This document discusses prognostic factors in epithelial ovarian cancer. It analyzes data from 55 patients treated with primary surgery and chemotherapy between 2005-2009. The key findings are: 1. Significant prognostic factors in univariate analysis included age, histology, FIGO stage, and ascites. 2. Patients aged 70 or older and with FIGO stage IV cancer had poorer prognoses, with a 31-month survival time. Patients with endometrioid or clear cell histology had longer survival, at 51 months. 3. Subgroups like endometrioid/clear cell histology, FIGO stage II, and those with ascites were also significant prognostic factors in univariate analysis.

1. Scientific Supervisors : Prof. Dr.B.I.Polyakov Dr.M.Y. Fedyanin Presented by: Dr.Ye Hlaing Bwar Significance of Prognostic Factors in Epithelial Ovarian Cancer M.V.LOMONOSOV MOSCOW STATE UNIVERSITY Faculty of Basic Medicine

2. Ovarian cancer is the fifth leading cause of death from cancer in women. Leading cause of death from gynecological cancer in United State .

4. Prognostic factor - any measurement available at the time of surgery or diagnosis that correlates with disease-free or overall survival and, as a result, is able to correlate with the natural history of the disease. (>90%) Epithelial Ovarian Cancer

5. Prognostic Factors in Epithelial Ovarian Cancer Prognostic Factors - Age - Histology - Grade - Stage(FIGO) - ECOG performance status - CA 125 - Ascites - Residual disease - Ploidy - Type of chemotherapy - Interval debulking

7. Aim of Study To indentify the statistical significance prognostic factors in epithelial ovarian cancer treated with surgery and primary systemic chemotherapy.

10. Patients and Methods Statistical Analysis - MedCalc software (version 9.6) - x 2 test to compare distribution of baseline characteristics - Fisher’s exact test where appropriate - Kaplan-Meier method for survivals, log-rank test for comparison & Cox proportional hazard regression models for multivariate analysis Follow-up - every 3 months for 1 st two years, every 6 months for next 3 yrs & annually thereafter

11. Distribution of Patients Baseline Characteristics (n=55)

12. 5 year Overall Survival Rate (n=55)

13. Univariate Analysis of Prognostic Factors

14. Significance in Sub-group of prognostic factor

16. Thank You!