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Seminal plasma enables selection and monitoring of active surveillance candidates using nuclear magnetic resonance-based metabolomics: A preliminary investigation.
Roberts, Matthew J; Richards, Renee S; Chow, Clement W K; Buck, Marion; Yaxley, John; Lavin, Martin F; Schirra, Horst Joachim; Gardiner, Robert A.
Afiliação
  • Roberts MJ; School of Medicine, The University of Queensland, Brisbane, Australia.
  • Richards RS; Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
  • Chow CWK; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
  • Buck M; Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia.
  • Yaxley J; Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
  • Lavin MF; Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
  • Schirra HJ; Department of Environmental Health Sciences, University Medical Centre Freiburg, Freiburg, Germany.
  • Gardiner RA; Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia.
Prostate Int ; 5(4): 149-157, 2017 Dec.
Article em En | MEDLINE | ID: mdl-29188202
ABSTRACT

BACKGROUND:

Diagnosis and monitoring of localized prostate cancer requires discovery and validation of noninvasive biomarkers. Nuclear magnetic resonance (NMR)-based metabolomics of seminal plasma reportedly improves diagnostic accuracy, but requires validation in a high-risk clinical cohort. MATERIALS AND

METHODS:

Seminal plasma samples of 151 men being investigated for prostate cancer were analyzed with 1H-NMR spectroscopy. After adjustment for buffer (add-to-subtract) and endogenous enzyme influence on metabolites, metabolite profiling was performed with multivariate statistical analysis (principal components analysis, partial least squares) and targeted quantitation.

RESULTS:

Seminal plasma metabolites best predicted low- and intermediate-risk prostate cancer with differences observed between these groups and benign samples. Lipids/lipoproteins dominated spectra of high grade samples with less metabolite contributions. Overall prostate cancer prediction using previously described metabolites was not validated.

CONCLUSION:

Metabolomics of seminal plasma in vitro may assist urologists with diagnosis and monitoring of either low or intermediate grade prostate cancer. Less clinical benefit may be observed for high-risk patients. Further investigation in active surveillance cohorts, and/or in combination with in vivo magnetic resonance spectroscopic imaging may further optimize localized prostate cancer outcomes.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article