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WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell
Sheng Dou1,2,3,4,5, Shaohua Ling3,6, Weihua Nong1,2,3,4,5
1Reproductive Medicine Center, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China.
Functional & Integrative Genomics
|June 19, 2025
Summary
WISP2/CCN5 gene expression increases with endometriosis progression. This gene may serve as a novel, non-invasive biomarker for early diagnosis of this common gynecological condition.
Area of Science:
- Gynecological research
- Biomarker discovery
- Precision medicine
Background:
- Endometriosis is a common gynecological disease affecting millions of women globally.
- Current diagnosis via laparoscopy has a significant delay (7-10 years) from symptom onset.
- Non-invasive biomarkers are needed for early screening and diagnosis.
Purpose of the Study:
- To identify novel non-invasive biomarkers for endometriosis.
- To investigate the role of WISP2/CCN5 in endometriosis progression.
- To advance endometriosis research towards precision medicine.
Main Methods:
- Utilized machine learning algorithms to identify hub genes.
- Selected WISP2/CCN5 as a potential diagnostic biomarker.
- Analyzed gene expression in eutopic and ectopic endometrial tissues.
- Performed cell communication analysis to understand signaling pathways.
Main Results:
- Identified WISP2/CCN5 as a potential diagnostic biomarker for endometriosis.
- Observed significantly elevated WISP2/CCN5 expression in ectopic endometrium compared to eutopic endometrium.
- Found that WISP2/CCN5 expression increases progressively from normal to eutopic to ectopic endometrial tissue.
- Discovered that WISP2/CCN5 expression in stem cells within ectopic lesions is mediated by MAPK and Wnt signaling pathways, downstream of FGF.
Conclusions:
- Progressively increased WISP2/CCN5 expression correlates with the transition of endometrial tissue from normal to eutopic and ectopic states.
- WISP2/CCN5 shows potential as a novel biomarker for endometriosis.
- Findings contribute to the development of non-invasive diagnostic tools for endometriosis.

