Literature DB >> 27225307

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

Kaipeng Xie1,2, Cheng Liang1,2, Qin Li3, Caiwang Yan1,2, Cheng Wang1,2, Yayun Gu1,2, Meng Zhu1,2, Fangzhi Du1,2, Hui Wang1,2, Juncheng Dai1,2, Xiao'an Liu3, Guangfu Jin1,2, Hongbing Shen1,2, Hongxia Ma1,2, Zhibin Hu1,2.   

Abstract

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.
© 2016 UICC.

Entities:  

Keywords:  ATG10; expression quantitative trait loci; methylation quantitative trait loci; non-small cell lung cancer; survival

Mesh:

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Year:  2016        PMID: 27225307     DOI: 10.1002/ijc.30205

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


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