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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1540610</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Zebrafish xenografts in breast cancer research</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Rong</surname>
<given-names>Xingyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Han</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Xiyuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2959921/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Xiaoke</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ye</surname>
<given-names>Yingchun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Chenwen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nian</surname>
<given-names>Siji</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1797888/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liang</surname>
<given-names>Chengbi</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yuan</surname>
<given-names>Qing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/690705/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University</institution>, <addr-line>Luzhou, Sichuan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Stomatology, Southwest Medical University</institution>, <addr-line>Luzhou, Sichuan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Cardiovascular Research, Southwest Medical University</institution>, <addr-line>Luzhou, Sichuan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Component Department, Luzhou Central Blood Station</institution>, <addr-line>Luzhou, Sichuan</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Julie Decock, Hamad bin Khalifa University, Qatar</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Woong Young So, National Institutes of Health (NIH), United States</p>
<p>Gabriela Vazquez Rodriguez, BioReperia AB, Sweden</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Qing Yuan, <email xlink:href="mailto:qingyuan@swmu.edu.cn">qingyuan@swmu.edu.cn</email>; Chengbi Liang, <email xlink:href="mailto:1830038969@qq.com">1830038969@qq.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1540610</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Rong, Chen, Guo, Sun, Li, Ye, Li, Nian, Liang and Yuan</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Rong, Chen, Guo, Sun, Li, Ye, Li, Nian, Liang and Yuan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Breast cancer (BC) tops the list of all malignancies diagnosed in women worldwide, with many patients diagnosed only at the metastatic stage. Current therapeutic paradigms integrating early detection modalities and multimodal treatment strategies have improved outcomes, yet persistent challenges in managing advanced/metastatic cases result in suboptimal 5-year survival rates. Therefore, it is imperative to develop novel therapeutic strategies for BC. Zebrafish breast cancer models have received great attention in this regard, and this review highlights recent advances in BC research involving these zebrafish models. <italic>In vivo</italic> research using zebrafish models is becoming increasingly valuable for studying BC invasion and metastasis, tumor angiogenesis, and screening for novel therapeutic molecules. These studies have provided insights into the molecular mechanisms of BC, potential drug targets and their efficacy and toxicity, and the application of zebrafish in personalized medicine research. Against this background, this review provides a systematic analysis of the recent advances in zebrafish BC model research regarding brain metastasis, bone metastasis, tumor angiogenesis, and drug screening. The review also critically evaluates the strengths and limitations of the zebrafish model organism, while delineating the future research directions in this field.</p>
</abstract>
<kwd-group>
<kwd>zebrafish xenograft model</kwd>
<kwd>breast cancer</kwd>
<kwd>invasion</kwd>
<kwd>metastasis</kwd>
<kwd>angiogenesis</kwd>
<kwd>drug screening</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="124"/>
<page-count count="13"/>
<word-count count="6384"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Breast cancer (BC) has replaced lung cancer as the most frequently diagnosed cancer in women globally. The International Agency for Research on Cancer (IARC) estimates that approximately 19.3 million new cancer cases and 9.7 million cancer-related deaths occurred globally in 2022 (<xref ref-type="bibr" rid="B1">1</xref>). Metastatic progression remains a primary contributor to mortality in breast cancer patients, frequently demonstrating resistance to conventional therapies. The American Cancer Society and the National Cancer Institute reported 313,510 new breast cancer in 2024, with approximately 42,780 resulting in mortality (<xref ref-type="bibr" rid="B2">2</xref>). Triple-negative breast cancer (TNBC), characterized by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression, represents the most aggressive breast cancer subtype. Accounting for 10&#x2013;20% of all breast cancer cases (<xref ref-type="bibr" rid="B3">3</xref>), TNBC exhibits aggressive features including tumor heterogeneity, rapid metastasis to distant organs (particularly the brain, lungs, and bone) (<xref ref-type="bibr" rid="B4">4</xref>), and a high recurrence rate. Unlike hormone receptor-positive breast cancer (HR+ BC)&#x2014;the most common subtype (<xref ref-type="bibr" rid="B5">5</xref>)&#x2014;TNBC does not respond to endocrine or HER2-targeted therapies, and its treatment primarily relies on chemotherapy (<xref ref-type="bibr" rid="B6">6</xref>). In contrast, HR+ BC typically progresses more slowly, driven by hormonal signaling pathways (<xref ref-type="bibr" rid="B5">5</xref>), and benefits from well-established targeted treatment options such as endocrine therapies (<xref ref-type="bibr" rid="B7">7</xref>). This biological divergence extends to preclinical modeling: The scarcity of clear therapeutic targets in TNBC necessitates high-throughput drug screening using zebrafish models (<xref ref-type="bibr" rid="B8">8</xref>), whereas HR+ BC often fails to develop a typical phenotype in zebrafish. Furthermore, modeling HR+ BC resistance mechanisms (e.g., endocrine therapy resistance)&#x2014;which involve significantly more complex host-tumor interactions (<xref ref-type="bibr" rid="B9">9</xref>)&#x2014;is inherently limited in zebrafish systems. These characteristics pose significant therapeutic challenges. Zebrafish models have emerged as valuable tools for BC (especially TNBC) research, enabling the identification of genes underlying invasive metastasis and tumor angiogenesis, while facilitating the development of targeted therapies.</p>
