Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Scand J Urol Nephrol ; 41(4): 283-9, 2007.
Artigo em Inglês | MEDLINE | ID: mdl-17763218

RESUMO

OBJECTIVE: New predictive factors for bladder tumor progression have been analyzed in many publications, often with contradictory results. Very few papers have referred specifically to T1G3 tumors. Our objective was to find new, clinically useful markers which either alone or in association with classical prognostic factors would allow the early selection of the correct therapeutic approach. MATERIAL AND METHODS: This was a retrospective study of 83 patients with T1G3 bladder tumors who were initially treated with transurethral resection + bacillus Calmette-Guérin therapy, with a minimum follow-up period of 3 years. We analyzed eight variables. New factors considered were: the level of submucosal invasion; microvessel density; and immunostaining for Ki-67 and p53. Independent prognostic variables for progression were established using logistic regression analysis, and risk groups were created from mathematical models. RESULTS: Five variables were determined as unfavorable: tumor multiplicity; tumor size >3 cm; carcinoma in situ; T1b substage; and p53 positivity. The first three factors predicted progression in only 32% of cases, while the addition of the new prognostic factors (T1b substage and p53 positivity) increased this rate to 65%. We established four risk groups, with rates of progression of 67% and 100% in the high-risk and very high-risk groups, respectively. For inclusion in these groups, both new predictive factors had to be unfavorable; if either one were absent then the three classical factors had to be present. CONCLUSIONS: Microstaging and p53 positivity have a prognostic value for predicting progression in T1G3 tumors, providing 33% more information than that obtained with classical prognostic factors alone. The application of mathematical models identifies risk groups and allows the use of an early and more aggressive treatment.


Assuntos
Antígeno Ki-67/análise , Estadiamento de Neoplasias/métodos , Proteína Supressora de Tumor p53/análise , Neoplasias da Bexiga Urinária/mortalidade , Idoso , Biomarcadores Tumorais/análise , Carcinoma in Situ/mortalidade , Progressão da Doença , Feminino , Humanos , Imuno-Histoquímica , Masculino , Modelos Teóricos , Prognóstico , Análise de Regressão , Estudos Retrospectivos , Neoplasias da Bexiga Urinária/patologia , Neoplasias da Bexiga Urinária/terapia
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...