Systematic review of a personalized strategy in cancer clinical trials leading to FDA approval.

Authors

null

Denis Leonardo Fontes Jardim

University of Campinas, Campinas, Brazil

Denis Leonardo Fontes Jardim , Maria Clemence Schwaederle , J. Jack Lee , David S. Hong , Alexander M. Eggermont , Richard L. Schilsky , John Mendelsohn , Vladimir Lazar , Razelle Kurzrock

Organizations

University of Campinas, Campinas, Brazil, Center for Personalized Cancer Therapy and Division of Hematology and Oncology, University of California, San Diego, CA, Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, The University of Texas MD Anderson Cancer Center, Houston, TX, Cancer Institute Gustave Roussy, Villejuif, France, American Society of Clinical Oncology, Alexandria, VA, Institut Gustave Roussy, Villejuif, France, University of California, San Diego, La Jolla, CA

Research Funding

No funding sources reported

Background: Evidence for the hypothesis that personalization of therapy optimizes benefit is a subject of debate. We compared efficacy between US Food and Drug Administration (FDA) approved cancer treatments deploying a personalized strategy vs. those without a biomarker-based rationale. Methods: We reviewed registration trials (based on package inserts from Drugs@FDA) that evaluated new agents receiving FDA approval (Sept. 1998 to June 2013) for cancer. Pooled analysis of response rate (RR), progression-free survival (PFS) and overall survival (OS) for all trials and hazard ratios (HRs) for time-to-event endpoints for randomized trials were compared between personalized (defined as using a drug matched to a biomarker or in a population where > 50% of patients harbor the cognate target) vs. non-personalized trials. Results: A total of 58 approved drugs were included (57 randomized [32% personalized] and 55 non-randomized trials [47% personalized]; N=38,104 patients). Personalized trials more often included oral drugs (68% vs. 35%, P=0.001), single agents (89% vs. 71%, P=0.036) and more frequently allowed crossover to experimental arms than non-personalized trials (67% vs. 28%, P=0.009). RR was significantly higher (49% vs. 25%, P<0.001) and PFS was longer (8.5 vs. 5.5 mos, P=0.001) with a personalized approach. In the multilinear regression analysis, personalized therapy was selected as an independent factor predicting a higher RR (P<0.001) and longer PFS (P=0.002). Median HR for PFS of experimental to control arms was 0.37 for personalized vs. 0.58 for non-personalized trials (P=0.003), indicating that, in randomized trials, the personalized experimental arm had significantly more improvement in PFS. Personalized trials also showed a longer OS (median= 18.2 vs. 13.5 mos, P=0.035 in the multilinear analysis), even though crossover was allowed more frequently in personalized trials. Median treatment-related mortality did not differ (0.4%, personalized vs. 1.0%, non-personalized, P=0.22). Conclusions: Personalized trials were associated with more pronounced clinical benefit, expressed by significantly higher RR and longer PFS and OS, despite the latter being confounded by more frequent crossover.

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Abstract Details

Meeting

2014 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Tumor Biology

Track

Tumor Biology

Sub Track

Genomic and Epigenomic Biomarkers

Citation

J Clin Oncol 32:5s, 2014 (suppl; abstr 11047)

DOI

10.1200/jco.2014.32.15_suppl.11047

Abstract #

11047

Poster Bd #

329

Abstract Disclosures