PT - JOURNAL ARTICLE AU - Chng, Wee J. AU - Kumar, Shaji AU - VanWier, Scott AU - Ahmann, Greg AU - Price-Troska, Tammy AU - Henderson, Kim AU - Chung, Tae-Hoon AU - Kim, Seungchan AU - Mulligan, George AU - Bryant, Barbara AU - Carpten, John AU - Gertz, Morie AU - Rajkumar, S. Vincent AU - Lacy, Martha AU - Dispenzieri, Angela AU - Kyle, Robert AU - Greipp, Philip AU - Bergsagel, P. Leif AU - Fonseca, Rafael TI - Molecular Dissection of Hyperdiploid Multiple Myeloma by Gene Expression Profiling AID - 10.1158/0008-5472.CAN-06-4046 DP - 2007 Apr 01 TA - Cancer Research PG - 2982--2989 VI - 67 IP - 7 4099 - http://cancerres.aacrjournals.org/content/67/7/2982.short 4100 - http://cancerres.aacrjournals.org/content/67/7/2982.full SO - Cancer Res2007 Apr 01; 67 AB - 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] ©2007 American Association for Cancer Research.