Literature DB >> 14583463

Fluorescence imaging of multiple myeloma cells in a clinically relevant SCID/NOD in vivo model: biologic and clinical implications.

Constantine S Mitsiades1, Nicholas S Mitsiades, Ron T Bronson, Dharminder Chauhan, Nikhil Munshi, Steven P Treon, Christopher A Maxwell, Linda Pilarski, Teru Hideshima, Robert M Hoffman, Kenneth C Anderson.   

Abstract

The in vivo preclinical testing of investigational therapies for multiple myeloma (MM) is hampered by the fact that models generated to recapitulate the development of diffuse skeletal lesions after i.v. injections of tumor cells do not allow for ready detection of the exact site(s) of lesions or for comprehensive monitoring of their progression. We therefore developed an in vivo MM model in severe combined immunodeficient/nonobese diabetic mice in which diffuse MM lesions developed after tail vein i.v. injection of human RPMI-8226/S MM cells stably transfected with a construct for green fluorescent protein (GFP). Using whole-body real-time fluorescence imaging to detect autofluorescent GFP(+) MM cells (and confirming the sensitivity and specificity of these findings both histologically and by flow cytometric detection of GFP(+) cells), we serially monitored, in a cohort of 75 mice, the development and progression of MM tumors. Their anatomical distribution and pathophysiological manifestations were consistent with the clinical course of MM in human patients, i.e., hallmarked by major involvement of the axial skeleton (e.g., spine, skull, and pelvis) and frequent development of paralysis secondary to spinal lesions without significant tumor spread to lungs, liver, spleen, or kidney. This model both recapitulates the diffuse bone disease of human MM and allows for serial whole-body visualization of its spatiotemporal progression. It therefore provides a valuable in vivo system to elucidate the molecular mechanisms underlying the marked osteotropism of MM, particularly for the axial skeleton, and for assessment of in vivo activity of novel anti-MM therapeutics.

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Year:  2003        PMID: 14583463

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  36 in total

1.  Dual-reporter Imaging and its Potential Application in Tracking Studies.

Authors:  Jie Ding; Chao Wang; Pei-Cheng Li; Zhen Zhao; Cheng Qian; Cong-Xiao Wang; Yu Cai; Gao-Jun Teng
Journal:  J Fluoresc       Date:  2016-01       Impact factor: 2.217

2.  Natural killer cell lines preferentially kill clonogenic multiple myeloma cells and decrease myeloma engraftment in a bioluminescent xenograft mouse model.

Authors:  Brenna E Swift; Brent A Williams; Yoko Kosaka; Xing-Hua Wang; Jeffrey A Medin; Sowmya Viswanathan; Joaquin Martinez-Lopez; Armand Keating
Journal:  Haematologica       Date:  2012-01-22       Impact factor: 9.941

3.  Mechanisms of regulation of CXCR4/SDF-1 (CXCL12)-dependent migration and homing in multiple myeloma.

Authors:  Yazan Alsayed; Hai Ngo; Judith Runnels; Xavier Leleu; Ujjal K Singha; Costas M Pitsillides; Joel A Spencer; Teresa Kimlinger; Joanna M Ghobrial; Xiaoying Jia; Ganwei Lu; Michael Timm; Ashok Kumar; Daniel Côté; Israel Veilleux; Karen E Hedin; G David Roodman; Thomas E Witzig; Andrew L Kung; Teru Hideshima; Kenneth C Anderson; Charles P Lin; Irene M Ghobrial
Journal:  Blood       Date:  2007-04-01       Impact factor: 22.113

4.  Optical techniques for tracking multiple myeloma engraftment, growth, and response to therapy.

Authors:  Judith M Runnels; Alicia L Carlson; Costas Pitsillides; Brian Thompson; Juwell Wu; Joel A Spencer; John M J Kohler; AbdelKareem Azab; Anne-Sophie Moreau; Scott J Rodig; Andrew L Kung; Kenneth C Anderson; Irene M Ghobrial; Charles P Lin
Journal:  J Biomed Opt       Date:  2011 Jan-Feb       Impact factor: 3.170

5.  Progress and Paradigms in Multiple Myeloma.

Authors:  Kenneth C Anderson
Journal:  Clin Cancer Res       Date:  2016-11-15       Impact factor: 12.531

6.  Preclinical animal models of multiple myeloma.

Authors:  Seint T Lwin; Claire M Edwards; Rebecca Silbermann
Journal:  Bonekey Rep       Date:  2016-02-03

7.  An inhibitor of proteasome β2 sites sensitizes myeloma cells to immunoproteasome inhibitors.

Authors:  Sondra Downey-Kopyscinski; Ellen W Daily; Marc Gautier; Ananta Bhatt; Bogdan I Florea; Constantine S Mitsiades; Paul G Richardson; Christoph Driessen; Herman S Overkleeft; Alexei F Kisselev
Journal:  Blood Adv       Date:  2018-10-09

8.  Molecular and cellular effects of NEDD8-activating enzyme inhibition in myeloma.

Authors:  Douglas W McMillin; Hannah M Jacobs; Jake E Delmore; Leutz Buon; Zachary R Hunter; Val Monrose; Jie Yu; Peter G Smith; Paul G Richardson; Kenneth C Anderson; Steven P Treon; Andrew L Kung; Constantine S Mitsiades
Journal:  Mol Cancer Ther       Date:  2012-01-12       Impact factor: 6.261

9.  Establishment and exploitation of hyperdiploid and non-hyperdiploid human myeloma cell lines.

Authors:  Xin Li; Angela Pennisi; Fenghuang Zhan; Jeffrey R Sawyer; John D Shaughnessy; Shmuel Yaccoby
Journal:  Br J Haematol       Date:  2007-09       Impact factor: 6.998

10.  NOD/SCID mouse model of canine T-cell lymphoma with humoral hypercalcaemia of malignancy: cytokine gene expression profiling and in vivo bioluminescent imaging.

Authors:  M V P Nadella; W C Kisseberth; K S Nadella; N K Thudi; D H Thamm; E A McNiel; A Yilmaz; K Boris-Lawrie; T J Rosol
Journal:  Vet Comp Oncol       Date:  2008-03       Impact factor: 2.613

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