Impact of gene expression profiling-based risk stratification in patients with myeloma receiving initial therapy with lenalidomide and dexamethasone
Year: 2011
Type: article
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.
Source: Blood
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: ECOG Statistical Office Data Management Grant, G1422427855, G1771393403, G2047616348, G2679961467, G286468852, Angiogenesis and thalidomide therapy in multiple myeloma, G3762168461, G4412485521, G6944741171, G7403876421, G7585679282, Eastern Cooperative Oncology Group Operations Office, Paul Calabresi Program in Clinical/Translational Research at Mayo Clinic, G964706321
OpenAlex ID: W2027679963
