ArticleMolecular medicine reports2016
Gene expression profile analysis of pancreatic cancer based on microarray data.
Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- An integrative mutational and network analysis of pancreatic cancer reveals key genes, and signalling pathways.Functional & integrative genomics · 2026Article
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- Bioinformatic and experimental analyses of key biomarkers in pancreatic cancer.Experimental and therapeutic medicine · 2021Article
- An Integrated Data Analysis of mRNA, miRNA and Signaling Pathways in Pancreatic Cancer.Biochemical genetics · 2021Article
- Identification of hub genes in gastric cancer by integrated bioinformatics analysis.Translational cancer research · 2021Article
- Increased expression of plakoglobin is associated with upregulated MAPK and PI3K/AKT signalling pathways in early resectable pancreatic ductal adenocarcinoma.Oncology letters · 2020Article
- Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.BioMed research international · 2020Article
- G Protein γ subunit 7 loss contributes to progression of clear cell renal cell carcinoma.Journal of cellular physiology · 2019Article
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- Internal enhancement of DNA damage by a novel bispecific antibody-drug conjugate-like therapeutics via blockage of mTOR and PD-L1 signal pathways in pancreatic cancer.Cancer medicine · 2019Article
- Identification of hub genes and analysis of prognostic values in pancreatic ductal adenocarcinoma by integrated bioinformatics methods.Molecular biology reports · 2018Article
- The evolution into personalized therapies in pancreatic ductal adenocarcinoma: challenges and opportunities.Expert review of anticancer therapy · 2018Review
- CDK1-mediated mitotic phosphorylation of PBK is involved in cytokinesis and inhibits its oncogenic activity.Cellular signalling · 2017Article
- Human basonuclin 2 up-regulates a cascade set of interferon-stimulated genes with anti-cancerous properties in a lung cancer model.Cancer cell international · 2017Article
- Microarray Analysis of the Expression Profile of Long Non-Coding RNAs Indicates lncRNA RP11-263F15.1 as a Biomarker for Diagnosis and Prognostic Prediction of Pancreatic Ductal Adenocarcinoma.Journal of Cancer · 2017Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study identified differentially‑expressed genes (DEGs) between pancreatic cancer (PC) tissues and normal tissues, and assessed genetic factors associated with the pathogenesis of PC. The mRNA expression microarray dataset, GSE16515, containing 52 samples, including 16 paired tumor and normal tissue samples, and 20 tumor samples, was downloaded from Gene Expression Omnibus. Raw data were normalized and DEGs were identified. Subsequently, clustering was performed, protein‑protein interaction networks were drawn, and functional and pathway enrichment analyses of the DEGs were performed. Copy number variations of DEGs were also identified. A total of 1,765 DEGs between PC and normal tissues were identified, including 1,312 upregulated and 453 downregulated DEGs. Upregulated DEGs were associated with the regulation of nucleocytoplasmic and intracellular transport, whereas downregulated DEGs were associated with the response to organic substances and hormone stimulus. The pancreatic cancer pathway was connected to three DEGs, namely transforming growth factor β1 (TGFB1), TGFβ receptor 1 (TGFBR1) and epidermal growth factor (EGF), which had 2, 3 and 5 CNVs, respectively. These results indicated the important roles of TGFB1, TGFBR1 and EGF in the pathogenesis of PC. These genes may be potential therapeutic targets for the treatment of PC.
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