Literature DB >> 27428737

Tumor Necrosis Adds Prognostically Significant Information to Grade in Clear Cell Renal Cell Carcinoma: A Study of 842 Consecutive Cases From a Single Institution.

Li-Yan Khor1, Hari P Dhakal, Xuefei Jia, Jordan P Reynolds, Jesse K McKenney, Brian I Rini, Cristina Magi-Galluzzi, Christopher G Przybycin.   

Abstract

Tumor necrosis has been shown to be an independent predictor of adverse outcome in renal cell carcinoma. A modification of the International Society of Urological Pathology (ISUP) grading system for renal cell carcinomas has recently been proposed, which incorporates the presence of tumor necrosis into grade. The investigators proposing this system found that necrosis added significant prognostic information to ISUP grade. We attempted to describe our experience with the effect of tumor necrosis in relationship to nuclear grade by reviewing the slides from a large consecutive series of localized clear cell renal cell carcinomas from our institution and obtaining long-term clinical follow-up information (overall survival). Of the 842 clear cell renal cell carcinomas reviewed, 265 (31.5%) were ISUP grade 1 or 2, 437 (51.9%) were ISUP grade 3, and 140 (16.6%) were ISUP grade 4. Tumor necrosis was present in 177 (21%) cases. Five hundred and forty-seven (64.9%) cases were stage pT1, 83 (9.9%) were stage pT2, 193 (22.9%) were stage pT3a, and 19 (2.3%) were pT3b or higher. Median follow-up was 73.2 months (range 0.12 to 273.6), and 310 (36.8%) patients died. On univariable analysis, there was no significant difference in outcome for tumors of ISUP grades 1 to 3. After adjustment for age, tumor stage, and tumor size, ISUP grade 4 and necrosis were significant predictors of overall survival on multivariable analysis. When the recently proposed modified grading system incorporating tumor necrosis was applied to our data, there was no significant difference in overall survival between patients with modified grade 1 tumors and those with modified grade 2 tumors (P=0.31); however, there was a statistically significant difference between patients with modified grade 1 or 2 tumors and those with modified grade 3 tumors (P=0.04),and a substantial difference in outcome between those with modified grade 3 and modified grade 4 tumors (P<0.001). When a recursive partitioning approach was applied to our data, patients of a given ISUP grade could be further prognostically separated according to the presence or absence of necrosis and could be divided into 3 statistically significant prognostic groups: (1) non-necrotic ISUP grade 1 to 3 tumors, (2) ISUP grade 1 to 3 tumors with necrosis and ISUP grade 4 tumors with <10% necrosis, and (3) ISUP grade 4 tumors with >10% necrosis. In conclusion, our study shows that tumor necrosis adds additional prognostic information to ISUP grade and that quantification of necrosis can further stratify patients with ISUP grade 4 tumors.

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Year:  2016        PMID: 27428737     DOI: 10.1097/PAS.0000000000000690

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  13 in total

1.  Prediction models for clear cell renal cell carcinoma ISUP/WHO grade: comparison between CT radiomics and conventional contrast-enhanced CT.

Authors:  Dong Han; Yong Yu; Nan Yu; Shan Dang; Hongpei Wu; Ren Jialiang; Taiping He
Journal:  Br J Radiol       Date:  2020-08-12       Impact factor: 3.039

2.  Performance of CT radiomics in predicting the overall survival of patients with stage III clear cell renal carcinoma after radical nephrectomy.

Authors:  Dong Han; Nan Yu; Yong Yu; Taiping He; Xiaoyi Duan
Journal:  Radiol Med       Date:  2022-07-14       Impact factor: 6.313

3.  Comprehensive evaluation of 68Ga-PSMA-11 PET/CT parameters for discriminating pathological characteristics in primary clear-cell renal cell carcinoma.

Authors:  Jie Gao; Qinfeng Xu; Yao Fu; Kuiqiang He; Chengwei Zhang; Qing Zhang; Jiong Shi; Xiaozhi Zhao; Feng Wang; Hongqian Guo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-07-04       Impact factor: 9.236

4.  Magnetic Resonance Imaging Radiomics Analyses for Prediction of High-Grade Histology and Necrosis in Clear Cell Renal Cell Carcinoma: Preliminary Experience.

Authors:  Durgesh K Dwivedi; Yin Xi; Payal Kapur; Ananth J Madhuranthakam; Matthew A Lewis; Durga Udayakumar; Robert Rasmussen; Qing Yuan; Aditya Bagrodia; Vitaly Margulis; Michael Fulkerson; James Brugarolas; Jeffrey A Cadeddu; Ivan Pedrosa
Journal:  Clin Genitourin Cancer       Date:  2020-05-23       Impact factor: 2.872

5.  The prognostic value and clinicopathological features of sarcomatoid differentiation in patients with renal cell carcinoma: a systematic review and meta-analysis.

Authors:  Zhenlei Zha; Hu Zhao; Yejun Feng; Lijin Zhang; Bin Wu
Journal:  Cancer Manag Res       Date:  2018-06-22       Impact factor: 3.989

Review 6.  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

7.  The current status of renal cell carcinoma and prostate carcinoma grading.

Authors:  Brett Delahunt; Lars Egevad; John Yaxley; Hemamali Samaratunga
Journal:  Int Braz J Urol       Date:  2018 Nov-Dec       Impact factor: 1.541

8.  Evaluation of the morphological features and unfavorable prognostic impact of dirty necrosis in renal cell carcinoma.

Authors:  Takashi Kuroe; Reiko Watanabe; Motohiro Kojima; Ryo Morisue; Masato Sugano; Takeshi Kuwata; Hitoshi Masuda; Shota Kusuhara; Nobuaki Matsubara; Shioto Oda; Tetsuo Ushiku; Genichiro Ishii
Journal:  J Cancer Res Clin Oncol       Date:  2021-01-21       Impact factor: 4.553

9.  Accurate Risk Assessment of Patients with Pathologic T3aN0M0 Renal Cell Carcinoma.

Authors:  Jong Jin Oh; Jung Keun Lee; Byung Do Song; Hakmin Lee; Sangchul Lee; Seok-Soo Byun; Sang Eun Lee; Sung Kyu Hong
Journal:  Sci Rep       Date:  2018-09-17       Impact factor: 4.379

10.  CT-Based Radiomics Signature for Preoperative Prediction of Coagulative Necrosis in Clear Cell Renal Cell Carcinoma.

Authors:  Kai Xu; Lin Liu; Wenhui Li; Xiaoqing Sun; Tongxu Shen; Feng Pan; Yuqing Jiang; Yan Guo; Lei Ding; Mengchao Zhang
Journal:  Korean J Radiol       Date:  2020-06       Impact factor: 3.500

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