| Title: |
Prediagnostic Plasma Nutrimetabolomics and Prostate Cancer Risk: A Nested Case-Control Analysis Within the EPIC Study |
| Authors: |
Almanza-Aguilera, E; Martínez-Huélamo, M; López-Hernández, Y; Guiñón-Fort, D; Guadall, A; Cruz, M; Perez-Cornago, A; Rostgaard-Hansen, AL; Tjønneland, A; Dahm, CC; Katzke, V; Schulze, MB; Masala, G; Agnoli, C; Tumino, R; Ricceri, F; Lasheras, C; Crous-Bou, M; Sánchez, M; Aizpurua-Atxega, A; Guevara, M; Tsilidis, KK; Chatziioannou, AC; Weiderpass, E; Travis, RC |
| Publisher Information: |
MDPI |
| Publication Year: |
2025 |
| Collection: |
Oxford University Research Archive (ORA) |
| Description: |
Background and Objective: Nutrimetabolomics may reveal novel insights into early metabolic alterations and the role of dietary exposures on prostate cancer (PCa) risk. We aimed to prospectively investigate the associations between plasma metabolite concentrations and PCa risk, including clinically relevant tumor subtypes. Methods: We used a targeted and large-scale metabolomics approach to analyze plasma samples of 851 matched PCa case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Associations between metabolite concentrations and PCa risk were estimated by multivariate conditional logistic regression analysis. False discovery rate (FDR) was used to control for multiple testing correction. Results: Thirty-one metabolites (predominately derivatives of food intake and microbial metabolism) were associated with overall PCa risk and its clinical subtypes (p Conclusions: The results from the current nutrimetabolomics study suggest that apart from early metabolic deregulations, some biomarkers of food intake might be related to PCa risk, especially advanced and fatal PCa. Further independent and larger studies are needed to validate our results. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://doi.org/10.3390/cancers16234116 |
| DOI: |
10.3390/cancers16234116 |
| Availability: |
https://doi.org/10.3390/cancers16234116; https://ora.ox.ac.uk/objects/uuid:2ceb011b-9a3f-4402-ab3e-a9baed639f8b |
| Rights: |
info:eu-repo/semantics/openAccess ; CC Attribution (CC BY) |
| Accession Number: |
edsbas.412BE364 |
| Database: |
BASE |