Pharmacogenomics of bortezomib test-dosing identifies hyperexpression of proteasome genes, especially PSMD4, as novel high-risk feature in myeloma treated with …

JD Shaughnessy Jr, P Qu, S Usmani… - Blood, The Journal …, 2011 - ashpublications.org
JD Shaughnessy Jr, P Qu, S Usmani, CJ Heuck, Q Zhang, Y Zhou, E Tian, I Hanamura
Blood, The Journal of the American Society of Hematology, 2011ashpublications.org
Gene expression profiling (GEP) of purified plasma cells 48 hours after thalidomide and
dexamethasone test doses showed these agents' mechanisms of action and provided
prognostic information for untreated myeloma patients on Total Therapy 2 (TT2). Bortezomib
was added in Total Therapy 3 (TT3), and 48 hours after bortezomib GEP analysis identified
80 highly survival-discriminatory genes in a training set of 142 TT3A patients that were
validated in 128 patients receiving TT3B. The 80-gene GEP model (GEP80) also …
Abstract
Gene expression profiling (GEP) of purified plasma cells 48 hours after thalidomide and dexamethasone test doses showed these agents' mechanisms of action and provided prognostic information for untreated myeloma patients on Total Therapy 2 (TT2). Bortezomib was added in Total Therapy 3 (TT3), and 48 hours after bortezomib GEP analysis identified 80 highly survival-discriminatory genes in a training set of 142 TT3A patients that were validated in 128 patients receiving TT3B. The 80-gene GEP model (GEP80) also distinguished outcomes when applied at baseline in both TT3 and TT2 protocols. In context of our validated 70-gene model (GEP70), the GEP80 model identified 9% of patients with a grave prognosis among those with GEP70-defined low-risk disease and 41% of patients with favorable prognosis among those with GEP70-defined high-risk disease. PMSD4 was 1 of 3 genes common to both models. Residing on chromosome 1q21, PSMD4 expression is highly sensitive to copy number. Both higher PSMD4 expression levels and higher 1q21 copy numbers affected clinical outcome adversely. GEP80 baseline-defined high risk, high lactate dehydrogenase, and low albumin were the only independent adverse variables surviving multivariate survival model. We are investigating whether second-generation proteasome inhibitors (eg, carfilzomib) can overcome resistance associated with high PSMD4 levels.
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