Title |
Osteoclasts control reactivation of dormant myeloma cells by remodelling the endosteal niche
|
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Published in |
Nature Communications, December 2015
|
DOI | 10.1038/ncomms9983 |
Pubmed ID | |
Authors |
Michelle A. Lawson, Michelle M. McDonald, Natasa Kovacic, Weng Hua Khoo, Rachael L. Terry, Jenny Down, Warren Kaplan, Julia Paton-Hough, Clair Fellows, Jessica A. Pettitt, T. Neil Dear, Els Van Valckenborgh, Paul A. Baldock, Michael J. Rogers, Colby L. Eaton, Karin Vanderkerken, Allison R. Pettit, Julian M. W. Quinn, Andrew C. W. Zannettino, Tri Giang Phan, Peter I. Croucher |
Abstract |
Multiple myeloma is largely incurable, despite development of therapies that target myeloma cell-intrinsic pathways. Disease relapse is thought to originate from dormant myeloma cells, localized in specialized niches, which resist therapy and repopulate the tumour. However, little is known about the niche, and how it exerts cell-extrinsic control over myeloma cell dormancy and reactivation. In this study, we track individual myeloma cells by intravital imaging as they colonize the endosteal niche, enter a dormant state and subsequently become activated to form colonies. We demonstrate that dormancy is a reversible state that is switched 'on' by engagement with bone-lining cells or osteoblasts, and switched 'off' by osteoclasts remodelling the endosteal niche. Dormant myeloma cells are resistant to chemotherapy that targets dividing cells. The demonstration that the endosteal niche is pivotal in controlling myeloma cell dormancy highlights the potential for targeting cell-extrinsic mechanisms to overcome cell-intrinsic drug resistance and prevent disease relapse. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 57% |
Canada | 1 | 14% |
Australia | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Belgium | 1 | <1% |
Unknown | 248 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 59 | 24% |
Researcher | 42 | 17% |
Student > Master | 27 | 11% |
Student > Bachelor | 22 | 9% |
Student > Doctoral Student | 15 | 6% |
Other | 32 | 13% |
Unknown | 54 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 60 | 24% |
Medicine and Dentistry | 44 | 18% |
Agricultural and Biological Sciences | 39 | 16% |
Engineering | 12 | 5% |
Immunology and Microbiology | 9 | 4% |
Other | 24 | 10% |
Unknown | 63 | 25% |