Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19

Zhenjie Zhuang, Xiaoying Zhong, Qianying Chen, Huiqi Chen, Zhanhua Liu
2022 Frontiers in Pharmacology  
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the leading cause of coronavirus disease-2019 (COVID-19), is an emerging global health crisis. Lung cancer patients are at a higher risk of COVID-19 infection. With the increasing number of non-small-cell lung cancer (NSCLC) patients with COVID-19, there is an urgent need of efficacious drugs for the treatment of COVID-19/NSCLC.Methods: Based on a comprehensive bioinformatic and systemic biological analysis, this study investigated
more » ... VID-19/NSCLC interactional hub genes, detected common pathways and molecular biomarkers, and predicted potential agents for COVID-19 and NSCLC.Results: A total of 122 COVID-19/NSCLC interactional genes and 21 interactional hub genes were identified. The enrichment analysis indicated that COVID-19 and NSCLC shared common signaling pathways, including cell cycle, viral carcinogenesis, and p53 signaling pathway. In total, 10 important transcription factors (TFs) and 44 microRNAs (miRNAs) participated in regulations of 21 interactional hub genes. In addition, 23 potential candidates were predicted for the treatment of COVID-19 and NSCLC.Conclusion: This study increased our understanding of pathophysiology and screened potential drugs for COVID-19 and NSCLC.
doi:10.3389/fphar.2022.857730 pmid:35721149 pmcid:PMC9201692 fatcat:s4w6jrp3gzc63arnh6cxkunwcy