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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.
Afiliação
  • 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 em En | MEDLINE | ID: mdl-37120668
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prostatectomia / Neoplasias da Próstata / Medicina de Precisão Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prostatectomia / Neoplasias da Próstata / Medicina de Precisão Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article