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Usage Information

Prevention of breast cancer skeletal metastases with parathyroid hormone
Srilatha Swami, Joshua Johnson, Lance A. Bettinson, Takaharu Kimura, Hui Zhu, Megan A. Albertelli, Rachelle W. Johnson, Joy Y. Wu
Srilatha Swami, Joshua Johnson, Lance A. Bettinson, Takaharu Kimura, Hui Zhu, Megan A. Albertelli, Rachelle W. Johnson, Joy Y. Wu
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Research Article Bone biology Oncology

Prevention of breast cancer skeletal metastases with parathyroid hormone

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Abstract

Advanced breast cancer is frequently associated with skeletal metastases and accelerated bone loss. Recombinant parathyroid hormone [teriparatide, PTH(1-34)] is the first anabolic agent approved in the US for treatment of osteoporosis. While signaling through the PTH receptor in the osteoblast lineage regulates bone marrow hematopoietic niches, the effects of anabolic PTH on the skeletal metastatic niche are unknown. Here, we demonstrate, using orthotopic and intratibial models of 4T1 murine and MDA-MB-231 human breast cancer tumors, that anabolic PTH decreases both tumor engraftment and the incidence of spontaneous skeletal metastasis in mice. Microcomputed tomography and histomorphometric analyses revealed that PTH increases bone volume and reduces tumor engraftment and volume. Transwell migration assays with murine and human breast cancer cells revealed that PTH alters the gene expression profile of the metastatic niche, in particular VCAM-1, to inhibit recruitment of cancer cells. While PTH did not affect growth or migration of the primary tumor, it elicited several changes in the tumor gene expression profile resulting in a less metastatic phenotype. In conclusion, PTH treatment in mice alters the bone microenvironment, resulting in decreased cancer cell engraftment, reduced incidence of metastases, preservation of bone microarchitecture and prolonged survival.

Authors

Srilatha Swami, Joshua Johnson, Lance A. Bettinson, Takaharu Kimura, Hui Zhu, Megan A. Albertelli, Rachelle W. Johnson, Joy Y. Wu

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Usage data is cumulative from February 2025 through February 2026.

Usage JCI PMC
Text version 1,395 245
PDF 160 50
Figure 539 2
Table 150 0
Supplemental data 35 15
Citation downloads 99 0
Totals 2,378 312
Total Views 2,690
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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