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Relevance of emerging metabolomics-based biomarkers of prostate cancer: a systematic review

Published online by Cambridge University Press:  22 June 2022

Navneeta Bansal ,
Manoj Kumar ,
S. N. Sankhwar  and
Ashish Gupta Open the ORCID record for Ashish Gupta [Opens in a new window]
Navneeta Bansal
Affiliation:
Department of Urology, King George's Medical University, Lucknow, India
Manoj Kumar*
Affiliation:
Department of Urology, King George's Medical University, Lucknow, India
S. N. Sankhwar
Affiliation:
Department of Urology, King George's Medical University, Lucknow, India
Ashish Gupta*
Affiliation:
Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
*
Authors for correspondence: Manoj Kumar, E-mail: dr_manojait@yahoo.com; Ashish Gupta, E-mail: ashishg24@yahoo.co.in
Authors for correspondence: Manoj Kumar, E-mail: dr_manojait@yahoo.com; Ashish Gupta, E-mail: ashishg24@yahoo.co.in
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Abstract

Prostate cancer (PC) presents great challenges in early diagnosis and often leads to unnecessary invasive procedures as well as over diagnosis and treatment, thus highlighting the need for promising early diagnostic biomarkers. The aim of this review is to provide an up-to-date summary of chronologically existing metabolomics PC biomarkers, their potential to improve clinical PC diagnosis and to reduce the proliferation and monitoring of PC. The systematic research was conducted on PubMed in accordance with PRISMA guidelines to report PC biomarkers. The majority of the studies distinguished malignant from benign prostate and few explored the biomarkers associated with the progression of PC. The present review summarises the primary outcomes of most significant studies to extend our knowledge of PC metabolomics biomarkers. We observed divergent inter-laboratory technical procedures employing different statistical approaches produced abundant information regarding PC metabolites perturbation. Since PC metabolomics is still in its early phase, it is vital that we dig out the most specific, sensitive and accurate metabolic signatures and conduct more studies with milestone findings with comparable sample sizes to validate and corroborate the findings.

Keywords

Biomarkersmass spectrometrymetabolitesnuclear magnetic resonanceprostate cancerserum metabolomicsspectroscopy
Type
Review
Information
Expert Reviews in Molecular Medicine , Volume 24 , 2022 , e25
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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