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Osteoprotegerin in Bone Metastases: Mathematical Solution to the Puzzle

Overview of attention for article published in PLoS Computational Biology, October 2012
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Title
Osteoprotegerin in Bone Metastases: Mathematical Solution to the Puzzle
Published in
PLoS Computational Biology, October 2012
DOI 10.1371/journal.pcbi.1002703
Pubmed ID
Authors

Marc D. Ryser, Yiding Qu, Svetlana V. Komarova

Abstract

Bone is a common site for cancer metastasis. To create space for their growth, cancer cells stimulate bone resorbing osteoclasts. Cytokine RANKL is a key osteoclast activator, while osteoprotegerin (OPG) is a RANKL decoy receptor and an inhibitor of osteoclastogenesis. Consistently, systemic application of OPG decreases metastatic tumor burden in bone. However, OPG produced locally by cancer cells was shown to enhance osteolysis and tumor growth. We propose that OPG produced by cancer cells causes a local reduction in RANKL levels, inducing a steeper RANKL gradient away from the tumor and towards the bone tissue, resulting in faster resorption and tumor expansion. We tested this hypothesis using a mathematical model of nonlinear partial differential equations describing the spatial dynamics of OPG, RANKL, PTHrP, osteoclasts, tumor and bone mass. We demonstrate that at lower expression rates, tumor-derived OPG enhances the chemotactic RANKL gradient and osteolysis, whereas at higher expression rates OPG broadly inhibits RANKL and decreases osteolysis and tumor burden. Moreover, tumor expression of a soluble mediator inducing RANKL in the host tissue, such as PTHrP, is important for correct orientation of the RANKL gradient. A meta-analysis of OPG, RANKL and PTHrP expression in normal prostate, carcinoma and metastatic tissues demonstrated an increase in expression of OPG, but not RANKL, in metastatic prostate cancer, and positive correlation between OPG and PTHrP in metastatic prostate cancer. The proposed mechanism highlights the importance of the spatial distribution of receptors, decoys and ligands, and can be applied to other systems involving regulation of spatially anisotropic processes.

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Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Master 8 17%
Researcher 6 13%
Student > Bachelor 4 9%
Other 4 9%
Other 10 22%
Unknown 6 13%
Readers by discipline Count As %
Engineering 8 17%
Agricultural and Biological Sciences 8 17%
Mathematics 7 15%
Medicine and Dentistry 6 13%
Biochemistry, Genetics and Molecular Biology 4 9%
Other 5 11%
Unknown 8 17%