Tumor grade improves the prognostic ability of American joint committee on cancer stage in patients with penile carcinoma

Rodolphe Thuret; Maxine Sun; Firas Abdollah; Lars Budaus; Giovanni Lughezzani; Daniel Liberman; Monica Morgan; Rupinder Johal; Claudio Jeldres; Mathieu Latour; Shahrokh F. Shariat; Franois Iborra; Jacques Guiter; Jean Jacques Patard; Paul Perrotte; Pierre I. Karakiewicz

doi:10.1016/j.juro.2010.09.111

Tumor grade improves the prognostic ability of American joint committee on cancer stage in patients with penile carcinoma

Rodolphe Thuret, Maxine Sun, Firas Abdollah, Lars Budaus, Giovanni Lughezzani, Daniel Liberman, Monica Morgan, Rupinder Johal, Claudio Jeldres, Mathieu Latour, Shahrokh F. Shariat, Franois Iborra, Jacques Guiter, Jean Jacques Patard, Paul Perrotte, Pierre I. Karakiewicz

Istituto Clinico Humanitas

Research output: Contribution to journal › Article › peer-review

Abstract

Purpose Penile cancer is rare. Thus, predicting cancer specific mortality may be difficult. We devised an accurate and yet easily applicable predictive rule that compares favorably with 2 previous models (73.8% and 74.7% accuracy, respectively). Materials and Methods We identified patients treated with primary tumor excision for all stages of penile squamous cell carcinoma between 1998 and 2006. Disease stage definitions using Surveillance, Epidemiology and End Results stage, American Joint Committee on Cancer stage and TNM classification, and tumor grade were used to predict cancer specific mortality. Predictive accuracy estimates were compared using the DeLong method for related AUCs. Results Surveillance, Epidemiology and End Results stage alone (1 predictor variable) was least accurate (74.5%). American Joint Committee on Cancer stage with tumor grade (2 predictor variables) was the most simple and most accurate (80.9%, p

Original language	English
Pages (from-to)	501-507
Number of pages	7
Journal	Journal of Urology
Volume	185
Issue number	2
DOIs	https://doi.org/10.1016/j.juro.2010.09.111
Publication status	Published - Feb 2011

Keywords

carcinoma, squamous cell
mortality
neoplasm staging
nomograms
penis

ASJC Scopus subject areas

Urology

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10.1016/j.juro.2010.09.111

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Thuret, R., Sun, M., Abdollah, F., Budaus, L., Lughezzani, G., Liberman, D., Morgan, M., Johal, R., Jeldres, C., Latour, M., Shariat, S. F., Iborra, F., Guiter, J., Patard, J. J., Perrotte, P., & Karakiewicz, P. I. (2011). Tumor grade improves the prognostic ability of American joint committee on cancer stage in patients with penile carcinoma. Journal of Urology, 185(2), 501-507. https://doi.org/10.1016/j.juro.2010.09.111

Thuret, R, Sun, M, Abdollah, F, Budaus, L, Lughezzani, G, Liberman, D, Morgan, M, Johal, R, Jeldres, C, Latour, M, Shariat, SF, Iborra, F, Guiter, J, Patard, JJ, Perrotte, P & Karakiewicz, PI 2011, 'Tumor grade improves the prognostic ability of American joint committee on cancer stage in patients with penile carcinoma', Journal of Urology, vol. 185, no. 2, pp. 501-507. https://doi.org/10.1016/j.juro.2010.09.111

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title = "Tumor grade improves the prognostic ability of American joint committee on cancer stage in patients with penile carcinoma",

abstract = "Purpose Penile cancer is rare. Thus, predicting cancer specific mortality may be difficult. We devised an accurate and yet easily applicable predictive rule that compares favorably with 2 previous models (73.8% and 74.7% accuracy, respectively). Materials and Methods We identified patients treated with primary tumor excision for all stages of penile squamous cell carcinoma between 1998 and 2006. Disease stage definitions using Surveillance, Epidemiology and End Results stage, American Joint Committee on Cancer stage and TNM classification, and tumor grade were used to predict cancer specific mortality. Predictive accuracy estimates were compared using the DeLong method for related AUCs. Results Surveillance, Epidemiology and End Results stage alone (1 predictor variable) was least accurate (74.5%). American Joint Committee on Cancer stage with tumor grade (2 predictor variables) was the most simple and most accurate (80.9%, p ",

keywords = "carcinoma, squamous cell, mortality, neoplasm staging, nomograms, penis",

author = "Rodolphe Thuret and Maxine Sun and Firas Abdollah and Lars Budaus and Giovanni Lughezzani and Daniel Liberman and Monica Morgan and Rupinder Johal and Claudio Jeldres and Mathieu Latour and Shariat, {Shahrokh F.} and Franois Iborra and Jacques Guiter and Patard, {Jean Jacques} and Paul Perrotte and Karakiewicz, {Pierre I.}",

year = "2011",

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doi = "10.1016/j.juro.2010.09.111",

language = "English",

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AU - Thuret, Rodolphe

AU - Sun, Maxine

AU - Abdollah, Firas

AU - Budaus, Lars

AU - Lughezzani, Giovanni

AU - Liberman, Daniel

AU - Morgan, Monica

AU - Johal, Rupinder

AU - Jeldres, Claudio

AU - Latour, Mathieu

AU - Shariat, Shahrokh F.

AU - Iborra, Franois

AU - Guiter, Jacques

AU - Patard, Jean Jacques

AU - Perrotte, Paul

AU - Karakiewicz, Pierre I.

PY - 2011/2

Y1 - 2011/2

N2 - Purpose Penile cancer is rare. Thus, predicting cancer specific mortality may be difficult. We devised an accurate and yet easily applicable predictive rule that compares favorably with 2 previous models (73.8% and 74.7% accuracy, respectively). Materials and Methods We identified patients treated with primary tumor excision for all stages of penile squamous cell carcinoma between 1998 and 2006. Disease stage definitions using Surveillance, Epidemiology and End Results stage, American Joint Committee on Cancer stage and TNM classification, and tumor grade were used to predict cancer specific mortality. Predictive accuracy estimates were compared using the DeLong method for related AUCs. Results Surveillance, Epidemiology and End Results stage alone (1 predictor variable) was least accurate (74.5%). American Joint Committee on Cancer stage with tumor grade (2 predictor variables) was the most simple and most accurate (80.9%, p

AB - Purpose Penile cancer is rare. Thus, predicting cancer specific mortality may be difficult. We devised an accurate and yet easily applicable predictive rule that compares favorably with 2 previous models (73.8% and 74.7% accuracy, respectively). Materials and Methods We identified patients treated with primary tumor excision for all stages of penile squamous cell carcinoma between 1998 and 2006. Disease stage definitions using Surveillance, Epidemiology and End Results stage, American Joint Committee on Cancer stage and TNM classification, and tumor grade were used to predict cancer specific mortality. Predictive accuracy estimates were compared using the DeLong method for related AUCs. Results Surveillance, Epidemiology and End Results stage alone (1 predictor variable) was least accurate (74.5%). American Joint Committee on Cancer stage with tumor grade (2 predictor variables) was the most simple and most accurate (80.9%, p

KW - carcinoma, squamous cell

KW - mortality

KW - neoplasm staging

KW - nomograms

KW - penis

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Tumor grade improves the prognostic ability of American joint committee on cancer stage in patients with penile carcinoma

Abstract

Keywords

ASJC Scopus subject areas

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