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T1 Bladder Cancer: Comparison of the Prognostic Impact of Two Substaging Systems on Disease Recurrence and Progression and Suggestion of a Novel Nomogram.
Asimakopoulos, Anastasios D; Colalillo, Gaia; Telesca, Rossana; Mauriello, Alessandro; Miano, Roberto; Di Stasi, Savino Mauro; Germani, Stefano; Finazzi Agrò, Enrico; Petrozza, Vincenzo; Caruso, Gianluca; Carbone, Antonio; Pastore, Antonio Luigi; Fuschi, Andrea.
Afiliação
  • Asimakopoulos AD; Division of Urology, Fondazione PTV Policlinico Tor Vergata, Rome, Italy.
  • Colalillo G; Division of Urology, Department of Surgical Sciences, University of Rome Tor Vergata, Rome, Italy.
  • Telesca R; Pathology, Department of Experimental Medicine and Surgery, University of Rome Tor Vergata, Rome, Italy.
  • Mauriello A; Pathology, Department of Experimental Medicine and Surgery, University of Rome Tor Vergata, Rome, Italy.
  • Miano R; Division of Urology, Department of Surgical Sciences, University of Rome Tor Vergata, Rome, Italy.
  • Di Stasi SM; Division of Urology, Department of Surgical Sciences, University of Rome Tor Vergata, Rome, Italy.
  • Germani S; Division of Urology, Fondazione PTV Policlinico Tor Vergata, Rome, Italy.
  • Finazzi Agrò E; Division of Urology, Department of Surgical Sciences, University of Rome Tor Vergata, Rome, Italy.
  • Petrozza V; Pathology, Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy.
  • Caruso G; Pathology, Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy.
  • Carbone A; Urology Unit ICOT, Department of Medico-Surgical Sciences and Biotechnologies, Faculty of Pharmacy and Medicine, Sapienza University of Rome, Latina, Italy.
  • Pastore AL; Urology Unit ICOT, Department of Medico-Surgical Sciences and Biotechnologies, Faculty of Pharmacy and Medicine, Sapienza University of Rome, Latina, Italy.
  • Fuschi A; Urology Unit ICOT, Department of Medico-Surgical Sciences and Biotechnologies, Faculty of Pharmacy and Medicine, Sapienza University of Rome, Latina, Italy.
Front Surg ; 8: 704902, 2021.
Article em En | MEDLINE | ID: mdl-34497827
ABSTRACT

Background:

The T1 substaging of bladder cancer (BCa) potentially impacts disease progression. The objective of the study was to compare the prognostic accuracy of two substaging systems on the recurrence and progression of primary pathologic T1 (pT1) BCa and to test a nomogram based on pT1 substaging for predicting recurrence-free survival (RFS) and progression-free survival (PFS).

Methods:

The medical records of 204 patients affected by pT1 BCa were retrospectively reviewed. Substaging was defined according to the depth of lamina propria invasion in T1a-c and the extension of the lamina propria invasion to T1-microinvasive (T1m) or T1-extensive (T1e). Uni- and multivariable Cox regression models evaluated the independent variables correlated with recurrence and progression. The predictive accuracies of the two substaging systems were compared by Harrell's C index. Multivariate Cox regression models for the RFS and PFS were also depicted by a nomogram.

Results:

The 5-year RFS was 47.5% with a significant difference between T1c and T1a (p = 0.02) and between T1e and T1m (p < 0.001). The 5-year PFS was 75.9% with a significant difference between T1c and T1a (p = 0.011) and between T1e and T1m (p < 0.001). Model T1m-e showed a higher predictive power than T1a-c for predicting RFS and PFS. In the univariate and multivariate model subcategory T1e, the diameter, location, and number of tumors were confirmed as factors influencing recurrence and progression after adjusting for the other variables. The nomogram incorporating the T1m-e model showed a satisfactory agreement between model predictions at 5 years and actual observations.

Conclusions:

Substaging is significantly associated with RFS and PFS for patients affected by T1 BCa and should be included in innovative prognostic nomograms.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article