The overall objective of this program project is to understand MM growth in the context of its interaction with the bone marrow microenvironment (ME) in order to translate and exploit this knowledge into smarter MM growth control in patients. A concerted effort by a team of basic and clinical scientists is aimed at further overcoming the tremendous obstacles posed by MM's extensive genetic heterogeneity. We hypothesize that MM subjugates various ME components, perhaps in a MM subtypespecific manner, and that such MM-induced ME imprints may become an irreversible force contributing to MM's defiance of cure. In light of our theme of growth control in MM, toward achieving cure in an increasingly higher proportion of patients, investigators of 4 projects and 5 cores will continue to collaborate in a highly integrated and synergistic fashion. Project 1 plans to achieve better growth control via risk-based treatment strategies in an effort to reduce treatment-related toxicities in low-risk disease while accelerating outcome improvement in high-risk disease. Translational work will interrogate the MM-ME interaction and elucidate, through examination of serial gene expression profiling (GEP) samples, how this interaction affects growth control. Project 2 postulates to achieve better growth control in the relapsed setting by optimizing the clinical activity of haplo-identical NK cells via combination therapy with bortezomib and CS1 antibody. Basic research will examine the antimyeloma activity of human NK cells activated/expanded with K562 cells transfected with membrane-bound interleukin-15 (IL-15) and the co-stimulatory molecule 4-1BBL, in combination with bortezomib and CS1 Ab, in a murine model. Projects 3 and 4 deal with the role of bone, disease in MM pathogenesis. Project 3 will focus on fundamental observations relevant to DKK1 suppression of Wnt/beta-catenin signaling and the interaction of beta-catenin/cadherin cell adhesion with focal lesions, osteolytic bone disease, and MM dissemination to extramedullary disease, in an effort to harness the molecular MM-ME interaction therapeutically pertinent to MM pathogenesis, allowing us to investigate growth control via another avenue (by reduction of tumor cell adhesion). Project 4 will shed light on the biological mechanisms by which osteoblasts and osteoclasts affect myeloma cell growth and dissemination. By unraveling the consequences of altered activities of osteoclasts and osteoblasts on MM dissemination, and understanding the mechanisms involved, novel therapeutic interventions for MM can be developed. This work will be accomplished with access to 5 shared resource cores.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA055819-19
Application #
8544177
Study Section
Special Emphasis Panel (ZCA1-RPRB-J (M1))
Program Officer
Merritt, William D
Project Start
2000-06-05
Project End
2014-08-31
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
19
Fiscal Year
2013
Total Cost
$3,402,629
Indirect Cost
$1,052,825
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
Rasche, L; Alapat, D; Kumar, M et al. (2018) Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma. Leukemia :
Went, Molly; Sud, Amit; Försti, Asta et al. (2018) Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. Nat Commun 9:3707
Mehdi, Syed J; Johnson, Sarah K; Epstein, Joshua et al. (2018) Mesenchymal stem cells gene signature in high-risk myeloma bone marrow linked to suppression of distinct IGFBP2-expressing small adipocytes. Br J Haematol :
Rasche, Leo; Angtuaco, Edgardo J; Alpe, Terri L et al. (2018) The presence of large focal lesions is a strong independent prognostic factor in multiple myeloma. Blood 132:59-66
Stein, Caleb K; Pawlyn, Charlotte; Chavan, Shweta et al. (2017) The varied distribution and impact of RAS codon and other key DNA alterations across the translocation cyclin D subgroups in multiple myeloma. Oncotarget 8:27854-27867
Chavan, S S; He, J; Tytarenko, R et al. (2017) Bi-allelic inactivation is more prevalent at relapse in multiple myeloma, identifying RB1 as an independent prognostic marker. Blood Cancer J 7:e535
Went, M; Sud, A; Law, P J et al. (2017) Assessing the effect of obesity-related traits on multiple myeloma using a Mendelian randomisation approach. Blood Cancer J 7:e573
McDonald, James E; Kessler, Marcus M; Gardner, Michael W et al. (2017) Assessment of Total Lesion Glycolysis by 18F FDG PET/CT Significantly Improves Prognostic Value of GEP and ISS in Myeloma. Clin Cancer Res 23:1981-1987
Rasche, Leo; Weinhold, Niels; Morgan, Gareth J et al. (2017) Immunologic approaches for the treatment of multiple myeloma. Cancer Treat Rev 55:190-199
Rasche, L; Chavan, S S; Stephens, O W et al. (2017) Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing. Nat Commun 8:268

Showing the most recent 10 out of 290 publications