Rapid Learning Precision Oncology. Part I: Patient’s Perspective Part II: Industry Perspective...

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Rapid Learning Precision Oncology

Transcript of Rapid Learning Precision Oncology. Part I: Patient’s Perspective Part II: Industry Perspective...

Page 1: Rapid Learning Precision Oncology. Part I: Patient’s Perspective Part II: Industry Perspective Part III: Aligning Incentives.

Rapid Learning Precision Oncology

Page 2: Rapid Learning Precision Oncology. Part I: Patient’s Perspective Part II: Industry Perspective Part III: Aligning Incentives.

Rapid Learning Precision Oncology

Part I: Patient’s Perspective

Part II: Industry Perspective

Part III: Aligning Incentives

Page 3: Rapid Learning Precision Oncology. Part I: Patient’s Perspective Part II: Industry Perspective Part III: Aligning Incentives.

Part I: Patient’s Perspective

surgery radiation

clinical trials

experimentalmethods

chemotherapy

• Thousands of rare molecular subtypes

• Tens of thousands of treatment combinations

• Traditional RCTs become problematic

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Biopsy

Sequence

Compare

TargetTest

Treat

Monitor

Precision Oncology 2.0 (Today)

In silicoIn vivo In vitro

Normal skin cell

Sequencing Machines

Chromosomes

Normal cell

Cancer cell

Treated cell

Scans

Patient

Biomarkers

Original cancer cell

Adapted from NY Times

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Molecular Tumor Board

Medical, surgical and radiation oncologists, biostatisticians, radiologists, and pathologists+ clinical geneticists and specialists in cancer pathways, pharmacology, bioinformatics

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Case Reports

Page 8: Rapid Learning Precision Oncology. Part I: Patient’s Perspective Part II: Industry Perspective Part III: Aligning Incentives.

No Learning

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Rapid Learning Precision OncologyA rapid learning community for

cancer• Help each patient obtain the best possible outcome

• Learn as much as possible

• Disseminate rapidly Learn

Model

AnalyzeTreat

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mTOR

AKT

PI3K

PTEN

NRASBRAF

MEK

ERK

Bcl-2, Bcl-xL, Mcl-1

BAKBAX

NOXA, PUMABIM, BID,

BAD

p53

MDM2

p14ARF

CDK4/6 p16

Cyclin D

MITF

MAPK1

2 NRAS

3 MITF

4 PI3K

5 CDK

6 c-KIT

7 Bcl-2

8 8MAPK/ PI3K

9 9MAPK/ CDK

10

10

10

NRAS/ MAPK/ PI3K

Melanoma Molecular SubtypesSubtypes Cell Signaling Pathways

Responders

Non- Responders

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Scientists Clinical Researchers Physicians Patients

Human-Machine Knowledge System

PatientModels

ReferenceModels

Specimens

Labs Clinical Trials

PharmaPayersHospitals

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What It Means To Do Our Best

Tony Blau MD, U. Washington

“Although our ability to exploit knowledge of cancer pathways is in its infancy, we must do our best for today's cancer patients and, in the process, learn as much as possible for the patients of tomorrow.”

NCT01957514: Collecting, Analyzing, and Storing Samples From Patients With Metastatic, Triple Negative Breast Cancer Receiving Cisplatin (ITOMIC)

University of Washington & NCI

ITOMIC: Intensive Trial of OMics in Cancer

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Rapid Learning Network

Tony BlauU.

Washington

Andrea Califano

Columbia U.

