Gene expression analysis identifies a genetic signature potentially associated with response to α-IFN in chronic phase CML patients

✍ Scribed by Anette Hagberg; Ulla Olsson-Strömberg; Ulrika Wickenberg-Bolin; Hanna Göransson; Anders Isaksson; Mats Bengtsson; Martin Höglund; Bengt Simonsson; Gisela Barbany

• Book ID: 104040323
• Publisher: Elsevier Science
• Year: 2007
• Tongue: English
• Weight: 257 KB
• Volume: 31
• Category: Article
• ISSN: 0145-2126
• DOI: 10.1016/j.leukres.2006.11.015

✦ Synopsis

Microarray-based gene expression analysis was performed on diagnostic chronic phase CML patient samples prior to interferon treatment. Fifteen patient samples corresponding to six cytogenetic responders and nine non-responders were included. Genes differentially expressed between responder and non-responder patients were listed and a subsequent leave-one-out cross validation (LOOV) procedure showed that the top 20 genes allowed the highest prediction accuracy. The relevant genes were quantified by real-time PCR that supported the microarray results. We conclude that it might be possible to use gene expression analysis to predict future response to interferon in CML diagnostic samples.