.5 Diet and cholesterol
5.6 Diet and Type 2 diabetes mellitus
5.7 Diet and exercise
5.8 Anxiety and quality of Life
5.9 Nutritional Supplements

 

Chapter 6. Advances in Genomics, Therapeutics and Pharmacogenomics

6.1 Natural Products Chemistry

6.2 The Challenge of Antimicrobial Resistance

6.3 Viruses, Vaccines and immunotherapy

6.4 Genomics and Metabolomics Advances in Cancer

6.5 Proteomics – Protein Interaction

6.6 Pharmacogenomics

6.7 Biomarker Guided Therapy

6.8 The Emergence of a Pharmaceutical Industry in the 20th Century: Diagnostics Industry and Drug Development in the Genomics Era: Mid 80s to Present

6.09 The Union of Biomarkers and Drug Development

6.10 Proteomics and Biomarker Discovery

6.11 Epigenomics and Companion Diagnostics

 

Chapter  7

Integration of Physiology, Genomics and Pharmacotherapy

7.1 Richard Lifton, MD, PhD of Yale University and Howard Hughes Medical Institute: Recipient of 2014 Breakthrough Prizes Awarded in Life Sciences for the Discovery of Genes and Biochemical Mechanisms that cause Hypertension

7.2 Calcium Cycling (ATPase Pump) in Cardiac Gene Therapy: Inhalable Gene Therapy for Pulmonary Arterial Hypertension and Percutaneous Intra-coronary Artery Infusion for Heart Failure: Contributions by Roger J. Hajjar, MD

7.3 Diagnostics and Biomarkers: Novel Genomics Industry Trends vs Present Market Conditions and Historical Scientific Leaders Memoirs

7.4 Synthetic Biology: On Advanced Genome Interpretation for Gene Variants and Pathways: What is the Genetic Base of Atherosclerosis and Loss of Arterial Elasticity with Aging

7.5 Diagnosing Diseases & Gene Therapy: Precision Genome Editing and Cost-effective microRNA Profiling

7.6 Imaging Biomarker for Arterial Stiffness: Pathways in Pharmacotherapy for Hypertension and Hypercholesterolemia Management

7.7 Neuroprotective Therapies: Pharmacogenomics vs Psychotropic drugs and Cholinesterase Inhibitors

7.8 Metabolite Identification Combining Genetic and Metabolic Information: Genetic association links unknown metabolites to functionally related genes

7.9 Preserved vs Reduced Ejection Fraction: Available and Needed Therapies

7.10 Biosimilars: Intellectual Property Creation and Protection by Pioneer and by

7.11 Demonstrate Biosimilarity: New FDA Biosimilar Guidelines

 

Chapter 7.  Biopharma Today

8.1 A Great University engaged in Drug Discovery: University of Pittsburgh

8.2 Introduction – The Evolution of Cancer Therapy and Cancer Research: How We Got Here?

8.3 Predicting Tumor Response, Progression, and Time to Recurrence

8.4 Targeting Untargetable Proto-Oncogenes

8.5 Innovation: Drug Discovery, Medical Devices and Digital Health

8.6 Cardiotoxicity and Cardiomyopathy Related to Drugs Adverse Effects

8.7 Nanotechnology and Ocular Drug Delivery: Part I

8.8 Transdermal drug delivery (TDD) system and nanotechnology: Part II

8.9 The Delicate Connection: IDO (Indolamine 2, 3 dehydrogenase) and Cancer Immunology

8.10 Natural Drug Target Discovery and Translational Medicine in Human Microbiome

8.11 From Genomics of Microorganisms to Translational Medicine

8.12 Confined Indolamine 2, 3 dioxygenase (IDO) Controls the Homeostasis of Immune Responses for Good and Bad

 

