Identification of prognostic markers of lung cancer through bioinformatics analysis and in vitro experiments.

ABSTRACT: Lung cancer is one of the most common types of cancer worldwide. Understanding the molecular mechanisms underlying the development and progression of lung cancer may improve early diagnosis, treatment and prognosis. The aim of the present study was to examine the pathogenesis of lung cancer and to identify potentially novel biomarkers. Gene expression datasets of patients with lung cancer were obtained from the Gene Expression Omnibus. Genes which were most closely associated with lung cancer (core genes) were screened by weighted gene co‑expression network analysis. In vitro cell based experiments were further utilized to verify the effects of the core genes on the proliferation of lung cancer cells, adhesion between cells and the matrix, and the associated metabolic pathways. Based on WG

SUBMITTER: Ling B 

PROVIDER: S-EPMC6910184 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature