| Literature DB >> 32829070 |
Irena Zagorac1, Branka Lončar2, Branko Dmitrović3, Kristina Kralik4, Andrej Kovačević5.
Abstract
Folate receptor alpha (FRα) is a membrane-bound protein with a high affinity for folate, which is necessary for the biosynthesis of amino acids and nucleotide bases. It has been shown to be a potential prognostic and therapeutic target, primarily in lung and ovarian cancer, as well as in breast cancer. The aim of this study was to examine FRα expression in a cohort of patients with triple negative breast cancer (TNBC), in correlation with clinicopathological parameters and prognostic factors. By using polyclonal FRα antibody on archival paraffin blocks immunohistochemistry was performed. To evaluate the expression of FRα, H-score was used, which marks both the proportion of stained cells and the intensity of staining. Statistical analysis correlating FRα expression with clinicopathologic parameters and clinical outcome were performed. FRα was expressed in most of the patients (85%). Significant correlation of expression and histologic grade (Mann Whitney U test, P = 0,03) and type of tumor (P = 0,02), was found. It was noticed that with higher Ki-67 proliferation index values, H-score has lower values (r = -0,284, P = 0,006). Multivariant regression analysis (Cox regression, Stepwise method) showed H-score as a significant predictor for the risk of disease recurrence (OR = 1,005, P = 0,04). No correlation between FRα expression and overall survival (OS) and disease-free survival (DFS) was found. In conclusion, FRα is highly expressed in TNBC, and, given the correlation with clinicopathological parameters, subpopulation of patients could be identified that could be potential targets for new therapeutic perspectives in the treatment of this breast cancer subtype.Entities:
Keywords: Clinicopathological features; Folate receptor alpha; H-score; Survival; Triple negative breast cancer
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Year: 2020 PMID: 32829070 DOI: 10.1016/j.anndiagpath.2020.151596
Source DB: PubMed Journal: Ann Diagn Pathol ISSN: 1092-9134 Impact factor: 2.090