ArticleFrontiers in oncology2025
A prognostic model of lung adenocarcinoma constructed based on circadian rhythm genes and its potential clinical significance.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Integrative bioinformatics identifies NSCLC biomarkers associated with LPS metabolism and circadian disruption.Translational oncology · 2026Article
- Integrative single-cell and machine learning analysis predicts lactylation-driven therapy resistance in prostate cancer: a molecular docking and experiments-validated framework for treatment optimization.Frontiers in immunology · 2025Article
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5 authors.
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Abstract
Background: Lung adenocarcinoma (LUAD) is a common pathological category of lung cancer. Circadian rhythm (CR) disruption has been demonstrated to impact on lung tumorigenesis in mouse models. The aim of this study was to mine genes relevant to CR in LUAD and construct a corresponding risk model. Methods: CRRGs from GSEA-MsigDB were filtered by overlapping DEGs in LUAD and NC specimens, two clusters with survival and clinical discrepancies, and CRRGs. Cox regression analysis (univariate and multivariate) was used to establish a CR-relevant risk model, which was validated in both the training and validation sets. Differences in immune infiltration, immunotherapy, and drug sensitivity between subgroups were explored. Prognostic gene expression was tested in clinical cancer and paracancer tissue samples using RT-qPCR. Results: A grand total of two prognostic genes ( Conclusion: In conclusion, a CR-relevant risk model based on
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