Evidence map›Paper›PMID 38584564›Full record

ArticleCombinatorial chemistry & high throughput screening2025

Role of Radiation-related Lung Function Genes in Prognosis and Immune Infiltration of Lung Adenocarcinoma.

Fei Teng, Xiaojing Sun, Yuge Ran, Chan Liu, Hongyun Shi, Yuan Tian

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Article in Combinatorial chemistry & high throughput screening, 2025. 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

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6 authors.

Fei TengDepartment of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, China.
Xiaojing SunDepartment of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, China.
Yuge RanDepartment of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, China.
Chan LiuDepartment of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, China.
Hongyun ShiDepartment of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, China.
Yuan TianDepartment of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, China.

Funding

Baoding Science and Technology Research and Development Guidance Program 18ZF266
6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) is a common malignant tumor with no obvious clinical symptoms in its early stages. Patients can be divided into radiotherapysensitive 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.

methodsFirstly, 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.

resultsIn 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.

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

Indexed as

Adenocarcinoma of LungLungLung NeoplasmsComputational BiologyGene Expression Regulation, NeoplasticHumansPrognosisbioinformaticsLung adenocarcinomalung functionqPCR.radiotherapyrisk model

Identifiers

PMID38584564

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