Predictive Nomogram for Recurrence following Surgery for Nonmetastatic Renal Cell Cancer with Tumor Thrombus

列线图 医学 肾细胞癌 血栓 队列 泌尿科 内科学 肾透明细胞癌 比例危险模型 肾切除术 肿瘤科 外科 放射科
作者
E. Jason Abel,Timothy A. Masterson,José A. Karam,Viraj A. Master,Vitaly Margulis,Ryan Hutchinson,Adam Lorentz,Evan Bloom,Tyler M. Bauman,Christopher G. Wood,Michael L. Blute
出处
期刊:The Journal of Urology [Lippincott Williams & Wilkins]
卷期号:198 (4): 810-816 被引量:32
标识
DOI:10.1016/j.juro.2017.04.066
摘要

No AccessJournal of UrologyAdult Urology1 Oct 2017Predictive Nomogram for Recurrence following Surgery for Nonmetastatic Renal Cell Cancer with Tumor Thrombus E. Jason Abel, Timothy A. Masterson, Jose A. Karam, Viraj A. Master, Vitaly Margulis, Ryan Hutchinson, C. Adam Lorentz, Evan Bloom, Tyler M. Bauman, Christopher G. Wood, and Michael L. Blute E. Jason AbelE. Jason Abel Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin Financial interest and/or other relationship with Argos Therapeutics. More articles by this author , Timothy A. MastersonTimothy A. Masterson Department of Urology, Indiana University School of Medicine, Indianapolis, Indiana More articles by this author , Jose A. KaramJose A. Karam Department of Urology, University of Texas M. D. Anderson Cancer Center, Houston, Texas More articles by this author , Viraj A. MasterViraj A. Master Department of Urology, Emory University School of Medicine, Atlanta, Georgia More articles by this author , Vitaly MargulisVitaly Margulis Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas More articles by this author , Ryan HutchinsonRyan Hutchinson Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas More articles by this author , C. Adam LorentzC. Adam Lorentz Department of Urology, Emory University School of Medicine, Atlanta, Georgia More articles by this author , Evan BloomEvan Bloom Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin More articles by this author , Tyler M. BaumanTyler M. Bauman Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin More articles by this author , Christopher G. WoodChristopher G. Wood Department of Urology, University of Texas M. D. Anderson Cancer Center, Houston, Texas Financial interest and/or other relationship with Pfizer, Argos, Novartis and Agenus. More articles by this author , and Michael L. BluteMichael L. Blute Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.04.066AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: Following surgery for nonmetastatic renal cell carcinoma with tumor thrombus the risk of recurrence is significant but variable among patients. The purpose of this study was to develop and validate a predictive nomogram for individual estimation of recurrence risk following surgery for renal cell carcinoma with venous tumor thrombus. Materials and Methods: Comprehensive data were collected on patients with nonmetastatic renal cell carcinoma and thrombus treated at a total of 5 institutions from 2000 to 2013. Independent predictors of recurrent renal cell carcinoma from a competing risks analysis were developed into a nomogram. Predictive accuracy was compared between the development and validation cohorts, and between the nomogram and the UISS (UCLA Integrated Staging System, SSIGN (Stage, Size, Grade and Necrosis) and Sorbellini models. Results: A total of 636 patients were analyzed, including the development cohort of 465 and the validation cohort of 171. Independent predictors, including tumor diameter, body mass index, preoperative hemoglobin less than the lower limit of normal, thrombus level, perinephric fat invasion and nonclear cell histology, were developed into a nomogram. Estimated 5-year recurrence-free survival was 49% overall. Five-year recurrence-free survival in patients with 0, 1, 2 and more than 2 risk factors was 77%, 53%, 47% and 20%, respectively. Predictive accuracy was similar in the development and validation cohorts (AUC 0.726 and 0.724, respectively). Predictive accuracy of the thrombus nomogram was higher than that of the UISS (AUC 0.726 vs 0.595, p = 0.001), SSIGN (AUC 0.713 vs 0.612, p = 0.04) and Sorbellini models (AUC 0.709 vs 0.638, p = 0.02). Conclusions: We present a predictive nomogram for postoperative recurrence in patients with nonmetastatic renal cell carcinoma with venous thrombus. Improving individual postoperative risk assessment may allow for better design and analysis of future adjuvant clinical trials. References 1 : A critical analysis of surgery for kidney cancer with vena cava invasion. Eur Urol2007; 52: 658. Google Scholar 2 : Risk factors for recurrence after surgery in non-metastatic RCC with thrombus: a contemporary multicentre analysis. BJU Int2016; 117: E87. Google Scholar 3 : Adjuvant