Real-World Data on Treatment Management and Outcomes of Patients with Newly Diagnosed Advanced Epithelial Ovarian Cancer in Greece (The EpOCa Study).
Michalis LiontosEleni TimotheadouEmmanuel I PapadopoulosZafeiris ZafeiriouDimitra Ioanna LampropoulouGerasimos AravantinosDimitrios MavroudisChristos ChristodoulouAdamantia NikolaidiAlvertos SomarakisChristos PapadimitriouChristos PapandreouAristotelis BamiasPublished in: Current oncology (Toronto, Ont.) (2021)
New treatment modalities have been recently introduced in the management of ovarian cancer (OC). Herein, we sought to investigate their implementation in routine clinical practice and examine the real-world management of OC in Greece. EpOCa was a non-interventional, multicenter, retrospective study in patients with advanced epithelial OC. The primary outcome was to estimate the proportions of the different treatment regimens used per line of therapy, while progression-free survival (PFS) and overall survival (OS) were the key secondary endpoints. A total of 154 patients were enrolled in the study, among whom, 40% were tested for BRCA mutations and 30% were found to be positive. Nearly 90% of patients underwent debulking surgery at diagnosis, with few operations being also recorded upon relapse. Platinum-based chemotherapy (CT) was predominantly used in the first line with half of patients also receiving angiogenesis inhibitor (AI), while non-platinum-based CT was preferred in later lines. The median PFS was 18.2 and 8.8 months in the first- and second-line setting, respectively, whereas the median OS was approximately 50 months. Our study adds to the available, but limited, real world data on the management of ovarian cancer providing evidence regarding the applied treatment strategies and outcomes of patients in Greece.
Keyphrases
- newly diagnosed
- end stage renal disease
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- clinical practice
- free survival
- computed tomography
- healthcare
- stem cells
- type diabetes
- squamous cell carcinoma
- machine learning
- metabolic syndrome
- minimally invasive
- endothelial cells
- big data
- bone marrow
- clinical trial
- weight loss
- contrast enhanced
- electronic health record
- coronary artery disease
- artificial intelligence
- positron emission tomography