Co-expression prognostic-related genes signature base on propofol and sevoflurane anesthesia predict prognosis and immunotherapy response in glioblastoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36856519", "kind": "science-record", "revision": 2, "content_hash": "sha256:01c0a19605b38e95c2d720bbafef485258b1d278142c2eead3edc113bb282827", "created_at": "2026-11-01T19:01:29Z", "updated_at": "2026-11-01T21:30:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Co-expression prognostic-related genes signature base on propofol and sevoflurane anesthesia predict prognosis and immunotherapy response in glioblastoma.", "doi": "10.1080/07853890.2023.2171109", "pmid": "36856519", "authors": ["Zhiqi Hou", "Dexing Luo", "Huanhuan Luo", "Qiang Hui", "Yongqing Xu", "Xiaofeng Lin", "Zhibin Xu"], "journal": "Annals of medicine", "year": 2023, "abstract": "OBJECTIVES: Anesthetic drugs had been reported may impact the bio-behavior of the tumor. Propofol and sevoflurane are common anesthetics in the operation for glioblastoma (GBM). This study aims to establish a co-expression prognostic-related genes signature base on propofol and sevoflurane anesthesia to predict prognosis and immunotherapy response in GBM.\nMETHOD: GPM tissues with different anesthetics gene expression profiles (GSE179004) were obtained from the Gene Expression Omnibus (GEO) database. Core modules and central genes associated with propofol and sevoflurane anesthesia were identified by weighted gene coexpression network analysis (WGCNA) and establish a risk score prognostic model. Immune cell signature analysis in TCGA datasets was predicted via CIBERSORT. At last, serum methylation level of O6-methylguanine-DNA methyltransferase (MGMT) promoter was detected in GPM patient in different time during perioperative period.\nRESULTS: The burlywood1 group screened was significantly associated with sevoflurane-treated GBM tissue. 22 independent prognostic differential genes were construct a prognostic-related genes risk score in GBM, and showed good predictive ability. The risk score was strongly correlated with the age of the patients, but not with the sex of the patients. In addition, the differential responses to immunotherapy in high and low risk groups were analyzed, indicating that sevoflurane signature genes were consistent in the classification of gliomas. High-risk patients have high T-cell damage score and are less sensitive to immunotherapy. At last, serum methylation level of MGMT promoter was decreased in GBM patients during propofol and sevoflurane anesthesia.\nCONCLUSIONS: Propofol and sevoflurane anesthesia associated impact on the gene expression of GBM, included the methylation level of MGMT promoter. Propofol and sevoflurane anesthesia-based risk score prognostic model, which has good prognostic power and is an independent prognostic factor in GBM patients. Therefore, this model can be used as a new biomarker for judging the prognosis of GBM patients.KEY MESSAGESPropofol and sevoflurane anesthesia-based risk score prognostic model has good prognostic power and is an independent prognostic factor in GBM patients.High Propofol and sevoflurane anesthesia-based risk score GBM patients have high T-cell damage scores and are less sensitive to immunotherapy.Serum methylation level of MGMT promoter decrease during propofol and sevoflurane anesthesia in GBM patients.", "claims": [{"id": "claim-method", "statement": "Gene expression data were then analyzed using weighted gene co-expression network (WGCNA) [23].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36856519", "locator": "sections[3] \"Data collection and processing\" paragraph 2", "quote": "Gene expression data were then analyzed using weighted gene co-expression network (WGCNA) [23]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All analyzed data are included in this published article. The original data are available upon reasonable request to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36856519", "locator": "sections[25] \"Data availability statement\" paragraph 2", "quote": "All analyzed data are included in this published article. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE179004"], "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:GSE179004"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36856519", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1080/07853890.2023.2171109", "sha256": "sha256:e05374c7519bb6fb063dfc298a1ec503b627ee1f1922e8dabc2560908c6e336d", "bytes": 39573, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1080/07853890.2023.2171109", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9979995", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE179004", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE179004", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE179004", "version": null, "note": "All analyzed data are included in this published article. 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