ArticleJournal of thoracic disease2022
High-risk early-stage lung adenocarcinoma patients are identified by an immune-related circadian clock gene signature.
Article in Journal of thoracic disease, 2022. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Article
- The Common Hallmarks and Interconnected Pathways of Aging, Circadian Rhythms, and Cancer: Implications for Therapeutic Strategies.Research (Washington, D.C.) · 2025Review
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Twenty-four-hour oscillations of circadian rhythms control comprehensive biological processes in the human body. In lung adenocarcinoma (LUAD), chronic circadian rhythm disruption is positively associated with tumorigenesis. However, few studies focus on circadian clock gene signatures (CGSs) for prognosis evaluation of patients with early-stage LUAD. Methods: In this study, we aimed to construct a robust prognostic circadian rhythm-related biomarker from multiple public databases, including the Gene Expression Omnibus database and The Cancer Genome Atlas database. The least absolute shrinkage and selection operator (LASSO)-penalized Cox regression model was performed to select optimal circadian clock gene pairs. Bioinformatic analyses were performed to estimate the abundance of different immune cells and immunohistochemical analyses were conducted to validate the differential proportion of tumor-infiltrating lymphocytes in different groups. Results: Results demonstrated that the CGS could accurately identify patients with early-stage LUAD at a high risk in the training dataset [hazard ratio (HR) =3.06; 95% confidence interval (CI): 2.47-3.78; P<0.001], testing dataset (HR =2.44; 95% CI: 1.74-3.43; P<0.001), and validation dataset (HR =2.09, 95% CI: 1.09-4.00; P=0.023). Bioinformatic and immunohistochemical analyses demonstrated that the abundance of tumor-infiltrating CD4 Conclusions: In conclusion, the CGS was an independent immune-related circadian biomarker that could identify early-stage LUAD patients with different OS.
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