Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36268277", "kind": "science-record", "revision": 5, "content_hash": "sha256:7ab0d7305916c7afa224272ca15b1fc5535947c2d44fd4d75134996e23d7176d", "created_at": "2026-11-01T18:15:40Z", "updated_at": "2026-11-01T22:50:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrin α6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation.", "doi": "10.1155/2022/6891655", "pmid": "36268277", "authors": ["Yanfei Jia", "Wentao Wu", "Youchao Xiao", "Kefan Cai", "Songbai Gui", "Qiang Li", "Tian Li"], "journal": "Journal of oncology", "year": 2022, "abstract": "Background: Craniopharyngioma (CP) is a benign slow-growing tumor. It tends to affect children, and the number of patients is on rise. Considering the high morbidity and mortality of CP, it is urgent and pivotal to identify new biomarkers to uncover the etiology and pathogenesis of CP.\nMethods: The \"limma\" package was utilized to calculate the data from the Gene Expression Omnibus (GEO) database. Based on differentially expressed genes (DEGs), gene ontology and pathway analysis were deduced from the DAVID web tool. Further, we constructed a protein-protein interaction (PPI) network. Weighted correlation network analysis (WGCNA) was utilized to build a coexpression network. Finally, Western blotting and survival analysis were performed to examine the expression level of important metabolism-related genes.\nResults: Three hundred and eighty-four DEGs were identified between normal tissues and CPs from the GSE94349 and GSE26966 datasets. The Venn diagram for DEGs and hub genes in the 'turquoise' module revealed four key genes. Finally, the outcome of the survival analysis suggested that Integrin α6 (ITGA6) significantly affected the overall survival time of the patients with CP.\nConclusion: IGTA6, as a metabolism-related molecule, was found to be substantially related to the overall survival of patients with CP.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier curve and Cox's proportional hazards regression model were performed to analyze the overall survival, and the differences were analyzed for significance using the log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36268277", "locator": "sections[11] \"2.9. Survival Analysis\" paragraph 2", "quote": "Kaplan-Meier curve and Cox's proportional hazards regression model were performed to analyze the overall survival, and the differences were analyzed for significance using the log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the current study are available from corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36268277", "locator": "sections[27] \"Data Availability\" paragraph 2", "quote": "The datasets used and/or analyzed during the current study are available from corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "High ITGA6 expression was significantly associated with shorter overall survival in patients with craniopharyngioma.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36268277", "locator": "sections[19] \"3.7. Western Blotting and the Survival Curve Analyses\" paragraph 4", "quote": "The results of the survival analysis indicated that the overall survival time of CP pantients could have significant differences between the high ITGA6 expression group and low ITGA6 expression group (Figure 6(d))."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "High ITGA6 expression was significantly associated with shorter overall survival in patients with craniopharyngioma.", "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:36268277"], "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:GSE26966"], "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:GSE26966"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36268277", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2022/6891655", "sha256": 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