Evidence map›Paper›PMID 38035102›Full record

ArticleFrontiers in immunology2023

Unraveling immunotherapeutic targets for endometriosis: a transcriptomic and single-cell analysis.

Cankun Zhou, Minqing Feng, Yonglian Chen, Side Lv, Yifan Zhang, Jiebo Chen, Rujian Zhang, Xiaobin Huang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
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

19 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Roles of Goserelin in Gynecological Disorders.Drug design, development and therapy · 2026
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Endometriosis and autoimmunity.Autoimmunity reviews · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. 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

8 authors at 3 institutions in 1 country.

Cankun Zhou *Department of Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China.
Minqing Feng *Department of Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China.
Yonglian Chen *Department of Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China.
Side LvSouthern Medical University, Graduate School, Guangzhou, Guangdong, China.
Yifan ZhangDepartment of Gynecology, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
Jiebo ChenDepartment of Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China.
Rujian ZhangDepartment of Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China.
Xiaobin HuangDepartment of Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China.
Southern Medical University · CNFoshan Maternity and Child Health Care Hospital · CNShenZhen People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometriosis (EMs), a common gynecological disorder, adversely affects the quality of life of females. The pathogenesis of EMs has not been elucidated and the diagnostic methods for EMs have limitations. This study aimed to identify potential molecular biomarkers for the diagnosis and treatment of EMs. Methods: Differential gene expression (DEG) and functional enrichment analyses were performed using the R language. WGCNA, Random Forest, SVM-REF and LASSO methods were used to identify core immune genes. The CIBERSORT algorithm was then used to analyse the differences in immune cell infiltration and to explore the correlation between immune cells and core genes. In addition, the extent of immune cell infiltration and the expression of immune core genes were investigated using single-cell RNA (scRNA) sequencing data. Finally, we performed molecular docking of three core genes with dienogest and goserelin to screen for potential drug targets. Results: DEGs enriched in immune response, angiogenesis and estrogen processes. CXCL12, ROBO3 and SCG2 were identified as core immune genes. RT-PCR confirmed that the expression of CXCL12 and SCG2 was significantly upregulated in 12Z cells compared to hESCs cells. ROC curves showed high diagnostic value for these genes. Abnormal immune cell distribution, particularly increased macrophages, was observed in endometriosis. CXCL12, ROBO3 and SCG2 correlated with immune cell levels. Molecular docking suggested their potential as drug targets. Conclusion: This study investigated the correlation between EMs and the immune system and identified potential immune-related biomarkers. These findings provided valuable insights for developing clinically relevant diagnostic and therapeutic strategies for EMs.

Indexed as

EndometriosisTranscriptomeBiomarkersFemaleHumansImmunotherapyMolecular Docking SimulationQuality of LifeReceptors, Cell SurfaceRoundabout ProteinsSingle-Cell AnalysisBiomarkersReceptors, Cell SurfaceROBO3 protein, humanRoundabout ProteinsCIBERSORTendometriosisimmunemolecular dockingsingle-cell RNA sequencing

Identifiers

PMID38035102
PMCPMC10687456
OpenAlexW4388721711

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.