Lincoln NadauldIntermountain

Health

Keith Flaherty

MGH

George Demetri Dana

Farber

Ravi SalgiaU. Chicago

Mitesh BoradMayo Clinic

Beth KarlanCedars Sinai

Heinz Josef Lenz, USC

Joel NealStanford

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Global Cumulative Treatment Analysis

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Part II: Industry Perspective

DrugDiscovery

FDAApproval

TrialsPhase 1

TrialsPhase 2

TrialsPhase 3

Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14 150

JMT
Redraw as a Funnel (one reason it takes so long is that there are 1000’s of drugs that need to be eliminated, to find the few that advance to trials, and the one that is finally marketed. )
Marty Tenenbaum
Consider lopping off everything with big Xs and then making a separate 3 mo time line with a single patient and all the world's drugs. Alt. adapt the tree/maze to tell this part of the story but we will need to make the points about multiple drugs and the ability to agregate learnings aboout multiple patients.
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Replace Large Trials With…

DrugDiscovery

FDAApproval

TrialsPhase 1

TrialsPhase 2

TrialsPhase 3

Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14 150

JMT
Redraw as a Funnel (one reason it takes so long is that there are 1000’s of drugs that need to be eliminated, to find the few that advance to trials, and the one that is finally marketed. )
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N-of-1 Studies

DrugDiscovery

FDAApproval

Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14 150

JMT
Redraw as a Funnel (one reason it takes so long is that there are 1000’s of drugs that need to be eliminated, to find the few that advance to trials, and the one that is finally marketed. )
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Replace Discovery With…

DrugDiscovery

FDAApproval

Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14 150

JMT
Redraw as a Funnel (one reason it takes so long is that there are 1000’s of drugs that need to be eliminated, to find the few that advance to trials, and the one that is finally marketed. )
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All Approved + Investigational Drugs

DrugDiscovery

FDAApproval

Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14 150

JMT
Redraw as a Funnel (one reason it takes so long is that there are 1000’s of drugs that need to be eliminated, to find the few that advance to trials, and the one that is finally marketed. )
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Years To Months

Month 1 2 2.5 31.5

Precision Oncology 3.0

JMT
Redraw as a Funnel (one reason it takes so long is that there are 1000’s of drugs that need to be eliminated, to find the few that advance to trials, and the one that is finally marketed. )
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GCTA: Many Parallel N-of-1 Trials

Month 1 2 2.5 31.5

Precision Oncology 3.0

JMT
Redraw as a Funnel (one reason it takes so long is that there are 1000’s of drugs that need to be eliminated, to find the few that advance to trials, and the one that is finally marketed. )
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The Search For Cures

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Succeed Slowly

1 yr3 yrs5 yrs9 yrs

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Fail Fast

1 yr3 yrs5 yrs

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Fail Fast

1 yr3 yrs5 yrs

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Bed to Bench

1 yr3 yrs5 yrs

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Bed to Bench

1 yr3 yrs5 yrs

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Tightly Integrate Research and Care

Tony Blau MD, U. Washington

“Although our ability to exploit knowledge of cancer pathways is in its infancy, we must do our best for today's cancer patients and, in the process, learn as much as possible for the patients of tomorrow.”

“…There are still no curative treatments for castration-resistant prostate cancer (CRPC) and, therefore, it remains fatal….Our findings suggest that dual targeting of the Akt and mTOR signaling pathways using MK-2206 and MK-8669 may be effective for treatment of CRPC, particularly for patients with deregulated Rb pathway activity. “Andrea Califano, PhD, Columbia

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Part III. Aligning Incentives

Physician applies for compassionate

use

Pharma provides drug

• Health plan pays• Replicate-small n• Fast track approval

• Lose cost of pills• Save years

Drug Works

Drug Fails

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Toolkit Licensing

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Rapid Learning Precision Oncology1. Tightly integrating cancer research, drug development, and clinical care will improve outcomes, accelerate research, and slash time to clinic.

2. Trials are for validation, not discovery. GCTA-like studies are the only way to efficiently search the vast space of targeted therapies x subtypes.

3. Managing an individual’s cancer, and then generalizing to other patients, is much more achievable than “Curing Cancer”.

4. Barriers such as drug access and reimbursement can be overcome by aligning industry’s interests with the those of patients.

5. The FDA has a critical role in predictive pharmacology, toolkit licensing, and single subject INDs for testing rational combination therapies.