Jin Liu1, Mengqiao Wang1. 1. Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Sichuan, China.
Abstract
OBJECTIVE: To explore potential prognostic factors and develop nomograms to predict the cancer-specific survival of patients with vulvar squamous cell carcinoma (SCC) and patients with vulvar melanoma. METHODS: Cases of vulvar SCC and melanoma were retrieved from the Surveillance, Epidemiology, and End Results (SEER) Program, and randomly segregated into training and test sets. Based on the training set, univariate and multivariate Cox proportional hazard regressions evaluate the association between key demographic/clinical characteristics and vulvar cancer survival. Potential prognostic factors were included to construct nomograms for the prediction of 3-year and 5-year survival probabilities. RESULTS: Age, tumor size, stage, surgery, and chemotherapy were potential factors associated with vulvar cancer survival. The C-indices for the training and test sets were 0.82 and 0.81 for SCC, and 0.73 and 0.70 for melanoma. Calibration curves revealed correlated agreements between nomogram-based probability and actual survival status. CONCLUSION: Nomograms were developed to predict cancer-specific survival of patients with vulvar cancer, accordingly identifying the subgroup at high risk of cancer-specific mortality.
OBJECTIVE: To explore potential prognostic factors and develop nomograms to predict the cancer-specific survival of patients with vulvar squamous cell carcinoma (SCC) and patients with vulvar melanoma. METHODS: Cases of vulvar SCC and melanoma were retrieved from the Surveillance, Epidemiology, and End Results (SEER) Program, and randomly segregated into training and test sets. Based on the training set, univariate and multivariate Cox proportional hazard regressions evaluate the association between key demographic/clinical characteristics and vulvar cancer survival. Potential prognostic factors were included to construct nomograms for the prediction of 3-year and 5-year survival probabilities. RESULTS: Age, tumor size, stage, surgery, and chemotherapy were potential factors associated with vulvar cancer survival. The C-indices for the training and test sets were 0.82 and 0.81 for SCC, and 0.73 and 0.70 for melanoma. Calibration curves revealed correlated agreements between nomogram-based probability and actual survival status. CONCLUSION: Nomograms were developed to predict cancer-specific survival of patients with vulvar cancer, accordingly identifying the subgroup at high risk of cancer-specific mortality.