Molecular characterization of human adenomyosis

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 use...

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Bibliographic Details
Published in:	Molecular human reproduction Vol. 12; no. 12; pp. 737 - 748
Main Authors:	Hever, A., Roth, R.B., Hevezi, P.A., Lee, J., Willhite, D., White, E.C., Marin, E.M., Herrera, R., Acosta, H.M., Acosta, A.J., Zlotnik, A.
Format:	Journal Article
Language:	English
Published:	Oxford Oxford University Press 01-12-2006 Oxford Publishing Limited (England)
Subjects:	adenomyosis Affymetrix Analysis of Variance Biological and medical sciences Biomarkers Biomarkers, Tumor Diagnosis, Differential Embryology: invertebrates and vertebrates. Teratology Endometriosis - diagnosis Endometriosis - genetics Endometriosis - metabolism Endometriosis - pathology Endometrium - metabolism Female Fundamental and applied biological sciences. Psychology Gene Expression Profiling Humans Ingenuity Leiomyoma - diagnosis Leiomyoma - genetics Leiomyoma - metabolism Myometrium - metabolism Neoplasm Proteins - biosynthesis Neoplasm Proteins - genetics Oligonucleotide Array Sequence Analysis Principal Component Analysis uterine fibroids Uterine Neoplasms - diagnosis Uterine Neoplasms - genetics Uterine Neoplasms - metabolism Characterization Human adenomyosis/Affymetrix/Ingenuity/uterine fibroids Uterine diseases Endometriosis Uterine leiomyoma Benign neoplasm Molecular biology Female genital diseases
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Summary:	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.
Bibliography:	3To whom correspondence should be addressed at: Neurocrine Biosciences, Discovery Biology, 12790 El Camino Real, San Diego, CA 92130, USA. E-mail: ahever@neurocrine.com ark:/67375/HXZ-STCVZL53-1 local:076 istex:D8FD9B6D7C69D00047ACF5E733F28B2D3FB99CA2 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1360-9947 1460-2407
DOI:	10.1093/molehr/gal076