Integrating metabolic profiling of pancreatic juice with transcriptomic analysis of pancreatic cancer tissue identifies distinct clinical subgroups.

ABSTRACT:

Introduction

Metabolic reprogramming is a hallmark feature of pancreatic ductal adenocarcinoma (PDAC). A pancreatic juice (PJ) metabolic signature has been reported to be prognostic of oncological outcome for PDAC. Integration of PJ profiling with transcriptomic and spatial characterization of the tumor microenvironment would help in identifying PDACs with peculiar vulnerabilities.

Methods

We performed a transcriptomic analysis of 26 PDAC samples grouped into 3 metabolic clusters (M_CL) according to their PJ metabolic profile. We analyzed molecular subtypes and transcriptional differences. Validation was performed by multidimensional imaging on tumor slides.

Results

Pancreatic juice metabolic profiling was associated with PDAC transcriptomic molecular subtypes (p=0.00

SUBMITTER: Pulvirenti A 

PROVIDER: S-EPMC11234733 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature