{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T16:15:12Z","timestamp":1790957712959,"version":"4.1.0"},"reference-count":38,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2020,2,13]],"date-time":"2020-02-13T00:00:00Z","timestamp":1581552000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Cellular Biochemistry"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The connection between circular RNAs (circRNAs) and gastric cancer has been reported widely in recent years. However, previous studies have focused mainly on circRNAs from gastric cancer tissue. The objectives of the present study were to detect dysregulated circRNAs from both tissue and plasma of patients with gastric cancer and to explore their potential roles in the pathogenesis of gastric cancer. Expression profiles of circRNAs were obtained from the Gene Expression Omnibus (GEO) and analyzed using the GEO2R tool to identify differential expressed circRNAs. The significance threshold was set as |log2 (fold change)|\u2009&gt;\u20092 and adjusted <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.05. The microRNA (miRNA) binding sites of the differentially expressed circRNAs were predicted using the Circular RNA Interactome web tool. TargetScan and the miRNet database were used to predict the miRNA target genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed using Database for Annotation Visualization and Integrated Discovery. Hub genes were identified and a network was constructed with Cytoscape. The overall survival rates for the selected miRNAs and messenger RNAs were evaluated by Kaplan\u2010Meier Plotter. A total of three downregulated circRNAs (hsa_circ_0001190, hsa_circ_0036287, and hsa_circ_0048607) were identified in this study. Six miRNAs and eight hub genes met the significance criteria and were selected for further analysis. A circRNA\u2010miRNA\u2010hub gene network was constructed based on three circRNAs, six miRNAs, and eight hub genes. Evaluation of overall survival rates for the hub genes showed that low expression levels of <jats:italic>GADD45A, PPP1CB, PJA2<\/jats:italic>, and <jats:italic>KLF2<\/jats:italic> were associated with poor overall survival. This study identified potential novel plasma circRNA biomarkers and provides insights into the underlying mechanisms of gastric cancer pathogenesis.<\/jats:p>","DOI":"10.1002\/jcb.29673","type":"journal-article","created":{"date-parts":[[2020,2,13]],"date-time":"2020-02-13T09:28:46Z","timestamp":1581586126000},"page":"4590-4600","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Identification of downregulated circRNAs from tissue and plasma of patients with gastric cancer and construction of a circRNA\u2010miRNA\u2010mRNA network"],"prefix":"10.1002","volume":"121","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8358-1829","authenticated-orcid":false,"given":"Jingfu","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Blood Transfusion Fujian Cancer Hospital and Fujian Medical University Cancer Hospital  Fuzhou Fujian 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