Evidence map›Paper›PMID 40120098›Full record

ReviewCancer communications (London, England)2025

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 and 12 more

Abstract readReview
In one paragraph

Review in Cancer communications (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Pan-cancer characterization ofTranslational cancer research · 2026
    Article
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  8. Review
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  19. Review
  20. The Prognostic Significance of TMSB4X in Glioma Patients.International journal of general medicine · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Xiaoping CenCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.ORCID https://orcid.org/0000-0002-4848-4302
Yuanyuan LanCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.ORCID https://orcid.org/0009-0009-0409-8360
Jiansheng ZouHIM-BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS), Hangzhou, Zhejiang, P. R. China.
Ruilin ChenHIM-BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS), Hangzhou, Zhejiang, P. R. China.
Can HuZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, P. R. China.
Yahan TongZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, P. R. China.
Chen ZhangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.
Jingyue ChenHIM-BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS), Hangzhou, Zhejiang, P. R. China.
Yuanmei WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.
Run ZhouCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.
Weiwei HeCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.
Tianyu LuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.
Fred DubeeBGI Research, Shenzhen, Guangdong, P. R. China.
Dragomirka JovicBGI Research, Shenzhen, Guangdong, P. R. China.
Wei DongHIM-BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS), Hangzhou, Zhejiang, P. R. China.
Qingqing GaoCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.
Man MaHIM-BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS), Hangzhou, Zhejiang, P. R. China.
Youyong LuLaboratory of Molecular Oncology, Peking University Cancer Hospital and Institute, Beijing, P. R. China.
Yu XueMOE 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.
Xiangdong ChengZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, P. R. China.ORCID https://orcid.org/0000-0002-5099-490X
Yixue LiGuangzhou National Laboratory, Guangzhou, Guangdong, P. R. China.
Huanming YangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.

Funding

CAS Research Fund XDB38050200Healthy Zhejiang One Million People Cohort K-20230085National Key Research and Development Program of China 2021YFA0910100Self-supporting Program of Guangzhou Laboratory SRPG22007
6 · The paper itself

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.

Indexed as

Medical OncologyMultiomicsNeoplasmsBiomedical ResearchDatasets as TopicHumansPrecision Medicineartificial intelligencecancer biologycancer treatmentmulti‐omicspan‐cancer

Identifiers

PMID40120098
PMCPMC12328095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.