title: Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data.
abstract: BACKGROUND
  Selecting a small number of signature genes for accurate classification of samples is essential for the development of diagnostic tests. However, many genes are highly correlated in gene expression data, and hence, many possible sets of genes are potential classifiers. Because treatment outcomes are poor in advanced chronic myeloid leukemia (CML), we hypothesized that expression of classifiers of advanced phase CML when detected in early CML [chronic phase (CP) CML], correlates with subsequent poorer therapeutic outcome.
  
  
  RESULTS
  We developed a method that integrates gene expression data with expert knowledge and predicted functional relationships using iterative Bayesian model averaging. Applying our integrated method to CML, we identified small sets of signature genes that are highly predictive of disease phases and that are more robust and stable than using expression data alone. The accuracy of our algorithm was evaluated using cross-validation on the gene expression data. We then tested the hypothesis that gene sets associated with advanced phase CML would predict relapse after allogeneic transplantation in 176 independent CP CML cases. Our gene signatures of advanced phase CML are predictive of relapse even after adjustment for known risk factors associated with transplant outcomes.
authors.affiliation: Department of Microbiology, University of Washington, Seattle, WA 98195, USA. kayee@u.washington.edu
authors.forename: K Y
authors.initials: KY
authors.lastname: Yeung
authors.forename: T A
authors.initials: TA
authors.lastname: Gooley
authors.forename: A
authors.initials: A
authors.lastname: Zhang
authors.forename: A E
authors.initials: AE
authors.lastname: Raftery
authors.forename: J P
authors.initials: JP
authors.lastname: Radich
authors.forename: V G
authors.initials: VG
authors.lastname: Oehler
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D018450:Disease Progression; D018380:Hematopoietic Stem Cell Transplantation; D006801:Humans; D015464:Leukemia, Myelogenous, Chronic, BCR-ABL Positive / Q000175:diagnosis* / Q000235:genetics* / Q000628:therapy; D015466:Leukemia, Myeloid, Chronic-Phase / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D016133:Polymerase Chain Reaction; D012008:Recurrence