Dynamic protein-protein interaction subnetworks of lung cancer in cases with smoking history.

ABSTRACT: Smoking is the primary cause of lung cancer and is linked to 85% of lung cancer cases. However, how lung cancer develops in patients with smoking history remains unclear. Systems approaches that combine human protein-protein interaction (PPI) networks and gene expression data are superior to traditional methods. We performed these systems to determine the role that smoking plays in lung cancer development and used the support vector machine (SVM) model to predict PPIs. By defining expression variance (EV), we found 520 dynamic proteins (EV>0.4) using data from the Human Protein Reference Database and Gene Expression Omnibus Database, and built 7 dynamic PPI subnetworks of lung cancer in patients with smoking history. We also determined the primary functions of each subnetwork: signal trans

SUBMITTER: Yu W 

PROVIDER: S-EPMC3845612 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature