Influence of Histologic Types and Subtypes on Survival Outcomes of Intermediate-High and High-Risk Renal Cell Carcinoma Following Nephrectomy: Findings From the SEER Database

Urology. 2022 Jan:159:146-151. doi: 10.1016/j.urology.2021.08.034. Epub 2021 Sep 4.

Abstract

Objective: To understand the influence of histologic subtypes on the survival outcomes of intermediate-high and high-risk renal cell carcinoma (RCC) following nephrectomy.

Methods: This study employed data files from the SEER Program to identify patients diagnosed with intermediate-high or high risk RCC and treated with nephrectomy. Unadjusted Kaplan Meier curves, and multivariable Cox regression analyses were applied to estimate the hazards of histologic types for overall survival (OS) and cancer-specific survival (CSS).

Results: OS was higher for chromophobe (HR=0.58, 95% CI 0.47-0.70; P<.0001), similar for papillary (HR=0.90, 95% CI 0.80-1.02; P=.11) and worse for sarcomatoid (HR=3.17, 95% CI 2.70-3.72; P<.0001) subtypes relative to the clear cell subtype. OS was lower in the high-risk disease (HR=2.35, 95% CI 2.01-2.74; P <.0001) versus intermediate-high risk disease. CSS was higher for chromophobe (HR=0.47, 95% CI 0.35-0.63; P<.0001), similar for papillary (HR=0.91, 95% CI 0.77-1.08; P=.28) and worse for sarcomatoid (HR=4.19, 95% CI 3.50-5.02; P<.0001) subtypes relative to the clear cell subtype. CSS was lower for the high-risk disease (HR=2.86, 95%CI 2.39-3.43; P <.0001) relative to intermediate-high risk disease.

MeSH terms

  • Aged
  • Biopsy* / methods
  • Biopsy* / statistics & numerical data
  • Carcinoma, Renal Cell* / mortality
  • Carcinoma, Renal Cell* / pathology
  • Carcinoma, Renal Cell* / surgery
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Kidney Neoplasms* / mortality
  • Kidney Neoplasms* / pathology
  • Kidney Neoplasms* / surgery
  • Male
  • Middle Aged
  • Nephrectomy* / adverse effects
  • Nephrectomy* / methods
  • Progression-Free Survival
  • Proportional Hazards Models
  • Risk Assessment / methods
  • SEER Program / statistics & numerical data*
  • United States / epidemiology