Non-small-cell lung cancer pathological subtype-related gene selection and bioinformatics analysis based on gene expression profiles.

ABSTRACT: Lung cancer is one of the most common malignant diseases and a major threat to public health on a global scale. Non-small-cell lung cancer (NSCLC) has a higher degree of malignancy and a lower 5-year survival rate compared with that of small-cell lung cancer. NSCLC may be mainly divided into two pathological subtypes, adenocarcinoma and squamous cell carcinoma. The aim of the present study was to identify disease genes based on the gene expression profile and the shortest path analysis of weighted functional protein association networks with the existing protein-protein interaction data from the Search Tool for the Retrieval of Interacting Genes. The gene expression profile (GSE10245) was downloaded from the National Center for Biotechnology Information Gene Expression Omnibus database, in

SUBMITTER: Chen J 

PROVIDER: S-EPMC5774457 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature