Construction of a prognostic nomogram model for patients with rhabdomyosarcoma / 中国肿瘤临床

ABSTRACT

Objective: To construct a nomogram for predicting the 1-year, 3-year, and 5-year survival of patients with rhabdomyosarco-ma. Methods: We retrieved data of patients diagnosed with rhabdomyosarcoma from The National Cancer Institute's Surveillance, Epi-demiology, and End Results (SEER) database between 1975 and 2016. After screening, 861 eligible patients were selected. The univari-ate Kaplan-Meier method and multivariate Cox model were used to determine independent prognostic factors, which were then uti-lized to construct a nomogram to predict 1-year, 3-year, and 5-year survival of patients with rhabdomyosarcoma. The resulting nomo-gram was internally verified using the consistency index (C-index) to measure its predictive accuracy. Results: Patient age, tumor histol-ogy, tumor grade, stage of the disease, surgery, radiotherapy, and chemotherapy were independent prognostic factors for patients with rhabdomyosarcoma (P<0.05). Based on these factors, the nomogram was successfully constructed. The C-index value for internal validation of the nomogram was 0.776, and the calibration curves of the model were consistent. Conclusions: The proposed nomo-gram is a reliable tool for accurate prognostic prediction in patients with rhabdomyosarcoma. It could be helpful for clinicians to indi-vidualize diagnosis, assess prognosis, and guide treatment plans for rhabdomyosarcoma patients.