ArticlePathology oncology research : POR2020
Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer.
Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 34 citations in OpenAlex.
- Article
- Correlation between dyslipidaemia and gastric cancer: pathogenesis to prevention and treatment strategies.Lipids in health and disease · 2025Review
- EFNA4 deletion suppresses the migration, invasion, stemness, and angiogenesis of gastric cancer cells through the inactivation of Pygo2/Wnt signaling.Histology and histopathology · 2025Article
- Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms.Cancer medicine · 2025Article
- Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer.Discover oncology · 2025Article
- Enhancing Oocyte Quality in Aging Mice: Insights from Mesenchymal Stem Cell Therapy and FOXO3a Signaling Pathway Activation.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- CRISPR Base Editing to Create Potential Charcot-Marie-Tooth Disease Models with High Editing Efficiency: Human Induced Pluripotent Stem Cell HarboringBiomedicines · 2024Article
- Review
- Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.BMC medical genomics · 2023Article
- Early diagnostic and prognostic biomarkers for gastric cancer: systems-level molecular basis of subsequent alterations in gastric mucosa from chronic atrophic gastritis to gastric cancer.Journal, genetic engineering & biotechnology · 2023Article
- Identification of a potential competing endogenous RNA (ceRNA) network in gastric adenocarcinoma.Journal of gastrointestinal oncology · 2023Article
- Combinatorial therapy with BAR502 and UDCA resets FXR and GPBAR1 signaling and reverses liver histopathology in a model of NASH.Scientific reports · 2023Article
- Integrated bioinformatics-based identification of potential diagnostic biomarkers associated with atopic dermatitis.Postepy dermatologii i alergologii · 2022Article
- Ontologies and Knowledge Graphs in Oncology Research.Cancers · 2022Review
- A new candidate oncogenic lncRNA derived from pseudogene WFDC21P promotes tumor progression in gastric cancer.Cell death & disease · 2021Article
- Analysis of Gastric Cancer Transcriptome Allows the Identification of Histotype Specific Molecular Signatures With Prognostic Potential.Frontiers in oncology · 2021Article
- Bioinformatics analysis of laryngeal squamous cell carcinoma: seeking key candidate genes and pathways.PeerJ · 2021Article
- Identification of Early Diagnostic and Prognostic BiomarkersFrontiers in oncology · 2021Article
- Roles of Proteoglycans and Glycosaminoglycans in Cancer Development and Progression.International journal of molecular sciences · 2020Review
- Long noncoding RNA FER1L4 suppresses proliferation, invasion, migration and lymphatic metastasis of gastric cancer cells through inhibiting the Hippo-YAP signaling pathway.American journal of translational research · 2020Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Genomic features have been gradually regarded as part of the fundamentals to the clinical diagnosis and treatment for gastric cancer. However, the molecular alterations taking place during the progression of gastric cancer remain unclear. Therefore, identification of potential key genes and pathways in the gastric cancer progression is crucial to clinical practices. The gene expression profile, GSE103236, was retrieved for the identification of the differentially expressed genes (DEGs), followed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichments, gene set enrichment analysis (GSEA) and the protein-protein interaction (PPI) networks. Multiple bioinformatics platforms were employed for expression and prognostic analysis. Fresh frozen gastric cancer tissues were used for external validation. A total of 161 DEGs were identified from GSE103236. The PPI network-derived hub genes included collagen type I alpha 1 chain (COL1A1), tissue inhibitor of the metalloproteinases (TIMP1), Secreted Phosphoprotein 1 (SPP1), somatostatin (SST), neuropeptide Y (NPY), biglycan (BGN), matrix metallopeptidase 3 (MMP3), apolipoprotein E (APOE), ATPase H+/K+ transporting alpha subunit (ATP4A), lysyl oxidase (LOX). SPP1 (log rank p = 0.0048, HR = 1.39 [1.1-1.75]) and MMP3 (log rank p < 0.0001, HR = 1.77 [1.44-2.19]) were significantly associated with poor overall survival. Stage-specifically, both COL1A1 and BGN were correlated with significant in stage III and IV gastric cancer cases. LOX showed significant correlation with prognosis in stage I and stage II gastric cancer cases. Furthermore, cg00583003 of SPP1 and cg16466334 of MMP3 exhibited highly methylation level and significant prognostic values (SPP1: HR = 1.625, p = 0.013; MMP3: HR = 0.647, p = 0.011). Hub genes signature displayed a favorable prognostic value (p value = 5.227e-05). APOE demonstrated the highest correlation with CD8
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