A systems biology approach to prediction of oncogenes and molecular perturbation targets in B‐cell lymphomas

摘要: The computational identification of oncogenic lesions is still a key open problem in cancer biology. Although several methods have been proposed, they fail to model how such events are mediated by the network molecular interactions cell. In this paper, we introduce systems biology approach, based on analysis that become dysregulated specific tumor phenotypes. Such strategy provides important insights into tumorigenesis, effectively extending and complementing existing methods. Furthermore, show same approach highly effective identifying targets perturbations human cellular context, task virtually unaddressed To identify three distinct non-Hodgkin's lymphomas samples perturbed with CD40 ligand, use B-cell interactome (BCI), genome-wide compendium interactions, combination large set microarray expression profiles. method consistently ranked known gene top 20 (0.3%), outperforming conventional approaches 3 4 cases.