Literature DB >> 14634384

A multifactorial postoperative surveillance model for patients with surgically treated clear cell renal cell carcinoma.

Igor Frank1, Michael L Blute, John C Cheville, Christine M Lohse, Amy L Weaver, Bradley C Leibovich, Horst Zincke.   

Abstract

PURPOSE: We designed scoring algorithms for postoperative surveillance based on multivariately significant predictors of site specific disease recurrence.
MATERIALS AND METHODS: We identified 1,864 patients who underwent partial or radical nephrectomy for nonmetastatic clear cell renal cell carcinoma between 1970 and 2000. Clinical features studied included age, sex and symptomatic disease at presentation. Surgical and pathological features studied included nephrectomy type, surgical margin status, 2003 TNM stage, nuclear grade, histological tumor necrosis, sarcomatoid component, cystic architecture and multifocality. Recurrence was classified into locations of abdomen, thoracic region, bone and brain. Recurrence-free survival rates were estimated using the Kaplan-Meier method. Cox proportional hazards models were fit to test associations with recurrence.
RESULTS: Recurrence to abdomen, the thoracic region, bone and brain developed in 185 (10%), 300 (16%), 134 (7%) and 81 (4%) patients, respectively. Positive surgical margins, 2003 TNM stage, size, grade and necrosis were significantly associated with abdominal recurrence in a multivariate setting. These same features, except surgical margins, were significantly associated with thoracic recurrence. The 2003 TNM stage, grade and necrosis were multivariately predictive of recurrence in bone. Scoring algorithms to predict the likelihood of disease recurrence to these sites and to guide the intensity of postoperative surveillance were developed using regression coefficients from the multivariate models. The proposed scoring algorithms resulted in excellent patient stratification.
CONCLUSIONS: We present scoring algorithms based on multivariately significant predictors of site specific recurrence that can be used to tailor postoperative surveillance to the individual patient.

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Mesh:

Year:  2003        PMID: 14634384     DOI: 10.1097/01.ju.0000095541.10333.a7

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  33 in total

Review 1.  Contemporary imaging modalities for the surveillance of patients with renal cell carcinoma.

Authors:  Matthew K Tollefson; Naoki Takahashi; Bradley C Leibovich
Journal:  Curr Urol Rep       Date:  2007-01       Impact factor: 3.092

2.  [Is there an indication for neoadjuvant or adjuvant systemic therapy in renal cell cancer?].

Authors:  C Doehn; A S Merseburger; D Jocham; M A Kuczyk
Journal:  Urologe A       Date:  2007-10       Impact factor: 0.639

3.  Potentially curable recurrent disease after surgically managed non-metastatic renal cell carcinoma in low-, intermediate- and high-risk patients.

Authors:  Y A M Kuijpers; R P Meijer; G N Jonges; J de Jong; J L H R Bosch; S Horenblas; A Bex
Journal:  World J Urol       Date:  2016-04-07       Impact factor: 4.226

Review 4.  Bladder metastasis from renal cell carcinoma: retrospective analysis of 65 reported cases.

Authors:  Kazuhiro Matsumoto; Nozomi Hayakawa; So Nakamura; Mototsugu Oya
Journal:  Clin Exp Metastasis       Date:  2015-01-29       Impact factor: 5.150

Review 5.  Post partial nephrectomy surveillance imaging: an evidence-based approach.

Authors:  Lorenzo Marconi; Michael A Gorin; Mohamad E Allaf
Journal:  Curr Urol Rep       Date:  2015-04       Impact factor: 3.092

Review 6.  Current Challenges in Diagnosis and Assessment of the Response of Locally Advanced and Metastatic Renal Cell Carcinoma.

Authors:  Alberto Diaz de Leon; Ali Pirasteh; Daniel N Costa; Payal Kapur; Hans Hammers; James Brugarolas; Ivan Pedrosa
Journal:  Radiographics       Date:  2019-06-14       Impact factor: 5.333

7.  Limited use of surveillance imaging following nephrectomy for renal cell carcinoma.

Authors:  Eric H Kim; Joel M Vetter; Adrienne N Kuxhausen; Joseph B Song; Gurdarshan S Sandhu; Seth A Strope
Journal:  Urol Oncol       Date:  2015-12-22       Impact factor: 3.498

Review 8.  Adjuvant therapy for renal cell carcinoma.

Authors:  Naomi B Haas; Robert Uzzo
Journal:  Curr Oncol Rep       Date:  2008-05       Impact factor: 5.075

Review 9.  Follow-up after curative treatment of localised renal cell carcinoma.

Authors:  Saeed Dabestani; Lorenzo Marconi; Teele Kuusk; Axel Bex
Journal:  World J Urol       Date:  2018-05-16       Impact factor: 4.226

10.  [Value of the postoperative Störkel score. Predict disease-free survival of patients with surgically resected renal cell carcinoma].

Authors:  M May; S Brookman-Amissah; S Pflanz; N Knoll; J Roigas; S Gunia; B Hoschke; F Kendel
Journal:  Urologe A       Date:  2009-03       Impact factor: 0.639

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