Building Disease Models for Endometriosis: iPSCs as Game-Changers

Kahar KH, Khalisa H. Kahar, Bushra E-Anjum, E-Anjum B, Fazlina Nordin, A M H Ng, Ng AMH, Angela Min Hwei Ng, Nor Haslinda Abd Aziz, Izyan Mohd Idris, Gee Jun Tye, Wan Kamarul Zaman WS, Wan Safwani Wan Kamarul Zaman
International journal of molecular sciences · 2026 · vol. 27(12) , pp. 5614 · doi:10.3390/ijms27125614 · PMID:42353327 · W7165629870
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This review evaluates patient-derived induced pluripotent stem cell models for endometriosis, synthesizing over 170 publications to assess their potential for understanding the disease and advancing personalized therapeutic discovery.

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Abstract

This review aims to evaluate the potential of endometriosis models, especially patient-derived iPSC models, to gain deeper insights into the disease, thereby advancing our understanding and treatment of endometriosis. This comprehensive narrative review utilized a structured search of the PubMed, Scopus, and Web of Science databases, primarily covering literature published between January 2000 and May 2025. An expansive search strategy was employed to capture the full breadth of the field using keywords such as "endometriosis," "induced pluripotent stem cells (iPSCs)," "patient-derived organoids," "disease modeling," and "epigenetics" without restrictive filtering, ensuring the integration of both foundational theories and emerging biotechnological advances. In total, over 170 peer-reviewed publications were analyzed, ranging from landmark genomic meta-analyses that have identified significant risk loci to state-of-the-art 3D-culture systems for modeling patient-specific endometrial disease. By synthesizing these diverse sources, the review bridges the gap between traditional anatomical classifications and modern molecular modeling to evaluate the potential of iPSC platforms for personalized medicine and therapeutic discovery. Endometriosis is a multifactorial gynecological condition that affects 176 million women worldwide and can significantly impair quality of life. It occurs when endometrium-like tissue grows outside the uterus, responsive to ovarian hormones, causing inflammation, pain, and discomfort, and leading to fibrotic tissue. World Health Organization estimates indicate that 6-10% of women suffer from this disorder, which can cause infertility and increase the risk of developing various types of cancer and autoimmune disorders. The use of patient-derived iPSC models serves to gain deeper insights into the disease by mimicking the endometrial tissue or lesions observed in affected individuals, thereby advancing our understanding and treatment of endometriosis.

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MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (100)

SciLite annotations

organisms 2
noordeloos 2009062 noordeloos 2009062

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