Molecular characterization of human adenomyosis

A Hever, Anikó Hevér, Richard B. Roth, R B Roth, Peter Hevezi, P A Hevezi, J Lee, Dorian Willhite, D Willhite, E C White, Estevan Marín, E M Marin, Rosa María Blanca Herrera, R Herrera, H M Acosta, Héctor Acosta, Alicia Jurado Acosta, A J Acosta, Albert Zlotnik, A Zlotnik
Molecular human reproduction · 2006 · vol. 12(12) , pp. 737–748 · doi:10.1093/molehr/gal076 · PMID:17020905 · W2114688295
article OA: bronze CC0 ⤵ 31 in-corpus citations
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⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

This study characterized gene expression patterns in adenomyosis, uterine fibroids, normal endometrium, and myometrium, identifying differentially expressed genes and functional networks, and potential biomarkers for distinguishing adenomyosis from fibroids.

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Abstract

Adenomyosis is a common gynaecological disorder characterized by the abnormal growth of endometrium into the myometrium and myometrial hypertrophy/hyperplasia. Uterine fibroids are benign neoplasms of the myometrium, and they represent a diagnostic pitfall for adenomyosis. In this study, we have used the genome-wide Affymetrix U133 Plus 2.0 microarray platform to compare the gene expression patterns of adenomyosis, uterine fibroids, normal endometrium and myometrium. Unsupervised principal component analysis (PCA) revealed that these four tissue types could be segregated from one another solely based on their gene expression profiles. Analysis of variance (ANOVA), followed by Tukey means separation test, significance analysis of microarrays (SAM) and 2-fold change threshold, identified 7415 probe sets as differentially expressed among the four groups of samples. Supervised cluster analysis based on these probe sets clustered adenomyosis most closely with endometrium and uterine fibroids with myometrium, consistent with the anatomic origin of these two diseases. The Tukey means separation post hoc testing found 2073 probe sets altered between adenomyosis and normal endometrium or myometrium, and 2327 probe sets altered in expression when comparing uterine fibroids with myometrium. Using Ingenuity Pathways Analysis (IPA), we found 9 highly significant functional networks in adenomyosis and 10 in uterine fibroids. Notably, the top network in both cases was associated with functions implicated in cancer and cell death. Finally, we compared the gene expression profiles of adenomyosis and uterine fibroids and identified 471 differentially expressed probe sets that may represent potential biomarkers for the differential diagnosis of these diseases.

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Condition tags

endometriosisadenomyosis

MeSH descriptors

Endometriosis Gene Expression Profiling Analysis of Variance Biomarkers Biomarkers, Tumor Diagnosis, Differential Endometriosis Endometriosis Endometriosis Endometriosis Endometrium Endometrium Female Humans Leiomyoma Leiomyoma Leiomyoma Leiomyoma Myometrium Myometrium

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 (42)

Cited by (31)

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