A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia.

ABSTRACT:

Purpose

Chronic lymphocytic leukemia (CLL) is a B-cell malignancy characterized by a variable clinical course. Several parameters have prognostic capabilities but are associated with altered response to therapy in only a small subset of patients.

Experimental design

We used gene expression profiling methods to generate predictors of therapy response and prognosis. Genomic signatures that reflect progressive disease and responses to chemotherapy or chemoimmunotherapy were created using cancer cell lines and patient leukemia cell samples. We validated and applied these three signatures to independent clinical data from four cohorts, representing a total of 301 CLL patients.

Results

A genomic signature of prognosis created from patient leukemic cell gene expression data

SUBMITTER: Friedman DR 

PROVIDER: S-EPMC2783430 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature