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Tumor grade improves the prognostic ability of American Joint Committee on Cancer stage in patients with penile carcinoma

Authors :
Mathieu Latour
Daniel Liberman
Maxine Sun
Giovanni Lughezzani
Rodolphe Thuret
Monica Morgan
Paul Perrotte
Firas Abdollah
François Iborra
Pierre I. Karakiewicz
Lars Budäus
Shahrokh F. Shariat
Jean-Jacques Patard
Claudio Jeldres
J Guiter
Rupinder Johal
Service Urologie [Lapeyronie]
Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Lapeyronie
Cancer Prognostics and Health Outcomes Unit
Université de Montréal (UdeM)
Department of urology
Università Vita-Salute San Raffaele
Martini-Clinic
Prostate Cancer Center Hamburg-Eppendorf
Department of Urology
Service d'urologie [Rennes]
Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-CHU Pontchaillou [Rennes]
Service d'urologie [Rennes] = Urology [Rennes]
Hôpital Pontchaillou-CHU Pontchaillou [Rennes]
De Villemeur, Hervé
Source :
Journal of Urology, Journal of Urology, Elsevier, 2011, 185 (2), pp.501-7. ⟨10.1016/j.juro.2010.09.111⟩
Publication Year :
2010

Abstract

International audience; 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

Subjects

Subjects :
Oncology
Male
030232 urology & nephrology
MESH: Lymph Nodes
Kaplan-Meier Estimate
MESH: Risk Assessment
[SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology
MESH: Proportional Hazards Models
0302 clinical medicine
Penile Carcinoma
Surveillance, Epidemiology, and End Results
MESH: Incidence
Stage (cooking)
Societies, Medical
MESH: Middle Aged
Incidence
Biopsy, Needle
MESH: Guidelines as Topic
MESH: Carcinoma, Squamous Cell
MESH: Neoplasm Staging
Middle Aged
Prognosis
Primary tumor
Immunohistochemistry
MESH: Predictive Value of Tests
3. Good health
MESH: Young Adult
030220 oncology & carcinogenesis
Predictive value of tests
MESH: Survival Analysis
Carcinoma, Squamous Cell
MESH: SEER Program
MESH: Neoplasm Recurrence, Local
MESH: Rare Diseases
Adult
medicine.medical_specialty
MESH: Biopsy, Needle
Urology
MESH: Societies, Medical
MESH: Nomograms
[SDV.CAN]Life Sciences [q-bio]/Cancer
Guidelines as Topic
Risk Assessment
MESH: Multivariate Analysis
MESH: Prognosis
Disease-Free Survival
03 medical and health sciences
Young Adult
MESH: Penile Neoplasms
Age Distribution
Rare Diseases
[SDV.CAN] Life Sciences [q-bio]/Cancer
Predictive Value of Tests
Internal medicine
MESH: Analysis of Variance
medicine
Carcinoma
Penile cancer
Humans
MESH: Age Distribution
Penile Neoplasms
MESH: Kaplan-Meier Estimate
Neoplasm Staging
Proportional Hazards Models
Analysis of Variance
MESH: Humans
business.industry
Cancer
MESH: Adult
MESH: Immunohistochemistry
medicine.disease
[SDV.MHEP.UN] Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology
Survival Analysis
MESH: Male
Surgery
Nomograms
MESH: Disease-Free Survival
Multivariate Analysis
Lymph Nodes
Neoplasm Recurrence, Local
business
SEER Program

Details

ISSN :
15273792 and 00225347
Volume :
185
Issue :
2
Database :
OpenAIRE
Journal :
The Journal of urology
Accession number :
edsair.doi.dedup.....9e6020f97bfbdb798236a65f9bf7300f