Prognostic Value of HER-2/neu Gene Amplification in Epithelial Ovarian Carcinoma

HER-2/neu基因扩增在卵巢上皮癌中的预后价值

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Abstract

BACKGROUND: Human epidermal growth factor receptor 2 (HER2) has tyrosine kinase activity and is a member of the epidermal growth factor receptor family. This initiates a variety of signal for pathways which leads to cell proliferation and tumourigenesis. In approximately 15-30% of breast cancers and 10-30% of gastric/gastroesophageal cancers, amplification or overexpression of HER2 occurs, and it serves as a prognostic and predictive biomarker. HER-2/neu is one of the most frequently studied molecular biological parameters in epithelial ovarian cancer (EOC), but its prognostic impact has not been fully assessed. The objective of the current study was firstly to analyse the presence of HER-2 overexpression in EOC patients and secondly to evaluate association between human epidermal growth factor receptor 2 (HER-2/neu) expression and progression-free survival in patients with EOC. METHOD: In this prospective study of 2 years in our department, 186 gynaecological cancers were operated out of which 98 cases were operated for epithelial ovarian cancer and rest for cervical cancer, endometrial cancer, and other subtypes of ovarian cancer. In this study, HER2 gene status was evaluated in EOC by immunohistochemistry analysis, and overall survival of these patients was evaluated. RESULTS: HER-2 overexpression was found in 22 of the 98 investigated cases (22.45%), in which 14 OC (14.29%) were weakly positive and 8 OC (8.16%) were moderately to intensely positive. In the study, increased HER2 expression was associated with decreased progression-free survival (PFS) and hence poor prognosis (P 0.054). CONCLUSIONS: The introduction of HER2-directed therapies has dramatically influenced the outcome of patients with HER2 positive breast and gastric/gastroesophageal cancers. The present study findings provided that HER-2/neu expression in patients with OC has an adverse impact on the PFS. Therefore, our results show that the decision algorithm usually used in breast cancer by HER2 may be appropriate in ovarian cancer.

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