The prognostic significance of GRB7 protein expression and localization in human breast and ovarian cancers.

Abstract

Objective: To study GRB7 protein expression in normal human tissues and breast and ovarian cancers, and determine its clinical significance. Results: GRB7 protein was expressed in multiple tissues, including myoepithelial cells of normal breast and fibroadenoma. Cytoplasmic GRB7 expression was seen predominantly in HER-2 positive and, to a lesser extent, triple negative breast cancer. Membrane localization of GRB7 was present in a subset of breast cancers with high cytoplasmic GRB7 expression. Univariate and multivariate analysis found that cytoplasmic GRB7 expression was associated with a negative progesterone receptor status, while membrane GRB7 expression was associated with a negative axillary nodal status. Membrane associated GRB7 expression was present in a subset of ovarian cancers with high cytoplasmic GRB7 expression. Membrane GRB7 expression displayed a trend towards improved recurrence free survival (RFS). Landmark analysis suggested an RFS advantage for ovarian cancers that had GRB7 membrane expression and survived beyond 27 months; GRB7 membrane expression in two or more cores (out of three) predicted an improved RFS. Membrane expression of GRB7 protein was observed in breast cancer cell lines with high GRB7 protein expression in vitro. Conclusion: GRB7 protein membrane expression may be associated with a better prognosis in breast and ovarian cancers. The favorable prognostic value of GRB7 protein membrane expression and its underlying mechanism is worthy of further investigation. Methods: Immunohistochemistry of normal human tissues, breast tissues of various pathologies, and clinically annotated ovarian cancers was performed to correlate the patterns of GRB7 expression with biomarkers or clinical outcome.

• Authors: Anke Vermehren-Schmaedick, Paulette Mhawech-Fauceglia, Byung S Park, Tanja Pejovic, Shiuh-Wen Luoh
• Journal: Oncotarget (Oncotarget) Vol. 11 Issue 24 Pg. 2273-2289 (Jun 16 2020) ISSN: 1949-2553 [Electronic] United States
• PMID: 32595827 (Publication Type: Journal Article)
• Copyright: Copyright: © 2020 Vermehren-Schmaedick et al.