Advancing Precision Cancer Medicine: Novel Markers, Tests, Trials, - - PowerPoint PPT Presentation

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Advancing Precision Cancer Medicine: Novel Markers, Tests, Trials, - - PowerPoint PPT Presentation

Advancing Precision Cancer Medicine: Novel Markers, Tests, Trials, and Biology Sameek Roychowdhury, MD, PhD The Ohio State University Comprehensive Cancer Center May 18, 2018 James Cancer Hospital Disclosure Information I have the following


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Advancing Precision Cancer Medicine: Novel Markers, Tests, Trials, and Biology

Sameek Roychowdhury, MD, PhD The Ohio State University Comprehensive Cancer Center James Cancer Hospital May 18, 2018

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Disclosure Information

I have the following financial relationships to disclose:

Stockholder in: Johnson and Johnson Advisory Board: AbbVie, Incyte Honoraria: IDT DNA technologies

I will not discuss off label use in my presentation.

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Patients Development of Novel Tests Clinical Trials with Novel Therapies Discovery of Markers

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1) What is the right drug for our patient?

Precision Cancer Care

2) How can we improve that therapy?

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  • Precision cancer medicine
  • Gene fusions -> Targeted therapies (FGFR)
  • Microsatellite instability -> Immunotherapy
  • Data sharing networks

Outline and Goals

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Next Generation Sequencing Technology Enables Rapid Assessment of Cancer Genomes

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How do we apply and bring genomic sequencing strategies and bioinformatics to patient care?

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November 2011

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MO_1036: Cholangiocarcinoma

March 2012: 34 year old woman with newly diagnosed metastatic cholangiocarcinoma. Started therapy in a clinical trial with continuous infusion 5-FU, fixed dose rate gemcitabine, and cisplatin. May 2012: Liver biopsy

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Fibroblast Growth Factor Receptor (FGFR): A New Target for Therapy

Wu et al, Cancer Discovery, 2013

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FGFR: Multiple cancer types

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One size fits all Genomics

Genomics is Changing Clinical Trials

Roychowdhury and Chinnaiyan, Ann Rev Genomics and Human Genetics, 2014

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  • Who else has the marker?
  • How do we leverage big data for Patients?
  • How do we diagnose it across different

cancer types?

  • What novel therapies can we offer them?

FGFR: New questions

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Our Team Approach

Genomics Computational Biology Molecular Diagnostics

Novel Targets/Resis tance Autopsy and Heterogeneity Rare Cancers Immunology and Genomics

Basket Clinical Trials

Patient Therapy Response Rational combinations Resistance Gene(s) Marker(s)

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Tumor Biopsy Pathology Library Prep(s) Sequence Bioinform atics Analysis

CLIA-Cancer Genomics Laboratory

Novel Molecular Diagnostic Tests

DNA & RNA Qty QC Review and Report

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RNAseq to Detect Gene Fusions

Maher et al., PNAS 2009

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Gene A Gene B

Advantages Disadvantages

  • Unbiased (no knowledge of

breakpoint/partner gene required)

  • Novel fusion discovery
  • Gene expression information
  • Complex (but focused) data

analysis

  • Limited by genes on panel

RNA sequencing to detect gene fusions

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Spanning Actionable RNA Kinase Fusions [OSU-SpARKFuse]

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Reeser et al, Journal of Molecular Diagnostics, 2017

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Gene List

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Microscopy

1980s 1990s 2000s 2010s 1970s 1960s 1900s

Immunohistochemistry Karyotype PCR FISH Sanger sequencing Microarray

Genomics Closes the Gap from Discovery to Patients

Next Generation sequencing

BCR-ABL (Leukemia) 1960 IMATINIB 2001 BRAF (Melanoma) 2002 VEMURAFENIB 2010 ALK (Lung) 2007 CRIZOTINIB 2010 FGFR and Trials 2013 2015

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1) Ponatinib for Any Cancer with FGFR gene alterations 2) BGJ398 for cholangiocarcinoma with FGFR gene alterations

