Identification of an Immune Gene Signature Based on Tumor Microenvironment Characteristics in Colon Adenocarcinoma

被引:12
作者
Chen, Ying [1 ,2 ]
Zhao, Jia [1 ,2 ]
机构
[1] China Med Univ, Dept Med Oncol, Hosp 1, Shenyang, Peoples R China
[2] First Hosp China Med Univ, Key Lab Anticanc Drugs & Biotherapy Liaoning Prov, Shenyang, Peoples R China
关键词
colon adenocarcinoma; prognosis; tumor microenvironment; immunotherapy;
D O I
10.1177/09636897211001314
中图分类号
Q813 [细胞工程];
学科分类号
摘要
Tumor microenvironment (TME) changes are related to the occurrence and development of colon adenocarcinoma (COAD). This study aimed to analyze the characteristics of the immune microenvironment in CC, as well as the microenvironment's relationship with the clinical features of CC. Based on The Cancer Genome Atlas (TCGA) and GSE39582 cohorts, the scores of 22 tumor infiltrating lymphocytes (TILs) were calculated using CIBERSORT. ConsensusClusterPlus was used for unsupervised clustering. Three TME subtypes (TMEC1, TMEC2, and TME3) were identified based on TIL scores. TMEC2 was associated with the worst prognosis. Random forest, k-means clustering, and principal component analysis were used to construct the TME score risk signature. The median TME score was used to divide the samples into high- and low-risk groups. The prognoses of the patients with high TME scores were worse than those of the patients with low TME scores. A high TME score was an independent prognostic risk factor for patients with colon cancer. The Gene Set Enrichment Analysis (GSEA) results showed that those with high TME scores were enriched in FOCAL_ADHESION, ECM_RECEPTOR_INTERACTION, and PATHWAYS_IN_CANCER. Our findings will provide a new strategy for immunotherapy in patients with CC.
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页数:14
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