ArticleFrontiers in oncology2021
Identification and Validation of SNP-Containing Genes With Prognostic Value in Gastric Cancer
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Explainable AI Model Reveals Informative Mutational Signatures for Cancer-Type Classification.Cancers · 2025Article
- Immunohistochemical-Based Molecular Typing of ACRG Combined With Immune-Associated PD-L1 Expression Can Predict the Prognosis of Gastric Cancer.Cancer medicine · 2025Article
- Identification of gastric cancer biomarkers throughBiochemistry and biophysics reports · 2024Article
- The association of E2F1 and E2F2 single nucleotide polymorphisms with laryngeal squamous cell carcinoma pathomorphological features.BMC cancer · 2024Article
- Article
- The Role of TP53, KRAS, CDH1, Demographic and Clinical Variables in Gastric Cancer.Materia socio-medica · 2024Article
- Pathogenic single nucleotide polymorphisms in RhoA gene: Insights into structural and functional impacts on RhoA-PLD1 interaction through molecular dynamics simulation.Current research in structural biology · 2024Article
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- Biomarkers of necrotizing enterocolitis in the era of machine learning and omics.Seminars in perinatology · 2023Review
- Evaluating the association of rs6983267 polymorphism of theMolecular biology research communications · 2023Article
- Association of PI3K/AKT/mTOR pathway autophagy-related gene polymorphisms with pulmonary tuberculosis susceptibility in a Chinese population.Revista da Sociedade Brasileira de Medicina Tropical · 2023Article
- Exploring the mechanism of andrographolide in the treatment of gastric cancer through network pharmacology and molecular docking.Scientific reports · 2022Article
- Functional Role of Mitochondrial DNA in Cancer Progression.International journal of molecular sciences · 2022Review
- Development and Application of Patient-Derived Cancer Organoidsin Clinical Management of Gastrointestinal Cancer: A State-of-the-Art Review.Frontiers in oncology · 2021Review
- MCM3AP-AS1: An Indispensable Cancer-Related LncRNA.Frontiers in cell and developmental biology · 2021Review
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer is one of the most common malignancies worldwide. Although the diagnosis and treatment of this disease have substantially improved in recent years, the five-year survival rate of gastric cancer is still low due to local recurrence and distant metastasis. An in-depth study of the molecular pathogenesis of gastric cancer and related prognostic markers will help improve the quality of life and prognosis of patients with this disease. The purpose of this study was to identify and verify key SNPs in genes with prognostic value for gastric cancer.
methodsSNP-related data from gastric cancer patients were obtained from The Cancer Genome Atlas (TCGA) database, and the functions and pathways of the mutated genes were analyzed using DAVID software. A protein-protein interaction (PPI) network was constructed using the STRING database and visualized by Cytoscape software, and molecular complex detection (MCODE) was used to screen the PPI network to extract important mutated genes. Ten hub genes were identified using cytoHubba, and the expression levels and the prognostic value of the central genes were determined by UALCAN and Kaplan-Meier Plotter. Finally, quantitative PCR and Western blotting were used to verify the expression of the hub genes in gastric cancer cells.
resultsFrom the database, 945 genes with mutations in more than 25 samples were identified. The PPI network had 360 nodes and 1616 edges. Finally, cytoHubba identified six key genes (TP53, HRAS, BRCA1, PIK3CA, AKT1, and SMARCA4), and their expression levels were closely related to the survival rate of gastric cancer patients.
conclusionOur results indicate that TP53, HRAS, BRCA1, PIK3CA, AKT1, and SMARCA4 may be key genes for the development and prognosis of gastric cancer. Our research provides an important bioinformatics foundation and related theoretical foundation for further exploring the molecular pathogenesis of gastric cancer and evaluating the prognosis of patients.
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