Prognostic nomogram for predicting the overall survival rate of patients with uterine clear‐cell carcinoma: Based on SEER database

Abstract

AbstractObjectiveTo evaluate the risk factors for uterine clear‐cell carcinoma (UCCC) and construct nomograms predicting 1‐, 3‐, and 5‐year overall survival rates of patients with UCCC.MethodsThe demographic and clinical information of 1674 patients diagnosed with UCCC between 2004 and 2015, including age, race, marital status, tumor size, American Joint Committee on Cancer (AJCC) stage, and details of surgery and radiotherapy/chemotherapy, was collected from the Surveillance, Epidemiology, and End Results (SEER) database. After excluding patients with unknown AJCC stage, race, marital status, or lymph node information, 1469 patients remained. Risk factors were determined using univariate and multivariate analyses, and nomograms were developed to predict 1‐, 3‐, and 5‐year overall survival of UCCC. Various indicators were used to evaluate the performance of the nomogram, such as the C‐index, net classification improvement (NRI) and decision curve analysis (DCA).ResultsAge, log odds of positive lymph nodes, AJCC stage, surgery status, and chemotherapy status were independent risk factors for UCCC. The C‐indexes of the training group and AJCC stage groups were 0.771 and 0.697, respectively. The results for the area under the receiver operating characteristics curve, NRI, and calibration curves indicated that the nomogram had good predictive ability. DCA revealed that the nomogram had greater clinical applicability than AJCC stage alone. Internal validation using the validation cohort also demonstrated that this nomogram had good predictive performance.ConclusionA new nomogram comprising a combination of demographic and clinical characteristics provided better survival predictions than the AJCC staging system alone, which will facilitate prognostic assessments and clinical decision‐making.