The cuproptosis-related gene signature serves as a potential prognostic predictor for ovarian cancer using bioinformatics analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36267774", "kind": "science-record", "revision": 4, "content_hash": "sha256:64dc3e18a009fab41a13b5b10c4d2a06ca9476abe80219144facad6587498c1a", "created_at": "2026-11-01T18:15:40Z", "updated_at": "2026-11-01T22:07:54Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The cuproptosis-related gene signature serves as a potential prognostic predictor for ovarian cancer using bioinformatics analysis.", "doi": "10.21037/atm-22-4546", "pmid": "36267774", "authors": ["Xin Sun", "Panling Xu", "Fengli Zhang", "Ting Sun", "Haili Jiang", "Xinyuan Lu", "Mei Zhang", "Ping Li"], "journal": "Annals of translational medicine", "year": 2022, "abstract": "Background: Studies have shown that copper is involved in the tumorigenesis and development of ovarian cancer. In this work, we aimed to build a prognostic classification system associated with cuproptosis to predict ovarian cancer prognosis.\nMethods: Information of ovarian cancer samples were acquired from The Cancer Genome Atlas (TCGA)-ovarian cancer and GSE26193 dataset. Cuproptosis-related genes were screened from previous research. ConsensusClusterPlus was applied to determine molecular subtypes, which were evaluated by tumor immune microenvironment analysis, TIDE algorithm, and functional enrichment analysis. Furthermore, limma analysis and univariate Cox analysis were used to construct a cuproptosis-related prognostic signature for ovarian cancer. Univariate and multivariate Cox regression analyses were used to analyze the independence of clinical factors and model.\nResults: A total of 15 genes related to cuproptosis were identified, and 2 clusters (C1 and C2) were determined. C1 had a better survival outcome, less advanced stage, enhanced immune infiltration, was more sensitive to immunotherapy, and showed enrichment in tricarboxylic acid (TCA)-related pathways. An 8 cuproptosis-associated gene signature was constructed, and the signature was verified in the GSE26193 dataset. A higher risk score of the cuproptosis-related gene signature was significantly correlated with worse overall survival (OS) (P<0.0001), which was validated in GSE26193 dataset successfully. Cox survival analysis showed that risk score was an independent predictor [hazard ratio (HR) =2.66, P<0.001]. Functional enrichment and tumor immune microenvironment analyses showed that high-risk patients tended to have immunologically sensitive tumors.\nConclusions: The cuproptosis-related gene signature may serve as a potential prognostic predictor for ovarian cancer patients and may offer novel treatment strategies for ovarian cancer.", "claims": [{"id": "claim-method", "statement": "Univariate and multivariate Cox regression analyses were used to examine the independent prognostic power of the risk score, and Sangerbox was used for analysis (20).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36267774", "locator": "sections[10] \"Independent prognostic power of the risk score\" paragraph 2", "quote": "Univariate and multivariate Cox regression analyses were used to examine the independent prognostic power of the risk score, and Sangerbox was used for analysis (20)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "RNA-seq data, clinical information, and copy number variation (CNV) data were acquired from The Cancer Genome Atlas (TCGA)-ovarian cancer and GSE26193 dataset.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36267774", "locator": "sections[3] \"Raw data\" paragraph 2", "quote": "RNA-seq data, clinical information, and copy number variation (CNV) data were acquired from The Cancer Genome Atlas (TCGA)-ovarian cancer and GSE26193 dataset."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The eight-gene cuproptosis-related risk score was an independent prognostic predictor of overall survival in ovarian cancer, with a hazard ratio of 2.66 and P<0.001.", "kind": "quantitative", "target": {"value": 0.001, "unit": "p-value", "tolerance": null, "source": "Cox survival analysis showed that risk score was an independent predictor [hazard ratio (HR) =2.66, P<0.001]."}, "evidence": [{"asset": "source:pmid:36267774", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Cox survival analysis showed that risk score was an independent predictor [hazard ratio (HR) =2.66, P<0.001]."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The eight-gene cuproptosis-related risk score was an independent prognostic predictor of overall survival in ovarian cancer, with a hazard ratio of 2.66 and P<0.001.", "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:36267774"], "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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