Lung cancer (LC) is the leading cause of cancer-related deaths worldwide. Smoking has been identified as the main contributing cause of the disease's development. The study aimed to identify the key genes in small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), the two ...
hub geneslung cancer.Previous studies have shown that asthma is a risk factor for lung cancer, while the mechanisms involved remain unclear. We attempted to further explore the association between asthma and non-small cell lung cancer (NSCLC) via bioinformatics analysis. We obtained GSE143303 and ...
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et al. Perturbation-response genes reveal signaling footprints in cancer gene expression. Nat. Commun. 9, 20 (2018). Article ADS PubMed PubMed Central Google Scholar Gu, Z., Eils, R. & Schlesner, M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. ...
The hub genes analysis by using the Oncomine database In this study, the hub gene was analyzed using the Oncomine database for the following reason: using the Oncomine database for analysis could help understand the oncological genetic characteristics of the hub gene in lung cancer. The hub gen...
In this study, the selected four GEO datasets were analyzed using GEO2R to identify DEGs in all cancer types; following that, functional enrichments, pathways analysis, clinical relevance of hub genes, expression validation, and drug sensitivity were performed as per the workflow (Fig.1). A to...
Smoking is one of the risk factors that leads to cancer progression. Key genes involved in the progression of lung cancer can be traced by the identification of the hub gene. In this study we compared the expression profiles of 775 lung cancer patients and identified the differentially expressed...
Lung adenocarcinoma (LUAD) is one of the sole causes of death in lung cancer patients. This study combined with single-cell RNA-seq analysis to identify tumor stem-related prognostic models to predict the prognosis of lung adenocarcinoma, chemotherapy ag
Random forest and K-nearest neighbor, two machine learning-based algorithms, achieved accuracies of 89% and 85% for distinguishing LC and GERD, respectively, from controls using these hub genes. Additionally, potential drug targets were identified, with molecular docking confirming the binding ...
Glutamine metabolism is pivotal in cancer biology, profoundly influencing tumor growth, proliferation, and resistance to therapies. Cancer cells often exhi