MammaPrint Improving treatment decisions in breast cancer Support and Involvement of EU

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1 INTRODUCTION REVIEW ARTICLE

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MammaPrint Improving treatment decisions in breast cancer Support and Involvement of EU 1 Bas van der Baan VP Clinical Affairs Irvine, California Amsterdam, The Netherlands

2

Two Crucial Questions in Cancer Who needs additional therapy after surgery? Prognosis Which therapy is most effective Prediction 3

Recurrences and Mortality: >50 y

With an average 4% reduction in recurrence and 3% reduction in mortality in patients over age 50 How can we identify patients who will benefit from adjuvant treatment?

MammaPrint developed using unbiased gene selection based on patient outcomes LOW RISK No distant metastasis within 5 years Full human genome 25K Untreated tumor samples with up to 20 year follow- up Ranking 70 most significant genes predic:ve of recurrence risk were iden:fied Distant metastasis within 5 years HIGH RISK Full human genome 25K

First to prove clinical utility Nature Paper: The Breakthrough 78 Patients 70 Genes Van t Veer et al, Gene expression profiling predicts clinical outcome of breast cancer, Nature, Vol 415, 2002

8 Clinical Validity NEJM 2002

Levels of evidence determination Category A prospective, randomized clinical trial designs Category B prospective studies using archived tissue samples Category C prospective, observational registry studies Level I Level II Level III 1 study from Cat A or 1 studies from Cat B 1 study from Cat B or 2 studies from Cat C 1 study from Cat C Levels 10 Simon JNCI 2009

11 Category A: Clinical Utility A Prospect Randomized Controlled Trial Against Standard of Care

MINDACT Trial Design (n = 6,694); REGISTRATION Clinical-pathological and MammaPrint both LOW risk n = 2,743 Clin-Path HIGH MammaPrint LOW Discordant cases n = 2,142 Clin-Path LOW MammaPrint HIGH Clinical-pathological and MammaPrint both HIGH risk n = 1,807 RANDOMIZE Use Clin-Path risk to determine Chemo use Use MammaPrint risk to determine Chemo use Endocrine therapy Chemotherapy Endocrine therapy

Influence health outcome Discordance between Clinical Risk assessment and MammaPrint in MINDACT N = 6694 3358 (50%) 2401 (36%) 957 pt more low risk 592 MammaPrint High / Clinical Low 1550 MammaPrint Low / Clinical High 3336 (50%) 4293 (64%) Clinical Adjuvant! Risk MammaPrint 32% Discordance between MammaPrint and Clinical risk assessment 13 Rutgers et al ESMO 2013

14 Category C: Clinical Utility

MammaPrint High Risk Patients had a Relatively Good 5 Year Distant Recurrence Free Interval 5YR DDFS 91.2% 208 (49%) 81% adjuvant chemotherapy 97% 219 (51%) 85% no adjuvant chemotherapy 132 (31%) MammaPrint

MammaPrint Analytical and Clinical Validity Externally confirmed in 6 FDA clearances Clearance Year Clearance MammaPrint in Formalin Fixed Paraffin Embedded Tissue MammaPrint in all Agendia controlled Laboratories 2015 K141142 2011 K101454 MammaPrint in post menopausal women 2009 K81092 Use of High Density Microarray Chip 2008 K08252 MammaPrint Ambient Temperature 2007 K70675 MammaPrint Fresh Frozen 2007 K062694 2007 DE Novo 510K MammaPrint is the predicate devices for future multi gene assays for breast cancer prognosis FDA clearances 16

Feedback National Institute Clinical Excellence UK The Committee considered that the uncertainty in the clinical-effectiveness evidence for MammaPrint limited the validity of the economic analysis. 17

Clinical Utility Test influences treatment decision: impact Test improves health outcome Improved survival Less toxicity and cost without compromising outcome 18

Why H2020 Limited reimbursement in Europe leads to limited clinical adoption, leads to over utilization of chemotherapy New type of test New levels of evidence required Impact different in different EU countries Returns in diagnostics can not justify the clinical trials necessary, it is not a drug 19

H2020 Project proposal Establish robust data on Clinical Utility Retrospective analysis of a Prospective Randomized Trail for Prognosis Retrospective analysis of a Prospective Randomized Trail for Therapy Benefit Establish impact data Prospective PRIME trial Germany 20

Why successful? Extensive detailed feedback from reimbursement authorities on the limitations Concrete plan to overcome the limitations Clear path to clinical adoption after completion of the project Clear path for growth after completion Clear benefit for EU breast cancer patients Up to 70% of patients can safely forego chemotherapy 21