sunitinib in high-risk renal-cell carcinoma after nephrectomy. N Engl J Med2016; 375: 2246. Google Scholar 4 : Do we need new high-risk criteria for surgically treated renal cancer patients to improve the outcome of future clinical trials in the adjuvant setting? Results of a comprehensive analysis based on the multicenter CORONA database. Eur J Surg Oncol2016; 42: 744. Google Scholar 5 : Postoperative surveillance protocol for patients with localized and locally advanced renal cell carcinoma based on a validated prognostic nomogram and risk group stratification system. J Urol2005; 174: 466. Link, Google Scholar 6 : Prediction of progression after radical nephrectomy for patients with clear cell renal cell carcinoma: a stratification tool for prospective clinical trials. Cancer2003; 97: 1663. Google Scholar 7 : A postoperative prognostic nomogram predicting recurrence for patients with conventional clear cell renal cell carcinoma. J Urol2005; 173: 48. Link, Google Scholar 8 : Surgical treatment of renal cancer with vena cava extension. Br J Urol1987; 59: 390. Crossref, Medline, Google Scholar 9 : SAS macros for estimation of the cumulative incidence functions based on a Cox regression model for competing risks survival data. Comput Methods Programs Biomed2004; 74: 69. Google Scholar 10 : Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making2006; 26: 565. Google Scholar 11 : Survival among patients with advanced renal cell carcinoma in the pretargeted versus targeted therapy eras. Cancer Med2016; 5: 169. Google Scholar 12 : Understanding pathologic variants of renal cell carcinoma: distilling therapeutic opportunities from biologic complexity. Eur Urol2015; 67: 85. Google Scholar 13 : The International Society of Urological Pathology (ISUP) Vancouver classification of renal neoplasia. Am J Surg Pathol2013; 37: 1469. Google Scholar 14 : The International Society of Urological Pathology (ISUP) grading system for renal cell carcinoma and other prognostic parameters. Am J Surg Pathol2013; 37: 1490. Google Scholar 15 : Systematic review of surgical management of nonmetastatic renal cell carcinoma with vena caval thrombus. Eur Urol2015; 70: 265. Google Scholar 16 : Trends in metastatic kidney cancer survival from the cytokine to the targeted therapy era. Urology2015; 86: 262. Google Scholar 17 : The Mayo Clinic experience with surgical management, complications and outcome for patients with renal cell carcinoma and venous tumour thrombus. BJU Int2004; 94: 33. Google Scholar 18 : Prognostic factors in T3b renal cell carcinoma. World J Urol2009; 27: 75. Google Scholar 19 : Complications of radical and partial nephrectomy in a large contemporary cohort. J Urol2004; 171: 130. Link, Google Scholar © 2017 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited bySmith J (2017) This Month in Adult UrologyJournal of Urology, VOL. 198, NO. 4, (715-716), Online publication date: 1-Oct-2017. Volume 198Issue 4October 2017Page: 810-816Supplementary Materials Advertisement Copyright & Permissions© 2017 by American Urological Association Education and Research, Inc.Keywordsnomogramsrenal cellrisklocalkidney neoplasmscarcinomaneoplasm recurrenceMetricsAuthor Information E. Jason Abel Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin Financial interest and/or other relationship with Argos Therapeutics. More articles by this author Timothy A. Masterson Department of Urology, Indiana University School of Medicine, Indianapolis, Indiana More articles by this author Jose A. Karam Department of Urology, University of Texas M. D. Anderson Cancer Center, Houston, Texas More articles by this author Viraj A. Master Department of Urology, Emory University School of Medicine, Atlanta, Georgia More articles by this author Vitaly Margulis Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas More articles by this author Ryan Hutchinson Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas More articles by this author C. Adam Lorentz Department of Urology, Emory University School of Medicine, Atlanta, Georgia More articles by this author Evan Bloom Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin More articles by this author Tyler M. Bauman Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin More articles by this author Christopher G. Wood Department of Urology, University of Texas M. D. Anderson Cancer Center, Houston, Texas Financial interest and/or other relationship with Pfizer, Argos, Novartis and Agenus. More articles by this author Michael L. Blute Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin More articles by this author Expand All Advertisement PDF downloadLoading ...
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