ArticleBioengineered2021
Identification and validation of the prognostic value of cyclic GMP-AMP synthase-stimulator of interferon (cGAS-STING) related genes in gastric cancer.
Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 22 citations in OpenAlex.
- The role of the cGAS-STING pathway in male reproductive disorders.Molecular biology reports · 2026Review
- The interplay between autophagy and immunogenic cell death: nanomaterial-based strategies for cancer immunotherapy.Journal of nanobiotechnology · 2026Review
- A STING signaling relay from tumor cells to macrophages mediates the improved efficacy of combination chemotherapy in pancreatic cancer.Journal of biomedical science · 2026Article
- Targeting the cGAS-STING Pathway in Gastrointestinal Cancers: Modulating Tumor-associated Inflammation for Therapeutic Effect.Current drug targets · 2026Review
- pQTL Mendelian randomization analysis combined with single-cell sequencing to identify biomarkers and drug targets for bladder cancer.Molecular and clinical oncology · 2025Article
- Nanocarrier-mediated modulation of cGAS-STING signaling pathway to disrupt tumor microenvironment.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- The cGAS-STING axis: a comprehensive review from immune defense to disease pathogenesis.Immunologic research · 2025Review
- Mutation of SMARCA4 Induces Cancer Cell-Intrinsic Defects in the Enhancer Landscape and Resistance to Immunotherapy.Cancer research · 2025Article
- Multifaceted function of B cells in tumorigenesis.Frontiers of medicine · 2025Review
- cGAS/STING pathway and gastrointestinal cancer: Mechanisms and diagnostic and therapeutic targets (Review).Oncology reports · 2025Review
- The cGAS/STING Pathway-A New Potential Biotherapeutic Target for Gastric Cancer?Journal of personalized medicine · 2024Review
- cGAS-STING pathway mediates activation of dendritic cell sensing of immunogenic tumors.Cellular and molecular life sciences : CMLS · 2024Review
- Article
- The role of cGAS in epithelial dysregulation in inflammatory bowel disease and gastrointestinal malignancies.Frontiers in pharmacology · 2024Review
- Construction and evaluation of a novel prognostic risk model of aging-related genes in bladder cancer.Current urology · 2023Article
- Integration of bulk RNA sequencing data and single-cell RNA sequencing analysis on the heterogeneity in patients with colorectal cancer.Functional & integrative genomics · 2023Article
- Prognostic-related genes for pancreatic cancer typing and immunotherapy response prediction based on single-cell sequencing data and bulk sequencing data.Oncology research · 2023Article
- Development of a risk model to predict prognosis in breast cancer based on cGAS-STING-related genes.Frontiers in genetics · 2023Article
- Establishment of a Novel Prognostic Prediction Model for Gastric Cancer Based on Necroptosis-Related Genes.Pathology oncology research : POR · 2022Article
- Prognostic marker identification based on weighted gene co-expression network analysis and associatedBioengineered · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway play a significant role in the production of inflammatory cytokines and type I interferons. This study aims to develop a cGAS-STING pathway-related genes (CSRs) prediction model to predict prognosis in gastric cancer (GC). In the present study, we used The Cancer Genome Atlas (TCGA), Gene Expression Omnibus databases (GEO), CIBERSORT and Tumor Immune Estimation Resource databases (TIMER). The risk model based on five hub genes (IFNB1, IFNA4, IL6, NFKB2, and TRIM25) was constructed to predict the overall survival (OS) of GC. Further univariate Cox regression (URC) and multivariate Cox regression (MCR) analyses revealed that this risk scoring model was an independent factor. The results were verified by GEO external validation set. Multiple immune pathways were assessed by Gene Set Enrichment Analysis (GSEA). TIMER analysis demonstrated that risk score strongly correlated with Macrophage, B cells and CD8 + T cells infiltration. In addition, through 'CIBERSORT' package, the higher levels of infiltration of T cell follicular assistance (P = 0.011), NK cells-activated (P = 0.034), and Dendritic cells resting (P = 0.033) exhibited in high-risk group. Kaplan-Meier (K-M) survival analysis illustrated T cells CD4 memory resting and T cells follicular helper infiltration correlated with overall survival (OS) of GC patients in TCGA and GEO databases. Altogether, the risk score model can be conveniently used to predict prognosis. The immunocyte infiltration analysis provided a novel horizon for monitoring the status of the GC immune microenvironment.
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