Literature DB >> 25495249

Supervised clustering of immunohistochemical markers to distinguish atypical and non-atypical endometrial hyperplasia.

Enora Laas1, Marcos Ballester, Annie Cortez, Julie Gonin, Geoffroy Canlorbe, Emile Daraï, Olivier Graesslin.   

Abstract

The risk of endometrial hyperplasia (EH) progressing into endometrioid endometrial cancer ranges from 1% for simple EH without atypia (EHWA) to 46.2% for atypical EH (AEH). Differentiation between both entities is crucial to determine optimal management. As preoperative diagnosis of AEH can be difficult, we aimed to establish clusters of immunohistochemical markers to distinguish EHWA from AEH. We studied 13 immunohistochemical markers (steroid receptors, pro/anti-apoptotic proteins, metalloproteinases (MMP), tissue inhibitor of metalloproteinase (TIMP), CD44 isoforms) known for their role in endometrial pathology. Using supervised clustering, we determined clusters of co-expressed proteins which contributed the most in differentiating EHWA from AEH. From 39 tissue samples (17 EHWA and 22 AEH), we found three clusters of co-expressed proteins: Cluster 1 included two proteins (over-expression of estrogen receptor (ER) and under-expression of progesterone receptor (PR) B in AEH compared to EHWA); Cluster 2: an ER, PR A, MMP-2 and TIMP-1 over-expression and a PR B and TIMP-2 under-expression; Cluster 3: over-expression of ER and MMP-7 and under-expression of PR B and TIMP-2. AEH can be accurately distinguished from EHWA using a supervised clustering of immunohistochemical markers. This promising approach could be useful to improve the preoperative diagnosis of EH.

Entities:  

Keywords:  Atypical endometrial hyperplasia; endometrial hyperplasia without atypia; immunohistochemistry; predictive model; supervised clustering

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Substances:

Year:  2014        PMID: 25495249     DOI: 10.3109/09513590.2014.989981

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


  2 in total

1.  Supervised Clustering of Adipokines and Hormonal Receptors Predict Prognosis in a Population of Obese Women with Type 1 Endometrial Cancer.

Authors:  Jennifer Uzan; Enora Laas; Issam Abd Alsamad; Dounia Skalli; Dhouha Mansouri; Bassam Haddad; Cyril Touboul
Journal:  Int J Mol Sci       Date:  2017-05-13       Impact factor: 5.923

2.  18F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma.

Authors:  Tong Wang; Hongzan Sun; Yan Guo; Lue Zou
Journal:  Mol Imaging       Date:  2019 Jan-Dec       Impact factor: 4.488

  2 in total

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