ArticlePeerJ2020
Identifying multiple collagen gene family members as potential gastric cancer biomarkers using integrated bioinformatics analysis.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Review
- Selective sweep and mammary transcriptomics identify breed-specific lactation drivers in East Friesian dairy sheep.Journal of animal science · 2025Article
- Analysis of miRNAs inPharmaceuticals (Basel, Switzerland) · 2023Article
- Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.World journal of clinical cases · 2023Article
- ENTPD1-AS1-miR-144-3p-mediated high expression ofWorld journal of gastrointestinal oncology · 2023Article
- Up-regulation of collagen type V alpha 2 (Open medicine (Warsaw, Poland) · 2023Article
- Bioinformatics and pathway enrichment analysis identified hub genes and potential biomarker for gastric cancer prognosis.Frontiers in oncology · 2023Article
- Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis.International journal of molecular sciences · 2022Article
- PDGFRB is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer.Cancer biomarkers : section A of Disease markers · 2022Article
- Implications of Human Antimicrobial Peptide Defensin Beta-1 in Clinical Oral Squamous Cell Carcinoma Patients via an Integrated Bioinformatics Approach.Computational and mathematical methods in medicine · 2022Article
- Identification of circRNA Biomarker for Gastric Cancer through Integrated Analysis.Frontiers in molecular biosciences · 2022Article
- The Emerging Role of MTHFD Family Genes in Regulating the Tumor Immunity of Oral Squamous Cell Carcinoma.Journal of oncology · 2022Article
- A tumour-resident Lgr5Nature cell biology · 2021Article
- Upregulation of HOXC9 generates interferon-gamma resistance in gastric cancer by inhibiting the DAPK1/RIG1/STAT1 axis.Cancer science · 2021Article
- Differential Expression of COL1A1, COL1A2, COL6A3, and SULF1 as Prognostic Biomarkers in Gastric Cancer.International journal of general medicine · 2021Article
- Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.BioMed research international · 2020Article
- Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods.Frontiers in cell and developmental biology · 2020Article
- Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis.Frontiers in genetics · 2020Article
- Crosstalk Between Cancer Associated Fibroblasts and Cancer Cells in Scirrhous Type Gastric Cancer.Frontiers in oncology · 2020Review
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer is one of the most common malignant cancers worldwide. Despite substantial developments in therapeutic strategies, the five-year survival rate remains low. Therefore, novel biomarkers and therapeutic targets involved in the progression of gastric tumors need to be identified.
methodsWe obtained the mRNA microarray datasets GSE65801, GSE54129 and GSE79973 from the Gene Expression Omnibus database to acquire differentially expressed genes (DEGs). We used the Database for Annotation, Visualization, and Integrated Discovery (DAVID) to analyze DEG pathways and functions, and the Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape to obtain the protein-protein interaction (PPI) network. Next, we validated the hub gene expression levels using the Oncomine database and Gene Expression Profiling Interactive Analysis (GEPIA), and conducted stage expression and survival analysis.
resultsFrom the three microarray datasets, we identified nine major hub genes: COL1A1, COL1A2, COL3A1, COL5A2, COL4A1, FN1, COL5A1, COL4A2, and COL6A3.
conclusionOur study identified COL1A1 and COL1A2 as potential gastric cancer prognostic biomarkers.
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