Literature DB >> 28753780

Validation of a Postoperative Nomogram Predicting Recurrence in Patients with Conventional Clear Cell Renal Cell Carcinoma.

Byron H Lee1, Andrew Feifer1, Michael A Feuerstein1, Nicole E Benfante1, Lei Kou2, Changhong Yu2, Michael W Kattan2, Paul Russo3.   

Abstract

BACKGROUND: Clear cell renal cell carcinoma (RCC) continues to be the most commonly diagnosed subtype and is associated with more aggressive behavior than papillary and chromophobe RCC. Predicting disease recurrence after surgical extirpation is important for counseling and targeting those at high risk for adjuvant therapy clinical trials.
OBJECTIVE: To validate a postoperative nomogram predicting 5-yr recurrence-free probability (RFP) for clinically localized clear cell RCC. DESIGN, SETTING, AND PARTICIPANTS: We identified all patients who underwent nephrectomy for clinically localized clear cell RCC from 1990 to 2009 at Memorial Sloan Kettering Cancer Center. After excluding patients with bilateral renal masses, familial RCC syndromes, and T3c or T4 tumors due to the limited number, 1642 participants were available for analysis.
INTERVENTIONS: Partial or radical nephrectomy. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Disease recurrence was defined as any new tumor after nephrectomy or kidney cancer-specific mortality, whichever occurred first. A postoperative nomogram was used to calculate the predicted 5-yr RFP, and these values were compared with the actual 5-yr RFP. Nomogram performance was evaluated by concordance index and calibration plot. RESULTS AND LIMITATIONS: Median follow-up was 39 mo (interquartile range: 14-79 mo), and disease recurrence was observed in 50 patients. The nomogram concordance index was 0.81. The calibration curve showed that the nomogram underestimated the actual 5-yr RFP. We updated the nomogram by including the entire patient population, which maintained performance and significantly improved calibration.
CONCLUSIONS: The updated clear cell RCC postoperative nomogram performed well in the combined cohort. Underestimation of actual 5-yr RFP by the original nomogram may be due to increased surgeon experience and other unknown variables. PATIENT
SUMMARY: We updated a valuable prediction tool used for assessing the disease recurrence probability after nephrectomy for clear cell renal cell carcinoma.
Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clear cell; Nomogram; Recurrence; Renal cell carcinoma

Mesh:

Year:  2016        PMID: 28753780      PMCID: PMC6592279          DOI: 10.1016/j.euf.2016.07.006

Source DB:  PubMed          Journal:  Eur Urol Focus        ISSN: 2405-4569


  29 in total

1.  Judging new markers by their ability to improve predictive accuracy.

Authors:  Michael W Kattan
Journal:  J Natl Cancer Inst       Date:  2003-05-07       Impact factor: 13.506

2.  Dynamic outcome prediction in patients with clear cell renal cell carcinoma treated with radical nephrectomy: the D-SSIGN score.

Authors:  R Houston Thompson; Bradley C Leibovich; Christine M Lohse; John C Cheville; Horst Zincke; Michael L Blute; Igor Frank
Journal:  J Urol       Date:  2007-02       Impact factor: 7.450

3.  Histological subtyping and nuclear grading of renal cell carcinoma and their implications for survival: a retrospective nation-wide study of 629 patients.

Authors:  Tomas Gudbjartsson; Sverrir Hardarson; Vigdis Petursdottir; Asgeir Thoroddsen; Jonas Magnusson; Gudmundur V Einarsson
Journal:  Eur Urol       Date:  2005-10       Impact factor: 20.096

4.  A postoperative prognostic nomogram for renal cell carcinoma.

Authors:  M W Kattan; V Reuter; R J Motzer; J Katz; P Russo
Journal:  J Urol       Date:  2001-07       Impact factor: 7.450

5.  A postoperative prognostic nomogram predicting recurrence for patients with conventional clear cell renal cell carcinoma.

