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Published on: January 12, 2020
Association of hormone receptor-based pathological features with prognosis in high-grade serous ovarian carcinoma: a
Chengcheng Zhu1, Hengliang Sun2, Yonghong Luo1
1Department of Obstetrics and Gynecology, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, 241001, China.
Background:
High-grade serous ovarian cancer (HGSC) causes high mortality rates worldwide due to its insidious onset and poor prognosis. The statuses of hormone receptors (ER/PR) have been shown to have significant prognostic value in hormone-related tumors such as breast cancer, but their roles in HGSC remain unclear.
Methods:
This study retrospectively analyzed the relationship between estrogen receptor (ER) and progesterone receptor (PR) expression status, clinical features, and survival outcomes in 176 patients with HGSC. Kaplan-Meier analysis and univariate and multivariate Cox regression were used to identify prognostic factors. Propensity score matching (PSM) was applied to control for confounding, and a nomogram incorporating ER/PR status and other independent prognostic factors was developed. Internal validation was performed using repeated stratified 5-fold cross-validation and 1,000-bootstrap resampling.
Results:
ER/PR expression status was significantly associated with survival. The ER(+)/PR(+) group had the best prognosis, whereas the double-negative group had the worst. Combined ER/PR expression remained an independent prognostic factor in multivariate analysis (HR = 11.610, 95% CI: 6.225-21.653). The nomogram showed good predictive performance for 1-, 3-, and 5-year OS, with favorable discrimination and calibration in internal validation.
Conclusion:
Combined ER/PR expression status is an independent prognostic factor in HGSC. A nomogram integrating ER/PR status with clinicopathological variables may provide a practical tool for individualized risk assessment.
