Supplementary Table 1 from A 12-Gene Set Predicts Survival Benefits from Adjuvant Chemotherapy in Non–Small Cell Lung Cancer Patients

Tang, Hao; Xiao, Guanghua; Behrens, Carmen; Schiller, Joan; Allen, Jeffrey; Chow, Chi-Wan; Suraokar, Milind; Corvalan, Alejandro; Mao, Jianhua; White, Michael A.; Wistuba, Ignacio I.; Minna, John D.; Xie, Yang

doi:10.1158/1078-0432.22452731.v1

10780432ccr122321-sup-tab1.pdf (49.3 kB)

Supplementary Table 1 from A 12-Gene Set Predicts Survival Benefits from Adjuvant Chemotherapy in Non–Small Cell Lung Cancer Patients

journal contribution

posted on 2023-03-31, 17:55 authored by Hao Tang, Guanghua Xiao, Carmen Behrens, Joan Schiller, Jeffrey Allen, Chi-Wan Chow, Milind Suraokar, Alejandro Corvalan, Jianhua Mao, Michael A. White, Ignacio I. Wistuba, John D. Minna, Yang Xie

PDF file - 49K, Multivariate Cox regression analysis of the 18-hub-gene prognostic signature and clinical variables in the UT Lung SPORE.

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ARTICLE ABSTRACT

Purpose: Prospectively identifying who will benefit from adjuvant chemotherapy (ACT) would improve clinical decisions for non–small cell lung cancer (NSCLC) patients. In this study, we aim to develop and validate a functional gene set that predicts the clinical benefits of ACT in NSCLC.Experimental Design: An 18-hub-gene prognosis signature was developed through a systems biology approach, and its prognostic value was evaluated in six independent cohorts. The 18-hub-gene set was then integrated with genome-wide functional (RNAi) data and genetic aberration data to derive a 12-gene predictive signature for ACT benefits in NSCLC.Results: Using a cohort of 442 stage I to III NSCLC patients who underwent surgical resection, we identified an 18-hub-gene set that robustly predicted the prognosis of patients with adenocarcinoma in all validation datasets across four microarray platforms. The hub genes, identified through a purely data-driven approach, have significant biological implications in tumor pathogenesis, including NKX2-1, Aurora Kinase A, PRC1, CDKN3, MBIP, and RRM2. The 12-gene predictive signature was successfully validated in two independent datasets (n = 90 and 176). The predicted benefit group showed significant improvement in survival after ACT (UT Lung SPORE data: HR = 0.34, P = 0.017; JBR.10 clinical trial data: HR = 0.36, P = 0.038), whereas the predicted nonbenefit group showed no survival benefit for 2 datasets (HR = 0.80, P = 0.70; HR = 0.91, P = 0.82).Conclusions: This is the first study to integrate genetic aberration, genome-wide RNAi data, and mRNA expression data to identify a functional gene set that predicts which resectable patients with non–small cell lung cancer will have a survival benefit with ACT. Clin Cancer Res; 19(6); 1577–86. ©2013 AACR.