Authors:  Maximiliano Sorbellini; Michael W Kattan; Mark E Snyder; Victor Reuter; Robert Motzer; Manlio Goetzl; James McKiernan; Paul Russo
Journal:  J Urol       Date:  2005-01       Impact factor: 7.450

6.  Mathematical model to predict individual survival for patients with renal cell carcinoma.

Authors:  Amnon Zisman; Allan J Pantuck; Fredrick Dorey; Debby H Chao; Barbara J Gitlitz; Nancy Moldawer; Dana Lazarovici; Jean B deKernion; Robert A Figlin; Arie S Belldegrun
Journal:  J Clin Oncol       Date:  2002-03-01       Impact factor: 44.544

7.  Comparisons of outcome and prognostic features among histologic subtypes of renal cell carcinoma.

Authors:  John C Cheville; Christine M Lohse; Horst Zincke; Amy L Weaver; Michael L Blute
Journal:  Am J Surg Pathol       Date:  2003-05       Impact factor: 6.394

Review 8.  Surveillance after radical or partial nephrectomy for localized renal cell carcinoma and management of recurrent disease.

Authors:  Nicolette K Janzen; Hyung L Kim; Robert A Figlin; Arie S Belldegrun
Journal:  Urol Clin North Am       Date:  2003-11       Impact factor: 2.241

9.  An outcome prediction model for patients with clear cell renal cell carcinoma treated with radical nephrectomy based on tumor stage, size, grade and necrosis: the SSIGN score.

Authors:  Igor Frank; Michael L Blute; John C Cheville; Christine M Lohse; Amy L Weaver; Horst Zincke
Journal:  J Urol       Date:  2002-12       Impact factor: 7.450

10.  Multi-institutional validation of a new renal cancer-specific survival nomogram.

Authors:  Pierre I Karakiewicz; Alberto Briganti; Felix K-H Chun; Quoc-Dien Trinh; Paul Perrotte; Vincenzo Ficarra; Luca Cindolo; Alexandre De la Taille; Jacques Tostain; Peter F A Mulders; Laurent Salomon; Richard Zigeuner; Tommaso Prayer-Galetti; Denis Chautard; Antoine Valeri; Eric Lechevallier; Jean-Luc Descotes; Herve Lang; Arnaud Mejean; Jean-Jacques Patard
Journal:  J Clin Oncol       Date:  2007-04-10       Impact factor: 44.544

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  5 in total

1.  [Clinicopathologic features and prognostic analyses of locally recurrent renal cell carcinoma patients after initial surgery].

Authors:  Q Tang; R C Lin; L Yao; Z Zhang; H Hao; C J Zhang; L Cai; X S Li; Z S He; L Q Zhou
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-08-18

Review 2.  Online tools for patient counseling in bladder and kidney cancer-ready for prime time?

Authors:  Philipp Gild; Michael Rink; Christian P Meyer
Journal:  Transl Androl Urol       Date:  2017-12

3.  Pro-Angiogenic and Pro-Inflammatory Regulation by lncRNA MCM3AP-AS1-Mediated Upregulation of DPP4 in Clear Cell Renal Cell Carcinoma.

Authors:  Ling Qiu; Yan Ma; Yanming Yang; Xiaojun Ren; Dongzhou Wang; Xiaojing Jia
Journal:  Front Oncol       Date:  2020-06-23       Impact factor: 6.244

4.  Basic Parameters of Blood Count, Serum Sodium, and Creatinine as Prognostic Factors for Renal Cell Carcinoma at Five-Year Follow-Up.

Authors:  Marcin Życzkowski; Grzegorz Prokopowicz; Piotr Taborowski; Krzysztof Nowakowski; Paweł Rajwa; Paweł Stelmach; Andrzej Paradysz
Journal:  Med Sci Monit       Date:  2018-06-09

5.  Long Non-coding RNA LINC01094 Promotes the Development of Clear Cell Renal Cell Carcinoma by Upregulating SLC2A3 via MicroRNA-184.

Authors:  Haifei Xu; Xiaolin Wang; Jiacheng Wu; Hao Ji; Zhigang Chen; Haifeng Guo; Jianquan Hou
Journal:  Front Genet       Date:  2020-09-23       Impact factor: 4.599

  5 in total

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