genetic variations in the regulator of g-protein signaling genes are associated with survival in late-stage non-small cell lung cancer基因变异蛋白信号调节器的基因是在晚期非小细胞肺癌与生存相关.pdfVIP

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genetic variations in the regulator of g-protein signaling genes are associated with survival in late-stage non-small cell lung cancer基因变异蛋白信号调节器的基因是在晚期非小细胞肺癌与生存相关.pdf

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genetic variations in the regulator of g-protein signaling genes are associated with survival in late-stage non-small cell lung cancer基因变异蛋白信号调节器的基因是在晚期非小细胞肺癌与生存相关

Genetic Variations in the Regulator of G-Protein Signaling Genes Are Associated with Survival in Late- Stage Non-Small Cell Lung Cancer 1 1 2 1 2 1 3 1 Jingyao Dai , Jian Gu , Charles Lu , Jie Lin , David Stewart , David Chang , Jack A. Roth , Xifeng Wu * 1 Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America, 2 Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America, 3 Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America Abstract The regulator of G-protein signaling (RGS) pathway plays an important role in signaling transduction, cellular activities, and carcinogenesis. We hypothesized that genetic variations in RGS gene family may be associated with the response of late- stage non-small cell lung cancer (NSCLC) patients to chemotherapy or chemoradiotherapy. We selected 95 tagging single nucleotide polymorphisms (SNPs) in 17 RGS genes and genotyped them in 598 late-stage NSCLC patients. Thirteen SNPs were significantly associated with overall survival. Among them, rs2749786 of RGS12 was most significant. Stratified analysis by chemotherapy or chemoradiation further identified SNPs that were associated with overall survival in subgroups. Rs2816312 of RGS1 and rs6689169 of RGS7 were most significant in chemotherapy group and chemoradiotherapy group, respectively. A significant cumulative effect was observed when these SNPs were combined. Survival tree analyses identified potential interactions between rs944343, rs2816312, and rs1122794 in affecting survival time in patients treate