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肺腺癌与2型糖尿病之间的共享基因组特征:一项生物信息学研究

Shared Genomic Features Between Lung Adenocarcinoma and Type 2 Diabetes: A Bioinformatics Study.

作者信息

Nueraihemaiti Nuerbiye, Dilimulati Dilihuma, Baishan Alhar, Hailati Sendaer, Maihemuti Nulibiya, Aikebaier Alifeiye, Paerhati Yipaerguli, Zhou Wenting

机构信息

Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.

Xinjiang Key Laboratory of Natural Medicines Active Components and Drug Release Technology, Urumqi 830017, China.

出版信息

Biology (Basel). 2025 Mar 25;14(4):331. doi: 10.3390/biology14040331.

Abstract

BACKGROUND

Lung adenocarcinoma (LUAD) is a common histopathological variant of non-small cell lung cancer. Individuals with type 2 diabetes (T2DM) face an elevated risk of developing LUAD. We examined the common genomic characteristics between LUAD and T2DM through bioinformatics analysis.

METHODS

We acquired the GSE40791, GSE25724, GSE10072, and GSE71416 datasets. Differentially expressed genes (DEGs) were identified through R software, particularly its version 4.1.3 and analyzed via gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Subsequently, we analyzed the relationship between immune cell infiltration and DEGs. we constructed a protein-protein interaction network using STRING and visualized it with Cytoscape. Moreover, gene modules were identified utilizing the MCODE plugin, and hub genes were selected through the CytoHubba plugin. Additionally, we evaluated the predictive significance of hub genes using receiver operating characteristic curves and identified the final central hub genes. Finally, we forecasted the regulatory networks of miRNA and transcription factors for the central hub genes.

RESULTS

A total of 748 DEGs were identified. Analysis of immune infiltration showed a notable accumulation of effector-memory CD8 T cells, T follicular helper cells, type 1 T helper cells, activated B cells, natural killer cells, macrophages, and neutrophils in both LUAD and T2DM. Moreover, these DEGs were predominantly enriched in immune-related pathways, including the positive regulation of I-κB kinase/NF-κB signaling, positive regulation of immunoglobulin production, cellular response to interleukin-7, and cellular response to interleukin-4. The TGF-β signaling pathway was significantly important among them. Additionally, seven hub genes were identified, including , , , , , , and . Among them, , , and were identified as pivotal hub genes. Additionally, hsa-mir147a, hsa-mir16-5p, and hsa-mir-1-3p were associated with LUAD and T2DM. SP1 (specific protein 1) and KDM5A (lysine-specific demethylase 5A) regulated , , and .

CONCLUSIONS

Our study elucidates the common mechanisms of immune response, TGF-β signaling pathway, and natural killer cells in LUAD and T2DM, and identifies , , and as key potential biomarkers and therapeutic targets for the comorbidity of these two conditions.

摘要

背景

肺腺癌(LUAD)是非小细胞肺癌常见的组织病理学类型。2型糖尿病(T2DM)患者患LUAD的风险升高。我们通过生物信息学分析研究了LUAD和T2DM之间的共同基因组特征。

方法

我们获取了GSE40791、GSE25724、GSE10072和GSE71416数据集。通过R软件(特别是其4.1.3版本)鉴定差异表达基因(DEG),并通过基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析进行分析。随后,我们分析了免疫细胞浸润与DEG之间的关系。我们使用STRING构建蛋白质-蛋白质相互作用网络,并用Cytoscape进行可视化。此外,利用MCODE插件鉴定基因模块,并通过CytoHubba插件选择枢纽基因。此外,我们使用受试者工作特征曲线评估枢纽基因的预测意义,并确定最终的核心枢纽基因。最后,我们预测了核心枢纽基因的miRNA和转录因子调控网络。

结果

共鉴定出748个DEG。免疫浸润分析显示,在LUAD和T2DM中,效应记忆CD8 T细胞、滤泡辅助性T细胞、1型辅助性T细胞、活化B细胞、自然杀伤细胞、巨噬细胞和中性粒细胞均有显著聚集。此外,这些DEG主要富集于免疫相关通路,包括I-κB激酶/NF-κB信号的正调控、免疫球蛋白产生的正调控、细胞对白介素-7的反应以及细胞对白介素-4的反应。其中,TGF-β信号通路尤为重要。此外,鉴定出7个枢纽基因,包括 、 、 、 、 、 和 。其中, 、 和 被确定为关键枢纽基因。此外,hsa-mir147a、hsa-mir16-5p和hsa-mir-1-3p与LUAD和T2DM相关。SP1(特异性蛋白1)和KDM5A(赖氨酸特异性去甲基化酶5A)调控 、 和 。

结论

我们的研究阐明了LUAD和T2DM中免疫反应、TGF-β信号通路和自然杀伤细胞的共同机制,并确定 、 和 为这两种疾病合并症的关键潜在生物标志物和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c72/12025072/057837cdd09b/biology-14-00331-g001.jpg

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