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Jacobus, Susanna

https://orcid.org/0000-0003-1951-5314

Mayo Clinic

ECOG-ACRIN Biostatistics Center, Boston

Citations 31

Impact of gene expression profiling-based risk stratification in patients with myeloma receiving initial therapy with lenalidomide and dexamethasone
Kumar, Shaji , Uno, Hajime , Jacobus, Susanna , Wier, Scott A. Van, Ahmann, Greg, Henderson, Kimberly J., Haug, Jessica, Greipp, Philip R., Fonseca, Rafaƫl , Rajkumar, S. Vincent , Callander, Natalie S. , Siegel, David S. , Rajkumar, S Vincent , Uno, Hajime , Fonseca, Rafael

Blood | August 23, 2011 | Volume: 118 | Issue: 16 | Pages: 4359-4362

10.1182/blood-2011-03-342089 Get It

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.