ArticleBioMed research international2021
Construction of miRNA-mRNA-TF Regulatory Network for Diagnosis of Gastric Cancer.
Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 22 citations in OpenAlex.
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- Therapeutic regulation of gut microbiota in gastric cancer: mechanisms, strategies, and clinical prospects.Frontiers in microbiology · 2026Review
- Multifaceted functions of transcription regulatory factor X6 (RFX6): from pancreatic development to cancer progression.Cancer cell international · 2025Review
- Bending the boundaries: the many facets of endophilin-As from membrane dynamics to disease.Cellular and molecular life sciences : CMLS · 2025Review
- Effects of polyunsaturated fatty acids on gastric cancer immunity and immunotherapy.Scientific reports · 2025Article
- Identification of gene signatures associated with lactation for predicting prognosis and treatment response in breast cancer patients through machine learning.Scientific reports · 2025Article
- Chloride intracellular channel 6 inhibits hepatocellular carcinoma progression by modulating immune cell balance and promoting tumor cell apoptosis.CytoJournal · 2025Article
- A Glycolysis and gluconeogenesis-related model for breast cancer prognosis.Cancer biomarkers : section A of Disease markers · 2024Article
- SH3GL2 and MMP17 as lung adenocarcinoma biomarkers: a machine-learning based approach.Biochemistry and biophysics reports · 2024Article
- Construct dysregulated miRNA-mRNA interaction networks to conjecture possible pathogenesis for Stomach adenocarcinomas.Cancer biomarkers : section A of Disease markers · 2024Article
- Pan-cancer analysis of PSCA that is associated with immune infiltration and affects patient prognosis.PloS one · 2024Article
- Differentially expressed microRNA in prognosis of gastric cancer with Lauren classification.Cancer biomarkers : section A of Disease markers · 2024Article
- Review
- Epigenetic Regulation of miR-25 and Lnc107153 on Expression of Seasonal Estrus Key GeneBiology · 2023Article
- Hypoxic Tumor-Derived Exosomal miR-199a-3p Promote Gastric Cancer Metastasis via MAP3K4.Journal of Cancer · 2023Article
- Establishment of a Combined Diagnostic Model of Abdominal Aortic Aneurysm with Random Forest and Artificial Neural Network.BioMed research international · 2022Article
- Identification and immune characteristics of molecular subtypes related to protein glycosylation in Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
- Identification of pyroptosis-related subtypes and establishment of prognostic model and immune characteristics in asthma.Frontiers in immunology · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC), as an epidemic cancer worldwide, has more than 1 million new cases and an estimated 769,000 deaths worldwide in 2020, ranking fifth and fourth in global morbidity and mortality. In mammals, both miRNAs and transcription factors (TFs) play a partial role in gene expression regulation. The mRNA expression profile and miRNA expression profile of GEO database were screened by GEO2R for differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs). Then, DAVID annotated the functions of DEGs to understand the functions played in biological processes. The prediction of potential target genes of miRNA and key TFs of mRNA was performed by mipathDB V2.0 and CHEA3, respectively, and the gene list comparison was performed to look for overlapping genes coregulated by key TFs and DEMs. Finally, the obtained miRNAs, TF, and overlapping genes were used to construct the miRNA-mRNA-TF regulatory network, which was verified by RT-qPCR. 76 upregulated DEGs, 199 downregulated DEGs, and 3 upregulated miRNAs (miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p) were identified from the expression profiles of mRNA (GSE26899, GSE29998, GSE51575, and GSE13911) and miRNA (GSE93415), respectively. Through database prediction and gene list comparison, it was found that among the 199 downregulated DEGs, 61, 71, and 69 genes were the potential targets of miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p, respectively. 199 downregulated DEGs were used as the gene list for the prediction of key TFs, and the results showed that RFX6 ranked the highest. The potential target overlap genes of miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p were 4 genes (SH3GL2, ATP4B, CTSE, and SORBS2), 7 genes (SLC7A8, RNASE4, ESRRG, PGC, MUC6, Fam3B, and FMO5), and 6 genes (CHGA, PDK4, TMPRSS2, CLIC6, GPX3, and PSCA), respectively. Finally, we constructed a miRNA-mRNA-TF regulatory network based on the above 17 mRNAs, 3 miRNAs, and 1 TF and verified by RT-qPCR and western blot results that the expression of RFX6 was downregulated in GC tissues. These identified miRNAs, mRNAs, and TF have a certain reference value for further exploration of the regulatory mechanism of GC.
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