Discussion
tumor
TUMOR, METASTASIS
In this study, we developed a nomogram for predicting CSS in UCCC patients based on eight predictors of patient’s age, tumor size, SEER stage, surgery, number of lymph nodes detected, lymph node metastasis, radiotherapy and chemotherapy. The predictors included in the model can be easily obtained from clinical practice. Validation of the model using different statistical methods demonstrates its excellent performance. Furthermore, DCA demonstrated that our nomogram predicted survival with better clinical benefit and utility than the conventional staging system.UCCC is rare and considered to be prone to myometrial invasion, lymphovascular invasion, lymph node metastasis and extrauterine metastasis, so most of them were diagnosed at a later stage. Due to its rarity, there are few studies on UCCC, and these studies are usually single-center, small-sample studiesPrevious studies indicated that age, tumor size and pathologic stage might be important factors affecting the prognosis of UCCCThis is the first study to established a prognostic model for UCCC. Based on the SEER database system, this study integrated the relevant clinicopathological factors and treatment patterns affecting the prognosis of UCCC patients into a nomogram, thereby successfully constructing a predictive model consistent with the condition of UCCC patients. Compared with the SEER staging system (surrogate for traditional FIGO staging), it has the advantages of being comprehensive, intuitive, more accurate and convenient. The multi-center large sample also provides a guarantee for the credibility of the final model.This study has several limitations. First, SEER database lacks detailed information about chemotherapy and radiotherapy, and there is no data about surgical margins, extent of pelvic lymph node dissection, and lymph node invasion, which may affect the prognosis of UCCC. Second, the nomogram model is only verified internally. It is necessary to use cohort and prospective randomized clinical trials from other countries for external verification to confirm its performance. Third, there may be selection bias due to the nature of retrospective analysis.In conclusion, we developed a nomogram for predicting CSS in UCCC patients based on the SEER database, which can help clinicians make individualized prognosis predictions and provide accurate treatment recommendations.