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Poster Display session

249P - The intratumoral metabolic characterization and potential mechanisms in pancreatic ductal adenocarcinoma

Date

07 Dec 2024

Session

Poster Display session

Presenters

Dong Luo

Citation

Annals of Oncology (2024) 35 (suppl_4): S1450-S1504. 10.1016/annonc/annonc1688

Authors

Y. Li1, L. Ji2, X. Gong2, D. Luo1

Author affiliations

  • 1 Department Of Pancreatic Surgery, Xiangya Hospital of Central South University, 410008 - Changsha/CN
  • 2 Department Of Pancreatic Surgery, Xiangya Hospital Central South University, 410008 - Changsha/CN

Resources

This content is available to ESMO members and event participants.

Abstract 249P

Background

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive, characterized by challenging diagnosis and limited treatment options. Metabolic reprogramming has emerged as a pivotal factor in tumor initiation, progression, and therapy resistance. Understanding the metabolic regulation of PDAC cells not only enhances our comprehension of disease mechanisms but also provides insights for developing new diagnostic and therapeutic strategies.

Methods

We conducted non-targeted metabolomics analysis on samples from 30 PDAC patients and distal pancreatic tissues to explore PDAC metabolism comprehensively.

Results

We identified a total of 315 differential metabolites, including significantly up-regulated and down-regulated ones. Key positively ionized metabolites with significantly increased expression included hydrocortisone 21-acetate, Zaleplon, and 1-methyl-3-isobutylxanthine, whereas those with decreased expression were Ile-Arg, 1-palmitoyl-2-linoleoyl-rac-glycerol, and N-oleoyl-d-erythro-sphingosylphosphorylcholine. Among negatively ionized metabolites, up-regulated ones included Erdosteine thioacid, 2-hydroxylamino-4,6-dinitrotoluene, while down-regulated ones were Trp-Val, Thr-Val-Leu, and Val-Gly-Va. KEGG analysis indicated enrichment of differential metabolites in pathways such as central carbon metabolism in cancer, protein digestion and absorption, glycine, serine, and threonine metabolism, ABC transporters, and amino acid biosynthesis. Pathway activity analysis using differential abundance scores highlighted significant upregulation in pathways including pantothenate and CoA biosynthesis, insulin resistance, beta-alanine metabolism, and bile secretion. KEGG pathway network analysis identified ABC transporters, amino acid biosynthesis, central carbon metabolism in cancer, protein digestion and absorption, and glycine, serine, and threonine metabolism as central nodes.

Conclusions

Our findings reveal distinct metabolic profiles in PDAC that potentially influence disease development through metabolites and metabolic pathways. These insights underscore the potential for targeting metabolic features in PDAC treatment strategies.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Key research and development project in Hunan Province (China) in 2024 (grant number: 2024JK2111).

Disclosure

All authors have declared no conflicts of interest.

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