Evidence mapPaperPMID 42389486Full record

ReviewJournal of pharmaceutical analysis2026

Immunocyte senescence: A new perspective on the remodeling of the ovarian cancer microenvironment and therapeutic intervention.

Xiang Li, Xian Li, Sha Ni, Xiaohui Zhang, Bingnan Liu

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical analysis, 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

5 authors.

Xiang LiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Xian LiDepartment of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Sha NiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Xiaohui ZhangDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Bingnan LiuDepartment of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune cell senescence in ovarian cancer manifests as distinct phenotypic alterations in T cells, natural killer (NK) cells, macrophages, and dendritic cells (DCs), alongside dynamic crosstalk with the tumor microenvironment (TME). This senescence contributes substantially to the high mortality and therapeutic resistance characteristic of ovarian carcinoma. Senescent immune cells develop a senescence-associated secretory phenotype (SASP), secreting pro-tumorigenic cytokines and chemokines that drive regulatory T cell (Treg) expansion, extracellular matrix (ECM) remodeling, and the establishment of an immunosuppressive niche. Key drivers of immunocyte senescence include telomere erosion, epigenetic dysregulation, metabolic stress, DNA damage from chemotherapy, and chronic inflammatory signals. Emerging interventions, such as senolytic agents to selectively eliminate senescent immune cells, senomorphic compounds to attenuate SASP factors, and strategies to reprogram immune effectors, hold promise for restoring antitumor immunity and overcoming resistance to conventional therapies. A deeper understanding of the molecular mechanisms governing immunosenescence will be critical for the rational design of combination regimens and the development of next-generation immunotherapies in ovarian cancer.

Indexed as

Immunocyte senescenceOvarian cancerTargeted therapyTherapeutic resistanceTumor microenvironment

Identifiers

PMID42389486
PMCPMC13320032

What Socratic holds

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LicenceCC BY
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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.