Gene expression profile alone is inadequate in predicting complete response in multiple myeloma.

ABSTRACT: With advent of several treatment options in multiple myeloma (MM), a selection of effective regimen has become an important issue. Use of gene expression profile (GEP) is considered an important tool in predicting outcome; however, it is unclear whether such genomic analysis alone can adequately predict therapeutic response. We evaluated the ability of GEP to predict complete response (CR) in MM. GEP from pretreatment MM cells from 136 uniformly treated MM patients with response data on an IFM, France led study were analyzed. To evaluate variability in predictive power due to microarray platform or treatment types, additional data sets from three different studies (n=511) were analyzed using same methods. We used several machine learning methods to derive a prediction model using training

SUBMITTER: Amin SB 

PROVIDER: S-EPMC4198516 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature