Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19
Background: 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) p...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Pharmacology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2022.857730/full |
| _version_ | 1818534875786903552 |
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| author | Zhenjie Zhuang Xiaoying Zhong Qianying Chen Huiqi Chen Zhanhua Liu |
| author_facet | Zhenjie Zhuang Xiaoying Zhong Qianying Chen Huiqi Chen Zhanhua Liu |
| author_sort | Zhenjie Zhuang |
| collection | DOAJ |
| description | Background: 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 COVID-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. |
| first_indexed | 2024-12-11T18:17:18Z |
| format | Article |
| id | doaj.art-8a1691aef8a9481cb7a222ca7e2dc571 |
| institution | Directory Open Access Journal |
| issn | 1663-9812 |
| language | English |
| last_indexed | 2024-12-11T18:17:18Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj.art-8a1691aef8a9481cb7a222ca7e2dc5712022-12-22T00:55:23ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122022-06-011310.3389/fphar.2022.857730857730Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19Zhenjie Zhuang0Xiaoying Zhong1Qianying Chen2Huiqi Chen3Zhanhua Liu4Guangzhou University of Chinese Medicine, Guangzhou, ChinaGuangzhou University of Chinese Medicine, Guangzhou, ChinaGuangzhou University of Chinese Medicine, Guangzhou, ChinaGuangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Oncology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaBackground: 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 COVID-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.https://www.frontiersin.org/articles/10.3389/fphar.2022.857730/fullCOVID-19non-small-cell lung cancerinteraction networkbioinformatic analysissystemic biological analysis |
| spellingShingle | Zhenjie Zhuang Xiaoying Zhong Qianying Chen Huiqi Chen Zhanhua Liu Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19 Frontiers in Pharmacology COVID-19 non-small-cell lung cancer interaction network bioinformatic analysis systemic biological analysis |
| title | Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19 |
| title_full | Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19 |
| title_fullStr | Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19 |
| title_full_unstemmed | Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19 |
| title_short | Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19 |
| title_sort | bioinformatics and system biology approach to reveal the interaction network and the therapeutic implications for non small cell lung cancer patients with covid 19 |
| topic | COVID-19 non-small-cell lung cancer interaction network bioinformatic analysis systemic biological analysis |
| url | https://www.frontiersin.org/articles/10.3389/fphar.2022.857730/full |
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