A survival prediction model and nomogram based on immune-related gene expression in chronic lymphocytic leukemia cells.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36600891", "kind": "science-record", "revision": 2, "content_hash": "sha256:d16b6ba7efdead79086d00b2be13739d84840ac1f83cafdf6bcf9a9dddcebef9", "created_at": "2026-11-01T19:01:08Z", "updated_at": "2026-11-01T21:29:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A survival prediction model and nomogram based on immune-related gene expression in chronic lymphocytic leukemia cells.", "doi": "10.3389/fmed.2022.1026812", "pmid": "36600891", "authors": ["Han-Ying Huang", "Yun Wang", "Tobias Herold", "Robert Peter Gale", "Jing-Zi Wang", "Liang Li", "Huan-Xin Lin", "Yang Liang"], "journal": "Frontiers in medicine", "year": 2022, "abstract": "Introduction: There are many different chronic lymphoblastic leukemia (CLL) survival prediction models and scores. But none provide information on expression of immune-related genes in the CLL cells.\nMethods: We interrogated data from the Gene Expression Omnibus database (GEO, GSE22762; Number = 151; training) and International Cancer Genome Consortium database (ICGC, CLLE-ES; Number = 491; validation) to develop an immune risk score (IRS) using Least absolute shrinkage and selection operator (LASSO) Cox regression analyses based on expression of immune-related genes in CLL cells. The accuracy of the predicted nomogram we developed using the IRS, Binet stage, and del(17p) cytogenetic data was subsequently assessed using calibration curves.\nResults: A survival model based on expression of 5 immune-related genes was constructed. Areas under the curve (AUC) for 1-year survivals were 0.90 (95% confidence interval, 0.78, 0.99) and 0.75 (0.54, 0.87) in the training and validation datasets, respectively. 5-year survivals of low- and high-risk subjects were 89% (83, 95%) vs. 6% (0, 17%; p < 0.001) and 98% (95, 100%) vs. 92% (88, 96%; p < 0.001) in two datasets. The IRS was an independent survival predictor of both datasets. A calibration curve showed good performance of the nomogram. In vitro, the high expression of CDKN2A and SREBF2 in the bone marrow of patients with CLL was verified by immunohistochemistry analysis (IHC), which were associated with poor prognosis and may play an important role in the complex bone marrow immune environment.\nConclusion: The IRS is an accurate independent survival predictor with a high C-statistic. A combined nomogram had good survival prediction accuracy in calibration curves. These data demonstrate the potential impact of immune related genes on survival in CLL.", "claims": [{"id": "claim-method", "statement": "We used Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analyses to identify the best weighting coefficient of immune-related genes for survival.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36600891", "locator": "sections[4] \"Construction and validation of the IRS\" paragraph 2", "quote": "We used Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analyses to identify the best weighting coefficient of immune-related genes for survival."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36600891", "locator": "sections[15] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s."}], "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:36600891"], "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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