Learning from sensitivity and resistance in ovarian cancer trials - - PowerPoint PPT Presentation

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Learning from sensitivity and resistance in ovarian cancer trials - - PowerPoint PPT Presentation

The whole of science is nothing more than a refinement of everyday thinking Albert Einstein Learning from sensitivity and resistance in ovarian cancer trials June 2, 2017 Stephanie Lheureux, MD PhD Clinician Investigator Drug


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Learning from sensitivity and resistance in ovarian cancer trials

June 2, 2017

Stephanie Lheureux, MD PhD

Clinician Investigator – Drug Development Program Staff Medical Oncologist, Gyne Medical Oncology Department of Medicine Princess Margaret Cancer Centre Assistant Professor, Faculty of Medicine, University of Toronto

“The whole of science is nothing more than a refinement of everyday thinking”

Albert Einstein

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Current therapeutic classes, pathways and molecular targets

Lheureux S, Oza AM 2017

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Olaparib maintenance monotherapy significantly prolonged PFS in platinum-sensitive relapsed HGSOC

– Patients with a BRCA1/2 mutation receive greater treatment benefit – Non-mutation carriers may also benefit from olaparib treatment

Study 19: PFS results

Time from randomization (months)

1.0

Proportion of patients progression-free

3 6 9 12 15

Olaparib BRCAm Olaparib BRCAwt

0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 BRCAm (n=136) BRCAwt (n=118) Olaparib Placebo Olaparib Placebo Median PFS, months 11.2 4.3 7.4 5.5 HR=0.18 P<0.00001 HR=0.53 P=0.007 BRCAm (n=136) BRCAwt (n=118) Olaparib Placebo Olaparib Placebo Median PFS, months 11.2 4.3 7.4 5.5 HR=0.18 P<0.00001 HR=0.53 P=0.007

Placebo BRCAm Placebo BRCAwt

Ledermann J et al,. Lancet 2014

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Pujade Lauraine E et al., SGO 2017

SOLO2: maintenance olaparib BRCA1/2

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Pujade Lauraine E et al., SGO 2017

SOLO2: maintenance olaparib BRCA1/2

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Refine biomarkers Beyond BRCA1/2 mutations

Levine, D. The Cancer Genome Atlas 2011

NO HR DEFICIENCY HR DEFICIENCY

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RECIST ORR: 36% RECIST ORR: 16% RECIST ORR: 75%

Swisher EM et al., Lancet Oncology 2017

Ariel 2: Response Rate

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BRCAwt

Treatme nt PFS Median (95% CI) (Month s) Hazard Ratio (95% CI) p-value % of Patients without Progression

  • r Death

12 mo 18 mo Nirapari b (N=71) 9.3 (5.8, 15.4) 0.38 (0.231, 0.628) p=0.000 1 45 % 27 % Placebo (N=44) 3.7 (3.3, 5.6) 11 % 6% Treatme nt PFS Median (95% CI) (Month s) Hazard Ratio (95% CI) p-value % of Patients without Progression

  • r Death

12 mo 18 mo Nirapari b (N=35) 20.9 (9.7, NR) 0.27 (0.081, 0.903) p=0.024 8 62 % 52 % Placebo (N=12) 11.0 (2.0, NR) 19 % 19 %

sBRCAmut

NR=Not reached

Treatme nt PFS Median (95% CI) (Month s) Hazard Ratio (95% CI) p-value % of Patients without Progressio n or Death 12 mo 18 mo Nirapari b (N=92) 6.9 (5.6, 9.6) 0.58 (0.361, 0.922) p=0.022 6 27 % 19 % Placebo (N=42) 3.8 (3.7, 5.6) 7% 7%

HRD-positive

ENGOT-OV16/ NOVA Trial: PFS results

HRD-negative

Mirza MR et al. NEJM 2016

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Extreme Responders – Non Responders

Lheureux S et al, CCR 2017

OLALA Study

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Extreme Responders – Non Responders

Lheureux S et al, CCR 2017

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Giornelli GH, Springerplus 2016 McGranahan N, Cell. 2017

Evolution of the Targets: Heterogeneity

 Given the evolutionary capabilities of tumors, monitoring disease evolution to guide therapeutic interventions and to understand evolutionary trajectories of individual tumors has become a vital research area.

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McGranahan N, Cell. 2017

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McGranahan N, Cell. 2017

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NEJM 2017 April

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Overview of the Clinical Characteristics of the Patients

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Jamal-Hanjani M et al. N Engl J Med 2017. DOI: 10.1056/NEJMoa1616288

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  • The onset of chromosome instability appears to have a considerable effect
  • n the evolution of NSCLC

 Instability appears to be the predominant driver of parallel evolution and can lead to both mutational and copy-number diversity among subclones.