Chapter 9. BioPharma – Future Trends

9.1 Artificial Intelligence Versus the Scientist: Who Will Win?

9.2 The Vibrant Philly Biotech Scene: Focus on KannaLife Sciences and the Discipline and Potential of Pharmacognosy

9.3 The Vibrant Philly Biotech Scene: Focus on Computer-Aided Drug Design and Gfree Bio, LLC

9.4 Heroes in Medical Research: The Postdoctoral Fellow

9.5 NIH Considers Guidelines for CAR-T therapy: Report from Recombinant DNA Advisory Committee

9.6 1st Pitch Life Science- Philadelphia- What VCs Really Think of your Pitch

9.7 Multiple Lung Cancer Genomic Projects Suggest New Targets, Research Directions for Non-Small Cell Lung Cancer

9.8 Heroes in Medical Research: Green Fluorescent Protein and the Rough Road in Science

9.9 Issues in Personalized Medicine in Cancer: Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

9.10 The SCID Pig II: Researchers Develop Another SCID Pig, And Another Great Model For Cancer Research

Epilogue

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On its way for an IPO: mRNA platform, Moderna, Immune Oncology is recruiting 100 new Life Scientists in Cambridge, MA, 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)

On its way for an IPO: mRNA platform, Moderna, Immune Oncology is recruiting 100 new Life Scientists in Cambridge, MA

Curator: Aviva Lev-Ari, PhD, RN

 

Deals:

Moderna has now raised $1.9 billion from investors like AstraZeneca – 9% stack [AstraZeneca’s Pascal Soriot helped get that all started with a whopping $240 million upfront in its 2013 deal, which was tied to $180 million in milestones.], with another $230 million on the table from grants. In addition to the financing announcement this morning, Moderna is also unveiling a pact to develop a new Zika vaccine, with BARDA putting up $8 million to get the program started while offering an option on $117 million more to get through a successful development program.

Novel Strategy in Biotech:

in biotech. Instead of grabbing one or two new drugs and setting out to gather proof-of-concept data to help establish its scientific credibility, the company has harvested a huge windfall of cash and built a large organization before even entering the clinic. And it did that without turning to an IPO.

Pipeline include:

  • The deal with AstraZeneca covers new drugs for cardiovascular, metabolic and renal diseases as well as cancer.
  • partners filed a European application to start a Phase I study of AZD8601, an investigational mRNA-based therapy that encodes for vascular endothelial growth factor-A (VEGF-A)
  • Moderna CEO spelled out plans to get the first 6 new drugs in the clinic by the end of 2016.
  • The first human study was arranged for the infectious disease drug mRNA 1440, which began an early stage study in 2015.
  • Moderna built up a range of big preclinical partnerships.
  • CEO Bancel says the number of drugs in development has swelled to 11, with the first set of data slated to be released in 2017.
  • Moderna also plans to add about 10 drugs to the clinic by next summer,

 

SOURCES

UPDATED: Booming Moderna is raising $600M while ramping up manufacturing and clinical studies

$1.9B in: Moderna blueprints $100M facility, plans to double the pipeline after a $474M megaround

http://endpts.com/moderna-blueprints-100m-facility-plans-to-double-the-pipeline-after-a-474m-megaround/?utm_source=Sailthru&utm_medium=email&utm_campaign=Issue:%202016-09-07%20BioPharma%20Dive%20%5Bissue:7155%5D&utm_term=BioPharma%20Dive

 

Moderna Therapeutics Deal with Merck: Are Personalized Vaccines here?

Curator & Reporter: Stephen J. Williams, PhD – August 11, 2016

https://pharmaceuticalintelligence.com/2016/08/11/moderna-therapeutics-deal-with-merck-are-personalized-vaccines-here/

 

at #JPM16 – Moderna Therapeutics turns away an extra $200 million: with AstraZeneca (collaboration) & with Merck ($100 million investment)

Reporter: Aviva Lev-Ari, PhD, RN – January 13, 2016

https://pharmaceuticalintelligence.com/2016/01/13/at-jpm16-moderna-therapeutics-turns-away-an-extra-200-million-with-astrazeneca-collaboration-with-merck-100-million-investment/

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Plenary Keynotes TUESDAY | AUGUST 30 4:00PM – 5:30PM @CHI’s IMMUNO-ONCOLOGY SUMMIT, Marriott Long Wharf Hotel in Boston

http://www.immuno-oncologysummit.com/uploadedFiles/Immuno_Oncology_Summit/Agenda/16/2016-The-Immuno-Oncology-Summit-Brochure.pdf

Leaders in Pharmaceutical Business intelligence (LPBI) Group

covers in Real Time the IMMUNO-ONCOLOGY SUMMIT using Social Media

Aviva Lev-Ari, PhD, RN,

Founder, LPBI Group & Editor-in-Chief

http://pharmaceuticalintelligence.com

Streaming LIVE @ Marriott Long Wharf Hotel in Boston

Curation of Scientific Content @Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

Plenary Keynotes TUESDAY | AUGUST 30

4:00 Personalized, NeoantigenBased Immunotherapy

Edward Fritsch, Ph.D., Chief Technology Officer, Neon Therapeutics, Inc.

