Metabolomics biomarkers of prostate cancer: A systematic review

Kdadra, M., Höckner, S., Leung, H. , Kremer, W. and Schiffer, E. (2019) Metabolomics biomarkers of prostate cancer: A systematic review. Diagnostics, 9(1), 21. (doi: 10.3390/diagnostics9010021) (PMID:30791464) (PMCID:PMC6468767)

[img]
Preview
Text
181491.pdf - Published Version
Available under License Creative Commons Attribution.

1MB

Abstract

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.

Item Type:Articles
Additional Information:This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant No. 721746.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Leung, Professor Hing
Authors: Kdadra, M., Höckner, S., Leung, H., Kremer, W., and Schiffer, E.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cancer Sciences
Journal Name:Diagnostics
Publisher:MDPI
ISSN:2075-4418
ISSN (Online):2075-4418
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Diagnostics 9(1):21
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record