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Spontaneous onset and transplant models of the Vk*MYC mouse show immunological sequelae comparable to human multiple myeloma

Overview of attention for article published in Journal of Translational Medicine, September 2016
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Title
Spontaneous onset and transplant models of the Vk*MYC mouse show immunological sequelae comparable to human multiple myeloma
Published in
Journal of Translational Medicine, September 2016
DOI 10.1186/s12967-016-0994-6
Pubmed ID
Authors

Rachel E. Cooke, Nicholas A. Gherardin, Simon J. Harrison, Hang Quach, Dale I. Godfrey, Miles Prince, Rachel Koldej, David S. Ritchie

Abstract

The Vk*MYC transgenic and transplant mouse models of multiple myeloma (MM) are well established as a research tool for anti-myeloma drug discovery. However, little is known of the immune response in these models. Understanding the immunological relevance of these models is of increasing importance as immunotherapeutic drugs are developed against MM. We set out to examine how cellular immunity is affected in Vk*MYC mouse models and compare that to the immunology of patients with newly diagnosed and relapsed/refractory MM. We found that there were significant immunological responses in mice developing either spontaneous (transgenic) or transplanted MM as a consequence of the degree of tumor burden. Particularly striking were the profound B cell lymphopenia and the expansion of CD8(+) effector memory T cells within the lymphocyte population that progressively developed with advancing disease burden, mirroring changes seen in human MM. High disease burden was also associated with increased inflammatory cytokine production by T lymphocytes, which is more fitting with relapsed/refractory MM in humans. These findings have important implications for the application of this mouse model in the development of MM immunotherapies. Trial registration LitVacc ANZCTR trial ID ACTRN12613000344796; RevLite ANZCTR trial ID NCT00482261.

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Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 23%
Researcher 5 16%
Student > Ph. D. Student 4 13%
Other 3 10%
Student > Master 3 10%
Other 3 10%
Unknown 6 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 23%
Immunology and Microbiology 6 19%
Medicine and Dentistry 5 16%
Agricultural and Biological Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 16%
Unknown 5 16%