Multi-omics characterization of silent and productive HPV integration in cervical cancer

Junpeng Fan, Yu Fu, Wenju Peng, Xiong Li, Yuanming Shen, Ensong Guo, Funian Lu, Shengtao Zhou, Si Liu, Bin Yang, Xu Qin, Dianxing Hu, Rourou Xiao, Xi Li, Siqi Yang, Cunzhong Yuan, Yao Shu, He Huang, Ting Wan, Yanan PiShuxiang Wang, Wenjuan Chen, Haixia Wang, Lin Zhong, Li Yuan, Baogang Wen, Beihua Kong, Gordon B. Mills, Dongling Zou, Bairong Xia, Kun Song, Gang Chen, Ding Ma, Chaoyang Sun

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Cervical cancer (CC) that is caused by high-risk human papillomavirus (HPV) remains a significant public health problem worldwide. HPV integration sites can be silent or actively transcribed, leading to the production of viral-host fusion transcripts. Herein, we demonstrate that only productive HPV integration sites were nonrandomly distributed across both viral and host genomes, suggesting that productive integration sites are under selection and likely to contribute to CC pathophysiology. Furthermore, using large-scale, multi-omics (clinical, genomic, transcriptional, proteomic, phosphoproteomic, and single-cell) data, we demonstrate that tumors with productive HPV integration are associated with higher E6/E7 proteins and enhanced tumor aggressiveness and immunoevasion. Importantly, productive HPV integration increases from carcinoma in situ to advanced disease. This study improves our understanding of the functional consequences of HPV fusion transcripts on the biology and pathophysiology of HPV-driven CCs, suggesting that productive HPV integration should be evaluated as an indicator of high risk for progression to aggressive cancers.

Original languageEnglish (US)
Article number100211
JournalCell Genomics
Volume3
Issue number1
DOIs
StatePublished - Jan 11 2023

Keywords

  • HPV fusion transcripts
  • HPV integration
  • cervical cancer
  • multi-omics

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Genetics

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