Evidence map›Paper›PMID 38759092›Full record

ArticleCancer research2024

Large-Scale Alternative Polyadenylation-Wide Association Studies to Identify Putative Cancer Susceptibility Genes.

Xingyi Guo, Jie Ping, Yaohua Yang, Xinwan Su, Xiao-Ou Shu, Wanqing Wen, Zhishan Chen, Yunjing Zhang, Ran Tao, Guochong Jia and 14 more

Abstract read
In one paragraph

Article in Cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0001-5269-1294
Jie PingDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0001-9907-5819
Yaohua YangCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia.ORCID 0000-0002-3815-7172
Xinwan SuInternational Institutes of Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, China.ORCID 0000-0002-7257-1860
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0002-0711-8314
Wanqing WenDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0002-3004-5168
Zhishan ChenDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0002-5893-8048
Yunjing ZhangInternational Institutes of Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, China.ORCID 0000-0002-8773-428X
Ran TaoDepartment of Biostatistics, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-1106-2923
Guochong JiaDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0002-8455-1832
Jingni HeDepartment of Biochemistry and Molecular Biology, University of Calgary, Calgary, Canada.ORCID 0000-0001-8049-9734
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0002-9384-5648
Qingrun ZhangDepartment of Mathematics and Statistics, Alberta Children's Hospital Research Institute, Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada.ORCID 0000-0003-2701-0711
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0003-4946-9099
Rachel PearlmanDivision of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.ORCID 0000-0002-9293-5860
Gad RennertDepartment of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel.ORCID 0000-0002-8512-068X
Pavel VodickaDepartment of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic.ORCID 0000-0003-2376-1243
Amanda PhippsPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-1446-2201
Stephen B GruberDepartment of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California.ORCID 0000-0001-8656-7822
Graham CaseyCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia.ORCID 0000-0003-1584-5551
Ulrike PetersPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0001-5666-9318
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0002-7433-9766
Weiqiang LinInternational Institutes of Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, China.ORCID 0000-0002-2171-8009
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.ORCID 0000-0003-1226-070X

Funding

Data sharing: the Colon Cancer Family Registry CohortU01CA167551 · NCI · UNIVERSITY OF MELBOURNE · PI Daniel David BUCHANAN, Steven Gallinger · 2018 to 2026
$16.8M
Breast Cancer genetic study in African-ancestry populationsR01CA202981 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Wei Zheng · 2016 to 2026
$14.1M
Transcriptome-wide association study to identify susceptibility genes for colorectal cancerR37CA227130 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GUO, XINGYI · 2018 to 2023
$3.7M
Integrating genomic and transcriptomic data to identify breast cancer susceptibility genesR01CA235553 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LONG, JIRONG, ZHENG, WEI · 2019 to 2024
$3.3M
Uncovering colorectal cancer etiology and biology by integrating proteomics with other omics dataR01CA269589 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xingyi Guo, Wei Zheng · 2023 to 2026
$2.9M
National Cancer Institute (NCI) R37CA227130NCI NIH HHS R01 CA202981NCI NIH HHS R01 CA235553NCI NIH HHS R01 CA269589NCI NIH HHS R37 CA227130NCI NIH HHS U01 CA167551
6 · The paper itself

Abstract

Alternative polyadenylation (APA) modulates mRNA processing in the 3'-untranslated regions (3' UTR), affecting mRNA stability and translation efficiency. Research into genetically regulated APA has the potential to provide insights into cancer risk. In this study, we conducted large APA-wide association studies to investigate associations between APA levels and cancer risk. Genetic models were built to predict APA levels in multiple tissues using genotype and RNA sequencing data from 1,337 samples from the Genotype-Tissue Expression project. Associations of genetically predicted APA levels with cancer risk were assessed by applying the prediction models to data from large genome-wide association studies of six common cancers among European ancestry populations: breast, ovarian, prostate, colorectal, lung, and pancreatic cancers. A total of 58 risk genes (corresponding to 76 APA sites) were associated with at least one type of cancer, including 25 genes previously not linked to cancer susceptibility. Of the identified risk APAs, 97.4% and 26.3% were supported by 3'-UTR APA quantitative trait loci and colocalization analyses, respectively. Luciferase reporter assays for four selected putative regulatory 3'-UTR variants demonstrated that the risk alleles of 3'-UTR variants, rs324015 (STAT6), rs2280503 (DIP2B), rs1128450 (FBXO38), and rs145220637 (LDHA), significantly increased the posttranscriptional activities of their target genes compared with reference alleles. Furthermore, knockdown of the target genes confirmed their ability to promote proliferation and migration. Overall, this study provides insights into the role of APA in the genetic susceptibility to common cancers. Significance: Systematic evaluation of associations of alternative polyadenylation with cancer risk reveals 58 putative susceptibility genes, highlighting the contribution of genetically regulated alternative polyadenylation of 3'UTRs to genetic susceptibility to cancer.

Indexed as

3' Untranslated RegionsGenetic Predisposition to DiseaseGenome-Wide Association StudyNeoplasmsPolyadenylationCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMalePolymorphism, Single NucleotideQuantitative Trait LociRNA, Messenger3' Untranslated RegionsRNA, Messenger

Identifiers

PMID38759092
PMCPMC11326986

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.