Predictive Value of Gene Databases in Discovering New Biomarkers and New Therapeutic Targets in Lung Cancer.

ABSTRACT: Background and Objectives: The molecular mechanisms of lung cancer are still unclear. Investigation of immune cell infiltration (ICI) and the hub gene will facilitate the identification of specific biomarkers. Materials and Methods: Key modules of ICI and immune cell-associated differential genes, as well as ICI profiles, were identified using lung cancer microarray data from the single sample gene set enrichment analysis (ssGSEA) and weighted gene co-expression network analysis (WGCNA) in the gene expression omnibus (GEO) database. Protein-protein interaction networks were used to identify hub genes. The receiver operating characteristic (ROC) curve was used to assess the diagnostic significance of the hub genes, and survival analysis was performed using gene expression prof

SUBMITTER: Liu M 

PROVIDER: S-EPMC10051862 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature