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PyMT-Maclow: a novel, inducible, murine model for determining the role of CD68 positive cells in breast tumor development

PyMT-Maclow: a novel, inducible, murine model for determining the role of CD68 positive cells in breast tumor development
PyMT-Maclow: a novel, inducible, murine model for determining the role of CD68 positive cells in breast tumor development
CD68+ tumor-associated macrophages (TAMs) are pro-tumorigenic, pro-angiogenic and are associated with decreased survival rates in patients with cancer, including breast cancer. Non-specific models of macrophage ablation reduce the number of TAMs and limit the development of mammary tumors. However, the lack of specificity and side effects associated with these models compromise their reliability. We hypothesized that specific and controlled macrophage depletion would provide precise data on the effects of reducing TAM numbers on tumor development. In this study, the MacLow mouse model of doxycycline-inducible and selective CD68+ macrophage depletion was crossed with the murine mammary tumor virus (MMTV)-Polyoma virus middle T antigen (PyMT) mouse model of spontaneous ductal breast adenocarcinoma to generate the PyMT-MacLow line. In doxycycline-treated PyMT-MacLow mice, macrophage numbers were decreased in areas surrounding tumors by 43%. Reducing the number of macrophages by this level delayed tumor progression, generated less proliferative tumors, decreased the vascularization of carcinomas and down-regulated the expression of many pro-angiogenic genes. These results demonstrate that depleting CD68+ macrophages in an inducible and selective manner delays the development of mammary tumors and that the PyMT-MacLow model is a useful and unique tool for studying the role of TAMs in breast cancer.
1932-6203
Rumney, Robin M.H.
fa3de9f8-b604-44e2-9e72-3e57980ce67f
Coffelt, Seth B.
e1974f46-7faa-4c56-9916-5722de1e2247
Neale, Terence A.
a82af207-8761-41d9-b074-cb081c298358
Dhayade, Sandeep
db255c29-7e70-4c91-9a12-cf7a7c02a939
Tozer, Gillian M.
c963e0e4-c1d0-43c8-a7a5-dc0a8dbe2557
Miller, Gaynor
be7ea371-6af9-442a-9ef1-11f2a46cb9b7
Rumney, Robin M.H.
fa3de9f8-b604-44e2-9e72-3e57980ce67f
Coffelt, Seth B.
e1974f46-7faa-4c56-9916-5722de1e2247
Neale, Terence A.
a82af207-8761-41d9-b074-cb081c298358
Dhayade, Sandeep
db255c29-7e70-4c91-9a12-cf7a7c02a939
Tozer, Gillian M.
c963e0e4-c1d0-43c8-a7a5-dc0a8dbe2557
Miller, Gaynor
be7ea371-6af9-442a-9ef1-11f2a46cb9b7

Rumney, Robin M.H., Coffelt, Seth B., Neale, Terence A., Dhayade, Sandeep, Tozer, Gillian M. and Miller, Gaynor (2017) PyMT-Maclow: a novel, inducible, murine model for determining the role of CD68 positive cells in breast tumor development. PLoS ONE, 12 (12), [e0188591]. (doi:10.1371/journal.pone.0188591).

Record type: Article

Abstract

CD68+ tumor-associated macrophages (TAMs) are pro-tumorigenic, pro-angiogenic and are associated with decreased survival rates in patients with cancer, including breast cancer. Non-specific models of macrophage ablation reduce the number of TAMs and limit the development of mammary tumors. However, the lack of specificity and side effects associated with these models compromise their reliability. We hypothesized that specific and controlled macrophage depletion would provide precise data on the effects of reducing TAM numbers on tumor development. In this study, the MacLow mouse model of doxycycline-inducible and selective CD68+ macrophage depletion was crossed with the murine mammary tumor virus (MMTV)-Polyoma virus middle T antigen (PyMT) mouse model of spontaneous ductal breast adenocarcinoma to generate the PyMT-MacLow line. In doxycycline-treated PyMT-MacLow mice, macrophage numbers were decreased in areas surrounding tumors by 43%. Reducing the number of macrophages by this level delayed tumor progression, generated less proliferative tumors, decreased the vascularization of carcinomas and down-regulated the expression of many pro-angiogenic genes. These results demonstrate that depleting CD68+ macrophages in an inducible and selective manner delays the development of mammary tumors and that the PyMT-MacLow model is a useful and unique tool for studying the role of TAMs in breast cancer.

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Accepted/In Press date: 9 November 2017
Published date: 8 December 2017

Identifiers

Local EPrints ID: 497398
URI: http://eprints.soton.ac.uk/id/eprint/497398
ISSN: 1932-6203
PURE UUID: eaa729b0-788b-4e90-8e1c-c6b2b7f29403
ORCID for Robin M.H. Rumney: ORCID iD orcid.org/0000-0002-4266-5962

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Date deposited: 21 Jan 2025 18:10
Last modified: 22 Aug 2025 02:13

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Contributors

Author: Robin M.H. Rumney ORCID iD
Author: Seth B. Coffelt
Author: Terence A. Neale
Author: Sandeep Dhayade
Author: Gillian M. Tozer
Author: Gaynor Miller

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