Multiple lines of evidence have demonstrated the critical role that Neoantigens have in the immune response to cancer and the availability of next-generation sequencing to identify personal, neoantigen-creating mutations has opened the door to directly enhance the power and breadth of host immunity to overcome this deadly disease.

  • Yervoy approved for melanoma ipilimumab
  • ipilimumab and Nivolumab combination
  • Cancer Vaccine for infections disease – PREVENTIVE NOT TREATMENT HPV
  • CLASSES OF TUMOR ANTIGENS CT many tumors: Methylation pattern
  • Selectively expressed: Melanomas
  • Over expressed antigens – some tumor

Personalized

Scientific Advance I:

  • Tumor DNA sequences: Kras, PIK3CA, FBXW7
  • Somatic mutations potential to generate neoantigens
  • Neoantigents: Native antigens (mage) vs NEOANTIGENS 0 tumor specific Antigens

Scientific Advance II:

  • Ipilimumab
  • anti PL-1
  • single neoantigen reactive CD4+ T cell clone mediates tumor rejection in adoptive therapy

A Neoantigen Vaccine – The Opportunity

  • T -cell capable of tumor infiltration

DFCI/Broad Institute: Tumor procurement, Target selection Personal caccine manufacturing Vaccine administration

  • Identify targets: accuracy, epitope features multipla epitopes
  • Personalised GMP manufacturing – 20 long peptide regulatory acceptance, time and cost

FDA approval:

  • High risk Melanoma (IIIB/C; IVM1a)
  • cancer with documented immune responsiveness
  • 12 patients enrolled – Vaccine prepared for 8, 6 dosed
  • Immunological Responses: DeNovo – detectable directly ex-vivo: ICS Primarily CD4+ Poly-functional
  • CD8+ Responses – 1 Pre-stim: Pre vs 16 weeks after
  • Immunizing peptide (IMP)

NEON Therapeutics, Inc.:

  • Personalized Neoantigens vs Shared Neoantigens
  • Vaccines vs T-Cells
  • Moving into Advanced Metastatic disease — COmbination Checkpoint blockade
  1. immediate response
  2. synergies by combination therapy
  3. Neoantigets

 

4:30 Merck Sasso 

Emerging Innate Immune Targets for enhancing 

  • Additional component of the Immune system
  1. Combination of Checkpoint inhibitors – Targeting functionality of T-Cells
  2. Standard of care moving to Goal State by Check point blocade
  3. Monoclonal antibodies blocking PD-1 and CTLA4
  4. Immunogenic cell death
  5. Effectors that promote cross presentation of antigens
  6. recruitment of T cells
  7. reversing the pathways driving a repressing tumor environment

MERCK – Keytruda

Study with Dinociclib – Immunogenic Cell Death – induced by Radiation, combined with CTLA4  – median response overall survival – 20 month

MORE OPTIONS:

  • OV therapies – enhance tumor Combination:
  1. TVEC +Keytruda – disease control 68%
  2. CAVATAK +Keytruda
  3. CAVATAK + pembrolizumab
  • TLR agonism
  1. Two Phase I in melanoma
  2. TC-1 Anti-IL-10 MK-1966 induced by SD-101
  3. Innate Immune Triggers against Pathogens and Damaged selt

 

  • STING agonism
  1. DNA Sensing cGAS/STING – another approach to viral mechanism for Cancer
  2. Non-nuclear dsDNA is a ‘danger
  3. DMXAA – can’t stimulate HUman only moth STING pathway
  • RNA – RIG like receptors –
  1. leveraging anti-viral Mechanisms to eliminate Tumors 
  2. Activation of RIG-like receptor

