Systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism-related genes classification

Abstract High heterogeneity of lung adenocarcinoma (LUAD) is a major clinical challenge. This study aims to characterize the molecular features of LUAD through classification based on metabolism-related genes. A total of 500 LUAD samples from The Cancer Genome Atlas (TCGA) and 612 from Gene Expressi...

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Main Authors: Xiaoming Huang, Feng Zhang, Junqi Lin, Shaoming Lin, Guanle Shen, Xiaozhu Chen, Wenbiao Chen
Format: Article
Language:English
Published: Sociedade Brasileira de Genética 2023-01-01
Series:Genetics and Molecular Biology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572022000500104&tlng=en
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author Xiaoming Huang
Feng Zhang
Junqi Lin
Shaoming Lin
Guanle Shen
Xiaozhu Chen
Wenbiao Chen
author_facet Xiaoming Huang
Feng Zhang
Junqi Lin
Shaoming Lin
Guanle Shen
Xiaozhu Chen
Wenbiao Chen
author_sort Xiaoming Huang
collection DOAJ
description Abstract High heterogeneity of lung adenocarcinoma (LUAD) is a major clinical challenge. This study aims to characterize the molecular features of LUAD through classification based on metabolism-related genes. A total of 500 LUAD samples from The Cancer Genome Atlas (TCGA) and 612 from Gene Expression Omnibus (GEO) were integrated with 2,753 metabolism-related genes to determine the molecular classification. Systematic bioinformatics analysis was used to conduct correlation analysis between metabolism-related classification and molecular characteristics of LUAD. LUAD patients were divided into three molecular clusters (C1-C3). Survival analysis revealed that C1 and C2 showed good and poor prognoses, respectively. Associational analysis of classification and molecular characteristics revealed that C1 was associated with low pathological stage, metabolic pathways, high metabolic process, active immune process and checkpoint, sensitive drug response, as well as a low genetic mutation. Nevertheless, C2 was associated with high pathological stage, carcinogenic pathways, low metabolic process, inactive immune signatures, resistant drug response, and frequent genetic mutation. Eventually, a classifier with 60 metabolic genes was constructed, confirming the robustness of molecular classification on LUAD. Our findings promote the understanding of LUAD molecular characteristics, and the research data may be used for providing information be helpful for clinical diagnosis and treatment.
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spelling doaj.art-360d478e6e6748c29d1b8c6c76f5e0632023-01-17T07:32:22ZengSociedade Brasileira de GenéticaGenetics and Molecular Biology1678-46852023-01-0145410.1590/1678-4685-gmb-2022-0121Systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism-related genes classificationXiaoming HuangFeng ZhangJunqi LinShaoming LinGuanle ShenXiaozhu ChenWenbiao Chenhttps://orcid.org/0000-0002-1028-6319Abstract High heterogeneity of lung adenocarcinoma (LUAD) is a major clinical challenge. This study aims to characterize the molecular features of LUAD through classification based on metabolism-related genes. A total of 500 LUAD samples from The Cancer Genome Atlas (TCGA) and 612 from Gene Expression Omnibus (GEO) were integrated with 2,753 metabolism-related genes to determine the molecular classification. Systematic bioinformatics analysis was used to conduct correlation analysis between metabolism-related classification and molecular characteristics of LUAD. LUAD patients were divided into three molecular clusters (C1-C3). Survival analysis revealed that C1 and C2 showed good and poor prognoses, respectively. Associational analysis of classification and molecular characteristics revealed that C1 was associated with low pathological stage, metabolic pathways, high metabolic process, active immune process and checkpoint, sensitive drug response, as well as a low genetic mutation. Nevertheless, C2 was associated with high pathological stage, carcinogenic pathways, low metabolic process, inactive immune signatures, resistant drug response, and frequent genetic mutation. Eventually, a classifier with 60 metabolic genes was constructed, confirming the robustness of molecular classification on LUAD. Our findings promote the understanding of LUAD molecular characteristics, and the research data may be used for providing information be helpful for clinical diagnosis and treatment.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572022000500104&tlng=enLung adenocarcinomametabolic genemolecular characteristicsmetabolic classificationmolecular classification
spellingShingle Xiaoming Huang
Feng Zhang
Junqi Lin
Shaoming Lin
Guanle Shen
Xiaozhu Chen
Wenbiao Chen
Systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism-related genes classification
Genetics and Molecular Biology
Lung adenocarcinoma
metabolic gene
molecular characteristics
metabolic classification
molecular classification
title Systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism-related genes classification
title_full Systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism-related genes classification
title_fullStr Systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism-related genes classification
title_full_unstemmed Systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism-related genes classification
title_short Systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism-related genes classification
title_sort systematically analyzed molecular characteristics of lung adenocarcinoma using metabolism related genes classification
topic Lung adenocarcinoma
metabolic gene
molecular characteristics
metabolic classification
molecular classification
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572022000500104&tlng=en
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