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生物信息学方法鉴定 2019 年冠状病毒和肺腺癌患者的常见基因特征。

Bioinformatics approach to identify common gene signatures of patients with coronavirus 2019 and lung adenocarcinoma.

机构信息

Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.

Department of Anesthesiology, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, No.55, Section 4, Renmin South Road, Chengdu, 610041, Sichuan Province, China.

出版信息

Environ Sci Pollut Res Int. 2022 Mar;29(15):22012-22030. doi: 10.1007/s11356-021-17321-9. Epub 2021 Nov 13.

DOI:10.1007/s11356-021-17321-9
PMID:34775559
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8590527/
Abstract

Coronavirus disease 2019 (COVID-19) continues as a global pandemic. Patients with lung cancer infected with COVID-19 may develop severe disease or die. Treating such patients severely burdens overwhelmed healthcare systems. Here, we identified potential pathological mechanisms shared between patients with COVID-19 and lung adenocarcinoma (LUAD). Co-expressed, differentially expressed genes (DEGs) in patients with COVID-19 and LUAD were identified and used to construct a protein-protein interaction (PPI) network and to perform enrichment analysis. We used the NetworkAnalyst platform to establish a co-regulatory of the co-expressed DEGs, and we used Spearman's correlation to evaluate the significance of associations of hub genes with immune infiltration and immune checkpoints. Analysis of three datasets identified 112 shared DEGs, which were used to construct a protein-PPI network. Subsequent enrichment analysis revealed co-expressed genes related to biological process (BP), molecular function (MF), and cellular component (CC) as well as to pathways, specific organs, cells, and diseases. Ten co-expressed hub genes were employed to construct a gene-miRNA, transcription factor (TF)-gene, and TF-miRNA network. Hub genes were significantly associated with immune infiltration and immune checkpoints. Finally, methylation level of hub genes in LUAD was obtained via UALCAN database. The present multi-dimensional study reveals commonality in specific gene expression by patients with COVID-19 and LUAD. These findings provide insights into developing strategies for optimising the management and treatment of patients with LUAD with COVID-19.

摘要

新型冠状病毒病(COVID-19)仍然是一种全球大流行疾病。感染 COVID-19 的肺癌患者可能会发展为重症疾病甚至死亡。治疗此类患者给负担过重的医疗系统带来了巨大压力。在这里,我们确定了 COVID-19 患者和肺腺癌(LUAD)患者之间可能存在的共同病理机制。鉴定 COVID-19 患者和 LUAD 患者的共表达、差异表达基因(DEGs),并构建蛋白-蛋白相互作用(PPI)网络并进行富集分析。我们使用 NetworkAnalyst 平台建立共表达 DEGs 的共调控网络,并使用 Spearman 相关性评估核心基因与免疫浸润和免疫检查点关联的显著性。对三个数据集的分析确定了 112 个共享 DEGs,用于构建蛋白质 PPI 网络。随后的富集分析揭示了与生物学过程(BP)、分子功能(MF)和细胞成分(CC)以及途径、特定器官、细胞和疾病相关的共表达基因。使用十个共表达的枢纽基因构建基因-miRNA、转录因子(TF)-基因和 TF-miRNA 网络。枢纽基因与免疫浸润和免疫检查点显著相关。最后,通过 UALCAN 数据库获得 LUAD 中枢纽基因的甲基化水平。这项多维研究揭示了 COVID-19 患者和 LUAD 患者特定基因表达的共性。这些发现为制定优化 COVID-19 合并 LUAD 患者管理和治疗策略提供了思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d861/8590527/eb3e23ebaeaa/11356_2021_17321_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d861/8590527/eb3e23ebaeaa/11356_2021_17321_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d861/8590527/e7b6894f57d2/11356_2021_17321_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d861/8590527/c511edf24e18/11356_2021_17321_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d861/8590527/5177a9ddf5d6/11356_2021_17321_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d861/8590527/eb3e23ebaeaa/11356_2021_17321_Fig8_HTML.jpg

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