131P Integrating CA-125 response and residual disease for predicting ovarian cancer survival: A real-world risk model
Ovarian cancer remains a leading cause of cancer-related mortality in women, with survival outcomes primarily influenced by treatment response and disease burden. This study aims to develop a real-world risk stratification model by integrating CA-125 response (defined as a 50% decrease) and residual disease status to predict survival outcomes in ovarian cancer patients.
Authors
- Yuehua Chen (ORCID: https://orcid.org/0009-0006-1343-7449)
Institutions
- Kaohsiung Medical University Chung-Ho Memorial Hospital (TW)
Publication Details
- Journal
- ESMO Open
- Published
- 2026-07-01
- DOI
- https://doi.org/10.1016/j.esmoop.2026.108178
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00