Literature DB >> 22586319

The BATTLE trial: personalizing therapy for lung cancer.

Edward S Kim1, Roy S Herbst, Ignacio I Wistuba, J Jack Lee, George R Blumenschein, Anne Tsao, David J Stewart, Marshall E Hicks, Jeremy Erasmus, Sanjay Gupta, Christine M Alden, Suyu Liu, Ximing Tang, Fadlo R Khuri, Hai T Tran, Bruce E Johnson, John V Heymach, Li Mao, Frank Fossella, Merrill S Kies, Vassiliki Papadimitrakopoulou, Suzanne E Davis, Scott M Lippman, Waun K Hong.   

Abstract

UNLABELLED: The Biomarker-integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) trial represents the first completed prospective, biopsy-mandated, biomarker-based, adaptively randomized study in 255 pretreated lung cancer patients. Following an initial equal randomization period, chemorefractory non-small cell lung cancer (NSCLC) patients were adaptively randomized to erlotinib, vandetanib, erlotinib plus bexarotene, or sorafenib, based on relevant molecular biomarkers analyzed in fresh core needle biopsy specimens. Overall results include a 46% 8-week disease control rate (primary end point), confirm prespecified hypotheses, and show an impressive benefit from sorafenib among mutant-KRAS patients. BATTLE establishes the feasibility of a new paradigm for a personalized approach to lung cancer clinical trials. SIGNIFICANCE: The BATTLE study is the first completed prospective, adaptively randomized study in heavily pretreated NSCLC patients that mandated tumor profiling with "real-time" biopsies, taking a substantial step toward realizing personalized lung cancer therapy by integrating real-time molecular laboratory findings in delineating specific patient populations for individualized treatment.

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Year:  2011        PMID: 22586319      PMCID: PMC4211116          DOI: 10.1158/2159-8274.CD-10-0010

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


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1.  Bexarotene plus erlotinib suppress lung carcinogenesis independent of KRAS mutations in two clinical trials and transgenic models.

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Journal:  Mol Cancer Ther       Date:  2017-07-20       Impact factor: 6.261

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8.  An epithelial-mesenchymal transition gene signature predicts resistance to EGFR and PI3K inhibitors and identifies Axl as a therapeutic target for overcoming EGFR inhibitor resistance.

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Journal:  Clin Cancer Res       Date:  2012-10-22       Impact factor: 12.531

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Authors:  Christina Y Yim; Pingping Mao; Michael J Spinella
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Journal:  Cancer Invest       Date:  2014-05-09       Impact factor: 2.176

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