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Related Concept Videos

Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
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Prediagnostic Plasma Nutrimetabolomics and Prostate Cancer Risk: A Nested Case-Control Analysis Within the EPIC

Enrique Almanza-Aguilera1, Miriam Martínez-Huélamo2,3, Yamilé López-Hernández4,5

  • 1Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain.

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|December 17, 2024
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Summary
This summary is machine-generated.

Nutrimetabolomics revealed potential links between food intake metabolites and prostate cancer (PCa) risk, particularly for advanced and fatal PCa. Further research is needed to confirm these findings in larger studies.

Keywords:
EPICnested case–controlnutrimetabolomicsprostate cancer

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Area of Science:

  • Nutrimetabolomics
  • Metabolic alterations
  • Dietary exposures

Background:

  • Prostate cancer (PCa) risk may be influenced by early metabolic changes and diet.
  • Nutrimetabolomics offers a novel approach to identify these associations.

Purpose of the Study:

  • To prospectively investigate the relationship between plasma metabolite concentrations and PCa risk.
  • To explore associations with clinically relevant tumor subtypes.

Main Methods:

  • Targeted and large-scale metabolomics analysis of plasma samples from 851 PCa case-control pairs (EPIC cohort).
  • Multivariate conditional logistic regression and False Discovery Rate (FDR) for statistical analysis.

Main Results:

  • Thirty-one metabolites, mainly from food and microbial metabolism, showed associations with PCa risk (p < 0.05).
  • Dimethylglycine and indole-3-lactic acid showed the strongest associations with advanced and fatal PCa, respectively.
  • No associations met the FDR threshold for statistical significance.

Conclusions:

  • Plasma metabolite biomarkers, reflecting food intake, may be associated with PCa risk, especially advanced and fatal forms.
  • Early metabolic deregulations could play a role in PCa development.
  • Larger, independent studies are required for validation.