Urine and plasma metabolomic panels for non-invasive monitoring of prostate cancer progression and dietary response

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Authors: Amarachi Ekeowa, Maryam Abidemi Kolapo, Adetunbosun Adekoya, Taofeek Oyekunle Amodu, David Uwana-Abasi Gideon, Obinna Francis Onuh, Patjerry Uwadiogbu Nwaolai
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Abstract

Prostate cancer (PCa) is one of the most prevalent forms of cancer in men worldwide, and despite how much advances have been made in the area of genetics and imaging, non-invasive, dynamic, reasonably priced biomarkers for disease monitoring and treatment customization, are still urgently required. Urine and plasma metabolomics have become effective tools for identifying biochemical changes linked to the development of prostate cancer, the effectiveness of treatment, and dietary modification throughout the last five years. Recent developments (2020–2025) in the creation and use of urine and plasma metabolomic panels for non-invasive prostate cancer surveillance are summarized in this study. It examines how diagnostic and prognostic metabolite signatures, such as changes in polyamine metabolism, lipid dysregulation, branched-chain amino acids, and citrate cycle intermediate which distinguish localized from metastatic disease are being revealed by high-throughput liquid chromatography-mass spectrometry (LC-MS), nuclear magnetic resonance (NMR), and integrated multi-omic technologies. According to recent studies, clinical interpretability and prediction accuracy, are improved upon, when dietary data is integrated with plasma, and also urine metabolite profiles. The study also discusses how circulating metabolites, are connected to androgen metabolism, and even tumor growth. It also shows how systemic inflammation, are impacted by dietary patterns, including plant-based, Mediterranean, and also high-fat based diets. Deep neural networks and machine learning algorithms have been combined to enhance metabolite-based risk assessment and provide opportunities for tailored treatment improvement. Analytical standardization, data harmonization, external validation, and also, regulatory qualification are amongst the major translational obstacles, which are examined in detail. In general, the convergence of precision oncology, nutritional science, and then metabolomics, does represent a paradigm shift in the treatment of prostate cancer. Hence, Urine and plasma metabolomic profiling, do provide a new non-invasive window into tumor biology and host-diet interactions, thereby, allowing for early detection, real-time monitoring, and also, the introduction of well tailored dietary interventions, in order to improve treatment outcomes.

Fields of Study & Subjects

Metabolomics and Mass Spectrometry Studies Prostate Cancer Treatment and Research Prostate Cancer Diagnosis and Treatment

Publication details

Journal / source
International Journal of Life Science Research Archive
Volume
10
Issue
1
Pages
027–045
Publication date
30 January 2026