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- W2897628619 abstract "We conducted this study to identify regulatory variants in cancer-related pathway genes which can predict clinical outcomes of chemotherapy in advanced NSCLC, using a comprehensive list of regulatory SNPs prioritized by RegulomeDB.A total of 509 potentially functional SNPs in cancer-related pathway genes were evaluated. The SNPs were analyzed in a discovery set (n = 198), and an independent validation set (n = 181). The associations of the SNPs with chemotherapy response and overall survival (OS) were analyzed.In the discovery set, 95 SNPs were significantly associated with clinical outcomes. Among the 95 SNPs, only rs10414193A > G in the intronic region of ARID3A, an eQTL for LKB1, was consistently associated with chemotherapy response and OS in the validation set. In combined analysis, the rs10414193A > G was significantly associated with worse response to chemotherapy (adjusted odds ratio = 0.63, 95% CI = 0.47-0.85, P = 0.002), and with worse OS (adjusted hazard ratio = 1.25, 95% CI = 1.08-1.45, P = 0.004). Luciferase assay showed a significantly higher LKB1 promoter activity associated with rs10414193G allele compared with rs10414193A allele (P = 0.0009).Our results suggest that rs10414193A > G may be useful for the prediction of clinical outcomes of chemotherapy in advanced NSCLC." @default.
- W2897628619 created "2018-10-26" @default.
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- W2897628619 date "2018-12-01" @default.
- W2897628619 modified "2023-10-16" @default.
- W2897628619 title "An expression quantitative trait locus variant for LKB1 gene predicts the clinical outcomes of chemotherapy in patients with non-small cell lung cancer" @default.
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- W2897628619 doi "https://doi.org/10.1016/j.cancergen.2018.10.002" @default.
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