Evidence map›Paper›PMID 42118406›Full record

ArticleDiscover oncology2026

Correlating obstructive sleep apnea and lung adenocarcinoma using hub gene signatures and molecular mechanisms.

Li Zhang, Lei Yang, Gang Chen, Xuemei Yang, Dongchang Wang

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Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Li Zhang *Department of Geriatrics, Hebei Medical University Third Hospital, Shijiazhuang, China.
Lei Yang *Department of Epidemiology and Statistics, School of Public Health, Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang, China.
Gang ChenDepartment of Respiratory and Critical Care Medicine, Hebei Medical University Third Hospital, Shijiazhuang, China.
Xuemei YangDepartment of Respiratory and Critical Care Medicine, Beijing Chest Hospital, Capital Medical University&Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Dongchang WangDepartment of Respiratory and Critical Care Medicine, Beijing Chest Hospital, Capital Medical University&Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China. wangdongchang@bjxkyy.cn.

Funding

Hebei Natural Science Foundation of China H2020206255Hebei Natural Science Foundation of China H2020206513Hebei Natural Science Foundation of China H2021206016Hebei Province High level Talent Funding Project B20231009Hebei Province High level Talent Funding Project C20231139National Natural Science Foundation of China 82370087the Central Guidance on Local Science and Technology Development Fund of HeBei Province 226Z7705G
6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) affects nearly 1 billion adults worldwide, and it is relatively common in patients with lung adenocarcinoma (LUAD). This study aimed to identify potential shared transcriptomic signatures and explore pathways linking OSA and LUAD.

methodsTranscriptomic data were obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were used to identify hub genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to investigate the functional pathways associated with differentially expressed genes (DEGs). Univariate Cox regression and least absolute shrinkage and selection operator (LASSO)-Cox regression analyses were conducted to identify prognostic genes and construct a prognostic signature for LUAD.

resultsA total of 986 shared DEGs were identified between OSA and LUAD. Among them, 117 hub genes were selected based on the PPI network. A 12-gene signature was constructed and validated in an independent LUAD cohort. The risk score stratified LUAD patients into distinct risk groups and showed associations with estimated immune infiltration patterns. In addition, intermittent hypoxia exposure was associated with expression changes in a subset of signature genes in A549 cells.

conclusionsThis study identified shared transcriptomic features and highlighted immune-related pathways that may represent potential biological associations between OSA and LUAD.

Indexed as

Hub Gene signaturesImmune infiltrationIntegrated bioinformaticsLung adenocarcinomaObstructive sleep apneaPrognosis

Identifiers

PMID42118406
PMCPMC13338089

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.