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

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机构： [1]Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China [2]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

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关键词： COVID-19 SARS-CoV-2 Lung adenocarcinoma Differentially expressed genes Bioinformatics Gene regulatory networks

摘要：

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.

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出版当年[2022]版：

大类 | 3 区环境科学与生态学

小类 | 3 区环境科学

最新[2023]版：

大类 | 3 区环境科学与生态学

小类 | 3 区环境科学

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出版当年[2022]版：

Q1 ENVIRONMENTAL SCIENCES

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无

影响因子： 0 最新[2023版] 0 最新五年平均 5.8 出版当年[2022版] 5.4 出版当年五年平均 5.19 出版前一年[2021版]

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第一作者机构： [1]Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

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