SHARED MECHANISMS: INFgamma, TNF alpha

  • TLR9
  • RIG-I
  • STING
  • Oncolytic viruses

Summary

  • Merck – Keytruda – will be combined with different strategies to leverage innate immunity in combination with traditional T cell approaches
  • expend beyond T cell
  • limitation of checkpoint blockade therapies can be due to aberrant T cell localization and the suppressive microenvironment of the tumor

 

5:00 Reading Tea Leaves: The Dilemma of Prediction and Prognosis in Immunotherapy

Morganna Freeman, D.O., Associate Director, Melanoma & Cutaneous Oncology Program, The Angeles Clinic and Research Institute

With the rapid expansion of immunotherapeutics in oncology, scientifically significant advances have been made with both the depth and duration of antitumor responses. However, not all patients benefit, or quickly relapse, thus much scientific inquiry has been devoted to appropriate patient selection and how such obstacles might be overcome. While more is known about potential biomarkers, accurate prognostication persists as a knowledge gap, and efforts to bridge it will be discussed here.

  • CD8+ T cell – Tumor — Imune Priming — CHeckpoint Inhibition  CD8+
  • execution is complex
  • predict who will benefit from what treatment
  • Patient and Tumor Profiling
  1. Tcell Prining: TILs, PDL1, IDO, Tcell anergy Treg- Ovarian cancer: CD8+ TILs
  2. microenvironment – immuno-scoring
  3. Immune competence -flow, biomarkers CyTOF – Mass Flow Cytometry
  4. mutation burden – chemo + Vaccine – longer time to progression
  5. mictoenvironment – Tumor Profiling
  6. tumor adaptation – serum ULBP2 NKligand – independent predictor of prognosis in Stage I-III
  7. Predictive Genomic Analysis – Immune SIgnature of Response to CHeckPoint Blockage – liquid biopsy
  8. Neoantigens: Allows analysis of T cell
  9. Multispectral imaging – Immune cell phenotypes visualized and quantified simultaneously – improve TME immune suppression, TIL harvest potential, location of the T celle impact prognosis
  10. Immune monitoring: Pre intervation vs Post Intervention
  11. Tumor heterogeneity: Cancer progression and metastasis, clinical resistance
  12. Intervention Assessments: Tissue marker of Blood which one is the best to use
  13. Cloonal Tracking: Quantifying Tumor
  14. ImmunoPET – anti CD8 immune-PET sensitive of tumor infiltrating
  15. Transcriptomic Signature: IPRES (innate PD-1 resistence) can be induced by MAPKi, furthe account for poor response – due to immune depletion
  16. Tests and immuno-toxicity, Translation to POC
  17. Data assimilation
  18. Ideal BioMarkers related to Mechanism of Action – multivariant scoring systems
  19. Gender differences, BMI differences, Age difference  — IN RESPONDING TO IMMUNOTHERAPY IN IMMUNO ONCOLOGY

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1:50 – 5:00 8/30 CONSIDERATIONS IN DESIGNING IMMUNOTHERAPY COMBINATIONS @IMMUNO-ONCOLOGY SUMMIT – AUGUST 30-31, 2016 | Marriott Long Wharf Hotel – Boston, MA

http://www.immuno-oncologysummit.com/uploadedFiles/Immuno_Oncology_Summit/Agenda/16/2016-The-Immuno-Oncology-Summit-Brochure.pdf

 

Leaders in Pharmaceutical Business intelligence (LPBI) Group covers in Real Time the IMMUNO-ONCOLOGY SUMMIT using Social Media

Aviva Lev-Ari, PhD, RN,

Founder, LPBI Group & Editor-in-Chief

http://pharmaceuticalintelligence.com

I attended a parallel session @ Marriott Long Wharf Hotel in Boston

Curation of Scientific Content @Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

1:50 – 5:00 8/30 CONSIDERATIONS IN DESIGNING IMMUNOTHERAPY COMBINATIONS

1:50 Rational Combination Immunotherapy Development Stratified by the Presence or Absence of the T Cell-Inflamed Tumor Microenvironment

Jason J. Luke, M.D., FACP, Assistant Professor, Medicine, Melanoma and Developmental Therapeutics Clinics, University of Chicago Medical Center Tumors can be categorized by gene expression based on the presence or absence of a T cell-inflamed tumor microenvironment, and this correlates with either response or lack of response to immune-checkpoint blockade. Categorization of these biologically distinct subsets suggests rational immunotherapy combinations directed toward either a T cell-inflamed or non-T cell-inflamed tumor microenvironment. This approach also facilitates a framework for interrogating molecular mechanism of immune exclusion mediating non-inflamed tumors.

