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Volume 28, Issue 3
  • ISSN: 1386-2073
  • E-ISSN: 1875-5402

Abstract

Background

Lung adenocarcinoma (LUAD) is a common malignant tumor with no obvious clinical symptoms in its early stages. Patients can be divided into radiotherapy-sensitive groups (RS) and radiotherapy-resistant groups (RR) due to their varying conditions. The therapeutic effect of radiotherapy is quite different between the two groups. Therefore, this paper explores the role of radiation-related lung function genes in LUAD and its immune landscape.

Methods

Firstly, we divided LUAD samples from the TCGA cohort into RS and RR groups and analyzed differential expression to obtain differentially expressed genes (DEGs). Then, DEGs and patients' grouping information were input into the weighted co-expression network, and the genes in the radiotherapy-related modules were identified. Furthermore, after the intersection of DEGs and lung function-related genes, the prognosis-related genes were obtained through univariate Cox and Lasso-Cox analyses, respectively, and the risk model was constructed. Finally, the differences in prognosis and immunity of the samples in the risk model were explored. Additionally, we also performed a qPCR experiment on lung function-related genes.

Results

In this paper, radiation-related genes of LUAD were identified through a series of bioinformatics analyses. By conducting enrichment analysis on these genes, several pathways related to LUAD radiation were identified, and DEGs associated with significant prognosis were determined. Furthermore, a radiation-related risk model of LUAD was developed. All samples were divided into high-risk and low-risk groups based on the risk score, and the differences in immune cell infiltration abundance and immune function between these groups were evaluated. The qPCR experimental results demonstrated a significant difference in the expression of genes related to lung function.

Conclusion

The prognosis-related genes identified in this paper and the risk model created can serve as a reference for diagnosing and treating LUAD.

© 2025 Bentham Science Publishers
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2024-04-04
2025-04-02

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Role of Radiation-related Lung Function Genes in Prognosis and Immune Infiltration of Lung Adenocarcinoma
Comb Chem High Throughput Screen 28, 487 (2025); https://doi.org/10.2174/0113862073275640231228124547
/content/journals/cchts/10.2174/0113862073275640231228124547
/content/journals/cchts/10.2174/0113862073275640231228124547
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  • Article Type:     Research Article
Keyword(s): bioinformatics; Lung adenocarcinoma; lung function; qPCR; radiotherapy; risk model

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