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Prostate cancer risk biomarkers from large cohort and prospective metabolomics studies: A systematic review

Authors :
Yamilé López-Hernández
Cristina Andres-Lacueva
David S. Wishart
Claudia Torres-Calzada
Miriam Martínez-Huélamo
Enrique Almanza-Aguilera
Raul Zamora-Ros
Source :
Translational Oncology, Vol 51, Iss , Pp 102196- (2025)
Publication Year :
2025
Publisher :
Elsevier, 2025.

Abstract

Prostate cancer (PCa) is one of the leading causes of cancer-related deaths among men. The heterogeneous nature of this disease presents challenges in its diagnosis, prognosis, and treatment. Numerous potential predictive, diagnostic, prognostic, and risk assessment biomarkers have been proposed through various population studies. However, to date, no metabolite biomarker has been approved or validated for the diagnosis, prognosis, or risk assessment of PCa. Recognizing that systematic reviews of case reports or heterogenous studies cannot reliably establish causality, this review analyzed 29 large prospective metabolomics studies that utilized harmonized criteria for patient selection, consistent methodologies for blood sample collection and storage, data analysis, and that are available in public repositories. By focusing on these large prospective studies, we identified 42 metabolites that were consistently replicated by different authors and across cohort studies. These metabolites have the potential to serve as PCa risk-assessment or predictive biomarkers. A discussion on their associations with dietary sources or dietary patterns is also provided. Further detailed exploration of the relationship with diet, supplement intake, nutrition patterns, contaminants, lifestyle factors, and pre-existing comorbidities that may predispose individuals to PCa is warranted for future research and validation.

Details

Language :
English
ISSN :
19365233
Volume :
51
Issue :
102196-
Database :
Directory of Open Access Journals
Journal :
Translational Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.2a7411c871664c0fb2973f80bd172c2f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.tranon.2024.102196