Evidence map›Paper›PMID 40777020›Full record

ArticleFrontiers in immunology2025

Cancer-specific senescence signature promotes malignant phenotypes and immunotherapy resistance in colorectal cancer.

Wei Wang, Fengyu Ling, Dong Huang, Guomin Luo, Bixia Duan

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

5 authors.

Wei WangDepartment of Oncology, The Affiliated Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Fengyu LingDepartment of Oncology, The Affiliated Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Dong HuangDepartment of Oncology and Hematology, Fengdu General Hospital, Chongqing, China.
Guomin LuoDepartment of Oncology, The Affiliated Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Bixia DuanDepartment of Oncology, The Affiliated Yongchuan Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While cellular senescence in colorectal cancer (CRC) exhibits strong correlations with immunotherapy response and clinical prognosis, its mechanistic basis remains elusive, and validated predictive biomarkers are currently unavailable. Methods: In this study, we integrated single-cell and bulk transcriptomic data to establish a cancer-specific senescence signature (CSS). Systematic biological characterization revealed that the CSS remodels the tumor microenvironment (TME), primarily through perturbed immune cell infiltration and CD8 Results: Our analyses validated the CSS as both a prognostic biomarker and immunotherapy predictor in CRC. CSS-high tumors displayed diminished cytotoxic T-cell infiltration and impaired CD8 Conclusion: Collectively, CSS drives tumor aggressiveness and independently predicts unfavorable survival outcomes and immunotherapy resistance in CRC. Notably, afatinib targeting of CSS selectively eliminated senescent cells via apoptosis while inhibiting tumor growth, highlighting its therapeutic potential for CSS-high malignancies.

Indexed as

Cellular SenescenceColorectal NeoplasmsDrug Resistance, NeoplasmImmunotherapyBiomarkers, TumorCD24 AntigenCD8-Positive T-LymphocytesCell Line, TumorHCT116 CellsHumansLymphocytes, Tumor-InfiltratingPhenotypePrognosisTumor MicroenvironmentBiomarkers, TumorCD24 Antigencolorectal cancerimmunotherapy resistanceprognosissenescencetumor immunity

Identifiers

PMID40777020
PMCPMC12328160

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Registered trials

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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.