Evidence map›Paper›PMID 40166682›Full record

ArticleFrontiers in endocrinology2025

The expression of autophagy-related gene CXCL12 in endometriosis associated ovarian cancer and pan-cancer analysis.

Mingwei Yuan, Sijing Chen, Zelan Liao, Kana Wang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

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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

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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. Article
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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

4 authors.

Mingwei YuanDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Sijing ChenDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Zelan LiaoDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Kana WangDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometriosis-associated ovarian cancer (EAOC), an aggressive form of malignant ovarian neoplasm with origins in endometriosis (EM), has risen to prominence recently. Despite extensive investigation, the precise pathophysiology remains elusive.This article explores new autophagy-related DEG genes between EM and EAOC, and investigates CXCL12's expression and prognostic relevance across pan-cancer. Methods: From Gene Expression Omnibus (GEO), we retrieved gene sequencing data to uncover DEGs. We carried out enrichment analysis, PPI network construction and explored CXCL12's multi-database expression and prognostic significance employing the analytical tools of ONCOMINE, PrognoScan, GEPIA, and Kaplan-Meier Plotter. Subsequently, assessing the relationship between CXCL12 expression and immune presence in cancer utilizing GEPIA and TIMER. Lastly, CXCL12, IL17, STAT3, and FOXP3 protein expressions were determined through immunohistochemistry analysis in EAOC, EM, and normal endometrial tissues. Results: Two DEGs were discovered and enrichment analysis indicated virus-cytokine/receptor interactions, chemokine signaling, and cytokine-cytokine receptor interplay as pivotal in EAOC. Notably, cancerous tissues exhibited reduced CXCL12 levels compared with non-malignant tissues across cancers. CXCL12, IL17, STAT3, Th17/Treg ratio, and FOXP3 expressions were also lower in EAOC than EM and normal tissues. Additionally, CXCL12 expression was related to stage, survival, immune subtype, and molecular classification across cancers. Conclusions: In conclusion, our study implicates CXCL12 and altered Th17/Treg balance in progression from EM to EAOC. CXCL12 emerges as a predictive marker for cancer progression across various tumors and is associated with inflammatory response.

Indexed as

AutophagyChemokine CXCL12EndometriosisGene Expression Regulation, NeoplasticOvarian NeoplasmsBiomarkers, TumorFemaleHumansPrognosisBiomarkers, TumorChemokine CXCL12CXCL12 protein, humanautophagyendometriosis-associated ovarian cancerimmune infiltrationintegrated bioinformatics approachespan-cancersurvival analysis

Identifiers

PMID40166682
PMCPMC11955448

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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.