Targeted development of specific biomarkers of endometrial stromal cell differentiation using bioinformatics: the IFITM1 model

When classifying cellular uterine mesenchymal neoplasms, histological distinction of endometrial stromal from smooth muscle neoplasms can be difficult. The only widely established marker of endometrial stromal differentiation, CD10, has marginal specificity. We took a bioinformatics approach to iden...

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Veröffentlicht in:	Modern pathology 2014-04, Vol.27 (4), p.569-579
Hauptverfasser:	Parra-Herran, Carlos E, Yuan, Liping, Nucci, Marisa R, Quade, Bradley J
Format:	Artikel
Sprache:	eng
Schlagworte:	631/114 631/136/142 692/308/1892 692/699/67/1517/1931 Antigens, Differentiation - analysis Bioinformatics Biomarkers Biomarkers, Tumor - analysis Cell Differentiation Computational Biology Databases, Protein Endometrial Neoplasms - chemistry Endometrial Neoplasms - pathology endometrial stroma endometrial stromal neoplasms Endometrial Stromal Tumors - chemistry Endometrial Stromal Tumors - pathology Endometrium Female Fibroids Humans IFITM1 Immunohistochemistry Interferon Laboratory Medicine Medicine Medicine & Public Health original-article Pathology Predictive Value of Tests Prognosis Protein expression Proteins Sarcoma Smooth muscle Stromal Cells - chemistry Stromal Cells - pathology Tumors
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