Introduction/Background Ovarian cancer is the fifth most frequent cause of cancer in women, with its highest death rate in the gynecological area. The main problem is the absence of a screening test to detect the neoplasm in initial stages, when the survival could reach 90% after5 years. It affects women between 50 and 60 years, although it can be diagnosed at younger ages. There are several risk factors that can be highlighted in the involvement of this disease, such as age, hyperestrogenism situations and even some genetic mutations. The most frequent histological type is epithelial, and within it, serous, being approximately 65% of ovarian cancer diagnoses. With this study we want to determine what is the overall survival and disease-free survival in patients with local ovarian cancer - advanced treated in Cádiz and what prognostic factors can influence on it.

Methodology This is an observational, descriptive, and retrospective study of a series of cases of women who were diagnosed with ovarian cancer at the Puerta del Mar University Hospital in the period between 2015 and 2018

We will use the Epidat 3.1 program to calculate the sample size, following these steps:

Methods —> Sampling —> Sample size calculation —> Survival

Data collection will be carried out using the patients medical records collected in the database of the Gynecological Oncology Service of the Puerta del Mar University Hospital. To estimate qualitative and quantitative variables we use frequencies, percentages… through Excel program, to estimatehe survival function and to study the risk factors, we used the non-parameter Kaplan-Meier estimator.

Results Attached image.

Conclusion Global survival 5 years: 84%. (American Cancer Society: 80%)

Predictive date global survival decreases if there is recurrence (90% vs 58%)

Most important date for the free disease survival are initial stage, body mass index and tumoral type.

Disclosures Our dates are very similar to other publicated dates. Special attention as risk factor the body mass index, not clearly described in other studies.

We recognized the limitations of our study: non- random sample, small sample, short follow-up period and different among patients, incomplete stories and censored data.