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Published on: September 20, 2024
Identifying Potential Gene Defect Patterns Related to COVID-19 Based on Pharmacological and Bioinformatics Analysis
Hongqiang Lou1, Xusheng Li1, Suhua Gao1
1Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Background:
Coronavirus disease 2019 (COVID-19) greatly affects cancer patients, especially those with lung cancer. This study aimed to identify potential drug targets for lung adenocarcinoma (LUAD) patients with COVID-19.
Methods:
LUAD samples were obtained from public databases. Differentially expressed genes (DEGs) related to COVID-19 were screened. Protein-protein interactions among COVID-19-related genes, the traditional Chinese medicine (TCM) and TCM target genes were analyzed by CytoScape. The correlation between tumor microenvironment and COVID-19 target genes were assessed by Pearson correlation analysis. Unsupervised consensus clustering was conducted to categorize molecular subtypes.
Results:
We filtered 26 COVID-19 target genes related to TCM for LUAD. Interleukin (IL)-17 signaling pathway and tumor necrosis factor (TNF) signaling pathway were significantly enriched in these 26 genes. A strong correlation was found between COVID-19 target genes and tumor microenvironment (TME), cell death. Importantly, interleukin-1beta (IL1B) was identified as a core gene in the protein-protein interactions (PPI) network. Based on the 26 target genes, two molecular subtypes showing distinct overall survival, TME and response to target therapy were developed.
Conclusions:
This study explored 26 COVID-19 target genes, which could serve as potential therapeutic drug targets for LUAD. IL1B was verified as a critical target for developing new molecular drugs. Furthermore, two novel molecular subtypes showed the potential to guide personalized therapies in clinical practice.
Insights
This study identified 26 COVID-19 target genes for lung adenocarcinoma (LUAD), with Interleukin-1beta (IL1B) as a key target for new drugs. Two molecular subtypes were found, potentially guiding personalized LUAD therapies.
Area of Science:
- Oncology
- Infectious Diseases
- Genomics
Background:
- Coronavirus disease 2019 (COVID-19) poses significant risks to cancer patients, particularly those with lung cancer.
- Lung adenocarcinoma (LUAD) patients are disproportionately affected by COVID-19, necessitating targeted therapeutic strategies.
Purpose of the Study:
- To identify potential drug targets for lung adenocarcinoma (LUAD) patients co-infected with COVID-19.
- To explore the relationship between COVID-19 related genes, traditional Chinese medicine (TCM) targets, and the tumor microenvironment (TME) in LUAD.
Main Methods:
- Screened differentially expressed genes (DEGs) related to COVID-19 in LUAD samples from public databases.
- Analyzed protein-protein interactions (PPI) of COVID-19 genes, TCM, and TCM targets using CytoScape.
- Assessed correlations between TME and COVID-19 target genes, and performed unsupervised consensus clustering to define molecular subtypes.
Main Results:
- Identified 26 COVID-19 target genes relevant to TCM for LUAD, with significant enrichment in Interleukin-17 and Tumor Necrosis Factor signaling pathways.
- Found a strong correlation between COVID-19 target genes and TME, cell death, identifying Interleukin-1beta (IL1B) as a core gene in the PPI network.
- Developed two distinct molecular subtypes based on the 26 target genes, demonstrating differences in overall survival, TME, and response to targeted therapy.
Conclusions:
- The study identified 26 COVID-19 target genes as potential therapeutic targets for LUAD.
- Interleukin-1beta (IL1B) was confirmed as a critical gene for developing novel molecular drugs.
- Two novel molecular subtypes offer potential for guiding personalized treatment strategies in clinical practice for LUAD patients with COVID-19.

