Exploring the Interplay between Metabolism and Tumor Microenvironment Based on Four Major Metabolism Pathways in Colon Adenocarcinoma

Tumor metabolism plays a critical role in tumor progression. However, the interaction between metabolism and tumor microenvironment (TME) has not been comprehensively revealed in colon adenocarcinoma (COAD). We used unsupervised consensus clustering to establish three molecular subtypes (clusters) b...

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Published in:Journal of oncology 2022-06, Vol.2022, p.1-17
Main Authors: Qiao, Xiaofang, Zhang, Guangmei, Xiao, Yajie, Cui, Xiaoli, Zhao, Zhikun, Wu, Dongfang, Liu, Xuefei
Format: Article
Language:English
Subjects:
Adenocarcinoma
Angiogenesis
Biomarkers
Cancer
Colon
Colon cancer
Colorectal cancer
Cytotoxicity
Datasets
Development and progression
Gene expression
Genes
Genomes
Growth factors
Immunotherapy
Medical prognosis
Metabolism
Metastasis
RNA sequencing
Software
Statistical analysis
Tumors
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container_title Journal of oncology
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creator Qiao, Xiaofang
Zhang, Guangmei
Xiao, Yajie
Cui, Xiaoli
Zhao, Zhikun
Wu, Dongfang
Liu, Xuefei
description Tumor metabolism plays a critical role in tumor progression. However, the interaction between metabolism and tumor microenvironment (TME) has not been comprehensively revealed in colon adenocarcinoma (COAD). We used unsupervised consensus clustering to establish three molecular subtypes (clusters) based on the enrichment score of four major metabolism pathways in TCGA-COAD dataset. GSE17536 was used as a validation dataset. Single-cell RNA sequencing data (GSE161277) was employed to further verify the reliability of subtyping and characterize the correlation between metabolism and TME. Three clusters were identified and they performed distinct prognosis and molecular features. Clust3 had the worst overall survival and the highest enrichment score of glycolysis. 86 differentially expressed genes (DEGs) were identified, in which 11 DEGs were associated with favorable prognosis and 75 DEGs were associated with poor prognosis. Striking correlations were observed between hypoxia and glycolysis, clust3 and hypoxia, and clust3 and angiogenesis (P
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However, the interaction between metabolism and tumor microenvironment (TME) has not been comprehensively revealed in colon adenocarcinoma (COAD). We used unsupervised consensus clustering to establish three molecular subtypes (clusters) based on the enrichment score of four major metabolism pathways in TCGA-COAD dataset. GSE17536 was used as a validation dataset. Single-cell RNA sequencing data (GSE161277) was employed to further verify the reliability of subtyping and characterize the correlation between metabolism and TME. Three clusters were identified and they performed distinct prognosis and molecular features. Clust3 had the worst overall survival and the highest enrichment score of glycolysis. 86 differentially expressed genes (DEGs) were identified, in which 11 DEGs were associated with favorable prognosis and 75 DEGs were associated with poor prognosis. Striking correlations were observed between hypoxia and glycolysis, clust3 and hypoxia, and clust3 and angiogenesis (P&lt;0.001).We constructed a molecular subtyping system which was effective and reliable for predicting COAD prognosis. 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subjects Adenocarcinoma
Angiogenesis
Biomarkers
Cancer
Colon
Colon cancer
Colorectal cancer
Cytotoxicity
Datasets
Development and progression
Gene expression
Genes
Genomes
Growth factors
Immunotherapy
Medical prognosis
Metabolism
Metastasis
RNA sequencing
Software
Statistical analysis
Tumors
title Exploring the Interplay between Metabolism and Tumor Microenvironment Based on Four Major Metabolism Pathways in Colon Adenocarcinoma
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