Eman Abdelzaher is an currently working as an Associate Professor Departments of Pathology Faculty of Medicine, University of Alexandria, Alexandria, Egypt. She has been recognized as expert in Neuropathology. Her research experience includes various programs, contributions and participation in different countries for diverse fields of study. Her research interests as a professor reflect in his wide range of publications in various national and international journals. Her research of interest is in the field of Neuropathology.
Fibroblast growth factor 18 (FGF18) has been suggested to play important roles in promoting progression of ovarian high-grade serous carcinoma. Our aim was to investigate FGF18 expression in the whole spectrum of serous and mucinous ovarian tumours, highlighting differences in expression within the adenoma-carcinoma sequence and differences between type-1 and type-2 tumours. We also aimed to test the prognostic significance of this expression and its relation to micro vessel density (MVD). We evaluated the immunohistochemical expression of FGF18 and CD31 in 103 ovarian tumours and statistically analysed their association with clinicopathological variables and patients’ outcome. FGF18 score increased significantly within the adenoma-carcinoma sequence for serous and mucinous tumours. MVD increased significantly only among serous tumours. FGF18 and MVD correlated significantly (overall and among serous tumours only) and were significantly higher in type-2 than type-1 tumours. Cox regression models were built. Independent predictors could not be determined due to multicollinearity between the predictors. However, the combination of International Federation of Gynaecology and Obstetrics (FIGO) stage, ovarian carcinoma type and or FGF18 score achieved the highest predictability of poor prognosis. FGF18 could play a role within the adenoma-carcinoma sequence in type-1 tumours and might modulate angiogenesis among serous tumours. Our findings further augment the differences between type-1 and type-2 tumours. The combination of FIGO stage, ovarian carcinoma type and or FGF18 score could predict poor prognosis among ovarian carcinoma patients. Our work identifies FGF18 in ovarian neoplasia as a promising field of research, although evaluation of the performance of the developed models is still needed.