A review of prognostic pathologic features and algorithms for patients treated surgically for renal cell carcinoma

Christine M. Lohse, John C. Cheville

Research output: Contribution to journalReview article

64 Scopus citations

Abstract

Pathologic features that are important in outcome prediction for patients who are treated surgically for renal cell carcinoma are reviewed, including histologic subtype, sarcomatoid differentiation, the TNM classification, primary tumor size, nuclear grade, and histologic tumor necrosis. How these pathologic features have been incorporated into prognostic algorithms that were developed by Memorial Sloan-Kettering Cancer Center, University of California Los Angeles, and Mayo Clinic are examined.

Original languageEnglish (US)
Pages (from-to)433-464
Number of pages32
JournalClinics in Laboratory Medicine
Volume25
Issue number2
DOIs
StatePublished - Jun 2005

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Biochemistry, medical

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