Machine learning-based screening of the diagnostic genes and their relationship with immune-cell infiltration in patients with lung adenocarcinoma

Abstract excerpt

Background: Lung adenocarcinoma (LUAD) is the most common type of lung cancer, and has a dismal mortality rate of 80%, mainly due to diagnosis at an advanced stage. Biomarkers with high specificity and sensitivity for the early diagnosis of LUAD are sparse. This study aimed to identify markers for the early diagnosis of LUAD. Methods: The GSE32863 and GSE75037 data sets were standardized and merged to screen for...

Topics

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

• Share to Cancer Immunotherapy and Biomarkers
• Share to Ferroptosis and cancer prognosis
• Share to Inflammatory Biomarkers in Disease Prognosis