Bioinformatics analysis of potential core genes for glioblastoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32667033", "kind": "science-record", "revision": 8, "content_hash": "sha256:0a0dd53849b9c13f6b68294998e10c050b0b3f0658f2f0ce21a1d179962ad7c4", "created_at": "2026-11-01T15:41:06Z", "updated_at": "2026-11-01T22:01:55Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics analysis of potential core genes for glioblastoma.", "doi": "10.1042/BSR20201625", "pmid": "32667033", "authors": ["Yu Zhang", "Xin Yang", "Xiao-Lin Zhu", "Jia-Qi Hao", "Hao Bai", "You-Chao Xiao", "Zhuang-Zhuang Wang", "Chun-Yan Hao", "Hu-Bin Duan"], "journal": "Bioscience reports", "year": 2020, "abstract": "BACKGROUND: Glioblastoma (GBM) has a high degree of malignancy, aggressiveness and recurrence rate. However, there are limited options available for the treatment of GBM, and they often result in poor prognosis and unsatisfactory outcomes.\nMATERIALS AND METHODS: In order to identify potential core genes in GBM that may provide new therapeutic insights, we analyzed three gene chips (GSE2223, GSE4290 and GSE50161) screened from the GEO database. Differentially expressed genes (DEG) from the tissues of GBM and normal brain were screened using GEO2R. To determine the functional annotation and pathway of DEG, Gene Ontology (GO) and KEGG pathway enrichment analysis were conducted using DAVID database. Protein interactions of DEG were visualized using PPI network on Cytoscape software. Next, 10 Hub nodes were screened from the differentially expressed network using MCC algorithm on CytoHubba software and subsequently identified as Hub genes. Finally, the relationship between Hub genes and the prognosis of GBM patients was described using GEPIA2 survival analysis web tool.\nRESULTS: A total of 37 up-regulated and 187 down-regulated genes were identified through microarray analysis. Amongst the 10 Hub genes selected, SV2B appeared to be the only gene associated with poor prognosis in glioblastoma based on the survival analysis.\nCONCLUSION: Our study suggests that high expression of SV2B is associated with poor prognosis in GBM patients. Whether SV2B can be used as a new therapeutic target for GBM requires further validation.", "claims": [{"id": "claim-method", "statement": "The calculation of hazard ratios was based on Cox PH (Proportional Hazards) Model, with 95% CI added as dashed lines and axis units as months.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32667033", "locator": "sections[7] \"Survival analysis of hub genes\" paragraph 2", "quote": "The calculation of hazard ratios was based on Cox PH (Proportional Hazards) Model, with 95% CI added as dashed lines and axis units as months."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Three gene data chips, namely GSE2223, GSE4290 and GSE50161 containing information from the tissues of both GBM and normal brain were selected.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32667033", "locator": "sections[3] \"Data filtering\" paragraph 2", "quote": "Three gene data chips, namely GSE2223, GSE4290 and GSE50161 containing information from the tissues of both GBM and normal brain were selected."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:32667033"], "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. 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