Multiple myeloma (MM) is a fatal, clonal B-cell malignancy of terminally differentiated immunoglobulin-secreting plasma cells (PCs) that originate in germinal centers of lymph nodes and home to and expand in the bone marrow. Although other hematological malignancies have been molecularly classified by cytogenetic abnormalities, historically, molecular analysis of MM has been difficult. However, using high-density oligonucleotide DNA microarray (HDA) technology on RNA isolated from highly purified PCs, expression profiles of nearly 6800 genes in normal and malignant MM PCs, as well as monoclonal gammopathy of undetermined significance (MGUS), have been established. Building on preliminary data from more than 70 newly diagnosed MM patients and 7 MGUS cases, new molecular-based diagnostic and prognostic models of the plasma cell dyscrasia MGUS and MM will be established. This goal will be accomplished through 3 specific aims. 1. Define gene expression patterns that differentiate normal, pre-neoplastic, and neoplastic plasma cells. 2. Develop diagnostic and prognostic models for MGUS and MM by use of gene expression profiles. 3. Define the molecular signatures of disease evolution and resistance/relapse through longitudinal global gene expression studies. A new molecular classification of MM and related disorders, provided through the proposed work, will enable clinicians and bench scientists to better understand and combat plasma cell cancer on a genetic level. This knowledge will not only allow a better under- standing of the basic biological pathways that are altered in MM and MGUS but also will provide the framework for the creation new highly accurate molecular tests to diagnose and predict prognosis of these diseases as well aid in the design of novel therapeutics. Thus, the work proposed supports the goals of an R33 project funded through PAR-01-106 (Applications of Innovative Technologies for the Molecular Analysis of Cancer).

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants Phase II (R33)
Project #
5R33CA097513-02
Application #
6648512
Study Section
Special Emphasis Panel (ZCA1-SRRB-C (M1))
Program Officer
Tricoli, James
Project Start
2002-08-22
Project End
2005-06-30
Budget Start
2003-07-01
Budget End
2004-06-30
Support Year
2
Fiscal Year
2003
Total Cost
$447,507
Indirect Cost
Name
University of Arkansas for Medical Sciences
Department
Other Clinical Sciences
Type
Schools of Medicine
DUNS #
122452563
City
Little Rock
State
AR
Country
United States
Zip Code
72205
Shi, Leming; Campbell, Gregory; Jones, Wendell D et al. (2010) The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol 28:827-38
Qiang, Ya-Wei; Chen, Yu; Brown, Nathan et al. (2010) Characterization of Wnt/beta-catenin signalling in osteoclasts in multiple myeloma. Br J Haematol 148:726-38
Zhou, Y; Barlogie, B; Shaughnessy Jr, J D (2009) The molecular characterization and clinical management of multiple myeloma in the post-genome era. Leukemia 23:1941-56
Durie, B G M; Van Ness, B; Ramos, C et al. (2009) Genetic polymorphisms of EPHX1, Gsk3beta, TNFSF8 and myeloma cell DKK-1 expression linked to bone disease in myeloma. Leukemia 23:1913-9
Qiang, Ya-Wei; Chen, Yu; Stephens, Owen et al. (2008) Myeloma-derived Dickkopf-1 disrupts Wnt-regulated osteoprotegerin and RANKL production by osteoblasts: a potential mechanism underlying osteolytic bone lesions in multiple myeloma. Blood 112:196-207
Burington, Bart; Barlogie, Bart; Zhan, Fenghuang et al. (2008) Tumor cell gene expression changes following short-term in vivo exposure to single agent chemotherapeutics are related to survival in multiple myeloma. Clin Cancer Res 14:4821-9
Xiong, Wei; Wu, Xiaosong; Starnes, Sarah et al. (2008) An analysis of the clinical and biologic significance of TP53 loss and the identification of potential novel transcriptional targets of TP53 in multiple myeloma. Blood 112:4235-46
Yaccoby, S; Pennisi, A; Li, X et al. (2008) Atacicept (TACI-Ig) inhibits growth of TACI(high) primary myeloma cells in SCID-hu mice and in coculture with osteoclasts. Leukemia 22:406-13
Zhan, Fenghuang; Barlogie, Bart; Mulligan, George et al. (2008) High-risk myeloma: a gene expression based risk-stratification model for newly diagnosed multiple myeloma treated with high-dose therapy is predictive of outcome in relapsed disease treated with single-agent bortezomib or high-dose dexamethasone. Blood 111:968-9
Gabrea, Ana; Martelli, Maria Luisa; Qi, Ying et al. (2008) Secondary genomic rearrangements involving immunoglobulin or MYC loci show similar prevalences in hyperdiploid and nonhyperdiploid myeloma tumors. Genes Chromosomes Cancer 47:573-90

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