Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinoma

Background: Fatty acid metabolism (FAM), as a hallmark of caner, plays important roles in tumor initiation and carcinogenesis. However, the significance of fatty acid metabolism-related genes in colon adenocarcinoma (COAD) are largely unknown.Methods: RNA sequencing data and clinical information wer...

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Main Authors: Xia Liu, Xisheng Fang, Lin Lu, Guolong Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.996625/full
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author Xia Liu
Xisheng Fang
Lin Lu
Guolong Liu
author_facet Xia Liu
Xisheng Fang
Lin Lu
Guolong Liu
author_sort Xia Liu
collection DOAJ
description Background: Fatty acid metabolism (FAM), as a hallmark of caner, plays important roles in tumor initiation and carcinogenesis. However, the significance of fatty acid metabolism-related genes in colon adenocarcinoma (COAD) are largely unknown.Methods: RNA sequencing data and clinical information were downloaded from the Cancer Genome Atlas (TCGA) cohort. Univariate and multivariate Cox regression analyses were utilized to construct a fatty acid metabolism-related gene signature. Kaplan-Meier survival and receiver operating characteristic (ROC) analyses were used to verify the performance of this signature. GEO datasets were applied to validate the signature. Maftools package was utilized to analyze the mutation profiles of this signature. Correlation between the risk signature and stemness scores was compared by RNA stemness score (RNAss). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene set variation analysis (GSVA) were performed to explore the potential functions and signaling pathways. Immune landscape of the signature was explored by analyzing different immune cells infiltration, immune functions and microsatellite instability. A nomogram was constructed by combining the risk signature and multiple clinical factors. Expression levels and prognostic values of the risk genes were revealed in the cancer genome atlas and GEO databases. Moreover, the expression the risk genes were measured in cell lines using real time quantitative PCR (qRT-PCR).Results: Eight fatty acid metabolism-related genes (CD36, ENO3, MORC2, PTGR1, SUCLG2, ELOVL3, ELOVL6 and CPT2) were used to construct a risk signature. This signature demonstrated better prognostic value than other clinicopathological parameters, with AUC value was 0.734 according to the cancer genome atlas database. There was negative correlation between the riskscore and RNA stemness score. The patients in the high-risk group demonstrated higher infiltration of M0 macrophages, and less infiltration of activated CD4 memory T cells and Eosinophils. There were more MSI patients in the high-risk group than those in the low-risk group (38% vs. 30%). The risk scores of patients in the MSI group were slightly higher than those in the microsatellite stability group. Gene ontology, kyoto encyclopedia of genes and genomes and gene set variation analysis enrichment analyses showed that several metabolism-related functions and signaling pathways were enriched. A nomogram showed good predictive capability of the signature. Moreover, qRT-PCR revealed upregulated expression of ENO3, MORC2, SUCLG2 and ELOVL6, and downregulated expression of CPT2 in all examined colon adenocarcinoma cell lines.Conclusion: This study provided novel insights into a fatty acid metabolism-related signature in the prognosis an immune landscape of colon adenocarcinoma patients.
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spelling doaj.art-d455402e7020402f9993f6faad5c099d2022-12-22T04:40:59ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-12-011310.3389/fgene.2022.996625996625Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinomaXia LiuXisheng FangLin LuGuolong LiuBackground: Fatty acid metabolism (FAM), as a hallmark of caner, plays important roles in tumor initiation and carcinogenesis. However, the significance of fatty acid metabolism-related genes in colon adenocarcinoma (COAD) are largely unknown.Methods: RNA sequencing data and clinical information were downloaded from the Cancer Genome Atlas (TCGA) cohort. Univariate and multivariate Cox regression analyses were utilized to construct a fatty acid metabolism-related gene signature. Kaplan-Meier survival and receiver operating characteristic (ROC) analyses were used to verify the performance of this signature. GEO datasets were applied to validate the signature. Maftools package was utilized to analyze the mutation profiles of this signature. Correlation between the risk signature and stemness scores was compared by RNA stemness score (RNAss). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene set variation analysis (GSVA) were performed to explore the potential functions and signaling pathways. Immune landscape of the signature was explored by analyzing different immune cells infiltration, immune functions and microsatellite instability. A nomogram was constructed by combining the risk signature and multiple clinical factors. Expression levels and prognostic values of the risk genes were revealed in the cancer genome atlas and GEO databases. Moreover, the expression the risk genes were measured in cell lines using real time quantitative PCR (qRT-PCR).Results: Eight fatty acid metabolism-related genes (CD36, ENO3, MORC2, PTGR1, SUCLG2, ELOVL3, ELOVL6 and CPT2) were used to construct a risk signature. This signature demonstrated better prognostic value than other clinicopathological parameters, with AUC value was 0.734 according to the cancer genome atlas database. There was negative correlation between the riskscore and RNA stemness score. The patients in the high-risk group demonstrated higher infiltration of M0 macrophages, and less infiltration of activated CD4 memory T cells and Eosinophils. There were more MSI patients in the high-risk group than those in the low-risk group (38% vs. 30%). The risk scores of patients in the MSI group were slightly higher than those in the microsatellite stability group. Gene ontology, kyoto encyclopedia of genes and genomes and gene set variation analysis enrichment analyses showed that several metabolism-related functions and signaling pathways were enriched. A nomogram showed good predictive capability of the signature. Moreover, qRT-PCR revealed upregulated expression of ENO3, MORC2, SUCLG2 and ELOVL6, and downregulated expression of CPT2 in all examined colon adenocarcinoma cell lines.Conclusion: This study provided novel insights into a fatty acid metabolism-related signature in the prognosis an immune landscape of colon adenocarcinoma patients.https://www.frontiersin.org/articles/10.3389/fgene.2022.996625/fullcolon adenocarcinomafatty acid metabolism geneprognosisrisk signatureimmune microenvironment
spellingShingle Xia Liu
Xisheng Fang
Lin Lu
Guolong Liu
Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinoma
Frontiers in Genetics
colon adenocarcinoma
fatty acid metabolism gene
prognosis
risk signature
immune microenvironment
title Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinoma
title_full Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinoma
title_fullStr Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinoma
title_full_unstemmed Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinoma
title_short Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinoma
title_sort prognostic significance and immune landscape of a fatty acid metabolism related gene signature in colon adenocarcinoma
topic colon adenocarcinoma
fatty acid metabolism gene
prognosis
risk signature
immune microenvironment
url https://www.frontiersin.org/articles/10.3389/fgene.2022.996625/full
work_keys_str_mv AT xialiu prognosticsignificanceandimmunelandscapeofafattyacidmetabolismrelatedgenesignatureincolonadenocarcinoma
AT xishengfang prognosticsignificanceandimmunelandscapeofafattyacidmetabolismrelatedgenesignatureincolonadenocarcinoma
AT linlu prognosticsignificanceandimmunelandscapeofafattyacidmetabolismrelatedgenesignatureincolonadenocarcinoma
AT guolongliu prognosticsignificanceandimmunelandscapeofafattyacidmetabolismrelatedgenesignatureincolonadenocarcinoma