2:20 Programming DCs in situ for Cancer Vaccination

Omar Ali, Ph.D., Staff Scientist, Wyss Institute for Biologically Inspired Engineering, Harvard University The innate components required to mediate effective vaccination against weak tumor-associated antigens remain unclear. We utilize three-dimensional and macroporous, polymeric cancer vaccines incorporating different classes of TLR adjuvants to induce tumor regression and protection in order to identify dendritic cell subsets and cytokines critical to this efficacy. Vaccine-induced tumor regression correlated to local CD8(+) DC and pDC numbers, IL-12, and G-CSF concentrations regardless of the incorporated adjuvant.

2:50 Sponsored Presentations (Opportunities Available)

3:20 Refreshment Break in the Exhibit Hall with Poster Viewing

4:00 PLENARY KEYNOTE SESSION See Keynotes for details.

4:00 A New Era of Personalized Therapy: Using Tumor Neoantigens to Unlock the Immune System

Matthew J. Goldstein, M.D., Ph.D., Director, Translational Medicine, Neon Therapeutics, Inc. Neon Therapeutics, Inc. launched in 2015 to focus on advancing neoantigen biology to improve cancer patient care. A neoantigen-based product engine will allow Neon to develop further treatment modalities including next-generation vaccines and T cell therapies targeting both personalized as well as shared neoantigens. The company’s first trial will launch later this year investigating the combination of a personalized, vaccine with nivolumab in advanced Melanoma, NSCLC, and Bladder Cancer.

4:30 Emerging Innate Immune Targets for Enhancing Adaptive Anti-Tumor Responses

Michael Rosenzweig, Ph.D., Executive Director, Biology-Discovery, IMR Early Discovery, Merck Research Laboratories Novel cancer immunotherapies targeting T cell checkpoint proteins have emerged as powerful tools to induce profound, durable regression and remission of many types of cancer. Despite these advances, multiple studies have demonstrated that not all patients respond to these therapies, and the ability to predict which patients may respond is limited. Harnessing the innate immune system to augment the adaptive anti-tumor response represents an attractive target for therapy, which has the potential to enhance both the percentage and rate of response to checkpoint blockade.

5:00 Reading Tea Leaves: The Dilemma of Prediction and Prognosis in Immunotherapy

Morganna Freeman, D.O., Associate Director, Melanoma & Cutaneous Oncology Program, The Angeles Clinic and Research Institute With the rapid expansion of immunotherapeutics in oncology, scientifically significant advances have been made with both the depth and duration of antitumor responses. However, not all patients benefit, or quickly relapse, thus much scientific inquiry has been devoted to appropriate patient selection and how such obstacles might be overcome. While more is known about potential biomarkers, accurate prognostication persists as a knowledge gap, and efforts to bridge it will be discussed here.

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1:15 -2:00 8/30 SELECTING PD-L1/PD-1 IMMUNOTHERAPY COMBINATIONS: Rational Combination Cancer Immunotherapy @IMMUNO-ONCOLOGY SUMMIT – AUGUST 30-31, 2016 | Marriott Long Wharf Hotel – Boston, MA

http://www.immuno-oncologysummit.com/uploadedFiles/Immuno_Oncology_Summit/Agenda/16/2016-The-Immuno-Oncology-Summit-Brochure.pdf

 

Leaders in Pharmaceutical Business intelligence (LPBI) Group covers in Real Time the IMMUNO-ONCOLOGY SUMMIT using Social Media

Aviva Lev-Ari, PhD, RN,

Founder, LPBI Group & Editor-in-Chief

http://pharmaceuticalintelligence.com

I attended a parallel session @ Marriott Long Wharf Hotel in Boston

Curation of Scientific Content @Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

