The Role of Molecular Characterization in Precision Medicine in Endometriosis

Indel Travis Niles, Niles IT, Martina Scialabba, Scialabba M, Roxanne Lacouline Boulanger, Lacouline Boulanger R, Gaëlle Akiki, Akiki G, Diwan SS, Sarah-Slim Diwan, Leung SOA, Shuk On Annie Leung, Andrew Zakhari, Zakhari A, Basile Tessier-Cloutier, Tessier-Cloutier B, Basile Tessier‐Cloutier, Dong Bach Nguyen, Nguyen DB
Obstetrics and gynecology · 2026 · vol. 148(3) , pp. 295–305 · doi:10.1097/aog.0000000000006352 · PMID:42314180 · W7165180831
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⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-06-21 ⓘ

This review explains endometriosis's complex molecular drivers beyond hormonal imbalance, highlighting the need for larger studies to connect genetic profiles with symptoms for personalized diagnosis and treatment.

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⚙ AI-generated deep summary by qwen3.7-flash, 2026-08-16 · read from full text ⓘ

This review article examines the molecular landscape of endometriosis to advance precision medicine strategies for this chronic condition. It highlights that the disease involves complex genetic drivers, hormonal influences, and physical changes like neuroangiogenesis rather than simple hormonal imbalances. The authors note a significant limitation in current research, citing the heterogeneity of the disease and the retrospective nature of existing studies which prevent the identification of reliable biomarkers. They argue that larger, more diverse studies are necessary to link specific genetic profiles with clinical phenotypes for improved diagnosis and treatment planning. This paper is centrally about endometriosis — specifically focusing on molecular characterization and its potential for personalized therapeutic interventions.

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Abstract

Endometriosis is a chronic condition in which tissue similar to the lining of the uterus grows in other parts of the body. It affects roughly 1 in 10 women of reproductive age, often causing severe pelvic pain and infertility. Despite how common it is, patients frequently wait nearly a decade for an accurate diagnosis, and current treatments often rely on trial and error rather than targeted science. This review simplifies the complex biologic "blueprint" of the disease to explain why it behaves the way it does. Recent research shows that endometriosis is more than a one-dimensional hormonal imbalance; it involves several key biologic factors, including genetic drivers, hormonal status, and physical changes such as neuroangiogenesis or fibrosis. Currently, no simple laboratory test or biomarker can predict how the disease will progress, largely because of the heterogeneity and small, retrospective nature of studies. To move toward personalized medicine, larger, more diverse studies that connect each patient's specific genetic profile to their symptoms and disease phenotype are needed. By mapping these molecular details, we can progress toward faster diagnoses, tailored care to each individual's disease burden, and recurrence risk stratification and surgical planning based on molecular characteristics.
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The Role of Molecular Characterization in Precision Medicine in Endometriosis - Indel Travis Niles - Martina Scialabba - Roxanne Lacouline Boulanger - Gaëlle Akiki - Sarah-Slim Diwan - Shuk On Annie Leung - Andrew Zakhari - Basile Tessier-Cloutier - Dong Bach Nguyen Endometriosis is a chronic condition in which tissue similar to the lining of the uterus grows in other parts of the body. It affects roughly 1 in 10 women of reproductive age, often causing severe pelvic pain and infertility. Despite how common it is, patients frequently wait nearly a decade for an accurate diagnosis, and current treatments often rely on trial and error rather than targeted science. This review simplifies the complex biologic “blueprint” of the disease to explain why it behaves the way it does. Recent research shows that endometriosis is more than a one-dimensional hormonal imbalance; it involves several key biologic factors, including genetic drivers, hormonal status, and physical changes such as neuroangiogenesis or fibrosis. Currently, no simple laboratory test or biomarker can predict how the disease will progress, largely because of the heterogeneity and small, retrospective nature of studies. To move toward personalized medicine, larger, more diverse studies that connect each patient's specific genetic profile to their symptoms and disease phenotype are needed. By mapping these molecular details, we can progress toward faster diagnoses, tailored care to each individual's disease burden, and recurrence risk stratification and surgical planning based on molecular characteristics. This review characterizes the molecular landscape of endometriosis, correlating morphology and architecture with clinical phenotypes to identify diagnostic markers and potential targets for future personalized therapeutics.

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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.

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