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Expression of COX-2, p16, and Ki67 in the range from normal breast tissue to breast cancer

 Michaela Feriancová, Ingrid Walter, Christian Singer, Juraj Gazdarica, Kamil Pohlodek

Abstract:

The increasing number of diagnosed breast lesions lead to the critical need for new markers that would elucidate the process of tumorigenesis. The objective of the study was to examine COX-2, p16, and Ki67 expression in a broad spectrum of breast lesions in order to define the proteins’ phenotype throughout the tumorigenesis. Expression was studied by immunohistochemistry in 308 human breast samples divided into 7 subgroups - flat epithelial atypia (FEA), atypical hyperplasia (ADH), intraductal carcinoma (DCIS), invasive cancer (IC), benign lesions (BLs), normal tissue adjacent to breast cancer (CANT), and fatty tissue (FT). Analysis among 4 subgroups - premalignant lesions (DIN), IC, BLs, and normal tissue was also performed. High prevalence of COX-2 overexpression was found in all breast lesions including BLs (70% FEA, 89% ADH, 86% DCIS, 81% IC, 44% CANT, 92% BLs, 29% FT). Significant dominance of p16 overexpression was found in premalignant lesions and BLs (50% FEA, 67% ADH, 50% DCIS, 37% IC, 8% CANT, 58% BLs, 21% FT). The location of staining within p16+ cells differed - BLs showed nuclear positivity, whereas in IC it was exclusively cytoplasmic. Premalignant lesions showed all types of p16 positivity. Significantly higher prevalence of COX-2+p16+Ki67+ phenotype was in premalignant tumors with the highest prevalence in ADH (40% of FEA, 67% ADH, 35% DCIS, 20% IC, 3% CANT, 20% BLs, 14% FT). Our observations showed a high prevalence of COX-2+p16+Ki67+ phenotype in premalignant lesions. Further studies are needed in order to elucidate if this phenotype reflects any specific pathway of future progression of premalignant breast lesions.

Received date: 07/31/2020

Accepted date: 09/30/2020

Ahead of print publish date: 11/05/2020

Issue: 2/2021

Volume: 68

Pages: 342 — 351

Keywords: COX-2, p16, Ki67, tumorigenesis, breast cancer

Supplementary files:
Supplementary data.docx
Supplementary data.pdf

DOI: 10.4149/neo_2020_200731N798

Pubmed

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