RESUMO
Purpose: To investigate prognostic factors affecting cancer-specific survival (CSS) and to analyze the survival outcomes of patients with undifferentiated and dedifferentiated endometrial carcinoma (UDEC) who underwent various postoperative adjuvant therapies. Methods: The independent risk factors affecting CSS were studied using univariate and multivariate Cox regression analysis, and CSS in the presence of various postoperative treatments was evaluated using Kaplan-Meier method based on the cohort with pathologically confirmed UDEC from the Surveillance, Epidemiology, and End Results (SEER) database. Meanwhile, the study included 18 cases with UDEC in our center and explored their molecular characteristics and prognosis. Results: Between 2000 and 2019, a total of 443 patients were included from the SEER database. The median CSS duration was 14 months, with corresponding 3- and 5-year CSS rates of 45.9% and 44.0%, respectively. Factors such as pTNM stage, surgical resection of primary lesion, and chemoradiation independently influenced CSS. Postoperative chemotherapy alone improved CSS in patients with initial tumor spread beyond the uterus (pT3 and pT4), or lymph node (LN) invasion, or distant metastases. Additionally, postoperative radiotherapy enhanced CSS in patients who had undergone postoperative chemotherapy, those with primary tumors progressing to stage pT3, and those with LN involvement but without distant metastases. Of the 18 patients diagnosed at our center, with a median follow-up of 15.5 months, one experienced relapse and two succumbed to UDEC, who exhibited aberrant p53 expression in immunohistochemical staining. Conclusion: Postoperative chemotherapy and radiotherapy are beneficial for UDEC patients with tumors extending beyond the uterus or involving lymph nodes.
RESUMO
BACKGROUND: Ovarian granulosa cell tumors (OGCTs) feature low incidence, indolent growth and late recurrence. Treatment for recurrent OGCTs is challenging. METHODS: The present study was designed to explore the prognostic factors and establish a nomogram to predict cancer-specific survival (CSS) for OGCTs patients. Enrolled in the study were 1459 eligible patients in the Surveillance, Epidemiology, and End Results (SEER) database, who were randomized to the training (n = 1021) or testing set (n = 438) at a ratio of 7:3. Univariate and multivariate Cox regression analyses were employed to screen the prognostic factors. The predictors were determined by using the Least absolute shrinkage and selection operator (LASSO) regression analysis. The model was constructed via the Cox proportional hazards risk regression analysis. The performance and clinical value of the nomograms was assessed with C-index, calibration plots, and decision curve analysis. RESULTS: Age, pTNM stage, tumor size, surgery of the primary tumor, surgery of regional lymph nodes (LNs), residual disease after surgery, and chemotherapy were considered as significant predictive factors for CSS in OGCTs patients. After screening, the prognostic factors except surgery of regional LNs and chemotherapy were employed to build the nomogram. With desirable discrimination and calibration, the nomogram was more powerful in predicting CSS than the American Joint Committee on Cancer staging system in clinical use. CONCLUSION: This novel prognostic nomogram, which comprises a stationary nomogram and a web-based calculator, offers convenience for clinicians in personalized decision-making including optimal treatment plans and prognosis assessments for OGCTs patients.