ArticleFrontiers in surgery2022
Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Exploring the role of lipid metabolism genes in gastric cancer prognosis and tumor immune microenvironment.The Journal of international medical research · 2025Article
- MAZ-mediated LAMA5 transcription activation promotes gastric cancer progression through the STAT3 signaling.Functional & integrative genomics · 2025Article
- Article
- Identification of a Novel Protein-Based Prognostic Model in Gastric Cancers.Biomedicines · 2023Article
- The analysis of tumor-infiltrating immune cell and ceRNA networks in laryngeal squamous cell carcinoma.Medicine · 2022Article
- Bioinformatics Analysis Revealing the Correlation between NF-Computational and mathematical methods in medicine · 2022Article
- N6-methylandenosine-related immune genes correlate with prognosis and immune landscapes in gastric cancer.Frontiers in oncology · 2022Article
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Authors and funding
8 authors.
Funding
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Abstract
A growing number of studies have shown that immunity plays an important clinical role in the process of gastric cancer (GC). The purpose of this study was to explore the function of differentially expressed immune-related genes (DEIRGs) of GC, and construct a gene signature to predict the overall survival (OS) of patients. Gene expression profiles and clinical data of GC patients were downloaded from TCGA and GEO databases. Combined with immune-related genes (IRGs) downloaded from the ImmPort database, 357 DEIRGs in GC tissues and adjacent tissues were identified. Based on the analysis of Lasso and Cox in the training set, a prognostic risk scoring model consisting of 9 (RBP7, DES, CCR1, PNOC, SPP1, VIP, TNFRSF12A, TUBB3, PRKCG) DEIRGs was obtained. Functional analysis revealed that model genes may participate in the formation and development of tumor cells by affecting the function of cell gap junction intercellular communication (GJJC). According to the model score, the samples were divided into high-risk and low-risk groups. In multivariate Cox regression analysis, the risk score was an independent prognostic factor (HR = 1.674, 95% CI = 1.470-1.907,
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