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Pan-cancer analysis shapes the understanding of cancer biology and medicine

  • Xiaoping Cen
  • , Yuanyuan Lan
  • , Jiansheng Zou
  • , Ruilin Chen
  • , Can Hu
  • , Yahan Tong
  • , Chen Zhang
  • , Jingyue Chen
  • , Yuanmei Wang
  • , Run Zhou
  • , Weiwei He
  • , Tianyu Lu
  • , Fred Dubee
  • , Dragomirka Jovic
  • , Wei Dong
  • , Qingqing Gao
  • , Man Ma
  • , Youyong Lu
  • , Yu Xue
  • , Xiangdong Cheng
  • Yixue Li, Huanming Yang
  • University of Chinese Academy of Sciences
  • Chinese Academy of Sciences
  • BGI Research
  • Guangzhou Laboratory
  • Zhejiang University of Technology
  • BGI Research
  • Peking University
  • Huazhong University of Science and Technology
  • Guangzhou Medical College
  • BGI-Shenzhen
  • Zhejiang University

Research output: Contribution to journalReview articlepeer-review

14 Scopus citations

Abstract

Advances in multi-omics datasets and analytical methods have revolutionized cancer research, offering a comprehensive, pan-cancer perspective. Pan-cancer studies identify shared mechanisms and unique traits across different cancer types, which are reshaping diagnostic and treatment strategies. However, continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine. This review summarized key findings from pan-cancer research and explored their potential to drive future advancements in oncology.

Original languageEnglish
Pages (from-to)728-746
Number of pages19
JournalCancer Communications
Volume45
Issue number7
DOIs
StatePublished - Jul 2025
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

Keywords

  • artificial intelligence
  • cancer biology
  • cancer treatment
  • multi-omics
  • pan-cancer

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