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Genetic Variants That Impact Alternative Polyadenylation in Cancer Represent Candidate Causal Risk Loci.
Li, Bin; Cai, Yimin; Chen, Can; Li, Gaoyuan; Zhang, Ming; Lu, Zequn; Zhang, Fuwei; Huang, Jinyu; Fan, Linyun; Ning, Caibo; Li, Yanmin; Wang, Wenzhuo; Geng, Hui; Liu, Yizhuo; Chen, Shuoni; Li, Hanting; Yang, Shuhui; Zhang, Heng; Tian, Wen; Zhu, Zhongchao; Xu, Bin; Li, Heng; Li, Haijie; Jin, Meng; Wang, Xiaoyang; Zhang, Shaokai; Liu, Jiuyang; Huang, Chaoqun; Yang, Xiaojun; Wei, Yongchang; Zhu, Ying; Tian, Jianbo; Miao, Xiaoping.
Afiliación
  • Li B; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Cai Y; Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Chen C; Department of Radiation Oncology, Renmin Hospital of Wuhan University, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China.
  • Li G; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Zhang M; Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Lu Z; Department of Radiation Oncology, Renmin Hospital of Wuhan University, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China.
  • Zhang F; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Huang J; Department of Gastrointestinal Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Fan L; Department of Radiation Oncology, Renmin Hospital of Wuhan University, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China.
  • Ning C; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Li Y; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Wang W; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Geng H; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Liu Y; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Chen S; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Li H; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Yang S; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Zhang H; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Tian W; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Zhu Z; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Xu B; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Li H; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Li H; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Jin M; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Wang X; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
  • Zhang S; Department of Pancreatic Surgery Department, Renmin Hospital of Wuhan University, Wuhan, China.
  • Liu J; Cancer Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China.
  • Huang C; Department of Urology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yang X; Department of Gastrointestinal Cancer Research Institute, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Wei Y; Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhu Y; Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China.
  • Tian J; Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China.
  • Miao X; Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.
Cancer Res ; 83(21): 3650-3666, 2023 11 01.
Article en En | MEDLINE | ID: mdl-37669142
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. SIGNIFICANCE: 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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Estudio de Asociación del Genoma Completo Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Cancer Res Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Estudio de Asociación del Genoma Completo Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Cancer Res Año: 2023 Tipo del documento: Article País de afiliación: China