Role of ATG10 expression quantitative trait loci in non-small cell lung cancer survival

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• 作者：Kaipeng Xie ; Cheng Liang ; Qin Li ; Caiwang Yan ; Cheng Wang ; Yayun Gu ; Meng Zhu ; Fangzhi Du ; Hui Wang ; Juncheng Dai ; Xiao' ; an Liu ; Guangfu Jin ; Hongbing Shen ; Hongxia Ma and Zhibin Hu
• 刊名：International Journal of Cancer
• 出版年：2016
• 出版时间：1 October 2016
• 年：2016
• 卷：139
• 期：7
• 页码：1564-1573
• 全文大小：583K
• ISSN：1097-0215

文摘

The aim of this article was to evaluate whether genetic variants in autophagy-related genes affect the overall survival (OS) of non-small cell lung cancer (NSCLC) patients. We analyzed 14 single nucleotide polymorphisms (SNPs) in core autophagy-related genes for OS in 1,001 NSCLC patients. Three promising SNPs in ATG10 were subsequently annotated by the expression quantitative trait loci (eQTL) and methylation quantitative trait loci (meQTL) analyses based on Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) datasets. We observed that the variants of rs10514231, rs1864182 and rs1864183 were associated with poor lung cancer survival (HR = 1.33, 95% CI = 1.07–1.65; HR = 1.43, 95% CI = 1.13–1.81; HR = 1.38, 95% CI = 1.14–1.68, respectively) and positively correlated with ATG10 expression (all p < 0.05) from GTEx and TCGA datasets. The elevated expression of ATG10 may predict shorter survival time in lung cancer patients in TCGA dataset (HR = 2.10, 95% CI = 1.33–3.29). Moreover, the variants of rs10514231 and rs1864182 were associated with the increased methylation levels of cg17942617 (meQTL), which in turn contributed to the elevated ATG10 expression and decreased survival time. Further functional assays revealed that ATG10 facilitated lung cancer cell proliferation and migration. Our findings suggest that eQTL/meQTL variations of ATG10 could influence lung cancer survival through regulating ATG10 expression.