Discovering gene expression signatures responding to tyrosine kinase inhibitor treatment in chronic myeloid leukemia.

ABSTRACT:

Background

Tyrosine kinase inhibitor (TKI)-based therapy is a recommended treatment for patients with chronic myeloid leukemia (CML). However, a considerable group of CML patients do not respond well to the TKI therapy. Challenging to overcome this problem, we tried to discover molecular signatures in gene expression profiles to discriminate the responders and non-responders of TKI therapy.

Methods

We collected three microarray datasets of CML patients having total 73 responders and 38 non-responders. Statistical analysis was performed to identify differentially expressed genes (DEGs) as gene signature candidates from integrated microarray datasets. The classification performance of these genes and further selected discriminator gene sets was tested by using random forest an

SUBMITTER: Cha K 

PROVIDER: S-EPMC4989900 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature