ArticleGenes2019
Identification of Key Genes and Pathways in Pancreatic Cancer Gene Expression Profile by Integrative Analysis.
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 54 citations in OpenAlex.
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- Bioinformatics analysis of key biomarkers for bladder cancer.Biomedical reports · 2023Article
- Extracellular matrix is the main targeted environment in early stage of pancreatic ductal adenocarcinoma.Gastroenterology and hepatology from bed to bench · 2023Article
- Development and Validation of a Prognostic Classifier Based on Lipid Metabolism-Related Genes for Breast Cancer.Journal of inflammation research · 2022Article
- Identification of key genes and pathways in mild and severe nonalcoholic fatty liver disease by integrative analysis.Chronic diseases and translational medicine · 2021Article
- Implications of prognosis-associated genes in pancreatic tumor metastasis: lessons from global studies in bioinformatics.Cancer metastasis reviews · 2021Review
- Overcoming the Challenges of High Quality RNA Extraction from Core Needle Biopsy.Biomolecules · 2021Article
- Overexpression of Human Syndecan-1 Protects against the Diethylnitrosamine-Induced Hepatocarcinogenesis in Mice.Cancers · 2021Article
- Integration of gene expression data identifies key genes and pathways in colorectal cancer.Medical oncology (Northwood, London, England) · 2021Article
- Synergistic Tumor Cytolysis by NK Cells in Combination With a Pan-HDAC Inhibitor, Panobinostat.Frontiers in immunology · 2021Article
- Expression and Role of Heparan Sulfated Proteoglycans in Pancreatic Cancer.Frontiers in oncology · 2021Review
- Article
- Integrated analysis identifies a pathway-related competing endogenous RNA network in the progression of pancreatic cancer.BMC cancer · 2020Article
- Construction of a Competitive Endogenous RNA Network for Pancreatic Adenocarcinoma Based on Weighted Gene Co-expression Network Analysis and a Prognosis Model.Frontiers in bioengineering and biotechnology · 2020Article
- Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis.PeerJ · 2020Article
- Downregulation of miR-199a-3p in Hepatocellular Carcinoma and Its Relevant Molecular Mechanism via GEO, TCGA Database and In Silico Analyses.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic cancer is one of the malignant tumors that threaten human health.
methodsThe gene expression profiles of GSE15471, GSE19650, GSE32676 and GSE71989 were downloaded from the gene expression omnibus database including pancreatic cancer and normal samples. The differentially expressed genes between the two types of samples were identified with the Limma package using R language. The gene ontology functional and pathway enrichment analyses of differentially-expressed genes were performed by the DAVID software followed by the construction of a protein-protein interaction network. Hub gene identification was performed by the plug-in cytoHubba in cytoscape software, and the reliability and survival analysis of hub genes was carried out in The Cancer Genome Atlas gene expression data.
resultsThe 138 differentially expressed genes were significantly enriched in biological processes including cell migration, cell adhesion and several pathways, mainly associated with extracellular matrix-receptor interaction and focal adhesion pathway in pancreatic cancer. The top hub genes, namely
conclusionsThese hub genes may be used as potential targets for pancreatic cancer diagnosis and treatment.
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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 OpenQuestion graph.