Cargando…

An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration

BACKGROUND: The prognosis for colon adenocarcinoma (COAD) today remains poor. Changes in mitochondria-related genes and metabolic reprogramming are related to tumor growth, metastasis, and immune evasion and are key factors in tumor genesis and development. METHODS: TCGA database was used to analyze...

Descripción completa

Detalles Bibliográficos
Autores principales: Cao, Zichao, Lin, Jianwei, Fu, Gang, Niu, Lingshan, Yang, Zheyu, Cai, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513322/
https://www.ncbi.nlm.nih.gov/pubmed/36177002
http://dx.doi.org/10.3389/fimmu.2022.959967
_version_ 1784798035115507712
author Cao, Zichao
Lin, Jianwei
Fu, Gang
Niu, Lingshan
Yang, Zheyu
Cai, Wei
author_facet Cao, Zichao
Lin, Jianwei
Fu, Gang
Niu, Lingshan
Yang, Zheyu
Cai, Wei
author_sort Cao, Zichao
collection PubMed
description BACKGROUND: The prognosis for colon adenocarcinoma (COAD) today remains poor. Changes in mitochondria-related genes and metabolic reprogramming are related to tumor growth, metastasis, and immune evasion and are key factors in tumor genesis and development. METHODS: TCGA database was used to analyze the differentially expressed mitochondrial energy metabolism pathway-related genes (MMRGs) in COAD patients, and the mutation of MMRG in tumor cells, the biological processes involved, and the correlation with tumor immunity were also analyzed. Then, MMRG and MMRG-related genes were used to divide COAD patients into different subtypes, and immunocorrelation analysis and survival analysis were performed. Finally, univariate regression analysis and LASSO regression analysis were used to construct a prognostic risk model for COAD patients, which was verified by the GEO database and evaluated by Kaplan–Meier (K-M) and receiver operating characteristic (ROC) curves, and the correlation between the risk model and immunity and clinical subtypes based on MMRG was analyzed. RESULTS: In this study, the MMRG patterns and tumor immune microenvironment characteristics in COAD patients were systematically evaluated by clustering the expression of 188 MMRGs. We identified two subtypes of COAD with different clinical and immunological characteristics. Eight of the 28 differentially expressed MMRG genes were used to construct risk scores. ROC and K-M curves suggested that the risk model could well predict the prognosis of COAD patients, and the risk model was related to immune cell infiltration and immune function. CONCLUSIONS: The two COAD subtypes identified by MMRG are helpful for the clinical differentiation of patients with different prognoses and tumor progressions, and the risk score can assist the clinical evaluation of patient prognosis. Our results suggest that CPT2 contributes to the recruitment and regulation of neutrophils in COAD. CPT2 may act as a valuable biomarker for COAD immunotherapy.
format Online
Article
Text
id pubmed-9513322
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95133222022-09-28 An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration Cao, Zichao Lin, Jianwei Fu, Gang Niu, Lingshan Yang, Zheyu Cai, Wei Front Immunol Immunology BACKGROUND: The prognosis for colon adenocarcinoma (COAD) today remains poor. Changes in mitochondria-related genes and metabolic reprogramming are related to tumor growth, metastasis, and immune evasion and are key factors in tumor genesis and development. METHODS: TCGA database was used to analyze the differentially expressed mitochondrial energy metabolism pathway-related genes (MMRGs) in COAD patients, and the mutation of MMRG in tumor cells, the biological processes involved, and the correlation with tumor immunity were also analyzed. Then, MMRG and MMRG-related genes were used to divide COAD patients into different subtypes, and immunocorrelation analysis and survival analysis were performed. Finally, univariate regression analysis and LASSO regression analysis were used to construct a prognostic risk model for COAD patients, which was verified by the GEO database and evaluated by Kaplan–Meier (K-M) and receiver operating characteristic (ROC) curves, and the correlation between the risk model and immunity and clinical subtypes based on MMRG was analyzed. RESULTS: In this study, the MMRG patterns and tumor immune microenvironment characteristics in COAD patients were systematically evaluated by clustering the expression of 188 MMRGs. We identified two subtypes of COAD with different clinical and immunological characteristics. Eight of the 28 differentially expressed MMRG genes were used to construct risk scores. ROC and K-M curves suggested that the risk model could well predict the prognosis of COAD patients, and the risk model was related to immune cell infiltration and immune function. CONCLUSIONS: The two COAD subtypes identified by MMRG are helpful for the clinical differentiation of patients with different prognoses and tumor progressions, and the risk score can assist the clinical evaluation of patient prognosis. Our results suggest that CPT2 contributes to the recruitment and regulation of neutrophils in COAD. CPT2 may act as a valuable biomarker for COAD immunotherapy. Frontiers Media S.A. 2022-09-13 /pmc/articles/PMC9513322/ /pubmed/36177002 http://dx.doi.org/10.3389/fimmu.2022.959967 Text en Copyright © 2022 Cao, Lin, Fu, Niu, Yang and Cai https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Cao, Zichao
Lin, Jianwei
Fu, Gang
Niu, Lingshan
Yang, Zheyu
Cai, Wei
An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration
title An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration
title_full An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration
title_fullStr An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration
title_full_unstemmed An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration
title_short An integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of CPT2 in tumor immune infiltration
title_sort integrated bioinformatic investigation of mitochondrial energy metabolism genes in colon adenocarcinoma followed by preliminary validation of cpt2 in tumor immune infiltration
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513322/
https://www.ncbi.nlm.nih.gov/pubmed/36177002
http://dx.doi.org/10.3389/fimmu.2022.959967
work_keys_str_mv AT caozichao anintegratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT linjianwei anintegratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT fugang anintegratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT niulingshan anintegratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT yangzheyu anintegratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT caiwei anintegratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT caozichao integratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT linjianwei integratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT fugang integratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT niulingshan integratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT yangzheyu integratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration
AT caiwei integratedbioinformaticinvestigationofmitochondrialenergymetabolismgenesincolonadenocarcinomafollowedbypreliminaryvalidationofcpt2intumorimmuneinfiltration