Molecular dissection of hyperdiploid multiple myeloma by gene expression profiling

WJ Chng, S Kumar, S VanWier, G Ahmann… - Cancer research, 2007 - AACR
WJ Chng, S Kumar, S VanWier, G Ahmann, T Price-Troska, K Henderson, TH Chung, S Kim
Cancer research, 2007AACR
Hyperdiploid multiple myeloma (H-MM) is the most common form of myeloma. In this gene
expression profiling study, we show that H-MM is defined by a protein biosynthesis signature
that is primarily driven by a gene dosage mechanism as a result of trisomic chromosomes.
Within H-MM, four independently validated patient clusters overexpressing nonoverlapping
sets of genes that form cognate pathways/networks that have potential biological importance
in multiple myeloma were identified. One prominent cluster, cluster 1, is characterized by …
Abstract
Hyperdiploid multiple myeloma (H-MM) is the most common form of myeloma. In this gene expression profiling study, we show that H-MM is defined by a protein biosynthesis signature that is primarily driven by a gene dosage mechanism as a result of trisomic chromosomes. Within H-MM, four independently validated patient clusters overexpressing nonoverlapping sets of genes that form cognate pathways/networks that have potential biological importance in multiple myeloma were identified. One prominent cluster, cluster 1, is characterized by high expression of cancer testis antigen and proliferation-associated genes. Tumors from these patients were more proliferative than tumors in other clusters (median plasma cell labeling index, 3.8; P < 0.05). Another cluster, cluster 3, is characterized by genes involved in tumor necrosis factor/nuclear factor-κB signaling and antiapoptosis. These patients have better response to bortezomib as compared with patients within other clusters (70% versus 29%; P = 0.02). Furthermore, for a group of patients generally thought to have better prognosis, a cluster of patients with short survival (cluster 1; median survival, 27 months) could be identified. This analysis illustrates the heterogeneity within H-MM and the importance of defining specific cytogenetic prognostic factors. Furthermore, the signatures that defined these clusters may provide a basis for tailoring treatment to individual patients. [Cancer Res 2007;67(7):2982–9]
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