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

Blood. 2011 Oct 20;118(16):4359-62. doi: 10.1182/blood-2011-03-342089. Epub 2011 Aug 22.

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.

Publication types

  • Clinical Trial, Phase III
  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Antineoplastic Agents / therapeutic use*
  • Chromosome Aberrations
  • Dexamethasone / therapeutic use*
  • Female
  • Gene Expression Profiling*
  • Humans
  • Lenalidomide
  • Male
  • Middle Aged
  • Multiple Myeloma / drug therapy*
  • Multiple Myeloma / genetics*
  • Survival Analysis
  • Thalidomide / analogs & derivatives*
  • Thalidomide / therapeutic use
  • Treatment Outcome

Substances

  • Antineoplastic Agents
  • Thalidomide
  • Dexamethasone
  • Lenalidomide

Associated data

  • ClinicalTrials.gov/NCT00098475