1:15 -2:00 8/30 SELECTING PD-L1/PD-1 IMMUNOTHERAPY COMBINATIONS: Rational Combination Cancer Immunotherapy

1:15 Chairperson’s Opening Remarks

Arthur M. Krieg, M.D. CEO, Checkmate Pharmaceuticals

1:20 KEYNOTE PRESENTATION: SELECTING PD-L1/PD-1 IMMUNOTHERAPY COMBINATIONS

Edward Cha, M.D., Ph.D., Associate Medical Director, Cancer Immunotherapy Franchise, Genentech Although targeted inhibition of the PD-L1 pathway enhances anti-tumor immunity, not all patients achieve benefit from single-agent immunotherapies. Determining and prioritizing effective combinations will rely on further understanding of the mechanisms that drive immune resistance across indications and individual patients.

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1:15 – 3:15 8/30 TUMOR NEOANTIGENS FOR PERSONALIZED IMMUNOTHERAPY @IMMUNO-ONCOLOGY SUMMIT – AUGUST 30-31, 2016 | Marriott Long Wharf Hotel – Boston, MA

http://www.immuno-oncologysummit.com/uploadedFiles/Immuno_Oncology_Summit/Agenda/16/2016-The-Immuno-Oncology-Summit-Brochure.pdf

 

 

Leaders in Pharmaceutical Business intelligence (LPBI) Group covers in Real Time the IMMUNO-ONCOLOGY SUMMIT using Social Media

Aviva Lev-Ari, PhD, RN,

Founder, LPBI Group & Editor-in-Chief

http://pharmaceuticalintelligence.com

Streaming LIVE @ Marriott Long Wharf Hotel in Boston

Curation of Scientific Content @Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

 

1:15 – 5:00 8/30 TUMOR NEOANTIGENS FOR PERSONALIZED IMMUNOTHERAPY

1:15 Chairperson’s Opening Remarks

Pramod K. Srivastava, M.D., Ph.D., Professor, Immunology and Medicine, Director, Carole and Ray Neag Comprehensive Cancer Center, University of Connecticut School of Medicine

  • Increased cancer incidence in immunosuppred transplant patients 25 times more risk for cancer
  1. Tumor immunity – if you immunize a mouth, tumor will not occur or regress or not progress
  2. Tumor are antigenically distinct
  3. errors in replication cand tumor sell divide
  4. identical normal cells sameness to individuality Normal >> Tumor >> Neoepitopes few Neoepitope becomes mutant
  5. 199502006Reponse to Mage correlate with better prognosis — all clinical trials FAILED
  6. Immune response to Neoepitopes – not clear cut

1:20 Basics of Personalized Immunotherapy: What Is a Good Antigen?

Pramod K. Srivastava, M.D., Ph.D., Professor, Immunology and Medicine, Director, Carole and Ray Neag Comprehensive Cancer Center, University of Connecticut School of Medicine The definition of host-protective immunogenic antigen(s) of any human cancer of non-viral origin is still an enigma. New approaches in cancer genomics and bioinformatics are now offering a plethora of candidate antigens, whose role in cancer immunity, and specifically in host-protective cancer immunity, is under extensive testing. Outlines of some broad rules are emerging and some of these shall be discussed.

  • Likelihood of being proteasomally processed MHC I binding affinity
  • 1994 affinity threshold 50nM
  • equivalent : Affinity -. difference self .. checkpoint blockade
  • Testing the tumor-protective immunogenicity of neo-epitopes: Tumor
  • Score of binding of mutant Is there tolerance to these – difference from self is a predictor of affinity – DAI score of difference
  • CD8- dependence of neo-epitope-elicited cancer immunity
  • Differential of Testing the tumor-protective immunogecity of neo-epitopes
  • Other tumor models: tumor rejection and low affinity
  • Immunological microenvironment
  • strong affinity in combination with CTLA4 – Tumore rejection by some epitopes not by others
  • CTLA4 blockade – CHeckpoint or T re inhibition
  • Strong influence of T regs on the neoepitope repertoire of a tumor
  • Immune response to neoepitope may: MHC I – peptide affinity, minor player in definition of effectiveness of neoepitopes
  • Epithelial ovarian cancer Stage III/IV and T cell response – Phase I

Questions

  • mutated epitope in melanoma – MHC 1 is important
  • CD4 affinity

 

1:50 Novel Antibodies against Immunogenic Neoantigens

Philip M. Arlen, M.D., President & CEO, Precision Biologics, Inc.

