Cited by 237Endometriosis Research and TreatmentEctopic Pregnancy Diagnosis and ManagementGynecological conditions and treatments

Endometrial alterations in endometriosis: a systematic review of putative biomarkers

May, K.E., Villar, J., Kirtley, S., Kennedy, S.H., Becker, C.M.·2011·Human Reproduction Update

Abstract

BACKGROUND: Endometriosis is usually diagnosed by an invasive procedure such as a laparoscopy. Great interest therefore lies in the potential to identify biomarkers which may be surrogates of disease presence or activity, especially relating to the effects of therapy. We have reviewed the existing literature on endometrial differences in women with endometriosis, and assess their potential use as disease biomarkers. METHODS: We used QUADAS (Quality Assessment of Diagnostic Accuracy Studies) criteria to conduct a systematic review of published papers over the past 25 years on the subject of endometrial differences in endometriosis. We searched for all studies assessing differences between eutopic endometrium of women with and without endometriosis. RESULTS: We identified 182 relevant articles that are summarized in the review. These studies assess over 200 potential biomarkers, including hormones and their receptors (n = 29), cytokines (n = 25), factors identified using proteomics (n = 8) and histological analysis (n = 10) of endometrial tissue. Sensitivity and specificity were reported or could be calculated for only 32 articles, and ranged from 0 to 100%. Of the nine highest quality studies, six identified putative biomarkers related to nerve fibre growth or cell cycle control, highlighting these areas as promising candidates for future biomarker research. CONCLUSIONS: This systematic review identified several reports of endometrial differences which have the potential to be biomarkers of endometriosis. However, larger studies in well-defined populations are clearly required to determine their true usefulness.

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Crossref · 10.1093/humupd/dmr013

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194 of 194 references verified0 citation errors · 0 not checkable

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  • Array-based global and targeted gene expression studies have identified genes and pathways that may be involved in disease pathogenesis and reveal potential candidates for the development of an endometrial-based biomarker.

    “Both array-based global and targeted gene expression studies [113] have identified genes and pathways that may be involved in disease pathogenesis and reveal potential candidates for the development of an endometrial-based biomarker.”

    From Update on biomarkers for the detection of endometriosis (2015) · cites this paper as [113]

  • A systematic review of over 200 potential endometrial biomarkers revealed sensitivity and specificity ranging from 0 to 100%, with sensitivity and specificity reported in only 32 articles.

    “A systematic review of over 200 potential endometrial biomarkers, including hormones and their receptors (n = 29), cytokines (n = 25), factors identified through proteomics (n = 8), and histology (n = 10) revealed sensitivity and specificity (reported in only 32 articles) ranging from 0 to 100% [113].”

    From Update on biomarkers for the detection of endometriosis (2015) · cites this paper as [113]

  • The adoption of validated, internationally agreed upon standard operating procedures (SOPs) for tissue sample collection, processing and storage, and standardized phenotypic and other patient data collection, are crucial to optimise sample quality, reduce variability, and enable cross-centre studies.

    “The adoption of validated, internationally agreed upon standard operating procedures (SOPs) for tissue sample collection, processing and storage, and standardized phenotypic and other patient data collection, are crucial to optimise sample quality, reduce variability, and enable cross-centre studies [17, 113, 148].”

    From Update on biomarkers for the detection of endometriosis (2015) · cites this paper as [113]

  • A recent systematic review of 182 relevant articles that assessed over 200 potential biomarkers identified several reports of endometrial differences which have the potential to be biomarkers for endometriosis.

    “A recent systematic review of 182 relevant articles that assessed over 200 potential biomarkers identified several reports of endometrial differences which have the potential to be biomarkers for endometriosis.”
  • The authors of that systematic review concluded that larger studies in well-defined populations are required to determine the true usefulness of endometrial biomarkers.

    “However, the authors concluded that larger studies in well-defined populations are required to determine their true usefulness.18”

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Authors
May, K. E., Villar, J., Kirtley, S., Kennedy, S. H., & Becker, C. M.
Affiliations
John Radcliffe Hospital (GB)
Venue
Human Reproduction Update
Published
2011-06-13
Volume
17
Issue
5
Pages
637-653
ISSN
  • 1355-4786 (ISSN-L)
  • 1460-2369
OpenAlex
W2125052189
Cited by
237
References
194
Citations by year
2026: 4 · 2025: 9 · 2024: 7 · 2023: 14 · 2022: 16 · 2021: 11 · 2020: 19 · 2019: 19 · 2018: 12 · 2017: 24 · 2016: 22 · 2015: 24 · 2014: 22 · 2013: 21 · 2012: 13
FWCI
2.77
Type
journal article
Language
en
Open access
closed
Locations
  • Human Reproduction Update (publishedVersion)
  • PubMed (publishedVersion)
  • Explore Bristol Research (publishedVersion)
  • Bristol Research (University of Bristol) (submittedVersion)
Funders
National Institute for Health and Care Research
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ectopic Pregnancy Diagnosis and Management
  • Health Sciences › Medicine › Obstetrics and Gynecology › Gynecological conditions and treatments
Keywords
endometriosis, eutopic endometrium, biomarkers, diagnostic accuracy, hormone receptors, cytokines, proteomics, cell cycle regulation, endometrial histology
MeSH terms
Cell Adhesion, Cell Cycle, Endometriosis, Endometrium, Extracellular Matrix, Female, Humans, Neovascularization, Pathologic, Gonadal Steroid Hormones, Biomarkers, Cytokines, Apoptosis, Reactive Oxygen Species, Reactive Nitrogen Species, Intercellular Signaling Peptides and Proteins, Proteomics

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