The disulfidptosis-related signature predicts prognosis and immune features in glioma patients.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37864127", "kind": "science-record", "revision": 2, "content_hash": "sha256:c1fb0fbb0fd58be058f243104e6e309b1d26a64e78d28ac849ea847a9764b68e", "created_at": "2026-11-01T19:02:43Z", "updated_at": "2026-11-01T21:31:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The disulfidptosis-related signature predicts prognosis and immune features in glioma patients.", "doi": "10.1038/s41598-023-45295-w", "pmid": "37864127", "authors": ["Xiong Wang", "Jijun Yang", "Fengjie Yang", "Ketao Mu"], "journal": "Scientific reports", "year": 2023, "abstract": "Glioma is the most common primary malignant tumor in the central nervous system. Disulfidptosis is a recently identified programmed cell death in tumor cells overexpressing SLC7A11 under glucose starvation. Clinical prognostic significance of disulfidptosis has been reported in several tumors, and in this study, we explored the correlation of disulfidptosis with clinical prognosis, immune cell infiltration, and immunotherapy response in glioma. A total of 1592 glioma patients were included in this study, including 691 glioma patients from The Cancer Genomic Atlas (TCGA), 300 patients with from the Chinese Glioma Genomic Atlas (CGGA) array, 325 patients from CGGA sequencing, and 276 patients from Gene Expression Omnibus (GEO) GSE16011. R software (V4.2.2) and several R packages were applied to develop the risk score model and correlation calculation and visualization. Three disulfidptosis-related genes, LRPPRC, RPN1, and GYS1, were screened out and applied to establish the risk score model. Low-risk patients exhibit favorable prognosis, and the disulfidptosis-related signature significantly correlated with clinicopathological properties, molecular subtypes, and immunosuppressive microenvironment of glioma patients. We developed a disulfidptosis-related risk model to predict the prognosis and immune features in glioma patients, and this risk model may be applied as an independent prognostic factor for glioma.", "claims": [{"id": "claim-method", "statement": "The AIC method of Cox Proportional Hazards Model was used to construct the risk model (Fig. 1B, Table 1).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37864127", "locator": "sections[12] \"Construction of risk model using three disulfidptosis-related genes\" paragraph 2", "quote": "The AIC method of Cox Proportional Hazards Model was used to construct the risk model (Fig. 1B, Table 1)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used during this study can be downloaded from public databases including TCGA, CGGA, and GEO: TCGA-LGG: https://portal.gdc.cancer.gov/projects/TCGA-LGG, TCGA-GBM: https://portal.gdc.cancer.gov/projects/TCGA-GBM. 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