Genome-Wide Splicing Quantitative Expression Locus Analysis Identifies Causal Risk Variants for Non–Small Cell Lung Cancer

Author:

Jin Meng12ORCID,Liu Bo2ORCID,Chen Can3ORCID,Huang Yongbiao2ORCID,Zhang Huixian4ORCID,Chen Bingliang5ORCID,Song Guoda5ORCID,Zhao Dong1ORCID,Duan Limin6ORCID,Liu Wei1ORCID,Yang Haizhen1ORCID,Yue Fang1ORCID,Liu Peijun1ORCID,Yuan Xianglin2ORCID,Chu Qian2ORCID,Tian Jianbo3ORCID,Hu Ke1ORCID

Affiliation:

1. 1Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, China.

2. 2Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

3. 3Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University; Research Center of Public Health, Renmin hospital of Wuhan University, Wuhan, China.

4. 4Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou City, China.

5. 5Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

6. 6Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Abstract

Abstract Alternative RNA splicing is an essential mechanism linking genetic variation to human diseases. While the signals from genome-wide association studies (GWAS) have been linked to expression quantitative trait loci (eQTL) in previous studies, further work is needed to better elucidate the relationship to other genetic regulatory mechanisms, such as splicing QTLs (sQTL). Here, we performed a genome-wide sQTL analysis to identify variants that might affect RNA splicing in 1,010 non–small cell lung cancer (NSCLC) samples from The Cancer Genome Atlas. The identified sQTLs were largely independent of eQTLs and were predominantly enriched in exonic regions, genetic regulatory elements, RNA-binding protein (RBP) binding sites, and known NSCLC risk loci. In addition, target genes affected by sQTLs (sGenes) were involved in multiple processes in cancer, including cell growth, apoptosis, metabolism, immune infiltration, and drug responses, and sGenes were frequently altered genetically in NSCLC. Systematic screening of sQTLs associated with NSCLC risk using GWAS data from 15,474 cases and 12,375 controls identified an sQTL variant rs156697-G allele that was significantly associated with an increased risk of NSCLC. The association between the rs156697-G variant and NSCLC risk was further validated in two additional large population cohorts. The risk variant promoted inclusion of GSTO2 alternative exon 5 and led to higher expression of the GSTO2 full-length isoform (GSTO2-V1) and lower expression of the truncated GSTO2 isoform (GSTO2-V2), which was induced by RBP quaking (QKI). Mechanistically, compared with GSTO2-V1, GSTO2-V2 inhibited NSCLC cells proliferation by increasing S-glutathionylation of AKT1 and thereby functionally blocking AKT1 phosphorylation and activation. Overall, this study provides a comprehensive view of splicing variants linked to NSCLC risk and provides a set of genetic targets with therapeutic potential. Significance: Analysis of sQTL reveals the role of genetically driven mRNA splicing alterations in NSCLC risk and elucidates that rs156697 variant impacts risk by altering GSTO2 splicing.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

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