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辐射相关肺功能基因在肺腺癌预后及免疫浸润中的作用

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

作者信息

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

机构信息

Department of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, China.

出版信息

Comb Chem High Throughput Screen. 2025;28(3):487-499. doi: 10.2174/0113862073275640231228124547.

DOI:10.2174/0113862073275640231228124547
PMID:38584564
Abstract

BACKGROUND

Lung 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.

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.

摘要

背景

肺腺癌(LUAD)是一种常见的恶性肿瘤,早期无明显临床症状。由于病情不同,患者可分为放疗敏感组(RS)和放疗抵抗组(RR)。两组放疗的治疗效果差异很大。因此,本文探讨辐射相关肺功能基因在LUAD及其免疫格局中的作用。

方法

首先,我们将来自TCGA队列的LUAD样本分为RS组和RR组,并分析差异表达以获得差异表达基因(DEG)。然后,将DEG和患者分组信息输入加权共表达网络,识别放疗相关模块中的基因。此外,在DEG与肺功能相关基因进行交集后,分别通过单变量Cox分析和Lasso-Cox分析获得预后相关基因,并构建风险模型。最后,探讨风险模型中样本的预后和免疫差异。此外,我们还对肺功能相关基因进行了qPCR实验。

结果

本文通过一系列生物信息学分析鉴定了LUAD的辐射相关基因。通过对这些基因进行富集分析,确定了几个与LUAD辐射相关的途径,并确定了与显著预后相关的DEG。此外,还建立了LUAD的辐射相关风险模型。根据风险评分将所有样本分为高风险组和低风险组,并评估这些组之间免疫细胞浸润丰度和免疫功能的差异。qPCR实验结果表明肺功能相关基因的表达存在显著差异。

结论

本文鉴定的预后相关基因和创建的风险模型可为LUAD的诊断和治疗提供参考。

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本文引用的文献

1
Identification of lysosomal genes associated with prognosis in lung adenocarcinoma.鉴定与肺腺癌预后相关的溶酶体基因。
Transl Lung Cancer Res. 2023 Jul 31;12(7):1477-1495. doi: 10.21037/tlcr-23-14. Epub 2023 Jul 18.
2
Cuproptosis and Immune-Related Gene Signature Predicts Immunotherapy Response and Prognosis in Lung Adenocarcinoma.铜死亡与免疫相关基因特征预测肺腺癌的免疫治疗反应和预后
Life (Basel). 2023 Jul 19;13(7):1583. doi: 10.3390/life13071583.
3
SLC7A5 is a lung adenocarcinoma-specific prognostic biomarker and participates in forming immunosuppressive tumor microenvironment.
溶质载体家族7成员5(SLC7A5)是一种肺腺癌特异性预后生物标志物,并参与形成免疫抑制性肿瘤微环境。
Heliyon. 2022 Oct 2;8(10):e10866. doi: 10.1016/j.heliyon.2022.e10866. eCollection 2022 Oct.
4
Identification of molecular subtypes in lung adenocarcinoma based on DNA methylation and gene expression profiling-a bioinformatic analysis.基于DNA甲基化和基因表达谱分析的肺腺癌分子亚型鉴定——一项生物信息学分析
Ann Transl Med. 2022 Aug;10(16):882. doi: 10.21037/atm-22-3340.
5
Nitrogen Metabolism Disorder Accelerates Occurrence and Development of Lung Adenocarcinoma: A Bioinformatic Analysis and Experiments.氮代谢紊乱加速肺腺癌的发生发展:一项生物信息学分析与实验
Front Oncol. 2022 Jul 12;12:916777. doi: 10.3389/fonc.2022.916777. eCollection 2022.
6
Establishing an 8-gene immune prognostic model based on TP53 status for lung adenocarcinoma.基于 TP53 状态建立肺腺癌的 8 基因免疫预后模型。
J Clin Lab Anal. 2022 Jul;36(7):e24538. doi: 10.1002/jcla.24538. Epub 2022 Jun 11.
7
Integrative Analysis Constructs an Extracellular Matrix-Associated Gene Signature for the Prediction of Survival and Tumor Immunity in Lung Adenocarcinoma.整合分析构建细胞外基质相关基因特征用于预测肺腺癌的生存和肿瘤免疫
Front Cell Dev Biol. 2022 Apr 26;10:835043. doi: 10.3389/fcell.2022.835043. eCollection 2022.
8
MYC/MAX-Activated LINC00958 Promotes Lung Adenocarcinoma by Oncogenic Transcriptional Reprogramming Through HOXA1 Activation.MYC/MAX激活的LINC00958通过激活HOXA1进行致癌转录重编程促进肺腺癌。
Front Oncol. 2022 Feb 9;12:807507. doi: 10.3389/fonc.2022.807507. eCollection 2022.
9
Lung Adenocarcinoma Cells Promote Self-Migration and Self-Invasion by Activating Neutrophils to Upregulate Notch3 Expression of Cancer Cells.肺腺癌细胞通过激活中性粒细胞上调癌细胞Notch3表达促进自身迁移和侵袭。
Front Mol Biosci. 2022 Jan 18;8:762729. doi: 10.3389/fmolb.2021.762729. eCollection 2021.
10
Loss of RPS27a expression regulates the cell cycle, apoptosis, and proliferation via the RPL11-MDM2-p53 pathway in lung adenocarcinoma cells.RPS27a 表达缺失通过 RPL11-MDM2-p53 通路调控肺腺癌细胞周期、凋亡和增殖。
J Exp Clin Cancer Res. 2022 Jan 24;41(1):33. doi: 10.1186/s13046-021-02230-z.