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Dataset Information

Identification of Metabolic Characteristic-Pancreatic Ductal Adenocarcinoma Associations Using Mendelian Randomization and Metabolomics.


ABSTRACT:

Background

Metabolic reprogramming is increasingly recognized as a crucial factor influencing the development, progression, and prognosis of pancreatic ductal adenocarcinoma (PDAC). Despite this, the potential association of specific metabolic characteristics and PDAC remains ambiguous due to the variability introduced by individual patient differences. In this study, we aimed to find out metabolic pathways that may be associated with the overall survival (OS) of PDAC patients.

Methods

We utilized Mendelian randomization (MR) to assess the associations between 1400 metabolites and metabolite ratios and PDAC. We performed functional annotation and pathway enrichment analysis on both significant metabolites and the shared proteins corresponding to the significant metabolite ra

SUBMITTER: Xiang Y 

PROVIDER: S-EPMC11753325 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature