Unknown,Transcriptomics,Genomics,Proteomics

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Final efficacy and biomarker analysis of the sorafenib arm of the BATTLE (Biomarker-Integrated Approaches of Targeted Therapy for Lung Cancer Elimination) trial

ABSTRACT: Purpose: To determine the 8-week disease control rate (DCR) of sorafenib monotherapy in patients with advanced non-small-cell lung cancer (NSCLC) in the BATTLE trial. Methods: Patients with pre-treated NSCLC consented to baseline biopsies for pre-specified biomarkers assessment and biomarker discovery. Sorafenib was given at 400 mg orally twice daily until tumor progression or unacceptable toxicity. Outcomes by pre-specified biomarkers were analyzed and a Sorafenib sensitivity signature developed using high-throughput gene expression profiles of NSCLC cell lines and baseline biopsies. Results: 105 patients were eligible and 98 patients were evaluable. Median age was 62 (range 34-81) years, 51% of patients were male, 75% were former/current smokers, and 89% had an ECOG performance status of 0-1. Median prior chemotherapies for stage IV NSCLC were two. Median follow-up was 9.4 (range: 1.3-32.2) months. Overall, 8-week DCR was 58.2%. Patients with EGFR mutations had significantly lower 8-week DCR compared to patients with wild-type tumors (23.1% vs. 64.2%, P=0.0119), and patients with K-RAS mutations had the highest 8-week DCR (67%). Most commonly reported treatment-related adverse events include hand-foot syndrome (59.6%), fatigue (42.3%), rash (40.4%), diarrhea (38.5%), and weight loss (38.5%). Sorafenib sensitivity signature developed in cell lines was associated with an improved outcome. Conclusion: Patients with wild-type EGFR, including those with K-RAS mutation, may benefit from sorafenib as opposed to patients with EGFR mutation. We identify a gene expression signature associated with an improved outcome in patients with wild-type EGFR treated with sorafenib. BATTLE-2 trial is ongoing to validate those results. ClinicalTrials.gov number, NCT00411671. Gene expression profiles were measured in 37 core biopsies from patients with refractory non-small cell lung cancer treated with sorafenib in the Biomarker-integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) trial. We report a Sorafenib sensitivity gene expression signature trained in vitro (separate GEO submission), and tested in baseline biopsies collected in the BATTLE trial.

ORGANISM(S): Homo sapiens

SUBMITTER: Pierre Saintigny

PROVIDER: E-GEOD-31428 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Epithelial/mesenchymal transition (EMT) is associated with loss of cell adhesion molecules, such as E-cadherin, and increased invasion, migration, and proliferation in epithelial cancers. In non-small cell lung cancer (NSCLC), EMT is associated with greater resistance to EGFR inhibitors. However, its potential to predict response to other targeted drugs or chemotherapy has not been well characterized. The goal of this study was to develop a robust, platform-independent EMT gene expression signature and to investigate the association of EMT and drug response in NSCLC. A 76-gene EMT signature was derived in 54 DNA-fingerprinted NSCLC cell lines and tested in an independent set of cell lines and in NSCLC patients from the BATTLE clinical trial. The signature classified cell lines as epithelial or mesenchymal independent of the microarray platform and correlated strongly with E-cadherin protein levels, as measured by reverse phase protein array. Higher protein expression of Rab25 (in epithelial lines) and Axl (in mesenchymal lines), two signature genes associated with in EMT in other cancer types, was also confirmed. Mesenchymal cell lines demonstrated significantly greater resistance to EGFR inhibition, independent of EGFR mutation status and were more resistant to drugs targeting the PI3K/Akt pathway. We observed no association between EMT and response to cytotoxic chemotherapies, including cisplatin, pemetrexed, and docetaxel monotherapy and/or doublets (p-values ≥0.2). In NSCLC patients, the EMT signature predicted 8-week disease control in the erlotinib arm, but not in other treatment arms. In conclusion, we have developed a robust EMT signature that predicts resistance to EGFR inhibitors and PI3K/Akt pathway inhibitors. Gene expression profiles were measured in 131 core biopsies from patients with refractory non-small cell lung cancer in the Biomarker-integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) trial. We used the BATTLE dataset to test an EMT gene expression signature trained in cell lines and independant of the microarray platform.

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Final efficacy and biomarker analysis of the sorafenib arm of the BATTLE (Biomarker-Integrated Approaches of Targeted Therapy for Lung Cancer Elimination) trial

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