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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PAR</journal-id><journal-title-group><journal-title>Proceedings of Anticancer Research</journal-title></journal-title-group><issn>2208-3545</issn><eissn>2208-3553</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/par.v8i6.8882</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research Progress on Mouse Models of Breast Cancer Metastasis</title><url>https://artdesignp.com/journal/PAR/8/6/10.26689/par.v8i6.8882</url><author>ZhaoMinjun,QiaoHaizhi,ZhangJinku</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>6</issue><history><date date-type="pub"><published-time>2024-11-22</published-time></date></history><abstract>Breast cancer metastasis is a major cause of treatment failure and patient mortality. Mouse tumor models largely replicate the pathophysiological processes of human tumors. Establishing mouse models of breast cancer metastasis helps to elucidate metastatic mechanisms, and in vivo imaging techniques enable dynamic monitoring of tumor cell metastasis in animals. This paper summarizes the mechanisms of breast cancer metastasis, the development, and application of various mouse breast cancer distant metastasis models over the past decade, and evaluates the characteristics and efficacy of each model to provide references for future experimental studies.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Sung H, Ferlay J, Siegel RL, et al., 2021, Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. 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