Prognostic nomogram for patients with lung metastatic renal cell carcinoma: A seer-based study

Abstract

Background: Our study aimed to establish a clinically practical and reliable prognostic nomogram based on the important prognostic factors to predict the prognosis of patients with lung metastatic renal cell carcinoma (RCC). Methods: Clinical data of patients with lung metastatic RCC between 2010 and 2015 were collected from the SEER database. Prognostic nomogram was established using R software to predict the OS and CSS probability for individual patients. Consistency index (C-index), calibration curve and decision curve analysis (DCA) were used to assess the predictive performance of the nomogram, and to calibrated the nomogram for 1-, 2-, and 3-year cancer-specific survival (CSS) and overall survival (OS). Results: 1,563 patients were enrolled in this study. All patients were randomly divided into the primary cohort (937) and the validation cohort (626). Multivariate Cox regression showed that age, histology, N-stage, T-stage, surgery and radiotherapy were independent risk factor of OS, and histology, N-stage, T-stage, surgery were CSS related factors in patients with lung metastatic RCC in the primary cohort. The C-index of the nomogram OS was 0.662 and the C-index of CSS was 0.658 in the primary cohort. In the validation cohort, the C-index of the nomogram CSS and OS were 0.685 and 0.694, respectively. Moreover, the calibration curves showed good consistency between nomogram predictions and actual 1-, 2-, and 3-year OS and CSS rates in the primary and external verification cohorts. Conclusions: The prognostic nomogram constructed in this study can provide an individualized treatment and risk assessment for survival in patients with lung metastatic RCC.