Matthew J Wongchenko 1 , Grant A McArthur 2 , Brigitte Dréno 3 , James Larkin 4 , Paolo A Ascierto 5 , Jeffrey Sosman 6 , Luc Andries 7 , Mark Kockx 7 , Stephen D Hurst 8 , Ivor Caro 8 , Isabelle Rooney 8 , Priti S Hegde 8 , Luciana Molinero 8 , Huibin Yue 8 , Ilsung Chang 8 , Lukas Amler 8 , Yibing Yan 8 , Antoni Ribas 9 . Show Affiliations »
Abstract
Purpose: The association of tumor gene expression profiles with progression-free survival (PFS) outcomes in patients with BRAFV600-mutated melanoma treated with vemurafenib or cobimetinib combined with vemurafenib was evaluated.Experimental Design: Gene expression of archival tumor samples from patients in four trials (BRIM-2, BRIM-3, BRIM-7, and coBRIM) was evaluated. Genes significantly associated with PFS (P < 0.05) were identified by univariate Cox proportional hazards modeling, then subjected to unsupervised hierarchical clustering, principal component analysis, and recursive partitioning to develop optimized gene signatures. Results: Forty-six genes were identified as significantly associated with PFS in both BRIM-2 (n = 63) and the vemurafenib arm of BRIM-3 (n = 160). Two distinct signatures were identified: cell cycle and immune. Among vemurafenib-treated patients, the cell-cycle signature was associated with shortened PFS compared with the immune signature in the BRIM-2/BRIM-3 training set [hazard ratio (HR) 1.8; 95% confidence interval (CI), 1.3-2.6, P = 0.0001] and in the coBRIM validation set (n = 101; HR, 1.6; 95% CI, 1.0-2.5; P = 0.08). The adverse impact of the cell-cycle signature on PFS was not observed in patients treated with cobimetinib combined with vemurafenib (n = 99; HR, 1.1; 95% CI, 0.7-1.8; P = 0.66).Conclusions: In vemurafenib-treated patients, the cell-cycle gene signature was associated with shorter PFS. However, in cobimetinib combined with vemurafenib-treated patients, both cell cycle and immune signature subgroups had comparable PFS. Cobimetinib combined with vemurafenib may abrogate the adverse impact of the cell-cycle signature. Clin Cancer Res; 23(17); 5238-45. ©2017 AACR. ©2017 American Association for Cancer Research.
Purpose: The association of tumor gene expression profiles with progression-free survival (PFS) outcomes in patients with BRAFV600-mutated melanoma treated with vemurafenib or cobimetinib combined with vemurafenib was evaluated.Experimental Design: Gene expression of archival tumor samples from patients in four trials (BRIM-2, BRIM-3, BRIM-7, and coBRIM) was evaluated. Genes significantly associated with PFS (P < 0.05) were identified by univariate Cox proportional hazards modeling, then subjected to unsupervised hierarchical clustering, principal component analysis, and recursive partitioning to develop optimized gene signatures. Results: Forty-six genes were identified as significantly associated with PFS in both BRIM-2 (n = 63) and the vemurafenib arm of BRIM-3 (n = 160). Two distinct signatures were identified: cell cycle and immune. Among vemurafenib -treated patients , the cell-cycle signature was associated with shortened PFS compared with the immune signature in the BRIM-2/BRIM-3 training set [hazard ratio (HR) 1.8; 95% confidence interval (CI), 1.3-2.6, P = 0.0001] and in the coBRIM validation set (n = 101; HR, 1.6; 95% CI, 1.0-2.5; P = 0.08). The adverse impact of the cell-cycle signature on PFS was not observed in patients treated with cobimetinib combined with vemurafenib (n = 99; HR, 1.1; 95% CI, 0.7-1.8; P = 0.66).Conclusions: In vemurafenib -treated patients , the cell-cycle gene signature was associated with shorter PFS. However, in cobimetinib combined with vemurafenib -treated patients , both cell cycle and immune signature subgroups had comparable PFS. Cobimetinib combined with vemurafenib may abrogate the adverse impact of the cell-cycle signature. Clin Cancer Res; 23(17); 5238-45. ©2017 AACR. ©2017 American Association for Cancer Research.
Entities: Chemical
Disease
Gene
Species
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Year: 2017
PMID: 28536307 DOI: 10.1158/1078-0432.CCR-17-0172
Source DB: PubMed Journal: Clin Cancer Res ISSN: 1078-0432 Impact factor: 12.531