Abstract 252P
Background
Epithelial ovarian cancer patients often present at an advanced stage of disease with a poor prognosis and high mortality. Considering the high disease burden and the evolving ovarian cancer treatment landscape, it is important to assess longitudinal data from available registry. This helps in identifying patient management patterns and survival outcomes arising from current standard of care. This study aims to analyze existing secondary database from Samsung Medical Center, Seoul, South Korea to review the current standard of care in real world setting.
Methods
This is a retrospective observation study with access to retrospective database of patients diagnosed with advanced-stage epithelial ovarian cancer in 5-years, between Jan 2014–Dec 2018.
Results
In the database, the number of patients met the criteria was 513 and the median age was 56. The percentage of high-grade serous adenocarcinoma was 84.6%. General treatment characteristics including use of neoadjuvant and/or adjuvant treatment, outcomes of cytoreductive surgery as well as use of bevacizumab is summarized with descriptive statistics. The proportion of patients underwent platinum-based chemotherapy was 98.6%. Among these patients, 14.6% took additional maintenance treatment with bevacizumab or other agents. Duration of treatment other time to event measures (e.g. overall survival, chemotherapy-free interval) will be evaluated descriptively using Kaplan–Meier methodology, together with two-sided 95% confidence intervals (95% CIs) for the median survival estimates.
Conclusions
Advanced stage ovarian cancer presents poor prognosis and high morbidity even in South Korea with well-developed healthcare systems and requires novel approaches to improve patient outcomes.
Clinical trial identification
NCT04460768
Editorial acknowledgement
Resources from the same session
360P - Number of lymph nodes examined was not an independent risk factor for the survival of patients with stage IA1-2 lung adenocarcinoma undergoing sublobar resection
Presenter: Zhenbin Qiu
Session: e-Poster Display Session
361P - Radiomic model predicting radiological response after thoracic stereotactic body radiotherapy regardless of tumor histology and staging
Presenter: Ben Man Fei Cheung
Session: e-Poster Display Session
362P - Integrative and comparative genomic analysis and immune microenvironment features of lung cancer patients with tuberculosis
Presenter: Xiaoling Xu
Session: e-Poster Display Session
363P - Genetic predisposition for pre-invasive lung adenocarcinoma manifesting as ground-glass nodules with family history of lung cancer
Presenter: Rui Fu
Session: e-Poster Display Session
364P - A deep learning model for the classification of lung cancer
Presenter: Gouji Toyokawa
Session: e-Poster Display Session
365P - Utilization of on-site pathology evaluation for lung cancer diagnosis in the Philippines’ National University Hospital
Presenter: Rich Ericson King
Session: e-Poster Display Session
367P - Detection of epidermal growth factor receptor mutations (EGFR-mut) from cell-free DNA in pleural effusion (PE-DNA) of patients with non-small cell lung cancer (NSCLC)
Presenter: Kirsty Lee
Session: e-Poster Display Session
368P - Real-world characteristics, treatment, and outcomes of stage III non-small cell lung cancer in Japan: SOLUTION study
Presenter: Haruyasu Murakami
Session: e-Poster Display Session
369P - The surgical perspective in neoadjuvant immunotherapy for resectable non-small cell lung cancer
Presenter: Long Jiang
Session: e-Poster Display Session
371P - Real-world insights into treatment patterns and outcomes in stage III non-small cell lung cancer (NSCLC): KINDLE study India analysis
Presenter: Kumar Prabhash
Session: e-Poster Display Session