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The prognostic role of fatty acid metabolism-related genes in patients with gastric cancer

BACKGROUND: With the deepening research on fatty acid metabolism, people have achieved a preliminary understanding of it in the development and prognosis of tumors. However, few studies are still on the expression pattern and prognostic value of fatty acid metabolism-related genes in gastric cancer...

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Autores principales: Xu, Wei, Ding, He, Zhang, Man, Liu, Lu, Yin, Minyue, Weng, Zhen, Xu, Chunfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641091/
https://www.ncbi.nlm.nih.gov/pubmed/36388036
http://dx.doi.org/10.21037/tcr-22-761
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author Xu, Wei
Ding, He
Zhang, Man
Liu, Lu
Yin, Minyue
Weng, Zhen
Xu, Chunfang
author_facet Xu, Wei
Ding, He
Zhang, Man
Liu, Lu
Yin, Minyue
Weng, Zhen
Xu, Chunfang
author_sort Xu, Wei
collection PubMed
description BACKGROUND: With the deepening research on fatty acid metabolism, people have achieved a preliminary understanding of it in the development and prognosis of tumors. However, few studies are still on the expression pattern and prognostic value of fatty acid metabolism-related genes in gastric cancer (GC). METHODS: We chose 93 genes relevant to fatty acid metabolism from the Gene Set Enrichment Analysis (GSEA) database. We analyzed differentially expressed genes (DEGs) in The Cancer Genome Atlas (TCGA) patients. Univariate Cox analysis and LASSO regression were used to select the genes most related to prognosis and therefore developed a prognosis model. In addition, a dataset of 76 samples from Gene Expression Omnibus (GEO) selected as a test set to aid in the development of a prognostic model. The prognostic relevance of this model was confirmed using Kaplan-Meier survival analysis, univariate/multivariate Cox analysis, and receiver operating characteristic (ROC) curve. Finally, enrichment analysis and protein-protein interaction (PPI) were used to analyze the functional differences of patients with different risk. Immune infiltration analysis based on CIBERSORT could check the infiltration degree and immune function changes of immune cell subtypes in patients with different risk groups. RESULTS: Overexpression of ELOVL4, ADH4, CPT1C, and ADH1B was linked to poor overall survival (OS) in GC patients, according to our findings. Furthermore, according to prognostic factors, patients with lower risk score tend to have better prognosis than patients with higher risk score. In addition, we also found that the infiltration levels of B cells, dendritic cells, auxiliary T cells, mast cells, neutrophils and tumor-infiltrating lymphocytes in patients with high-risk group were significantly increased, and the type II IFN response of immune cells, CCR and MHC class I receptor functions were significantly enhanced, suggesting that the tumor microenvironment immune activity in patients with high-risk group was active. CONCLUSIONS: Four fatty acid metabolism-related genes were discovered to be closely connected to the prognosis of individuals with GC. Through analysis and verification, we believed that this prognostic model was reliable and instructive in the prediction of the prognosis of GC.
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spelling pubmed-96410912022-11-15 The prognostic role of fatty acid metabolism-related genes in patients with gastric cancer Xu, Wei Ding, He Zhang, Man Liu, Lu Yin, Minyue Weng, Zhen Xu, Chunfang Transl Cancer Res Original Article BACKGROUND: With the deepening research on fatty acid metabolism, people have achieved a preliminary understanding of it in the development and prognosis of tumors. However, few studies are still on the expression pattern and prognostic value of fatty acid metabolism-related genes in gastric cancer (GC). METHODS: We chose 93 genes relevant to fatty acid metabolism from the Gene Set Enrichment Analysis (GSEA) database. We analyzed differentially expressed genes (DEGs) in The Cancer Genome Atlas (TCGA) patients. Univariate Cox analysis and LASSO regression were used to select the genes most related to prognosis and therefore developed a prognosis model. In addition, a dataset of 76 samples from Gene Expression Omnibus (GEO) selected as a test set to aid in the development of a prognostic model. The prognostic relevance of this model was confirmed using Kaplan-Meier survival analysis, univariate/multivariate Cox analysis, and receiver operating characteristic (ROC) curve. Finally, enrichment analysis and protein-protein interaction (PPI) were used to analyze the functional differences of patients with different risk. Immune infiltration analysis based on CIBERSORT could check the infiltration degree and immune function changes of immune cell subtypes in patients with different risk groups. RESULTS: Overexpression of ELOVL4, ADH4, CPT1C, and ADH1B was linked to poor overall survival (OS) in GC patients, according to our findings. Furthermore, according to prognostic factors, patients with lower risk score tend to have better prognosis than patients with higher risk score. In addition, we also found that the infiltration levels of B cells, dendritic cells, auxiliary T cells, mast cells, neutrophils and tumor-infiltrating lymphocytes in patients with high-risk group were significantly increased, and the type II IFN response of immune cells, CCR and MHC class I receptor functions were significantly enhanced, suggesting that the tumor microenvironment immune activity in patients with high-risk group was active. CONCLUSIONS: Four fatty acid metabolism-related genes were discovered to be closely connected to the prognosis of individuals with GC. Through analysis and verification, we believed that this prognostic model was reliable and instructive in the prediction of the prognosis of GC. AME Publishing Company 2022-10 /pmc/articles/PMC9641091/ /pubmed/36388036 http://dx.doi.org/10.21037/tcr-22-761 Text en 2022 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Xu, Wei
Ding, He
Zhang, Man
Liu, Lu
Yin, Minyue
Weng, Zhen
Xu, Chunfang
The prognostic role of fatty acid metabolism-related genes in patients with gastric cancer
title The prognostic role of fatty acid metabolism-related genes in patients with gastric cancer
title_full The prognostic role of fatty acid metabolism-related genes in patients with gastric cancer
title_fullStr The prognostic role of fatty acid metabolism-related genes in patients with gastric cancer
title_full_unstemmed The prognostic role of fatty acid metabolism-related genes in patients with gastric cancer
title_short The prognostic role of fatty acid metabolism-related genes in patients with gastric cancer
title_sort prognostic role of fatty acid metabolism-related genes in patients with gastric cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641091/
https://www.ncbi.nlm.nih.gov/pubmed/36388036
http://dx.doi.org/10.21037/tcr-22-761
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