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Identification of a Novel MicroRNA Panel Associated with Metastasis Following Radical Prostatectomy for Prostate Cancer.
Nam, Robert K; Wallis, Christopher J D; Amemiya, Yutaka; Benatar, Tania; Seth, Arun.
Afiliação
  • Nam RK; Division of Urology, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
  • Wallis CJD; Division of Urology, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
  • Amemiya Y; Sunnybrook Research Institute Genomics Facility, Toronto, Canada.
  • Benatar T; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
  • Seth A; Platform Biological Sciences, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
Anticancer Res ; 38(9): 5027-5034, 2018 Sep.
Article em En | MEDLINE | ID: mdl-30194146
BACKGROUND/AIM: This is a case control study designed to identify one or more novel microRNA sequences associated with metastasis following radical prostatectomy for clinically localized prostate cancer. MATERIALS AND METHODS: Samples were obtained from patients with clinical evidence of metastatic disease following surgery (cases) and patients who showed no evidence of metastasis or biochemical recurrence at least 5 years following surgery (controls) as identified from a single-center, institutional database. Cases and controls were matched for tumor grade and duration of follow-up. RESULTS: Whole miRNome analysis identified 2,792 expressed miRNAs in 19 patient pairs. The 497 miRNA sequences with reads per million over 10, were used for analysis, bootstrapping with backward selection identified a panel of 5-miRNA (miR-17-3p, miR-27a-3p, miR-200a-3p, miR-375, and miR-376b-3p) with a risk score strongly associated with metastasis (AUC=89.5%, 95%CI=79.5-99.5%). Methodologically, most studies use the magnitude of differential expression with or without clinical judgement for selection of predictors for inclusion in panels. In order to strengthen the predictive model, a selection strategy was employed, bootstrapping with automated backwards selection, which relied on the strength of association for inclusion. CONCLUSION: A genome-wide analysis of microRNA expression identified a panel of 5 miRNAs strongly associated with prostate cancer metastasis following radical prostatectomy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Perfilação da Expressão Gênica / Metástase Neoplásica Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Anticancer Res Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Perfilação da Expressão Gênica / Metástase Neoplásica Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Anticancer Res Ano de publicação: 2018 Tipo de documento: Article