Nomogram for predicting survival of renal cell carcinoma with tumor thrombus based on perioperative clinicopathological factors from a Chinese high‐volume center

Abstract

Objectives: To investigate perioperative clinicopathological predictors and establish a predictive nomogram for survival in patients with renal cell carcinoma and venous tumor thrombus undergoing nephrectomy and thrombectomy. Methods: Patients with renal cell carcinoma and venous tumor thrombus undergoing nephrectomy and thrombectomy were included in the study between January 2014 and June 2020. Cox regression analysis was used for univariate and multivariate survival analyses. A predictive nomogram for survival was established and internally validated using bootstrap resampling method. Results: A total of 228 patients were enrolled in this study. The median age was 60 years (interquartile range 53-66 years), consisting of 174 (76.3%) males and 54 (23.7%) females. The median follow-up time was 17.5 months (range 1-74 months), 26.8% (61 of 228) patients died of all causes. In multivariable analysis, hemoglobin less than the lower limit of normal (hazard ratio 1.73; 95% confidence interval 1.01-2.96; P = 0.045), sarcomatoid feature (hazard ratio 3.67; 95% confidence interval 1.97-6.82; P < 0.001), perirenal fat invasion (hazard ratio 1.80; 95% confidence interval 1.05-3.09; P = 0.033), histological subtype (hazard ratio 2.74; 95% confidence interval 1.39-5.41; P = 0.004), and metastasis at surgery (hazard ratio 1.71; 95% confidence interval 1.01-2.90; P = 0.047) were independently associated with overall survival. The result of internal validation presented that the predictive performance of the nomogram for survival measured by C-index was 0.77. Conclusions: We developed a predictive nomogram with well-internal validation for survival in patients with renal cell carcinoma and venous tumor thrombus, which can greatly promote risk stratification and treatment planning.

Construction and validation of a prognostic nomogram for locally recurrent rectal cancer: a population-based study

“…A growing body of research reported the value of nomogram that has been widely used in clinical oncology, with intuitive graphs simplifying the use of prediction models ( 21 , 22 ). But it was absent in the nomogram for LRRC.…”

Editorial Comment from Dr Ishihara et al. to Nomogram for predicting survival of renal cell carcinoma with tumor thrombus based on perioperative clinicopathological factors from a Chinese high‐volume center

“…In this study, Li et al . developed a unique nomogram to promote the risk stratification of overall survival in patients with RCC with IVC thrombus following surgery using a Chinese cohort comprising 228 patients in a retrospective study 3 . The nomogram comprised five factors: hemoglobin levels, sarcomatoid component, perirenal fat invasion, histopathology, and metastasis at surgery.…”

Editorial Comment from Dr Nagata to Nomogram for predicting survival of renal cell carcinoma with tumor thrombus based on perioperative clinicopathological factors from a Chinese high‐volume center

“…Li et al . developed a predictive nomogram for survival in patients with renal cell carcinoma (RCC) and inferior vena cava (IVC) tumor thrombus, which can greatly promote risk stratification and planning 1 . This nomogram will be a useful tool in clinical practice for postoperative follow‐up and adjuvant treatment options for RCC with IVC thrombus.…”