ArticleJournal of personalized medicine2022
CDK1 and HSP90AA1 Appear as the Novel Regulatory Genes in Non-Small Cell Lung Cancer: A Bioinformatics Approach.
Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 28 citations in OpenAlex.
- Fisetin-loaded Nanoemulsion and Fecal Microbiome Extract Enhance In Vitro Inhibition of Non-Small Cell Lung Cancer Progression.Cell biochemistry and biophysics · 2026Article
- Targeting HSP90 with Ganetespib to Induce CDK1 Degradation and Promote Cell Death in Hepatoblastoma.Cancers · 2025Article
- Transcriptome profiling and metabolic pathway analysis towards reliable biomarker discovery in early-stage lung cancer.Journal of applied genetics · 2025Article
- Precision Medicine: Transforming Cancer Research through Targeted Therapies.Current genomics · 2025Review
- Deep generative AI models analyzing circulating orphan non-coding RNAs enable detection of early-stage lung cancer.Nature communications · 2024Article
- Adunctin E fromInternational journal of molecular sciences · 2024Article
- A bioinformatics approach to elucidate conserved genes and pathways in C. elegans as an animal model for cardiovascular research.Scientific reports · 2024Article
- A deep learning model predicts the presence of diverse cancer types using circulating tumor cells.Scientific reports · 2023Article
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- Identification of key genes and therapeutic drugs for cocaine addiction using integrated bioinformatics analysis.Frontiers in neuroscience · 2023Article
- Network pharmacology and bioinformatics analysis identifies potential therapeutic targets ofFrontiers in endocrinology · 2023Article
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- Network Pharmacology-Integrated Molecular Docking Reveals the Expected Anticancer Mechanism ofBioMed research international · 2022Article
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Authors and funding
12 authors at 9 institutions in 3 countries.
Funding
Abstract
Lung cancer is one of the most invasive cancers affecting over a million of the population. Non-small cell lung cancer (NSCLC) constitutes up to 85% of all lung cancer cases, and therefore, it is essential to identify predictive biomarkers of NSCLC for therapeutic purposes. Here we use a network theoretical approach to investigate the complex behavior of the NSCLC gene-regulatory interactions. We have used eight NSCLC microarray datasets GSE19188, GSE118370, GSE10072, GSE101929, GSE7670, GSE33532, GSE31547, and GSE31210 and meta-analyzed them to find differentially expressed genes (DEGs) and further constructed a protein-protein interaction (PPI) network. We analyzed its topological properties and identified significant modules of the PPI network using cytoscape network analyzer and MCODE plug-in. From the PPI network, top ten genes of each of the six topological properties like closeness centrality, maximal clique centrality (MCC), Maximum Neighborhood Component (MNC), radiality, EPC (Edge Percolated Component) and bottleneck were considered for key regulator identification. We further compared them with top ten hub genes (those with the highest degrees) to find key regulator (KR) genes. We found that two genes, CDK1 and HSP90AA1, were common in the analysis suggesting a significant regulatory role of CDK1 and HSP90AA1 in non-small cell lung cancer. Our study using a network theoretical approach, as a summary, suggests CDK1 and HSP90AA1 as key regulator genes in complex NSCLC network.
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