Evaluating Differential Metabolic Profiles by Prostate Cancer Risk Among Prostate Cancer Patients

<b>Background:</b> Currently there are no clinically validated biomarkers recommended for prostate cancer (PCa) risk stratification other than prostate-specific antigen (PSA). <b>Objective:</b> This study aimed to identify urine metabolites that are associated with the presence of high-grade PCa at the time of radical prostatectomy. <b>Methods:</b> Urine samples were collected from patients who underwent radical prostatectomy. High-resolution metabolomics were implemented using liquid chromatography mass spectrometry (LC-MS). To enhance metabolic feature identification, sample extracts were analyzed in two modes, C18 chromatography [reverse-phase (RP)] and hydrophilic interaction chromatography (HILIC). <b>Results:</b> This analysis included a total of 22 patients with PCa (10 high-grade and 12 low-grade) and identified 52 differential metabolites, 40 in RP and 12 in HILIC, at the <i>p</i>-value 0.05 level. Among these, methyl alpha-aspartyl phenylalaninate was most significantly differentiated, while 3-methylbutanoicacid had the largest difference (slope -3.488). In the pathway analysis, the histidine metabolism pathway was significantly enriched (<i>p</i> < 0.05) with an enrichment factor of 3.5. Although not statistically significant, alterations were also observed in the vitamin B12, B7 (biotin), B6, and B3 (niacin) pathways. <b>Conclusions:</b> These findings suggest that urinary metabolites may have the potential to differentiate high-grade from low-grade PCa. Our study also highlights the metabolic reprogramming that occurs as PCa becomes more aggressive and potential differences in dietary patterns.

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Publication Details

Journal
Metabolites
Published
2025-11-21
DOI
https://doi.org/10.3390/metabo15120757
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.81

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article

Evaluating Differential Metabolic Profiles by Prostate Cancer Risk Among Prostate Cancer Patients

Melissa Furlong, Tuo Liu, Shawn C. Beitel, Benjamin R. Lee et al.
1 citations
Metabolites
Metabolomics and Mass Spectrometry Studies
0.81
article

Evaluating Differential Metabolic Profiles by Prostate Cancer Risk Among Prostate Cancer Patients

Melissa Furlong, Tuo Liu, Shawn C. Beitel, Benjamin R. Lee, Juan Chipollini, Ken Batai, Jefferey L. Burgess, Justin M. Snider, Jahnvi Roorkeewal
article en
1 citations

Abstract

<b>Background:</b> Currently there are no clinically validated biomarkers recommended for prostate cancer (PCa) risk stratification other than prostate-specific antigen (PSA). <b>Objective:</b> This study aimed to identify urine metabolites that are associated with the presence of high-grade PCa at the time of radical prostatectomy. <b>Methods:</b> Urine samples were collected from patients who underwent radical prostatectomy. High-resolution metabolomics were implemented using liquid chromatography mass spectrometry (LC-MS). To enhance metabolic feature identification, sample extracts were analyzed in two modes, C18 chromatography [reverse-phase (RP)] and hydrophilic interaction chromatography (HILIC). <b>Results:</b> This analysis included a total of 22 patients with PCa (10 high-grade and 12 low-grade) and identified 52 differential metabolites, 40 in RP and 12 in HILIC, at the <i>p</i>-value 0.05 level. Among these, methyl alpha-aspartyl phenylalaninate was most significantly differentiated, while 3-methylbutanoicacid had the largest difference (slope -3.488). In the pathway analysis, the histidine metabolism pathway was significantly enriched (<i>p</i> < 0.05) with an enrichment factor of 3.5. Although not statistically significant, alterations were also observed in the vitamin B12, B7 (biotin), B6, and B3 (niacin) pathways. <b>Conclusions:</b> These findings suggest that urinary metabolites may have the potential to differentiate high-grade from low-grade PCa. Our study also highlights the metabolic reprogramming that occurs as PCa becomes more aggressive and potential differences in dietary patterns.

MetabolitesVol. 15(12)
Roswell Park Comprehensive Cancer Center (US), University of Arizona (US)
University of Arizona Cancer Center, National Institutes of Health, National Cancer Institute
Openalex Percentile: Top 21%
Metabolomics and Mass Spectrometry Studies
0.81
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