Key Common Genes in Obstructive Sleep Apnea and Lung Cancer are Associated with Prognosis of Lung Cancer Patients.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34526807", "kind": "science-record", "revision": 8, "content_hash": "sha256:b17243a34a496503f5f2b0964e81d0d6e4862076ba75f40b75a72d3ee3500e67", "created_at": "2026-11-01T15:41:52Z", "updated_at": "2026-11-01T22:04:43Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Key Common Genes in Obstructive Sleep Apnea and Lung Cancer are Associated with Prognosis of Lung Cancer Patients.", "doi": "10.2147/IJGM.S330681", "pmid": "34526807", "authors": ["Wenjun Wang", "Lirong He", "Chao Ouyang", "Chong Chen", "Xiaofeng Xu", "Xiaoqun Ye"], "journal": "International journal of general medicine", "year": 2021, "abstract": "BACKGROUND: Obstructive sleep apnea (OSA) is associated with an increased risk of lung cancer. This study aimed to identify key common genes in OSA and lung cancer and explore their prognostic value in lung cancer.\nMATERIALS AND METHODS: Transcriptome data of OSA and lung cancer were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database, respectively. Genes associated with OSA and lung cancer were screened by weighted gene co-expression network analysis (WGCNA). Univariate and multivariate Cox regression algorithms were applied to identify key genes and construct the risk score model. Receiver operating characteristic (ROC) curves and a nomogram were performed to evaluate the prognostic value of the risk score. The screened key genes and their roles in prognosis were validated by GEO (GSE30219) analysis.\nRESULTS: A total of 104 common genes were screened in OSA and lung cancer by WGCNA. Modulator of apoptosis 1 (MOAP1), chromobox 7 (CBX7), platelet-derived growth factor subunit B (PDGFB), and mitogen-activated protein kinase 3 (MAP2K3) were identified as key genes by univariate and then multivariate Cox regression analyses. The risk score model was constructed on the basis of four gene signatures. ROC curves and the nomogram showed that the risk score had a high accuracy in predicting the survival of patients with lung cancer. In addition, the result of multivariate Cox regression analysis indicated that the risk score was an independent prognostic factor in lung cancer.\nCONCLUSION: This study constructed a unique model for predicting the prognosis of lung cancer patients on the basis of four genes common to OSA and lung cancer. These genes may also serve as candidate genes to improve our knowledge about the underlying mechanism of OSA that leads to an increased risk of lung cancer at the genetic level.", "claims": [{"id": "claim-method", "statement": "Genes associated with OSA and lung cancer were screened by weighted gene co-expression network analysis (WGCNA).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34526807", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Genes associated with OSA and lung cancer were screened by weighted gene co-expression network analysis (WGCNA)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "RNA sequencing (RNA-seq) data of 34 OSA and eight control samples were downloaded from the GSE135917 dataset.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34526807", "locator": "sections[3] \"Data Source\" paragraph 2", "quote": "RNA sequencing (RNA-seq) data of 34 OSA and eight control samples were downloaded from the GSE135917 dataset."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "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:34526807"], "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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