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A distinct class of pan-cancer susceptibility genes revealed by an alternative polyadenylation transcriptome-wide association study

  • Hui Chen
  • , Zeyang Wang
  • , Lihai Gong
  • , Qixuan Wang
  • , Wenyan Chen
  • , Jia Wang
  • , Xuelian Ma
  • , Ruofan Ding
  • , Xing Li
  • , Xudong Zou
  • , Mireya Plass
  • , Cheng Lian
  • , Ting Ni
  • , Gong Hong Wei
  • , Wei Li
  • , Lin Deng
  • , Lei Li
  • Shenzhen Bay Laboratory
  • L'Hospitalet de Llobregat
  • P-CMR[C]
  • Biomaterials and Nanomedicine (CIBER-BBN)
  • Fudan University
  • Fudan University
  • University of Oulu
  • University of California

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Alternative polyadenylation plays an important role in cancer initiation and progression; however, current transcriptome-wide association studies mostly ignore alternative polyadenylation when identifying putative cancer susceptibility genes. Here, we perform a pan-cancer 3′ untranslated region alternative polyadenylation transcriptome-wide association analysis by integrating 55 well-powered (n > 50,000) genome-wide association studies datasets across 22 major cancer types with alternative polyadenylation quantification from 23,955 RNA sequencing samples across 7,574 individuals. We find that genetic variants associated with alternative polyadenylation are co-localized with 28.57% of cancer loci and contribute a significant portion of cancer heritability. We further identify 642 significant cancer susceptibility genes predicted to modulate cancer risk via alternative polyadenylation, 62.46% of which have been overlooked by traditional expression- and splicing- studies. As proof of principle validation, we show that alternative alleles facilitate 3′ untranslated region lengthening of CRLS1 gene leading to increased protein abundance and promoted proliferation of breast cancer cells. Together, our study highlights the significant role of alternative polyadenylation in discovering new cancer susceptibility genes and provides a strong foundational framework for enhancing our understanding of the etiology underlying human cancers.

Original languageEnglish
Article number1729
JournalNature Communications
Volume15
Issue number1
DOIs
StatePublished - Dec 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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