ArticleFrontiers in oncology2022
Identification by Bioinformatics Analysis of Potential Key Genes Related to the Progression and Prognosis of Gastric Cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Identification of a novel ion channel-related gene signature to predict prognosis and immune response of gastric cancer.Translational cancer research · 2026Article
- LncRNA FOXP4-AS1 promotes glioma cell proliferation, metastasis, and glycolysis via the miR-136-5p/ADCYAP1R1 axis.Functional & integrative genomics · 2026Article
- Immunotherapy rechallenge in gastric cancer: resistance mechanisms, molecular stratification, and precision decision-making.Frontiers in immunology · 2026Review
- Transcriptomic Response Pathways of Yeast to Crucial Polyphenolic Acids in Rosmarinus Acid Biosynthesis.Current microbiology · 2025Article
- PSMD11 and PSMD14 may serve as novel biomarkers for the prognosis of pancreatic ductal adenocarcinoma.Frontiers in oncology · 2025Article
- Development and validation of an ARID1A-related immune genes risk model in evaluating prognosis and immune therapeutic efficacy for gastric cancer patients: a translational study.Frontiers in immunology · 2025Article
- Bioinformatics Analysis and Validation of Potential Markers Associated with Prediction and Prognosis of Gastric Cancer.International journal of molecular sciences · 2024Review
- Development and validation of an inflammatory response-related gene and clinical factor-based signature for predicting prognosis in gastric cancer.Journal of gastrointestinal oncology · 2023Article
- System Analysis Based on Lipid-Metabolism-Related Genes Identifies AGT as a Novel Therapy Target for Gastric Cancer with Neoadjuvant Chemotherapy.Pharmaceutics · 2023Article
- Common Core Genes Play Vital Roles in Gastric Cancer With Different Stages.Frontiers in genetics · 2022Article
- Integrative Machine Learning and Bioinformatics Approach for Identifying Key Biomarkers in Gallbladder Cancer Diagnosis and Progression.IET systems biologyArticle
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Despite increasingly sophisticated medical technology, the prognosis of patients with advanced gastric cancer is still not objectively certain. Therefore, it is urgent to identify new diagnostic and prognostic biomarkers. To identify potential critical genes related to gastric cancer's staging mechanism and to the prognosis of gastric cancer. Methods: Dynamic trend analysis was conducted to find genes with similar trends in gastric cancer staging in order to explore the differentially expressed genes in gastric cancer and identify the intersection of the results of the dynamic trend analysis. Functional predictive analysis were performed on the obtained genes to observe the expression of prognostic genes in gastric cancer and in gastric cancer stages as well as the correlation with tumor immune cell infiltration. Gastric cancer samples were collected and sequenced for follow-up analysis based on the results of the Cancer Genome Atlas (TCGA) database analysis. Results: The expression of genes enriched in module 0 had a similar trend in gastric cancer staging. 3213 differential genes were screened. A total of 50 intersection genes were obtained among genes with similar trends, of which only 10 genes have prognostic significance in gastric cancer. These 10 genes were correlated with macrophage infiltration in varying degrees. In addition, we found that AGT was significantly abnormally expressed in the results of sample sequencing. AGT was related to the occurrence of gastric cancer and interacted with brd9, golph3, nom1, klhl25, and psmd11. Conclusion: AGT has prominent abnormal expression in gastric cancer and may promote gastric cancer progression. This study provides a new direction for further exploring potential biomarkers and molecular targeted gastric cancer therapy.
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