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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

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

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

PubMed 2025/03/25(内容时间) Biology (Basel) Q1 · IF 4.3(JCR 2025)

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研究概要

我们的研究阐明了免疫反应、TGF-β信号通路和 NK 细胞在 LUAD 和 T2DM 中的共同机制,并确定 ATR、RFC4 和 MCM2 是这两种疾病共病的关键潜在生物标志物和治疗靶点。

研究思路结论见上方概要

肺腺癌(LUAD)是非小细胞肺癌常见的组织病理学变异型。2型糖尿病(T2DM)患者发生LUAD的风险升高。我们通过生物信息学分析探讨了LUAD与T2DM之间的共同基因组特征。

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,识别了差异表达基因(DEGs),并通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析进行了分析。随后,我们分析了免疫细胞浸润与DEGs之间的关系。我们使用STRING构建了蛋白质-蛋白质相互作用网络,并用Cytoscape进行了可视化。此外,利用MCODE插件识别了基因模块,并通过CytoHubba插件选择了枢纽基因。另外,我们使用受试者工作特征曲线评估了枢纽基因的预测意义,并确定了最终的中心枢纽基因。最后,我们预测了中心枢纽基因的miRNA和转录因子调控网络。

共鉴定出748个DEGs。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、NK 细胞、巨噬细胞和中性粒细胞均显著积聚。此外,这些DEGs主要富集于免疫相关通路,包括I-κB激酶/NF-κB信号的正向调控、免疫球蛋白产生的正向调控、对白细胞介素-7的细胞反应以及对白细胞介素-4的细胞反应。其中TGF-β信号通路尤为重要。此外,还鉴定出七个枢纽基因,包括ATR、RFC4、MCM2、NUP155、NUP107、NUP85和NUP37。其中,ATR、RFC4和MCM2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MCM2、ATR和RFC4。

展开英文摘要原文

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.

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.

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 ATR , RFC4 , MCM2 , NUP155 , NUP107 , NUP85 , and NUP37 . Among them, ATR , RFC4 , and MCM2 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 MCM2 , ATR , and RFC4 .

Our study elucidates the common mechanisms of immune response, TGF-β signaling pathway, and natural killer cells in LUAD and T2DM, and identifies ATR , RFC4 , and MCM2 as key potential biomarkers and therapeutic targets for the comorbidity of these two conditions.

论文信息

作者
Nueraihemaiti N、Dilimulati D、Baishan A、Hailati S、Maihemuti N、Aikebaier A、Paerhati Y、Zhou W
单位
Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830017, China.China
期刊
Biology2025 Mar 25
原文标识
PubMed 40282196 · DOI 10.3390/biology14040331