Current Controversies in Clinical Trials: Perspectives from SCT Fellows. Society for Clinical Trials May 22, 2013

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Current Controversies in Clinical Trials: Perspectives from SCT Fellows Society for Clinical Trials May 22, 2013

Session Outline First ~ 60 min Each fellow will provide highlights of their career focusing on lessons learned Last ~ 30 min Panel discussion from fellows on 2 questions facing current clinical trialists

Fellows Line-up Simon Day Wendy Parulekar Ivan Chan Eleanor Mcfadden Daniel Sargent

Reflections and Discussion of Current Controversies in Clinical Trials Perspectives from SCT Fellows Boston 20 th 22 nd May 2013 Dr Simon Day 22nd May 2013

Me? Elected a Fellow in 2012 Citation: For having influenced the practice and evaluation of clinical trials as an industry leader and expert in clinical trials; for education through publications, lectures, and courses, notably on the Science of Small Clinical Trials; and as a regulator having positively impacted the practice of clinical trial design and analysis. Very flattering! 22nd May 2013 d 5

This year s session (like previous years) each Fellow will provide insight into a clinical trial of special relevance to their career with specific emphasis to their involvement in the clinical trial and lessons learned. 22nd May 2013 d 6

Where does the torrent start? 22nd May 2013 d 7

The torrent grows 22nd May 2013 d 8

And eventually 22nd May 2013 d 9

So what are those rain drops I helped create? European Medicines Agency, Scientific Advice Working Party 591 Scientific Advice Requests 197 Protocol Assistance Requests 800 22nd May 2013 d 10

Orphan drugs; orphan indications; orphan products 22nd May 2013 d 11

Orphan drugs; orphan indications; orphan products Institute of Medicine, 2001 22nd May 2013 d 12

Orphan drugs; orphan indications; orphan products 22nd May 2013 d 13

Orphan drugs; orphan indications; orphan products 22nd May 2013 d 14

Orphan indications In the US, fewer than 200,000 persons affected ( 1 in 3,500) In Japan, fewer than 50,000 patients ( 1 in 2,500) In the EU, fewer than 1 in 2,000 people affected ( 250,000) Generally between 1 / 200,000 to 1 / 1,000 Many orphan diseases are ultra-orphan 100s of cases 10s of cases 22nd May 2013 d 15

My contribution I think(!) has been to Be practical Be objective Be flexible Be compassionate Be really passionate! Convince others (by example) that there are ways to study treatments for rare diseases, that can be better than just doing nothing, and better than just doing bad science 22nd May 2013 d 16

Orphan indications In the US, fewer than 200,000 persons affected ( 1 in 3,500) In Japan, fewer than 50,000 patients ( 1 in 2,500) In the EU, fewer than 1 in 2,000 people affected ( 250,000) Generally between 1 / 200,000 to 1 / 1,000 BUT, between 7000 and 8000 recognised orphan diseases Burden on US is about 30 million patients 22nd May 2013 d 17

Many small contributions Many rare disease 22nd May 2013 d 18

Perspectives From a SCT Fellow Ivan S. F. Chan, Ph.D. Merck Research Laboratories Society For Clinical Trials Annual Meeting Boston, MA May 19-23, 2013

A Few Words About Me Born in China, grew up in Hong Kong, live in US Studied Statistics (MS) and Biostatistics (PhD) The Chinese University of Hong Kong University of Minnesota Work at Merck Research Laboratories Executive Director, Late Development Statistics SCT participation since 1997, key activities include Program Committee Chair (2008) Industry/FDA Affinity Group Chair (2009-2011) Development Committee Chair (2011 to present) Board of Directors (2011 to 2015) 20

SCT Fellow, class of 2011 Citation reads For significant contributions to the advancement of the science and practice of clinical trials Very honored 21

Contributions to Clinical Research Trial design and analysis for vaccine studies Exact statistical inference for large efficacy studies of rare diseases Noninferiority trials Adaptive designs Seamless phase II/III design Dose selection using biomarker Population enrichment 2-stage design with sample size re-estimation 22

