Literature DB >> 26688135

Simplification of the Fuhrman grading system for renal cell carcinoma.

Zachary L Smith1, Eugene J Pietzak, Chelsey K Meise, Keith Van Arsdalen, Alan J Wein, S Bruce Malkowicz, Thomas J Guzzo.   

Abstract

INTRODUCTION: The Fuhrman grading system (FGS) is the most widely utilized pathological classification and predictor of renal cell carcinoma (RCC) prognosis. The aim of this study was to test the prognostic ability of a simplified two-tier FGS.
MATERIALS AND METHODS: We reviewed the data of 509 patients with clear cell RCC who underwent radical or partial nephrectomy between January 1994 and April 2007. The conventional four-tier (I, II, III, IV) FGS was compared to a simplified two-tier FGS in which grades I and II were combined (low grade) and grades III and IV were combined (high grade). Cancer-specific survival (CSS) was calculated for each patient. Univariate and multivariate analyses were used in combination with area under the curve (AUC) of receiver operating characteristic curves to compare prognostic accuracies between grading schemes.
RESULTS: Median follow up was 81.6 months. Using the conventional FGS, the 5 year CSS for Fuhrman grades I, II, III, and IV were 74.1%, 76.0%, 57.3%, and 40.7%, respectively (p < 0.001). Using the simplified two-tier FGS, the 5 year CSS for low grade and high grade were 75.5% and 54.7%, respectively (p < 0.001). Both FGSs achieved independent predictor status in multivariate analyses. Prognostic accuracy of multivariate models between the two FGSs had nearly identical AUCs, with a c-statistic of 0.769 and 0.716 for the two-tier and conventional systems, respectively.
CONCLUSIONS: Our findings indicate that the simplified FGS performs similarly to the conventional system. The use of this simplified system may promote greater continuity of pathological interpretation as well as provide a more simplified approach for clinician utilization.

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Year:  2015        PMID: 26688135

Source DB:  PubMed          Journal:  Can J Urol        ISSN: 1195-9479            Impact factor:   1.344


  5 in total

1.  MicroRNA-15a expression measured in urine samples as a potential biomarker of renal cell carcinoma.

Authors:  Yulian Mytsyk; Victor Dosenko; Yuriy Borys; Askold Kucher; Katarina Gazdikova; Dietrich Busselberg; Martin Caprnda; Peter Kruzliak; Ammad Ahmad Farooqi; Manyuk Lubov
Journal:  Int Urol Nephrol       Date:  2018-03-16       Impact factor: 2.370

2.  Prognostic role of myoferlin expression in patients with clear cell renal cell carcinoma.

Authors:  Dae Hyun Song; Gyung Hyuck Ko; Jeong Hee Lee; Jong Sil Lee; Jung Wook Yang; Min Hye Kim; Hyo Jung An; Myoung Hee Kang; Kyung Nyeo Jeon; Dong Chul Kim
Journal:  Oncotarget       Date:  2017-10-06

Review 3.  Tumor necrosis as a prognostic variable for the clinical outcome in patients with renal cell carcinoma: a systematic review and meta-analysis.

Authors:  Lijin Zhang; Zhenlei Zha; Wei Qu; Hu Zhao; Jun Yuan; Yejun Feng; Bin Wu
Journal:  BMC Cancer       Date:  2018-09-03       Impact factor: 4.430

4.  Development and internal validation of nomograms for the prediction of postoperative survival of patients with grade 4 renal cell carcinoma (RCC).

Authors:  Jun Zhu; Zhifu Liu; Zhongyuan Zhang; Yu Fan; Yuke Chen; Zhisong He; Liqun Zhou; Jie Jin; Cheng Shen; Wei Yu
Journal:  Transl Androl Urol       Date:  2020-12

5.  Accuracy of CT texture analysis for differentiating low-grade and high-grade renal cell carcinoma: systematic review and meta-analysis.

Authors:  Wei Yu; Gao Liang; Lichuan Zeng; Yang Yang; Yinghua Wu
Journal:  BMJ Open       Date:  2021-12-22       Impact factor: 2.692

  5 in total

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