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Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes

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机构: [1]Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China. [2]Medical Department of Traditional Chinese Medicine, Shunde Hospital of Guangzhou University of Traditional Chinese Medicine, No. 12, Jinsha Avenue, Shunde District, Foshan, 510006, Guangdong, China.
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关键词: Colon adenocarcinoma Immunotherapy Cancer prognosis Prognostic prediction model Prognostic risk model Immune-related genes

摘要:
Colon adenocarcinoma (COAD) is one of the most common gastrointestinal tumors worldwide, and immunotherapy is one of the most promising treatments for it. Identifying immune genes involved in the development and maintenance of cancer is key to the use of tumor immunotherapy. This study aimed to determine the prognostic value of immune genes in patients with COAD and to establish an immune-related gene signature. Differentially expressed genes, immune-related genes (DEIGs), and transcription factors (DETFs) were screened using the following databases: Cistrome, The Cancer Genome Atlas (TCGA), the Immunology Database and Analysis Portal, and InnateDB. We constructed a network showing the regulation of DEIGs by DETFs. Using weighted gene co-expression network analysis, we prepared 5 co-expressed gene modules; 6 hub genes (CD1A, CD1B, FGF9, GRP, SERPINE1, and F2RL2) obtained using univariate and multivariate regression analysis were used to construct a risk model. Patients from TCGA database were divided into high- and low-risk groups based on whether their risk score was greater or less than the mean; the public dataset GSE40967, which contains gene expression profiles of 566 colon cancer patients, was used for validation.Survival analysis, somatic gene mutations, and tumor-infiltrating immune cells differed significantly between the high- and low-risk groups.This immune-related gene signature could play an important role in guiding treatment, making prognoses, and potentially developing future clinical applications.© 2022. The Author(s).

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出版当年[2021]版:
大类 | 4 区 生物学
小类 | 3 区 数学与计算生物学 4 区 生化研究方法 4 区 生物工程与应用微生物
最新[2025]版:
大类 | 4 区 生物学
小类 | 3 区 生物工程与应用微生物 4 区 生化研究方法 4 区 数学与计算生物学
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第一作者机构: [1]Surgical Department of Gastrointestinal Surgery, Shunde Hospital of Southern Medical University, No. 1 Jiazi Road, Shunde District, Foshan, 528399, Guangdong, China.
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