Identification of potential microRNAs in glioblastoma using bioinformatic analysis and prognostic evaluation.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35117343", "kind": "science-record", "revision": 4, "content_hash": "sha256:8880126bc00bb30b494536578e787a89b6f6597116216d211eebc588c6b5bca4", "created_at": "2026-11-01T17:36:51Z", "updated_at": "2026-11-01T22:05:46Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of potential microRNAs in glioblastoma using bioinformatic analysis and prognostic evaluation.", "doi": "10.21037/tcr-20-2487", "pmid": "35117343", "authors": ["Zhenwei Sun", "Yongquan Zhao", "Xuan Ding", "Deguang Xing", "Chengwei Wang", "Xiaofei Wang"], "journal": "Translational cancer research", "year": 2020, "abstract": "BACKGROUND: Glioblastoma (GB) is the most common and aggressive brain and central nervous system malignancy. MicroRNAs (miRNAs) have been demonstrated to be predictors of prognostic outcomes, playing an important role in the pathogenesis and progression of GB. We aim to identify the potential miRNAs in GB.\nMETHODS: GSE103228 was downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed miRNAs (DE-miRNAs) using the Student's t-test. Potential target genes for DE-miRNAs were predicted using miRTarBase, and their functions were analyzed using Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The protein-protein interaction (PPI) network was constructed using the STRING database and visualized using Cytoscape to identify a hub target gene-miRNA network. Furthermore, the expression of GB target genes was verified using University of Alabama Cancer (UALCAN) database.\nRESULTS: A total of 49 DE-miRNAs were identified in GB including 30 down-regulated miRNAs and 19 up-regulated miRNAs. Our analysis predicted 1,118 and 1,063 potential target genes from the top three most up-regulated and down-regulated DE-miRNAs, respectively, that were enriched in several GB-related pathways including the cancer pathway. ACTB and MYC were considered to be hub genes in our PPI networks.\nCONCLUSIONS: MiR-218-5p and miR-148a-3p regulated most of the hub genes and miR-148a-3p appeared to be a prognostic biomarker.", "claims": [{"id": "claim-method", "statement": "MiR-218-5p and miR-148a-3p were loaded into the Oncolnc system to generate Kaplan-Meier survival plots using the log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35117343", "locator": "sections[9] \"Survival analysis using the Oncolnc database\" paragraph 2", "quote": "MiR-218-5p and miR-148a-3p were loaded into the Oncolnc system to generate Kaplan-Meier survival plots using the log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The microarray dataset GSE103228 was downloaded from the National Center for Biotechnology Information GEO database (http://www.ncbi.nlm.nih.gov/geo).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35117343", "locator": "sections[3] \"MiRNA microarray\" paragraph 2", "quote": "The microarray dataset GSE103228 was downloaded from the National Center for Biotechnology Information GEO database (http://www.ncbi.nlm.nih.gov/geo)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "MiR-218-5p and miR-148a-3p regulated most of the hub genes, and miR-148a-3p appeared to be a prognostic biomarker.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35117343", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "MiR-218-5p and miR-148a-3p regulated most of the hub genes and miR-148a-3p appeared to be a prognostic biomarker."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "MiR-218-5p and miR-148a-3p regulated most of the hub genes, and miR-148a-3p appeared to be a prognostic biomarker.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35117343"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE103228"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE103228"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35117343", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.21037/tcr-20-2487", "sha256": "sha256:92ef57f1377048b5b2f8be8c93ad069348df78d12b3d7946a60f29b47fc84a07", "bytes": 22327, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.21037/tcr-20-2487", "version": null, "note": "Full article fetched from PMC; 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