Three FGFR inhibitor trials for patients with activating FGFR gene alterations

3) INCB054828 for Any Cancer with FGFR gene alterations

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Unselected Patients with Cancer

Genomic Targets FGFR Pre-tx Biopsy Treatment Post-PD Biopsy

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Baseline 1/2018 End of Cycle 2

Clinical response to FGFR inhibitor in patient with FGFR2 fusion-positive metastatic cholangiocarcinoma

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Intratumor heterogeneity

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Rapid Research Autopsy

Informed Consent Transport to Morgue Return to Funeral Home Autopsy Tissue Procurement Genomics

Clinical Research Team Autopsy Team Tissue Procurement Team Hui-Zi Chen, MD, PhD Melanie Krook, PhD Julie Reeser, PhD Michele Wing, PhD,FNP Patricia Allenby, MD Jen Sachire Jakob Durakovic Kelly Hamilton

  • Tumor Heterogeneity
  • Drug Resistance
  • Patient Derived Xenografts

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Acquired Resistance to INCB54828

OSU-15241: INCB54828 FOLFOX Gem/Cis

  • Aug. 2016

Tumor Bx

  • Oct. 2016
  • Apr. 2017

Death & Autopsy

  • Mar. 2017

Tumor Bx

  • Jan. 2017

FGFR2 N549H

Targeted Seq. 24

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  • Novel FGFR fusions
  • 3 FGFR inhibitor Trials
  • Acquired Resistance
  • Research Autopsy
  • Tumor Heterogeneity in Cholangiocarcinoma

Melanie Krook, PhD

Postdoctoral Fellow Cancer Biology Melanie is studying mechanisms of resistance to FGFR inhibitors and how to

  • vercome this

resistance.

Hui-Zi Chen, MD, PhD

Medical Oncology Fellow Medical Oncology Hui-Zi is treating patients with FGFR inhibitors on trial and leading research autopsy

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Summary: Patients teaching us about gene fusions

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  • Precision cancer medicine
  • Gene fusions -> Targeted therapies (FGFR)
  • Microsatellite instability -> Immunotherapy
  • Data sharing networks

Outline and Goals

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7/25/2016 9/12/2016 10/28/2016

Rhonda Ball

  • Metastatic adenocarcinoma of

unknown primary, summer of 2015.

  • Radiation, chemotherapy, surgery
  • Found to have MSI-H+ marker on

her tumor.

  • Started immunotherapy trial.

Complete response.

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  • 1-5 bp repeat, for 10-60 bp total
  • Dispersed throughout the genome
  • Repeat count must be preserved through

repeated cell divisions

– By DNA mismatch repair (MMR) system

Microsatellites are short, repeating DNA sequences

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  • Cancer cells with deficient DNA mismatch

repair (MMR) system have lots of mutations

  • Hypermutated cancer cells have resulting

Neo-antigens that can be recognized by the immune system

  • But the immune system needs a little help…

DNA repair deficiency leads to hypermutation

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Lesokhin et al, Science Translational Medicine 2015

GAS PEDALS & CHECKPOINTS T cells have many gas pedal(s) and brake(s): Implications for cancer immunotherapy

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ANTIGEN PRESENTING CELL T CELL

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NEJM 2015

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One of five clinical trials that helped lead to ….

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  • Who else has the marker MSI-H ?
  • How do we leverage big data for Patients?
  • How do we diagnose it across different

cancer types??

  • What novel therapies can we offer them?

