Identification of genes associated with cancer progression and prognosis in lung adenocarcinoma: Analyses based on microarray from Oncomine and The Cancer Genome Atlas databases

Abstract excerpt

BACKGROUND: Lung adenocarcinoma (LUAD) accounts for approximately 40% of all lung cancer patients. There is an urgent need to understand the mechanisms of cancer progression in LUAD and to identify useful biomarkers to predict prognosis. METHODS: In this study, Oncomine database was used to identify potential genes contributed to cancer progression. Bioinformatics analysis including pathway enrichment and text...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bioinformatics and Genomic Networks
• Share to Ferroptosis and cancer prognosis
• Share to Lung Cancer Treatments and Mutations