Evidence map›Paper›PMID 40510156›Full record

ReviewFrontiers in oncology2025

Senescence-associated secretory phenotype in lung cancer: remodeling the tumor microenvironment for metastasis and immune suppression.

Chen Chen, Ji Chen, Yanling Zhang, Qijun Zhang, Haixia Shi

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. 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

5 authors.

Chen Chen *Department Traditional of Chinese Medicine (TCM), Shanghai Pudong New Area Pulmonary Hospital, Shanghai, China.
Ji Chen *Department Traditional of Chinese Medicine (TCM), Shanghai Pudong New Area Pulmonary Hospital, Shanghai, China.
Yanling ZhangDepartment Traditional of Chinese Medicine (TCM), Shanghai Pudong New Area Pulmonary Hospital, Shanghai, China.
Qijun ZhangDepartment of Oncology, Integrated Traditional Chinese and Western Medicine Hospital of Shanghai Minhang District, Shanghai, China.
Haixia ShiDepartment of Traditional Chinese Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence exerts dual roles in lung cancer pathogenesis: initially suppressing tumorigenesis via p53/p21/p16-mediated cell cycle arrest, but promoting malignancy through the senescence-associated secretory phenotype (SASP). SASP secretes cytokines, proteases, and growth factors, reshaping the tumor microenvironment (TME) to drive immune evasion, metastasis, and therapy resistance. NF-κB activation induces APOBEC3B mutagenesis and PD-L1 overexpression, while mTOR signaling enhances glycolysis and OXPHOS to fuel tumor growth. Clinically, telomere attrition, p16/p21 expression, and SASP components serve as prognostic biomarkers. Therapeutic strategies target senescent cells and SASP. Future directions focus on single-cell multi-omics to decode senescence heterogeneity, spatially controlled drug delivery, and therapies targeting senescence-immune-metabolic crosstalk. By unraveling senescence's dual regulatory mechanisms, this review highlights precision approaches to overcome resistance and improve lung cancer outcomes.

Indexed as

cellular senescencelung cancerprecision medicineSASPtherapy resistance

Identifiers

PMID40510156
PMCPMC12159025

What OpenQuestion 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 OpenQuestion graph.