Evidence map›Paper›PMID 42483306›Full record

ArticleStem cells international2026

Integrative Transcriptomic Analysis Identifies a Key Candidate Gene Bridging Inflammation and DNA Repair in Endometriosis.

Juan Wang, Wangshu Li, Jiuxiang Feng, Zhongmin Wang

Abstract read
In one paragraph

Article in Stem cells international, 2026. 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. 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

4 authors.

Juan WangDepartment of Gynecology, Dalian Medical University, Dalian 116021, Liaoning Province, China, dlmedu.edu.cn.ORCID https://orcid.org/0009-0009-2442-918X
Wangshu LiDepartment of Gynecology, Dalian Women and Children's Medical Group, Dalian 116012, Liaoning Province, China.ORCID https://orcid.org/0000-0002-8899-0672
Jiuxiang FengDepartment of Gynecology, Dalian Women and Children's Medical Group, Dalian 116012, Liaoning Province, China.ORCID https://orcid.org/0009-0008-2784-658X
Zhongmin WangDepartment of Gynecology, Dalian Medical University, Dalian 116021, Liaoning Province, China, dlmedu.edu.cn.ORCID https://orcid.org/0009-0009-7515-4446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometriosis is a chronic, estrogen-dependent inflammatory disorder characterized by the ectopic implantation of endometrial-like tissue. Although retrograde menstruation is highly prevalent, only a subset of women develops the disease. This epidemiologic paradox suggests that intrinsic molecular alterations in the eutopic endometrium may precondition refluxed cells to survive under inflammatory and oxidative stress. Methods: Eutopic endometrial transcriptomes from the GSE6364 dataset (21 endometriosis patients and 16 controls) were analyzed across menstrual phases. Differential expression analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, and hallmark inflammatory gene set profiling were performed. Protein-protein interaction (PPI) networks and three machine-learning algorithms maximal clique centrality (MCC), random forest (RF), and least absolute shrinkage and selection operator (LASSO) were applied to identify robust feature genes. Immune cell infiltration was estimated using CIBERSORT . Excision repair cross-complementation group 1 (ERCC1) was further evaluated via cross-species evolutionary conservation and in silico structural modeling of high-risk variants. Additionally, an exploratory stemness-related single-sample gene set enrichment analysis (ssGSEA) was conducted, and correlations between the stemness score and the feature genes were examined. Results: A total of 443 differentially expressed genes (DEGs) were identified, which were significantly enriched in inflammatory cascades, including the NF-κB, Toll-like receptor, and cytokine signaling pathways. Four convergent feature genes ERCC1, SOX3, P75NTR (encoded by NGFR), and FPR1 were prioritized. Immune deconvolution revealed selective immune remodeling in the eutopic endometrium, characterized by elevated activated natural killer (NK) cells and reduced CD8 Conclusions: These findings highlight a stress-adaptive transcriptomic state in the eutopic endometrium driven by inflammatory signaling, selective immune remodeling, and altered DNA repair capacity. Specifically, ERCC1 may serve as a critical mechanistic link between inflammatory pressure and impaired genomic maintenance, thereby facilitating cellular persistence and lesion establishment. Furthermore, our data indicate that this four-gene signature primarily reflects a DNA-repair-adaptive program rather than a global bulk-tissue stemness shift.

Indexed as

DNA repairendometriosisimmune infiltrationinflammationtranscriptomics

Identifiers

PMID42483306
PMCPMC13386477

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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.