Two novel antibodies, NEO-102 (ensituximab) and NEO- 201, were developed from an allogeneic colorectal cancer vaccine that had previously shown activity in patients with metastatic colorectal cancer This vaccine was derived from an immunogenic component of the cell membrane from pooled surgical specimens from both primary and metastatic colon cancer. Patients who benefited from the vaccine in the prior clinical trial produced and sustained high levels of serum IgG against the vaccine. Several thousand candidate antibodies were screened against this vaccine and NEO- 102 and NEO-201 were candidates that demonstrated the ability to bind to colon cancer vs. normal tissue.

  • solid tumor studies: tumor specific monoclonal
  • Only Human Derived & Human Tested Pltform to Create Novel Therapeutics
  1. patient-derived tumor samples –>> prepararion of cancer vaccince –> anti-cancer vaccine – molecular weight – are these components immunogenic –.. Production of anti-cancer-specific monoclonal antibodies –.. testing and development of mAbs –.. Hollinshead’s clinical testing of anti-cancer vaccines
  2. Human screening to select active vaccine
  3. Mount IgG response to the Vaccine — colorectal cancer
  4. immune response – 10,00 – 3 sensicitivy
  5. NEO -102 – Pancreatic cancer – novel monoclonal antibody MUCSAC – no Ensituximab binding –>> Novel mucin trget
  6. anti tumor activity of a novel mAb NEO-102 optimize for regorgnition of antigens
  7. antibody dependent cell cytotoxicity –
  8. Tumor-specific ANtigen (TSA)
  9. Phase I and Phase II – monotherapy completed
  10. Phase 3 Regorafanib doses: 1.5 mg/Kg
  11. 3 mg/Kg – hyperbilirubinemia – Liver mestastasis Patients, hemolysis, anemia, N&V
  12. Affinity correlates with immune activity
  13. 30% of Panceratic Cancer pt receive FOLFIRINX as front line therapy, and Gemcitabine/Abraxane as 2nd line.
  14. New Trial: Gemcitabine/ .. NabPaxital –.. NEO-102
  15. NEO-201 (h16C3) mAb – CEACAM-5, CEACAM-6

Biological way as Novel Immunotherapy

2:20 PD-1 Blockade in Tumors with Mismatch-Repair Deficiency

Luis Alberto Diaz, M.D., Associate Professor, Oncology, Johns Hopkins Sidney Kimmel Comprehensive Cancer Center

Somatic mutations have the potential to encode “non-self” immunogenic antigens. Tumors with a large number of somatic mutations due to mismatch-repair defects appear to be highly susceptible to immune checkpoint blockade. This presentation will summarize the clinical and genomic data of using mutations as neoantigens.

  • Mismatch repair tumor – colon cancer – genetic and Epigenetic defects in mismatch repair 15% carcinomas across all stages 
  • mutagen associated tumor
  • sporadic solid tumors (colon cancer)
  • pediatric tumors
  • liquid tumors

Background

  • Tx of tumor
  • Colorectal cancers vs Non-Colorectal Cancers
  • Cohort: A, B, C Autoimmune events

Biochemical Response (CEA): Merck Kyrdura,, single agent

  1. MMR-proficient CRC – low tumor burden – 12 patients 
  2. MMR-deficient CRC – HIGH Tumor burden – 12 patients
  3. % change from baseline

Summary

% change from Baseline = Mismatch in genomic vs Histology independence

Mutation Burden va Response to PD-1 Blockade

  • Mutations per Genome vs % Objective Response Rate 

Future direction

  • Markers in genomics not tissue origin
  • Molecular etiology of primary and secondary resistance in MRD tumors with PD-1 blockade
  • kidney cancer non-Hodgkis Lynphona – low tumor burden: mismatch mutation burden,  virus
  • Melanoma & Lunf Cancers: Mutagen Associated tumors

