The BATTLE trial: personalizing therapy for lung cancer

ES Kim, RS Herbst, II Wistuba, JJ Lee… - Cancer discovery, 2011 - AACR
ES Kim, RS Herbst, II Wistuba, JJ Lee, GR Blumenschein Jr, A Tsao, DJ Stewart, ME Hicks…
Cancer discovery, 2011AACR
Abstract 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 …
Abstract
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. (ClinicalTrials.gov numbers: NCT00409968, NCT00411671, NCT00411632, NCT00410059, and NCT00410189.)
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. Cancer Discovery; 1(1); 44–53. © 2011 AACR.
Read the Commentary on this article by Sequist et al., p. 14
Read the Commentary on this article by Rubin et al., p. 17
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