MSI: New questions

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Landscape of Microsatellite Instability Across 11,000+ cancers

Bonneville, Krook, et al, JCO Precision Oncology, 2017

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MSIDx Next generation sequencing to detect MicroSatellite Instability-High (MSI-H)

Custom Probes

Normal Tumor

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Sequencing & Analysis

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Phase 2 Trial of Combination IDO-1 inhibitor and Pembrolizumab immunotherapy for any tumor with MSI-H

Unselected Patients with Cancer

Genomic Targets MSI-H Pre-tx Biopsy Treatment Post-PD Biopsy

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  • Tumor: Pretreatment and Post-treatment Tumor Biopsies,

Research Autopsy (resistance)

  • Host: Serial blood and urine (immune cells, circulating

markers)

  • Extrinsic: Stool Microbiota
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Russell Bonneville

Graduate Student Computational Biology

Hui-Zi Chen, MD, PhD

Medical Oncology Fellow Medical Oncology

Michele Wing, PhD, FNP

Research Scientist Cancer Molecular Diagnostics

Julie Reeser, PhD

Technical Director Cancer Molecular Diagnostics

Algorithm to Detect MSI-H Novel Diagnostic Test: MSIDx Clinical Trial Immunotherapy

Novel Diagnostics and Therapy

  • Published Landscape of MSI-H marker across 39 Cancer

Types (June 2017)

  • Developed concept for pan-cancer test (“MSIDx”)
  • UH2/UH3 funding for developing MSIDx (Sept 2017)
  • New clinical trial for Immunotherapy

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  • Precision cancer medicine
  • Gene fusions -> Targeted therapies (FGFR)
  • Microsatellite instability -> Immunotherapy
  • Data sharing networks

Outline and Goals

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  • ~3% will have a germline alteration that may confer

heritable risk

  • ~10% will have an actionable genomic alteration

that leads to new therapy

What can we expect from advanced genomic testing for our patients?

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A National Cancer Center Alliance to integrate “Big Data” and Data Sharing For Cancer Research and Care Accelerating cancer discovery and delivering hope through collaborative learning and partnerships

Mission:

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Oncology Research Information Exchange Network (ORIEN)

February 2018

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Oncology Research Information Exchange Network (ORIEN): Investigator Initiated Trials for Marker+ patients

Analysis of Whole Exome and RNAseq MARKER+ Candidates? CLIA Testing

  • MSI-H

Hypermutated

  • FGFR fusions
  • ALK and ROS1

fusions

Trial Therapy Drug Resistance

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OSU-IGNITE (DNA) OSU-SpARKFuse (RNA)

Looking Ahead to Novel Diagnostics and Targets

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OSU MSIDx OSU Undisclosed OSU Microbiome

MSI-H Methylation ?

OSU T cell

?

Novel Biomarkers and Diagnostics

Immunotherapy Undisclosed Diet? Combination Immunotherapy

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  • Patients first

Examples:

  • Biomarkers to predict response to therapy
  • Novel Diagnostic tests
  • Therapies in clinical trials
  • Team work
  • Data Sharing Networks
  • Training

Summary

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The Team

Cancer Biology, Targets & Therapy Melanie Krook, PhD Hui-Zi Chen, MD, PhD Computational Biology Jharna Miya, MS Russell Bonneville Eric Samorodnitsky, PhD (Aidan Matzko) (Esko Kautto) Biology Students Cristina Ocrainiciuc Karan Naik Mikayla Dantuono Allie Lenyo Hannah Barker Kaitlin Baker Ashley Guo Residents Nick Nowacki, MD Genomics Diagnostics Julie Reeser, PhD Michele Wing, FNP-C, FABMG, PhD Amy Smith Dorrelyn Martin, MS Thuy Dao

www.Precisioncancermedicine.osu.edu www.Precisioncancermedicine.osu.edu

NCI UH2 CA202971 NCI UH2 CA216432

American Lung Association

Collaborators Kristin Dittmar Aharon Freud Wei Chen Tricia Allenby John Hays

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Thank you! Questions?

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Trials FGFR inhibitors (3) RET (3) ALK (3+) ROS1 (2) NTRK (1) Bromodomain inhibitors (2) PARP inhibitors (1+) PD1 inhibitors, Multiple Alteration FGFR alterations RET alterations ALK alterations ROS1 alterations NTRK alterations MYC alterations BRCAness MSI-H

Molecularly Matched Therapeutic Trials at OSUCCC-James (Examples)