Evidence mapPaperPMID 42500653Full record

ReviewFrontiers in immunology2026

Decoding the tumor-aging axis: from bench to clinical.

Yuxin Wang, Guitong Lv, Xinyue Gao, Zheng Jin, Jiani Huang, Zhongyu Wang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. 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

6 authors.

Yuxin WangSchool of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
Guitong LvInstitute of Immunological Innovation and Translation, Chongqing Medical University, Chongqing, China.
Xinyue GaoInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
Zheng JinInstitute of Immunological Innovation and Translation, Chongqing Medical University, Chongqing, China.
Jiani HuangInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
Zhongyu WangInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population aging is a major global health challenge and a principal risk factor for cancer. Aging does not simply increase mutational burden; it reshapes tissue homeostasis across genetic, epigenetic, metabolic, immune, and systemic dimensions. Genomic instability, epigenetic drift, mitochondrial dysfunction, and metabolic rewiring collectively establish a tumor-permissive landscape that enhances clonal diversification and lowers the threshold for malignant transformation. Concurrently, accumulation of senescent cells and the senescence-associated secretory phenotype (SASP) remodel the microenvironment, promote immune suppression, and weaken tumor surveillance, further exacerbated by immunosenescence and gut microbiota dysbiosis. Importantly, cancer progression feeds back to accelerate organismal aging. Tumor burden and therapy-induced stress destabilize hematopoietic and non-hematopoietic stem cell niches, disrupt systemic metabolic homeostasis, and induce neuroendocrine reprogramming, thereby amplifying multi-organ functional decline. Aging and cancer therefore constitute a bidirectional and self-reinforcing network rather than a linear cause-effect relationship. In this review, we synthesize mechanistic, clinical, and translational evidence defining the tumor-aging axis and discuss emerging strategies aimed at interrupting this pathogenic cycle.

Indexed as

AgingNeoplasmsAnimalsCell Transformation, NeoplasticCellular SenescenceHumansSenescence-Associated Secretory PhenotypeTumor Microenvironmentaging and cancercellular senescenceimmunosenescencesenescence-associated secretory phenotypetumor-aging axis

Identifiers

PMID42500653
PMCPMC13396171

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.