ArticlePathology oncology research : POR2017
Transcriptional Regulatory Network Analysis for Gastric Cancer Based on mRNA Microarray.
Article in Pathology oncology research : POR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Global transcriptomic network analysis of the crosstalk between microbiota and cancer-related cells in the oral-gut-lung axis.Frontiers in cellular and infection microbiology · 2024Article
- Host Transcriptional Regulatory Genes and Microbiome Networks Crosstalk through Immune Receptors Establishing Normal and Tumor Multiomics Metafirm of the Oral-Gut-Lung Axis.International journal of molecular sciences · 2023Review
- Up-regulation of collagen type V alpha 2 (Open medicine (Warsaw, Poland) · 2023Article
- Lessons to cancer from studies of leukemia and hematopoiesis.Frontiers in cell and developmental biology · 2022Review
- mRBioM: An Algorithm for the Identification of Potential mRNA Biomarkers From Complete Transcriptomic Profiles of Gastric Adenocarcinoma.Frontiers in genetics · 2021Article
- Identification of key miRNA-gene pairs in gastric cancer through integrated analysis of mRNA and miRNA microarray.American journal of translational research · 2021Article
- High expression of TREM2 promotes EMT via the PI3K/AKT pathway in gastric cancer: bioinformatics analysis and experimental verification.Journal of Cancer · 2021Article
- Identifying Diagnostic and Prognostic Biomarkers and Candidate Therapeutic Drugs of Gastric Cancer Based on Transcriptomics and Single-Cell Sequencing.Pathology oncology research : POR · 2021Article
- Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.BioMed research international · 2020Article
- Article
- Identification of Key Genes and Circular RNAs in Human Gastric Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to screen the differential expressed genes (DEGs) and transcriptional factors (TFs) related to gastric cancer. GSE19826 microarray data downloaded from Gene Expression Omnibus was used to identify the differentially expressed genes (DEGs) and PPI network of DEGs were constructed by the Retrieval of Interacting Genes database. Pathway enrichment analysis of DEGs were performed by Gene Set Enrichment Analysis. Then, the transcriptional regulatory network was constructed based on TRANSFAC database. Finally, regulatory impact factor (RIF) of TF was calculated. We identified 446 DEGs including 209 up- and 237 down-regulated genes. These DEGs were mainly significantly enriched in 5 pathways including ECM receptor interaction (p = 0.013899), spliceosome (p = 0.025591), bladder cancer (p = 0.026316), focal adhesion (p = 0.047809) and WNT signaling pathway (p = 0.048077). PPI network with 247 nodes and 913 edges were constructed and COL5A2 was the hub node. Transcriptional regulatory network with 6 differently expressed TFs, 58 non-differently expressed TFs, 44 DEGs and 735 non-DEGs was constructed. Finally, top 5 TFs including CRX, TFAP4, NKX2-1, MYB and RARG with higher Z
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Registered trials
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