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Metabolomics Biomarkers of Prostate Cancer: A Systematic Review

Prostate cancer (PCa) diagnosis with current biomarkers is difficult and often results in unnecessary invasive procedures as well as over-diagnosis and over-treatment, highlighting the need for novel biomarkers. The aim of this review is to provide a summary of available metabolomics PCa biomarkers,...

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Autores principales: Kdadra, Marouane, Höckner, Sebastian, Leung, Hing, Kremer, Werner, Schiffer, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468767/
https://www.ncbi.nlm.nih.gov/pubmed/30791464
http://dx.doi.org/10.3390/diagnostics9010021
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author Kdadra, Marouane
Höckner, Sebastian
Leung, Hing
Kremer, Werner
Schiffer, Eric
author_facet Kdadra, Marouane
Höckner, Sebastian
Leung, Hing
Kremer, Werner
Schiffer, Eric
author_sort Kdadra, Marouane
collection PubMed
description Prostate cancer (PCa) diagnosis with current biomarkers is difficult and often results in unnecessary invasive procedures as well as over-diagnosis and over-treatment, highlighting the need for novel biomarkers. The aim of this review is to provide a summary of available metabolomics PCa biomarkers, particularly for clinically significant disease. A systematic search was conducted on PubMed for publications from July 2008 to July 2018 in accordance with PRISMA guidelines to report biomarkers with respect to their application in PCa diagnosis, progression, aggressiveness, recurrence, and treatment response. The vast majority of studies report biomarkers with the ability to distinguish malignant from benign prostate tissue with a few studies investigating biomarkers associated with disease progression, treatment response or tumour recurrence. In general, these studies report high dimensional datasets and the number of analysed metabolites often significantly exceeded the number of available samples. Hence, observed multivariate differences between case and control samples in the datasets might potentially also be associated with pre-analytical, technical, statistical and confounding factors. Giving the technical and methodological hurdles, there are nevertheless a number of metabolites and pathways repeatedly reported across various technical approaches, cohorts and sample types that appear to play a predominant role in PCa tumour biology, progression and recurrence.
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spelling pubmed-64687672019-04-19 Metabolomics Biomarkers of Prostate Cancer: A Systematic Review Kdadra, Marouane Höckner, Sebastian Leung, Hing Kremer, Werner Schiffer, Eric Diagnostics (Basel) Review Prostate cancer (PCa) diagnosis with current biomarkers is difficult and often results in unnecessary invasive procedures as well as over-diagnosis and over-treatment, highlighting the need for novel biomarkers. The aim of this review is to provide a summary of available metabolomics PCa biomarkers, particularly for clinically significant disease. A systematic search was conducted on PubMed for publications from July 2008 to July 2018 in accordance with PRISMA guidelines to report biomarkers with respect to their application in PCa diagnosis, progression, aggressiveness, recurrence, and treatment response. The vast majority of studies report biomarkers with the ability to distinguish malignant from benign prostate tissue with a few studies investigating biomarkers associated with disease progression, treatment response or tumour recurrence. In general, these studies report high dimensional datasets and the number of analysed metabolites often significantly exceeded the number of available samples. Hence, observed multivariate differences between case and control samples in the datasets might potentially also be associated with pre-analytical, technical, statistical and confounding factors. Giving the technical and methodological hurdles, there are nevertheless a number of metabolites and pathways repeatedly reported across various technical approaches, cohorts and sample types that appear to play a predominant role in PCa tumour biology, progression and recurrence. MDPI 2019-02-19 /pmc/articles/PMC6468767/ /pubmed/30791464 http://dx.doi.org/10.3390/diagnostics9010021 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Kdadra, Marouane
Höckner, Sebastian
Leung, Hing
Kremer, Werner
Schiffer, Eric
Metabolomics Biomarkers of Prostate Cancer: A Systematic Review
title Metabolomics Biomarkers of Prostate Cancer: A Systematic Review
title_full Metabolomics Biomarkers of Prostate Cancer: A Systematic Review
title_fullStr Metabolomics Biomarkers of Prostate Cancer: A Systematic Review
title_full_unstemmed Metabolomics Biomarkers of Prostate Cancer: A Systematic Review
title_short Metabolomics Biomarkers of Prostate Cancer: A Systematic Review
title_sort metabolomics biomarkers of prostate cancer: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468767/
https://www.ncbi.nlm.nih.gov/pubmed/30791464
http://dx.doi.org/10.3390/diagnostics9010021
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