Molecular dissection of hyperdiploid multiple myeloma by gene expression profiling

被引:209
作者
Chng, Wee J.
Kumar, Shaji
VanWier, Scott
Ahmann, Greg
Price-Troska, Tammy
Henderson, Kim
Chung, Tae-Hoon
Kim, Seungchan
Mulligan, George
Bryant, Barbara
Carpten, John
Gertz, Morie
Rajkumar, S. Vincent
Lacy, Martha
Dispenzieri, Angela
Kyle, Robert
Greipp, Philip
Bergsagel, P. Leif
Fonseca, Rafael
机构
[1] Mayo Clin, Div Hematol Oncol, Scottsdale, AZ 85260 USA
[2] Mayo Clin, Div Hematol, Rochester, MN USA
[3] Translat Genom Res Inst, Phoenix, AZ USA
[4] Arizona State Univ, Dept Comp Sci & Engn, Tempe, AZ USA
[5] Millenium Pharmaceut Inc, Cambridge, MA USA
关键词
D O I
10.1158/0008-5472.CAN-06-4046
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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-rB 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.
引用
收藏
页码:2982 / 2989
页数:8
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