Contributions to Clinical Research Evaluation of correlates of protection (biomarkers) for vaccines Statistical modeling for predicting efficacy of chickenpox vaccine (Varicella) based on antibody responses Causal inference approach to evaluate antibody response as a correlate of protection for herpes zoster vaccine 23

Contributions to Clinical Research Strategic planning and interactions with regulatory agencies and government bodies (e.g. FDA, CDC) on vaccine approval and national immunization practice recommendation Varicella vaccine (VARIVAX ) Herpes zoster vaccine (ZOSTAVAX ) HPV vaccine (GARDASIL ) Measles-mumps-rubella-varicella combination vaccine (ProQuad ) 24

Trial Involvement: Herpes Zoster Vaccine (ZOSTAVAX ) Lead statistician from phase I to phase III and approval process Herpes zoster (HZ) A viral disease characterized by a painful skin rash with blisters Caused by reactivation of varicella-zoster virus (VZV) Two large phase III efficacy trials: Protocol 004: ~38,000 subjects 60+ years of age Protocol 022: ~22,000 subjects 50-59 years of age 25

Shingles Prevention Study (SPS) (Protocol 004/403, Oxman et al., NEJM 2005) Double-blind, placebo-controlled, multicenter trial N = 38,546 subjects 60 years of age randomized 1:1 to receive ZOSTAVAX or placebo Conducted by Dept. of Veteran Affairs Cooperative Studies Program (VA CSP) in collaboration with the National Institutes of Health (NIH) and Merck & Co., Inc. Close collaboration with VA CSP at West Haven, CT (Peter Peduzzi, Gary Johnson, Jane Zhang) 26

Key Efficacy Endpoints of SPS HZ incidence Postherpetic neuralgia (PHN) Clinically significant pain persisting for or present after 90 days of HZ rash onset HZ pain burden of illness (BOI) Composite of incidence, severity, and duration of pain (Chang, Guess and Heyse 1994) Novel endpoint 27

Percent of Subjects With HZ ZOSTAVAX Efficacy: HZ Incidence Estimate of the Cumulative Incidence of HZ Over Time by Vaccination Group 6 5 4 3 2 1 VE HZ =51% p<0.001 Placebo (n=642) ZOSTAVAX (n=315) 0 0 1 2 3 4 Time Since the Start of Follow-Up (in Years) Number of subjects at risk ZOSTAVAX 19254 18994 18626 9942 1906 Placebo 19247 18915 18422 9806 1856 v211p4acmkm_t2hz_mittv4 Dec. 1, 2005 28

ZOSTAVAX Efficacy 25%=prespecified lower bound success criterion HZ PHN BOI 51.3% 61.1% 66.5% 95% CI 0 25 50 75 100 Vaccine Efficacy (%) 29

Correlate of Protection Analysis From Two Phase III Trials of ZOSTAVAX (Antibody Responses by gpelisa) Study Protocol Population Vaccine Effect on incidence of HZ Vaccine effect on antibody response Correlation between antibody and risk of HZ 004 sub-study (N=38546,n =1328) 60+ years 51% (p <.0001) 1.7 fold (p <.0001) 38% risk reduction per one-log-unit increase (p <.0001) 022 case-cohort (N=22439,n =2269) 50-59 years 70% (p <.0001) 2.3 fold (p <.0001) 31% risk reduction per one-log-unit increase (p <.0001) VZV antibody response measures (natural log scale): (1) gpelisa titer at 6 weeks (2) gpelisa fold rise at 6 weeks (6-week titer/baseline titer) 30

Correlate of Protection Analysis Antibody responses by gpelisa: Titer + I[foldrise>cutoff] Prentice s Criteria Study Proportion of Treatment Effect Explained (PTE) 004 0.783 022 0.645 Causal inference analysis also shows the antibody response predicts vaccine efficacy Antibody responses accepted as primary endpoint for subsequent bridging trials 31

Vaccine Efficacy Curve Titer Difference Log 10-fold Rise 32

Lessons Learned Like the industry-government partnership Enjoyed the close collaboration with VA CSP at West Haven, CT (Peter Peduzzi, Gary Johnson, Jane Zhang) Design, analysis, and reporting (publication, CSR, filing) Interaction with PIs and DSMB Statistical innovation can improve clinical development process Overall, feel good to see public health benefit from a great vaccine 33

Eleanor McFadden Managing Director, Frontier Science (Scotland) Ltd WHAT HAVE I DONE?

