Abstract
Background: Lung cancer is the most common human cancer. There are numerous studies that have sought to discover genetic impact factors associated with it. The study reported on in this article is a systematic search for the genetic networks underlying the Lewis lung carcinoma (LLC) model.Methods: LLC-Gene relation data were extracted from the ResNet 11 Mammalian database, containing 175 LLC candidate genes (nodes). Pathway Enrichment Analysis, Sub-Network Enrichment Analysis, Network Connectivity Analysis, and Network Metrics Analysis were conducted to study network attributes and select the top nodes (genes). LLC-Drug and Drug-Gene relation data examined LLC-Gene relations at the small molecule level.Results: A total of 166 of 175 genes that were enriched in 134 LLC candidate pathways (p < 1e-07), demonstrated strong gene-gene interactions. Metrics analysis revealed 4 genes, IL6, TNF, VEGFA, and HIF1A, as top LLC candidates as measured by replication frequency, network centrality, and functional diversity. Additionally, 169 of 175 LLC candidate genes demonstrated strong interactions with 213 of 253 LLC effective drugs which supports an LLC-gene relationship.Conclusion: The results suggest that LLC genetic causes link to a genetic network composed of a large number of genes. This network, together with literature and enrichment metrics provide a foundation for further biological/genetic studies in the field.
Highlights
Lewis lung carcinoma is a tumor named after its 1951 discoverer, Dr Margaret R
The full gene list, and related information, including metric scores and related pathways appear in Supplementary Table S1a
The 256 supporting references appear in Supplementary Table S1b, including AD-gene relation types, reference titles, and sentences where an AD-gene relationship was identified
Summary
Lewis lung carcinoma is a tumor named after its 1951 discoverer, Dr Margaret R. Worldwide lung cancer is the most common human cancer measured by incidence and mortality [1]. LLC cells were utilized to illuminate underlying mechanisms of drug-mediated antitumor activity [2]. An increasing number of articles have been published. They report over a hundred genes relate to the disease. Lung cancer is the most common human cancer. There are numerous studies that have sought to discover genetic impact factors associated with it. The study reported on in this article is a systematic search for the genetic networks underlying the Lewis lung carcinoma (LLC) model
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