Impact of gene expression profiling-based risk stratification in patients with myeloma receiving initial therapy with lenalidomide and dexamethasone

Shaji K. Kumar, Hajime Uno, Susanna J. Jacobus, Scott A. Van Wier, Greg J. Ahmann, Kimberly J. Henderson, Natalie S. Callander, Jessica L. Haug, David S. Siegel, Philip R. Greipp, Rafael Fonseca, S. Vincent Rajkumar

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Detection of specific chromosomal abnormalities by FISH and metaphase cytogenetics allows risk stratification in multiple myeloma; however, gene expression profiling (GEP) based signatures may enable more specific risk categorization. We examined the utility of 2 GEP-based risk stratification systems among patients undergoing initial therapy with lenalidomide in the context of a phase 3 trial. Among 45 patients studied at baseline, 7 (16%) and 10 (22%), respectively, were high-risk using the GEP70 and GEP15 signatures. The median overall survival for the GEP70 high-risk group was 19 months versus not reached for the rest (hazard ratio ∇ 14.1). Although the medians were not reached, the GEP15 also predicted a poor outcome among the high-risk patients. The C-statistic for the GEP70, GEP15, and FISH based risk stratification systems was 0.74, 0.7, and 0.7, respectively. Here we demonstrate the prognostic value for GEP risk stratification in a group of patients primarily treated with novel agents. This trial was registered at www.clinicaltrials.gov as #NCT00098475.

Original languageEnglish (US)
Pages (from-to)4359-4362
Number of pages4
JournalBlood
Volume118
Issue number16
DOIs
StatePublished - Oct 20 2011

ASJC Scopus subject areas

  • Biochemistry
  • Immunology
  • Hematology
  • Cell Biology

Fingerprint

Dive into the research topics of 'Impact of gene expression profiling-based risk stratification in patients with myeloma receiving initial therapy with lenalidomide and dexamethasone'. Together they form a unique fingerprint.

Cite this