Subnetwork-based analysis of chronic lymphocytic leukemia identifies pathways that associate with disease progression.

ABSTRACT: The clinical course of patients with chronic lymphocytic leukemia (CLL) is heterogeneous. Several prognostic factors have been identified that can stratify patients into groups that differ in their relative tendency for disease progression and/or survival. Here, we pursued a subnetwork-based analysis of gene expression profiles to discriminate between groups of patients with disparate risks for CLL progression. From an initial cohort of 130 patients, we identified 38 prognostic subnetworks that could predict the relative risk for disease progression requiring therapy from the time of sample collection, more accurately than established markers. The prognostic power of these subnetworks then was validated on 2 other cohorts of patients. We noted reduced divergence in gene expression between

SUBMITTER: Chuang HY 

PROVIDER: S-EPMC3460686 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature