Research Paper|Volume 15, Issue 20|pp 11331—11368

Exosome and lipid metabolism-related genes in pancreatic adenocarcinoma: a prognosis analysis

Jia Wu¹, Yajun Li¹, Ghulam Nabi², Xin Huang³, Xu Zhang¹, Yuanzhen Wang¹, Liya Huang¹

¹Department of Gastroenterology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
²Institute of Nature Conservation, Polish Academy of Sciences, Krakow, Poland
³Department of Gastroenterology, Traditional Chinese Medicine Hospital of Yinchuan, Yinchuan, Ningxia, China

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Received: August 1, 2023Accepted: September 27, 2023Published: October 18, 2023

https://doi.org/10.18632/aging.205130

Copyright: © 2023 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Objective: The purpose of the study was to investigate the role of exosome and lipid metabolism-related genes (EALMRGs) mRNA levels in the diagnosis and prognosis of Pancreatic Adenocarcinoma (PAAD).

Methods: The mRNA expression pattern of PAAD and pan-cancers with prognostic data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. EALMRGs were acquired from GeneCards and MSigDB database after merging and deduplication. Prognostic EALMRGs were screened through univariate COX regression analysis, and a prognostic model was constructed based on these genes by least absolute shrinkage and selection operator (LASSO) regression. The prognostic value of EALMRGs was then validated in pan-cancer data. The time characteristics ROC curve analysis was performed to evaluate the effectiveness of the prognostic genes.

Results: We identified 5 hub genes (ABCB1, CAP1, EGFR, PPARG, SNCA) according to high and low-risk groups of prognoses. The risk formula was verified in three other cohort of pancreatic cancer patients and was explored in pan-cancer data. Additionally, T cell and dendritic cell infiltration was significantly increased in low-risk group. The expression of the 5 hub genes was also identified in single-cell sequencing data of pancreatic cancer with pivotal pathways. Additionally, functional enrichment analysis based on pancreatic cancer data in pancreatic cancer showed that protein serine/threonine kinase activity, focal adhesion, actin binding, cell-substrate junction, organic acid transport, and regulation of transporter activity were significant related to the expression of genes in EALMRGs.

Conclusions: Our risk formula shows potential prognostic value in multiple cancers and manifest pivotal alterations in immune infiltration and biological pathway in pancreatic cancer.