Renal cell carcinoma with nodal metastases in the absence of distant metastatic disease: prognostic indicators of disease-specific survival

Eur Urol. 2007 Jun;51(6):1616-24. doi: 10.1016/j.eururo.2006.12.015. Epub 2006 Dec 14.

Abstract

Objectives: Outcome of patients with exclusive renal cell carcinoma (RCC) nodal metastases without distant metastases is not extensively described. We explored the ability of standard risk factors such as tumour size, Fuhrman grade, histologic subtype and symptom classification to predict renal cell carcinoma-specific survival (RCC-SS).

Methods: Analyses targeted 171 patients with RCC nodal metastases and absence of distant metastases. Univariable, multivariable, and predictive accuracy analyses addressed RCC-SS with the intent of identifying independent and most informative predictors of RCC-SS in this cohort of patients.

Results: Median RCC-SS was 2.3 yr. Symptom classification (61.3%, p<0.001) demonstrated the highest univariable accuracy. In multivariable analyses, symptom classification contributed the most to the combined predictive accuracy of all variables (+4.2%, p<0.001), followed by Fuhrman grade (+2.3%) and histologic subtype (+1.0%).

Conclusions: Renal cell carcinoma-specific survival of patients with exclusive nodal metastases may show important variability. In presence of systemic symptoms, survival is extremely poor. Substantially better survival may be expected in patients with local or no symptoms. This observation has important implications when adjuvant therapies are considered.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma, Renal Cell / pathology
  • Carcinoma, Renal Cell / secondary
  • Carcinoma, Renal Cell / surgery*
  • Child
  • Female
  • Humans
  • Kidney Neoplasms / pathology*
  • Kidney Neoplasms / surgery*
  • Lymphatic Metastasis
  • Male
  • Middle Aged
  • Neoplasm Recurrence, Local
  • Nephrectomy / methods
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models
  • Risk Factors
  • Survival Analysis