Urine metabolic analysis as a noninvasive method to diagnose prostate cancer
Metabolomics can be used to build a useful predictive model for diagnosing prostate cancer from the metabolic profile in urine, using a total of 28 metabolites. Combining metabolites, particularly molecules of glycerophospholipid metabolism, glycolysis, and amino acid metabolism, with clinical variables provides an effective strategy.
Authors
- Jorge Panach‐Navarrete (ORCID: https://orcid.org/0000-0001-5522-339X)
- Vannina G. Marrachelli (ORCID: https://orcid.org/0000-0002-4097-3312)
- F. García-Morata
- José Manuel Morales-Tatay
- José María Martínez‐Jabaloyas (ORCID: https://orcid.org/0000-0003-0678-9287)
- María A. Sales (ORCID: https://orcid.org/0000-0003-0997-3397)
- Daniel Monleón (ORCID: https://orcid.org/0000-0002-4803-1573)
Institutions
- INCLIVA Health Research Institute (ES)
Publication Details
- Journal
- Urologic Oncology Seminars and Original Investigations
- Published
- 2025-11-16
- DOI
- https://doi.org/10.1016/j.urolonc.2025.10.015
- Citations
- 1
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.81