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Precision medicine for prostate cancer-improved outcome prediction for low-intermediate risk disease using a six-gene copy number alteration classifier.
Lautert-Dutra, William; Dos Reis, Rodolfo Borges; Squire, Jeremy A.
Afiliación
  • Lautert-Dutra W; Department of Genetics, Medicine School of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
  • Dos Reis RB; Division of Urology, Department of Surgery and Anatomy, Medicine School of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
  • Squire JA; Department of Genetics, Medicine School of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil. jsquireinsp@gmail.com.
Br J Cancer ; 128(12): 2163-2164, 2023 06.
Article en En | MEDLINE | ID: mdl-37120668
ABSTRACT
A multiplex 6-gene copy number classifier was used to distinguish between low- or intermediate-risk prostate cancer patients. The study analysed a cohort of 448 patients and previously published datasets from radical prostatectomies. The classifier performs better than conventional stratification methods, is low cost, and can be performed easily in clinical laboratories.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Asunto principal: Prostatectomía / Neoplasias de la Próstata / Medicina de Precisión Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Br J Cancer Año: 2023 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Asunto principal: Prostatectomía / Neoplasias de la Próstata / Medicina de Precisión Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Br J Cancer Año: 2023 Tipo del documento: Article País de afiliación: Brasil