Evidence map›Paper›PMID 40899323›Full record

ArticleCancer science2025

Integrative Transcriptomic Analysis Decodes the Interplay Between Aging, Senescence, and Cancer.

Jiale Cai, Deng Wu, Dahua Xu, Fujin Liu, Peihu Li, Dehua Zheng, Zhizhou Xu, Meng Cao, Yutong Shen, Nihui Zhang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Jiale CaiCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Deng WuCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Dahua XuCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Fujin LiuCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Peihu LiCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Dehua ZhengCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Zhizhou XuCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Meng CaoCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Yutong ShenCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Nihui ZhangCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Guanghui TianCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Chengyi FanCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Bo WangCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Kongning LiCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.ORCID https://orcid.org/0000-0002-4928-6922
Xiaoman BiCollege of Biomedical Information and Engineering, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.ORCID https://orcid.org/0000-0003-4464-5014

Funding

Hainan Provincial Natural Science Foundation of China 822QN462Hainan Provincial Natural Science Foundation of China 823RC581Hainan Provincial Natural Science Foundation of China 824QN271Hainan Provincial Natural Science Foundation of China 825QN315Innovative Research Project for Graduate Students in Hainan Medical University HYYB2023A06Major Science and Technology Program of Hainan Province ZDKJ2021040National Natural Science Foundation of China 32160152National Natural Science Foundation of China 32400543Program of Hainan Association for Science and Technology Plans to Youth R & D Innovation QCQTXM202212
6 · The paper itself

Abstract

Cancer risk increases with age, and cellular senescence may be a major contributor to cellular carcinogenesis. Enormous efforts have been made to investigate the interrelation between aging and tumors, but little is known about the comparative features of normal aging, cellular senescence, and cancer at single-cell resolution. By integrating analyses of genomics, epigenomics, and bulk and single-cell transcriptomics, we revealed a directionally opposite transcriptional profile between cellular senescence and tumorigenesis at the single-cell level, which may be affected by epigenomic regulations. A total of 648 aging-dependent senescence-associated coregulated modules (SACMs), disproportionately affecting the reproductive systems of both females and males, were initially defined across 17 tissues. Single-cell analysis revealed that aging primarily affects endothelial cells, followed by T cells, epithelial cells, macrophages, and fibroblasts. Opposite directions of change in gene expression between aging and cancer can commonly be observed in endothelial, fibroblast, and epithelial cells, which may prompt the opposing patterns of gene expression between tissue aging and epithelial carcinoma at the bulk level. A similar pattern of expression can be observed in immune cells, which are characterized by decreased self-renewal with aging, but this pattern is reversed in epithelial carcinoma. Our study highlighted the role of senescence as a natural barrier against tumor formation and supported the idea that aging-related systemic environment changes create a protumorigenic milieu.

Indexed as

AgingCellular SenescenceNeoplasmsTranscriptomeAnimalsCarcinogenesisFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleSingle-Cell Analysisagingcancercellular senescenceepithelial cellssingle‐cell resolution

Identifiers

PMID40899323
PMCPMC12580880

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.