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

doi:10.1002/cac2.70008

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

Cancer Commun (Lond). 2025 Mar 22. doi: 10.1002/cac2.70008. Online ahead of print.

Authors

Xiaoping Cen^{1

2

3

4}, Yuanyuan Lan^{1

2}, Jiansheng Zou^{2

5}, Ruilin Chen^{2

5}, Can Hu⁶, Yahan Tong⁶, Chen Zhang^{1

2

3}, Jingyue Chen^{2

7}, Yuanmei Wang^{1

2

3}, Run Zhou^{1

2

3}, Weiwei He^{1

2}, Tianyu Lu^{1

3}, Fred Dubee³, Dragomirka Jovic³, Wei Dong^{2

8}, Qingqing Gao^{1

2

3}, Man Ma², Youyong Lu⁹, Yu Xue¹⁰, Xiangdong Cheng⁶, Yixue Li^{4

11}, Huanming Yang^{1

12

13}

Affiliations

¹ College of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.
² HIM-BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS), Hangzhou, Zhejiang, P. R. China.
³ BGI Research, Shenzhen, Guangdong, P. R. China.
⁴ Guangzhou National Laboratory, Guangzhou, Guangdong, P. R. China.
⁵ College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, P. R. China.
⁶ Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, P. R. China.
⁷ Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, P. R. China.
⁸ Clin Lab, BGI Genomics, Beijing, P. R. China.
⁹ Laboratory of Molecular Oncology, Peking University Cancer Hospital and Institute, Beijing, P. R. China.
¹⁰ MOE Key Laboratory of Molecular Biophysics, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
¹¹ GZMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou, Guangdong, P. R. China.
¹² BGI, Shenzhen, Guangdong, P. R. China.
¹³ James D. Watson Institute of Genome Sciences, Hangzhou, Zhejiang, P. R. China.

PMID: 40120098
DOI: 10.1002/cac2.70008

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.

Keywords: artificial intelligence; cancer biology; cancer treatment; multi‐omics; pan‐cancer.

Publication types

Review

Abstract

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