Genome-Wide Association Study of Genetic Predictors of Overall Survival for Non–Small Cell Lung Cancer in Never Smokers
Year: 2013
Type: article
Study design: Observational Study
Abstract: To identify the genetic factors that influence overall survival in never smokers who have non-small cell lung carcinoma (NSCLC), we conducted a consistency meta-analysis study using genome-wide association approaches for overall survival in 327 never smoker patients with NSCLC from The University of Texas MD Anderson Cancer Center (Houston, TX) and 293 cases from the Mayo Clinic (Rochester, MN). We then conducted a two-pronged validation of the top 25 variants that included additional validation in 1,256 patients with NSCLC from Taiwan and assessment of expression quantitative trait loci (eQTL) and differential expression of genes surrounding the top loci in 70 tumors and matched normal tissues. A total of 94 loci were significant for overall survival in both MD Anderson and Mayo studies in the consistency meta-analysis phase, with the top 25 variants reaching a P value of 10(-6). Two variants of these 25 were also significant in the Taiwanese population: rs6901416 [HR, 1.44; 95% confidence interval (CI), 1.01-2.06] and rs10766739 (HR, 1.23; 95%CI, 1.00-1.51). These loci resulted in a reduction of median survival time of at least eight and five months in three populations, respectively. An additional six variants (rs4237904, rs7976914, rs4970833, rs954785, rs485411, and rs10906104) were validated through eQTL analysis that identified significant correlations with expression levels of six genes (LEMD3, TMBIM, ATXN7L2, SHE, ITIH2, and NUDT5, respectively) in normal lung tissue. These genes were also significantly differentially expressed between the tumor and normal lung tissue. These findings identify several novel, candidate prognostic markers for NSCLC in never smokers, with eQTL analysis suggesting a potential biologic mechanism for a subset of these observed associations.
Source: Cancer Research
Authors: Xifeng Wu, Liang Wang, Yuanqing Ye, Jeremiah A. Aakre, Xia Pu, Gee-Chen Chang, Pan-Chyr Yang, Jack A. Roth, Randolph S. Marks, Scott M. Lippman, Joe Y. Chang, Charles Lu, Claude Deschamps, Wu-Chou Su, Wen-Chang Wang, Ming-Shyan Huang, David W. Chang, Yan Li, V. Shane Pankratz, John D. Minna, Waun Ki Hong, Michelle A.T. Hildebrandt, Chao Agnes Hsiung, Ping Yang
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Funder: National Cancer Institute
OpenAlex ID: W1993430248