Brief History Started work as a Data Manager for the Eastern Cooperative Oncology Group in 1977. Frontier Science was grantee organisation Became head of the data management team in 1978 and eventually Director of the ECOG Coordinating Centre in the late 1980 s

History (ctd) Worked with ECOG for more than 20 years Moved back to Scotland in 2000 and established a branch of Frontier Science Since then, working primarily on industry sponsored studies via a not-for-profit organisation in Belgium

Areas of Experience Data Management IT systems for clinical trials Site monitoring/ audits Project Management

Contributions Recognition of Data Management as a profession which makes key contribution to the overall success of clinical trials Development of Intergroup Guidelines for the US Cancer Cooperative Groups, working together when relevant Development of on-site audit program for cancer cooperative groups in late 70 s/ early 80 s

Contributions (2)

Clinical Trial Highlight HERA Trial first project after I moved back to Scotland from Boston Involved in data management, project management and statistics Allowed me to establish Frontier Science (Scotland) as a viable entity

Office in Scotland

HERA Most overwhelmingly statistically significant trial that I remember working on Data released at time of first interim analysis Used in submissions around the world to get approval for use of Herceptin in women with HER2 +ve early stage breast cancer Helped to give hundreds of women access to this treatment

Disease-free survival Patients( %) 100 80 60 Observation 1 year trastuzumab 40 2-year Events DFS HR 95% CI p value No. at risk 20 0 0 127 220 85.8 77.4 0.54 0.43, 0.67 <0.001 6 12 18 24 Months from randomisation 1694 1172 885 532 268 1693 1108 767 445 224 Median follow-up: 1 year HR, hazard ratio; CI, confidence interval SABCS 2005

Lessons Learned Too many to talk about!

Daniel Sargent: About me Graduate of U of MN 1996 Immediately to Mayo Clinic, started working on colon cancer clinical trials 2000: NCCTG Group Statistician 2001: Director, Biostatistics, Mayo Clinic Cancer Center 2010: CALGB Group Statistician 2011: Alliance for Clinical Trials in Oncology Group Stat Professor of Biostatics and Oncology, Mayo Clinic

Research Focus Areas Very large pooled analyses of endpoints and subsets Prospective validation of biomarkers in stage II and III colon cancer

ACCENT & Endpoints Overall survival 0.80 0.75 0.70 0.65 0.60 0.55 May 05, 2004: ODAC recommends 3-yr DFS as new regulatory endpoint for full approval in adjuvant colon cancer NOW > 33,000 Patients ~ dozen high profile publications Very young Elderly Race Similar Database (> 22,000 patients) in metastatic CRC 20,898 patients, 18 trials 5 yr OS= 0.0002+0.998*3 yr DFS 0.50 0.50 0.55 0.60 0.65 0.70 0.75 0.80 Disease-free survival Sargent et al, JCO 2005

IDEA: International Duration Evaluation in Adjuvant colon cancer Worldwide effort to address duration of chemotherapy (3 vs 6 mos) R Common question 3 mos 6 mos Group-specific question e.g. +/- BEV +/- Celecoxib +/- Agents X/Y/Z Participating groups CALGB/SWOG (US); GISCAD (Italy TOSCA) SCOT (UK, Australia); HORG (Greece) GERCOR (France); ACHIEVE (Japan) Stage III colon cancer, > 10,500 total patients Non-inferiority margin of 2.5%

Other database activities RECIST database mining (S Mandrekar, M An) Follicular Lymphoma FLASH (Q Shi) Pancreas (forming)

Biomarker Validation through pooled analyses

Lessons learned If you can, intensely focus within a disease area Non MDs can lead large projects with (extensive clinician collaboration) Data is precious, and highly underused tremendous opportunities for new discovery Respect your collaborators then they will trust you

Panel Discussion

Question #1 What is the greatest challenge facing the clinical trials community in 2013?

Question #2 What should we as clinical trialists, and the SCT more broadly, be doing to ensure that public policy is based on sound, evidenced based data?