Identification of Inflammatory Factor-related Genes Associated with the Prognosis and Immune Cell Infiltration in Colorectal Cancer Patients

Overview

Journal Genes Dis

Date 2023 Jul 26

PMID 37492736

Authors

Jialing Hu

Yingcheng He

Kaili Liao

Qijun Yang

Yuhan Xu

Gaoquan Cao

Xiaozhong Wang

Affiliations

Soon will be listed here.

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.

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