Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

Eman Abdelzaher

Eman Abdelzaher

Alexandria University,Egypt

Title: FGF18 as a Potential Biomarker in Serous and Mucinous Ovarian Tumors

Biography

Biography: Eman Abdelzaher

Abstract

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.