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Seminal plasma enables selection and monitoring of active surveillance candidates using nuclear magnetic resonance-based metabolomics: A preliminary investigation

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. MATERI...

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Detalles Bibliográficos
Autores principales: Roberts, Matthew J., Richards, Renee S., Chow, Clement W.K., Buck, Marion, Yaxley, John, Lavin, Martin F., Schirra, Horst Joachim, Gardiner, Robert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian Pacific Prostate Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693471/
https://www.ncbi.nlm.nih.gov/pubmed/29188202
http://dx.doi.org/10.1016/j.prnil.2017.03.005
Descripción
Sumario: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 (1)H-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.