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Supplementary Data from Genetic Variants That Impact Alternative Polyadenylation in Cancer Represent Candidate Causal Risk Loci

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posted on 2023-11-01, 07:42 authored by Bin Li, Yimin Cai, Can Chen, Gaoyuan Li, Ming Zhang, Zequn Lu, Fuwei Zhang, Jinyu Huang, Linyun Fan, Caibo Ning, Yanmin Li, Wenzhuo Wang, Hui Geng, Yizhuo Liu, Shuoni Chen, Hanting Li, Shuhui Yang, Heng Zhang, Wen Tian, Zhongchao Zhu, Bin Xu, Heng Li, Haijie Li, Meng Jin, Xiaoyang Wang, Shaokai Zhang, Jiuyang Liu, Chaoqun Huang, Xiaojun Yang, Yongchang Wei, Ying Zhu, Jianbo Tian, Xiaoping Miao

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Funding

Program of National Natural Science Foundation of China

Young Elite Scientists Sponsorship Program by CAST

National Science Fund for Distinguished Young Scholars of Hubei Province of China

Fundamental Research Funds for the Central Universities

Knowledge Innovation Program of Wuhan

National Science Fund for Distinguished Young Scholars of China

Key Program of National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

the Fundamental Research Funds for the Central Universities

Youth Program of National Natural Science Foundation of China

National Science Fund for Excellent Young Scholars

the Leading Talent Program of the Health Commission of Hubei Province, Knowledge Innovation Program of Wuhan

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ARTICLE ABSTRACT

Alternative polyadenylation (APA) is emerging as a major mechanism of posttranscriptional regulation. APA can impact the development and progression of cancer, suggesting that the genetic determinants of APA might play an important role in regulating cancer risk. Here, we depicted a pan-cancer atlas of human APA quantitative trait loci (apaQTL), containing approximately 0.7 million apaQTLs across 32 cancer types. Systematic multiomics analyses indicated that cancer apaQTLs could contribute to APA regulation by altering poly(A) motifs, RNA-binding proteins (RBP), and chromatin regulatory elements and were preferentially enriched in genome-wide association studies (GWAS)–identified cancer susceptibility loci. Moreover, apaQTL-related genes (aGene) were broadly related to cancer signaling pathways, high mutational burden, immune infiltration, and drug response, implicating their potential as therapeutic targets. Furthermore, apaQTLs were mapped in Chinese colorectal cancer tumor tissues and then screened for functional apaQTLs associated with colorectal cancer risk in 17,789 cases and 19,951 controls using GWAS-ChIP data, with independent validation in a large-scale population consisting of 6,024 cases and 10,022 controls. A multi-ancestry–associated apaQTL variant rs1020670 with a C>G change in DNM1L was identified, and the G allele contributed to an increased risk of colorectal cancer. Mechanistically, the risk variant promoted aberrant APA and facilitated higher usage of DNM1L proximal poly(A) sites mediated by the RBP CSTF2T, which led to higher expression of DNM1L with a short 3′UTR. This stabilized DNM1L to upregulate its expression, provoking colorectal cancer cell proliferation. Collectively, these findings generate a resource for understanding APA regulation and the genetic basis of human cancers, providing insights into cancer etiology. Cancer risk is mediated by alternative polyadenylation quantitative trait loci, including the rs1020670-G variant that promotes alternative polyadenylation of DNM1L and increases colorectal cancer risk.

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