Comparative analysis of clinical characteristics between ovarian cancer and ovarian cyst patients

We collected preoperative CA125, HE4 data, and other clinical characteristics from 192 Chinese patients with ovarian cysts and 188 patients with ovarian cancer, including family history, reproductive history, age at menarche, and menopausal status, as well as postoperative pathological staging information for ovarian cancer patients. This study aims to integrate serum biomarkers with clinical features to construct efficient diagnostic prediction models and staging prediction algorithms for ovarian cancer. This multidimensional prediction model has the potential to improve early diagnosis rates of ovarian cancer, optimize treatment decision-making processes, reduce unnecessary surgical interventions, and provide scientific basis for individualized treatment plans, ultimately improving patient prognosis and quality of life. The findings of this research have significant clinical translational value for developing ovarian cancer screening strategies in resource-limited regions.Study period:2024Institution: Laboratory of Molecular Translational Medicine, Center for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University