ArticleAging2021
Comprehensive analysis of prognostic genes in gastric cancer.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Machine learning identifies INHBA DPT ADH7 FBP2 and GPR155 as diagnostic biomarkers for gastric cancer.Discover oncology · 2025Article
- Lipopolysaccharide-binding protein (LBP): a prognostic biomarker for gastric cancer linked to immune infiltration.BMC gastroenterology · 2025Article
- CEP55: Implications for Immunotherapy and Survival in Hepatocellular Carcinoma.Combinatorial chemistry & high throughput screening · 2025Article
- Significance ofFrontiers in pharmacology · 2025Article
- [CEP192 overexpression is correlated with poor prognosis of gastric cancer and promotes gastric cancer cell proliferation by regulating PLK1/CDK1/Cyclin B1 signaling].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Characterize molecular signatures and establish a prognostic signature of gastric cancer by integrating single-cell RNA sequencing and bulk RNA sequencing.Discover oncology · 2024Article
- Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways.BMC bioinformatics · 2024Article
- Prognostic mutation signature would serve as a potential prognostic predictor in patients with diffuse large B-cell lymphoma.Scientific reports · 2024Article
- Role ofQuantitative biology (Beijing, China) · 2024Article
- Complementary biomarkers of computed tomography for diagnostic grading of gastric cancer: DSCC1 and GINS1.Aging · 2024Article
- [High expression of CPNE3 correlates with poor long-term prognosis of gastric cancer by inhibiting cell apoptosisNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- MiR-455-3p inhibits gastric cancer progression by repressing Wnt/β-catenin signaling through binding to ARMC8.BMC medical genomics · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer is associated with high mortality, and effective methods for predicting prognosis are lacking. We aimed to identify potential prognostic markers associated with the development of gastric cancer through bioinformatic analyses.
methodsGastric cancer-associated gene expression profiles were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases. The key genes involved in the development of gastric cancer were obtained by differential expression analysis, coexpression analysis, and short time-series expression miner (STEM) analysis. The potential prognostic value of differentially expressed genes was further evaluated using a Cox regression model and risk scores. Hierarchical clustering was applied to validate the impact of key genes on the overall survival of gastric cancer patients.
resultsA total of 1381 genes were consistently dysregulated in the development of gastric cancer. Among them, 186 genes affected the overall survival of gastric cancer patients. The following genes had areas under the receiver operating characteristic curve greater than 0.9 in both datasets and were therefore considered key genes:
conclusionsWe found that key dysregulated genes may have a prognostic value for the development of gastric cancer.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.