Using rercentage of sarcomatoid differentiation as a prognostic factor in renal cell carcinoma

Timothy Kim, Kamran Zargar-Shoshtari, Jasreman Dhillon, Hui Yi Lin, Binglin Yue, Mayer Fishman, Einar F. Sverrisson, Philippe E. Spiess, Shilpa Gupta, Michael A. Poch, Wade J. Sexton

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Abstract Background The objective of this study was to determine if the percentage of sarcomatoid differentiation (%Sarc) in renal cell carcinoma (RCC) can be used for prognostic risk stratification, because sarcomatoid RCC (sRCC) is an aggressive variant of kidney cancer. Patients and Methods We performed a retrospective analysis of patients who underwent surgery for RCC at our institution between 1999 and 2012. Pathology slides for all sRCC cases were reexamined by a single pathologist and %Sarc was calculated. %Sarc was analyzed as a continuous variable and as a categorical variable at cut points of 5%, 10%, and 25%. Potential prognostic factors associated with overall survival (OS) were determined using the Cox regression model. OS curves were generated using Kaplan-Meier methods and survival differences compared using the log-rank test. Results One thousand three hundred seven consecutive cases of RCC were identified, of which 59 patients had sRCC (4.5%). As a continuous variable %Sarc was inversely associated with OS (P =.023). Predictors of survival on multivariable analysis included pathologic (p) T status, tumor size, clinical (c) M status and %Sarc at the 25% level. OS was most dependent on the presence of metastatic disease (4 months vs. 21.2 months; P =.001). In cM0 patients with locally advanced (≥ pT3) tumors, OS was significantly diminished in patients with > 25 %Sarc (P =.045). However, %Sarc did not influence OS in patients with cM1 disease. Conclusion Patients with sRCC have a poor overall outcome as evidenced by high rates of recurrence and death, indicating the need for more effective systemic therapies. In nonmetastatic patients, the incorporation of %Sarc in predictive nomograms might further improve risk stratification.

Original languageEnglish (US)
Article number346
Pages (from-to)225-230
Number of pages6
JournalClinical Genitourinary Cancer
Volume13
Issue number3
DOIs
StatePublished - Jun 1 2015

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Inc.

Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.

Keywords

  • Histology
  • Kidney
  • Overall survival
  • Renal pathology
  • Surgery

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