  • Elevated copy-number heterogeneity was associated with shorter relapse-

free survival  Patients who have early-stage tumors with high levels of copy-number heterogeneity may represent a high-risk group who may benefit from close monitoring and early therapeutic intervention during follow-up.

  • Understanding how mutational processes shape tumor evolution may

inform strategies to limit tumor adaptation in the clinical setting.

Heterogeneity NSCLC  HGSOC

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Understanding Extreme

  • Short - Long term
  • Appropriate Tissue analysis – right time
  • Olaparib in recurrent high-grade serous/poorly differentiated
  • varian carcinoma or triple-negative breast cancer: A phase 2,

multicentre, open-label, non-randomised study

Gelmon et al. Lancet Oncol 2011

OLALA Study

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20 40 60 80 Position (Mb) 0.5 1.0 1.5 2.0 Depth Ratio

BRCA1 Expression Log2(TPM+1) 0.5 1.0 1.5 2.0 2.5 BRCA1 Cancer Cell Fraction 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1

Primary Progression

8 1 1 BRCA1 LOH p53 R248W HRD Signature 11 12 15 18 19 1A 20 3 4 6 7 16

Legend:

Signature CNVs+SNVs 25% 10% 5%

Primary Progression

Unknown Surgery Recurrence Platinum-based chemotherapy Gemcitabine chemotherapy Olaparib

HGSOC Initial diagnosis

2005 2006 2008 2013 2015 CA125 level over time

Death

January 2009 Radiation 30 Gy in 10 fractions June 2009 At the start of

  • laparib

June 2010 Response on

  • laparib

December 2012 Isolated spleen progression July 2015 At progression

  • n olaparib

20 40 60 80 100 500 3500 6500 9500 12500 15500

UI/mL

Biopsy

1997

X) ry n

CCNE1 Expression Log2(TPM+1) 0.5 1.0 1.5 2.0

Lheureux S et al, JCO 2017

PATIENT 1

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Primary Progression

Cancer Cell Fraction 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 12 19 1 7 BRCA2 LOH

5 5 5

BRCA2 Expression Log2(TPM+1) 0.5 1.0 1.5 2.0 2.5 3.0

)

  • − −

PARP1 Expression Log2(TPM+1) 1 2 3 4 5 15 1A 10

Legend:

Signature CNVs+SNVs 25% 10% 5% Unknown

2002 2008 2015

HGSOC Initial diagnosis August 2008 At the start of olaparib January 2009 Response on olaparib April 2015 At progression on olaparib

CA125 level over time

200 400 50 100

UI/mL

Surgery Recurrence Platinum-based chemotherapy Olaparib Biopsy

Lheureux S et al, JCO 2017

PATIENT 2

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Primary

Cancer Cell Fraction 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1

A

BRCA1 W353*

HRD Signature

12 1B 1A 3 4 7

Legend:

Signature CNVs+SNVs 25% 10% 5% Unknown BRCA1 LOH

2009 2016

HGSOC Initial diagnosis

June 2009 At the start of

  • laparib

August 2016 complete response on

  • laparib

CA125 level over time

20 40 60 80 100

UI/mL

Surgery Recurrence Platinum-based chemotherapy Olaparib

  • Primary

Copy-Number Allele-A: Allele-B: 0.5 1.0 1.5 2.0 Chromosome Position (Mb) 20 40 60 80 BRCA1 W353*

1 2 3 4 chr1 chr2 chr3 chr4 chr5 chr6 chr7 chr8 chr9 chr10 chr11 chr12 chr13 chr14 chr15chr16chr17 chr18 chr19 chr20 chr21 chr22 chrX

Allele-A: Allele-B:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 X

Chromosome

Primary Copy-Number 1 2 3 4

Chromosome 17 H&E Initial diagnosis

Lheureux S et al, JCO 2017

PATIENT 3

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Biomarkers in clinical trials

Trial design: Determining whether a cancer driver event occurs early or late can indicate whether it is involved in tumor initiation or maintenance, and its clonality may inform potential therapeutic strategies Trial correlatives: Integration in clinical trial – Time biopsies Biomarkers in practice: Well defined, Reproducible, Robust, Sensitive, Clinically meaningful, cost effective assay, time impact Technique: Biomarkers test Type of tissue

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Science – Clinic A Complementary Approach

Discovery Preclinical validation Clinical trials Clinical practice

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Thank you!