Are We Using the Best Tumor Size Cut-points for Renal Cell Carcinoma Staging?

Urology. 2017 Nov:109:121-126. doi: 10.1016/j.urology.2017.04.010. Epub 2017 Apr 12.

Abstract

Objective: To compare the predictive ability for oncologic outcomes among current tumor size cut-points and clinically relevant alternatives to determine which are optimal.

Methods: Patients who underwent radical or partial nephrectomy between 1970 and 2010 for T1-2Nx/N0M0 renal cell carcinoma (RCC) were identified. Associations between tumor size and progression-free survival (PFS) and cancer-specific survival (CSS) were evaluated using Kaplan-Meier analyses and Cox models. Predictive ability was assessed using c-indexes.

Results: The cohort included 3304 patients with a median age of 63 years (interquartile range 53, 70). Median follow-up among survivors was 9.9 years (interquartile range 6.9, 14.3). There were 536 patients who progressed and 354 who died from RCC. For RCC tumors ≤3.0 cm, 10-year PFS and CSS rates were 93%-95% and 97%-99%, respectively. For tumors >3.0-4.0 cm, PFS and CSS began to decline (91% and 95%, respectively), with further gradual declines in PFS and CSS with increasing tumor size. Plots of hazard ratios for progression and RCC death as a function of tumor size did not reveal major inflection points. Differences in discrimination based on various combinations of tumor-size cut-points for progression or RCC death were small, with c-indexes ranging between 0.691-0.704 and 0.734-0.750, respectively.

Conclusion: RCC tumors ≤3.0 cm in size are associated with favorable outcomes. Thereafter, risks of progression and RCC death increase gradually with tumor size, with no compelling biological reason to endorse a given cut-point over another.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Carcinoma, Renal Cell / pathology*
  • Carcinoma, Renal Cell / surgery
  • Female
  • Humans
  • Kidney Neoplasms / pathology*
  • Kidney Neoplasms / surgery
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Nephrectomy*
  • Predictive Value of Tests
  • Prognosis
  • Tumor Burden*