Evidence map›Paper›PMID 38753153›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2024

Deciphering fatty acid biosynthesis-driven molecular subtypes in pancreatic ductal adenocarcinoma with prognostic insights.

Junyi Xu, Mingzhu Liu, Jing Xue, Ping Lu

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Junyi XuState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Rd, Shanghai, 200127, China.
Mingzhu LiuState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Rd, Shanghai, 200127, China.
Jing XueState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Rd, Shanghai, 200127, China. jingxue@sjtu.edu.cn.
Ping LuState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Rd, Shanghai, 200127, China. luping314@126.com.

Funding

National Natural Science Foundation of China 32170826National Natural Science Foundation of China 82022049Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant 20161312
6 · The paper itself

Abstract

purposePancreatic ductal adenocarcinoma (PDAC) poses a significant challenge due to its high heterogeneity and aggressiveness. Recognizing the urgency to delineate molecular subtypes, our study focused on the emerging field of lipid metabolism remodeling in PDAC, particularly exploring the prognostic potential and molecular classification associated with fatty acid biosynthesis.

methodsGene set variation analysis (GSVA) and single-sample gene set enrichment analysis (ssGSEA) were performed to evaluate the dysregulation of lipid metabolism in PDAC. Univariate cox analysis and the LASSO module were used to build a prognostic risk score signature. The distinction of gene expression in different risk groups was explored by the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and Weighted Gene Co-expression Network Analysis (WGCNA). The biological function of Acyl-CoA Synthetase Long Chain Family Member 5 (ACSL5), a pivotal gene within 7-hub gene signature panel, was validated through in vitro assays.

resultsOur study identified a 7-hub gene signature associated with fatty acid biosynthesis-related genes (FRGs), providing a robust tool for prognosis prediction. The high-FRGs score group displayed a poorer prognosis, decreased immune cell infiltration, and a higher tumor mutation burden. Interestingly, this group exhibited enhanced responsiveness to various compounds according to the Genomics of Drug Sensitivity in Cancer (GDSC) database. Notably, ACSL5 was upregulated in PDAC and essential for tumor progression.

conclusionIn conclusion, our research defined two novel fatty acid biosynthesis-based subtypes in PDAC, characterized by distinct transcriptional profiles. These subtypes not only served as prognostic indicator, but also offered valuable insights into their metastatic propensity and therapeutic potential.

Indexed as

Carcinoma, Pancreatic DuctalFatty AcidsGene Expression Regulation, NeoplasticPancreatic NeoplasmsBiomarkers, TumorCell Line, TumorCoenzyme A LigasesGene Expression ProfilingGene Regulatory NetworksHumansLipid MetabolismPrognosisBiomarkers, TumorCoenzyme A LigasesFatty AcidsACSL5Fatty acid biosynthesisImmune escapeMetastasisPancreatic ductal adenocarcinoma

Identifiers

PMID38753153
PMCPMC12973962

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.