 

2:50 In situ Vaccination for Lymphoma

Joshua Brody, M.D., Director, Lymphoma Immunotherapy Program, Icahn School of Medicine at Mount Sinai

Prior ex vivo combinations of dendritic cells (DC) with tumor antigens have yielded immunologic and clinical responses. Intratumoral immunomodulation may bypass the need for ex vivo production of vaccine. In situ vaccination combines: intratumoral Flt3L to recruit DC, low dose radiotherapy to load DC with tumor antigens, and intratumoral TLR agonist to activate tumor-antigen-loaded DC. Preliminary results demonstrate DC recruitment and activation, systemic tumor regressions, and induction of neoantigen specific CD8 T cell responses after vaccination.

  • TLR9a-based insitu vaccine – convert tumor into vaccine-manufacturing facility
  • B cell lymphona – Keppa expression treated by CpG – rediation
  • induction antitumor immunity by anti-tumor T-cells
  • CD8 vs IFNgamma
  • CD137 vs CD 45RO – memory cells: pre and post
  • Flt3L-primed in situ vaccine on dendritic cells + poly-IC – vaccine activate T-cells
  • 60 patients
  1. Pre-rx, Pre-vaccine
  2. post Flt3L Post- Vaccine
  3. post-poly-ICLC (agonist)

Flt3L immune repertoire effects with CyTOF – pre-Flt3L

  • In site vaccine: cellular and molecular Mechanism
  • T cells, Macrophages, Ly6chi, mono, Dendritic Cells
  • pIC +antiPD1

Is there a Better AIXS than PD/PD-L1?

  • YES – Just EGFP Dealth Inducing CD8 T cells = JEDI
  • YES  – Targeted (CRISPR) approach – 600 genes on Receptor “3”
  • CRISPR discovers PD-L1 spiked in with preferential – Edit and induce genes: Library of 600 genes – PD1 is in the library
  • GFP vs MHC-1 vs Jedi T cells
  • Kill-able lymphoma vs resistant lymphoma
  • more Dendritic cella with intratumoral than systemic Flt3L <<– has highest % of living cells

3:20 Refreshment Break in the Exhibit Hall with Poster Viewing

4:00 PLENARY KEYNOTE SESSION See Keynotes for details.

4:00 A New Era of Personalized Therapy: Using Tumor Neoantigens to Unlock the Immune System

Matthew J. Goldstein, M.D., Ph.D., Director, Translational Medicine, Neon Therapeutics, Inc. Neon Therapeutics, Inc. launched in 2015 to focus on advancing neoantigen biology to improve cancer patient care. A neoantigen-based product engine will allow Neon to develop further treatment modalities including next-generation vaccines and T cell therapies targeting both personalized as well as shared neoantigens. The company’s first trial will launch later this year investigating the combination of a personalized, vaccine with nivolumab in advanced Melanoma, NSCLC, and Bladder Cancer.

4:30 Emerging Innate Immune Targets for Enhancing Adaptive Anti-Tumor Responses

Michael Rosenzweig, Ph.D., Executive Director, Biology-Discovery, IMR Early Discovery, Merck Research Laboratories Novel cancer immunotherapies targeting T cell checkpoint proteins have emerged as powerful tools to induce profound, durable regression and remission of many types of cancer. Despite these advances, multiple studies have demonstrated that not all patients respond to these therapies, and the ability to predict which patients may respond is limited. Harnessing the innate immune system to augment the adaptive anti-tumor response represents an attractive target for therapy, which has the potential to enhance both the percentage and rate of response to checkpoint blockade.

5:00 Reading Tea Leaves: The Dilemma of Prediction and Prognosis in Immunotherapy

Morganna Freeman, D.O., Associate Director, Melanoma & Cutaneous Oncology Program, The Angeles Clinic and Research Institute With the rapid expansion of immunotherapeutics in oncology, scientifically significant advances have been made with both the depth and duration of antitumor responses. However, not all patients benefit, or quickly relapse, thus much scientific inquiry has been devoted to appropriate patient selection and how such obstacles might be overcome. While more is known about potential biomarkers, accurate prognostication persists as a knowledge gap, and efforts to bridge it will be discussed here.

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