Identification of inflammatory factor-related genes associated with the prognosis and immune cell infiltration in colorectal cancer patients

Jialing Hu; Yingcheng He; Kaili Liao; Qijun Yang; Yuhan Xu; Gaoquan Cao; Xiaozhong Wang

doi:10.1016/j.gendis.2022.07.015

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Identification of inflammatory factor-related genes associated with the prognosis and immune cell infiltration in colorectal cancer patients

Full-length article | 更新时间：2023-08-29

- Identification of inflammatory factor-related genes associated with the prognosis and immune cell infiltration in colorectal cancer patients
- Genes & Diseases Vol. 10, Issue 5, (2023)
- 作者机构：
  
  1. Queen Mary College of Nanchang University,Jiangxi,Nanchang,China,330001
  2. Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University,Jiangxi,Nanchang,China,330006
  3. Jiangxi Province Key Laboratory of Laboratory Medicine, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University,Jiangxi,Nanchang,China,330006
  4. The Forth Clinical School of Nanchang University,Jiangxi,Nanchang,China,330002
  5. Department of Anesthesiology, Ganzhou People's Hospital,Jiangxi,Ganzhou,China,341000
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gendis.2022.07.015
  CLC：
- Published：2023，
  
  Published Online：1 September 2023，
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Jialing Hu, Yingcheng He, Kaili Liao, et al. Identification of inflammatory factor-related genes associated with the prognosis and immune cell infiltration in colorectal cancer patients. [J]. Genes & Diseases 10(5).(2023)
DOI：

Jialing Hu, Yingcheng He, Kaili Liao, et al. Identification of inflammatory factor-related genes associated with the prognosis and immune cell infiltration in colorectal cancer patients. [J]. Genes & Diseases 10(5).(2023) DOI： 10.1016/j.gendis.2022.07.015.

摘要

Abstract

This study aims to identify the inflammatory factor-related genes which help to predict the prognosis of patients with colorectal cancer. GSEA (Gene Set Enrichment Analysis) was used to acquire inflammation-related genes and the corresponding expression information was collected from TCGA database to determine the DEGs (differentially-expressed genes) in CRC patients. We conducted enrichment analysis and PPI (protein–protein interaction) of these DEGs. Besides

key genes that are both differentially-expressed and prognosis-related were screened out

which were used to establish the prognostic model. We obtained 79 DEGs and 19 prognostic genes

10 prognostic-related differential genes were eventually screened. These genes were used to construct the prognostic model. We also identified that the immune infiltration score of macrophages between different risk groups was significantly different and similar distinction was witnessed in immune function score of APC (antigen-presenting cell) co-stimulation and type I IFN (interferon) response.

关键词

Keywords

BiomarkerColorectal cancer (CRC)Immune infiltrationInflammatory factorsPredicting model

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