ArticleBioMed research international2020
Bioinformatics Analysis of Key Genes and circRNA-miRNA-mRNA Regulatory Network in Gastric Cancer.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 35 citations in OpenAlex.
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- IL-6, IL-8, and IL-17A as predictive biomarkers for treatment response to PD-1 blockade immunochemotherapy in advanced gastric cancer.Archives of medical science : AMS · 2026Article
- miR-1343-3p regulating OGDHL/PDHB-pyruvate glucose metabolic reprogramming against gastric cancer cell proliferation.Discover oncology · 2025Article
- Identification of a Novel miR-122-5p/CDC25A Axis and Potential Therapeutic Targets for Chronic Myeloid Leukemia.International journal of molecular sciences · 2025Article
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- Identification of differentially expressed mRNAs as novel predictive biomarkers for gastric cancer diagnosis and prognosis.World journal of gastrointestinal oncology · 2024Article
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- Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.BMC medical genomics · 2023Article
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- Circ_0000419 acts as a tumor suppressor in gastric cancer development via regulating miR-300/RGMB axis.International journal of clinical oncology · 2023Article
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- The Effects of circ_000558/miR-1225-5p/ARL4C on Regulating the Proliferation of Renal Cell Carcinoma Cells.Journal of oncology · 2023Article
- SPARC: a potential target for functional nanomaterials and drugs.Frontiers in molecular biosciences · 2023Review
- Role of non-coding RNA in immune microenvironment and anticancer therapy of gastric cancer.Journal of molecular medicine (Berlin, Germany) · 2022Review
- Diagnostic efficacy of circular RNAs as noninvasive, liquid biopsy biomarkers for early detection of gastric cancer.Molecular cancer · 2022Article
- Potential Value of Circular RNA circTBC1D4 in Gastrointestinal Stromal Tumors.Journal of immunology research · 2022Article
- Identification of circRNA-miRNA-Immune-Related mRNA Regulatory Network in Gastric Cancer.Frontiers in oncology · 2022Article
- Circ_0000620 acts as an oncogenic factor in gastric cancer through regulating MMP2 expression via sponging miR-671-5p.Journal of biological research (Thessalonike, Greece) · 2021Article
- Identification and Validation of Biglycan as Prognosis and Therapy Markers for Patients with Stomach Adenocarcinoma.International journal of general medicine · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC) is one of the most common malignancies in the world, with morbidity and mortality ranking second among all cancers. Accumulating evidences indicate that circular RNAs (circRNAs) are closely correlated with tumorigenesis. However, the mechanisms of circRNAs still remain unclear. This study is aimed at determining hub genes and circRNAs and analyzing their potential biological functions in GC. Expression profiles of mRNAs and circRNAs were downloaded from the Gene Expression Omnibus (GEO) data sets of GC and paracancer tissues. Differentially expressed genes (DEGs) and differentially expressed circRNAs (DE-circRNAs) were identified. The target miRNAs of DE-circRNAs and the bidirectional interaction between target miRNAs and DEGs were predicted. Functional analysis was performed, and the protein-protein interaction (PPI) network and the circRNA-miRNA-mRNA network were established. A total of 456 DEGs and 2 DE-circRNAs were identified with 3 mRNA expression profiles and 2 circRNA expression profiles. GO analysis indicated that DEGs were mainly enriched in extracellular matrix and cell adhesion, and KEGG confirmed that DEGs were mainly associated with focal adhesion, the PI3K-Akt signaling pathway, extracellular matrix- (ECM)- receptor interaction, and gastric acid secretion. 15 hub DEGs (BGN, COL1A1, COL1A2, FBN1, FN1, SPARC, SPP1, TIMP1, UBE2C, CCNB1, CD44, CXCL8, COL3A1, COL5A2, and THBS1) were identified from the PPI network. Furthermore, the survival analysis indicate that GC patients with a high expression of the following 9 hub DEGs, namely, BGN, COL1A1, COL1A2, FBN1, FN1, SPARC, SPP1, TIMP1, and UBE2C, had significantly worse overall survival. The circRNA-miRNA-mRNA network was constructed based on 1 circRNA, 15 miRNAs, and 45 DEGs. In addition, the 45 DEGs included 5 hub DEGs. These results suggested that hub DEGs and circRNAs could be implicated in the pathogenesis and development of GC. Our findings provide novel evidence on the circRNA-miRNA-mRNA network and lay the foundation for future research of circRNAs in GC.
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