<p>Over the past two decades, zebrafish (Danio rerio) has developed into an indispensable model organism for cancer research. Through the construction of various transgenic lines, its application value has been significantly increased, especially in the real-time monitoring of tumor angiogenesis and the study of tumor immune microenvironment, which demonstrates its unique advantages. The zebrafish embryonic vascular system is highly conserved evolutionarily, and its functional circulatory system can be constructed within 24 hours after fertilization (<xref ref-type="bibr" rid="B10">10</xref>). The optically transparent nature of embryonic tissues provides an ideal window for dynamic observation of developmental biological processes and pathological changes. By fluorescently labeling vascular endothelial cells, researchers can observe the early stages of tumorigenesis with high spatial and temporal resolution, tracking the behavior of neovascularization (<xref ref-type="bibr" rid="B10">10</xref>). Conversely, a dual-fluorescent-labeling system for tumor cells and host cells enables precise dynamic analysis at the single-cell level during metastasis (<xref ref-type="bibr" rid="B11">11</xref>). In addition, the high fecundity of zebrafish, the <italic>in vitro</italic> developmental characteristics of the embryo (<xref ref-type="bibr" rid="B10">10</xref>), and the tiny size of the zebrafish provide significant convenience for experimental manipulation. Together, these features enable the model to maintain a highly developmentally synchronized population of embryos in a limited space. Based on its cost-effectiveness, developmental homogeneity and miniaturization, the zebrafish system has become an ideal platform for high-throughput screening for potency assessment and toxicity testing of anticancer drugs. In this review, the multidimensional application of the zebrafish model in BC research will be systematically elaborated, focusing on its research progress in the areas of metastasis and invasion mechanism, tumor angiogenesis regulation and preclinical drug screening.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Establishment of zebrafish breast cancer model</title>
<p>Conventionally, genetically engineered murine (GEM) models and human cancer cell-derived xenograft models in immunodeficient strains (e.g., NOD-SCID) (<xref ref-type="bibr" rid="B12">12</xref>) have served as gold-standard platforms for preclinical evaluation of anticancer therapy safety and efficacy. Nevertheless, murine models present limitations (<xref ref-type="bibr" rid="B12">12</xref>) including prolonged experimental timelines and technical constraints that hinder high-throughput drug screening and comprehensive toxicity profiling. The zebrafish model has consequently emerged as a transformative platform in cancer research, demonstrating unique capabilities in revolutionizing precision oncology and advancing personalized medicine approaches.</p>
<p>Zebrafish cancer models are constructed using three main strategies: genetic engineering modification, chemically induced carcinogenesis and xenograft models. In the genetic engineering strategy, researchers have induced tumorigenesis by targeting and integrating oncogenic gene expression vectors or using targeted knockdown of tumor suppressor genes mediated by the CRISPR/Cas9 system (<xref ref-type="bibr" rid="B13">13</xref>). However, this model system has translational medicine limitations, mainly reflected in the lack of BRCA1 direct homologous gene in the zebrafish genome and only 22% amino acid sequence identity between its brac2 gene and human BRCA2 (<xref ref-type="bibr" rid="B14">14</xref>). To break through this limitation, the research team developed a morpholino oligonucleotide-mediated BRCA2 gene silencing model and a CRISPR knockout line, and these model systems provide key experimental evidence for resolving the DNA damage repair mechanism during breast cancer development (<xref ref-type="bibr" rid="B15">15</xref>). Chemically induced carcinogenesis allows for the establishment of mechanistically well-defined tumor models in multiple organ systems such as the liver, pancreas, gastrointestinal tract, epidermis, musculoskeletal system, vasculature, and testis through the exposure of specific carcinogens (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). The lack of mammary organs to induce breast cancer in zebrafish can be compensated for by xenotransplantation.</p>
<p>Xenotransplantation serves as the primary methodology for developing zebrafish breast cancer models (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), involving engraftment of foreign tissues across species barriers. Embryonic xenotransplantation exploits the immunologically privileged window prior to 28 days post-fertilization, when adaptive immunity remains undeveloped (<xref ref-type="bibr" rid="B21">21</xref>), effectively preventing graft rejection. The miniature scale of zebrafish embryos permits tumor engraftment with as few as hundreds of cells, enabling single-cell resolution tracking of xenograft dynamics via intravital imaging. This low cellular inoculum closely recapitulates early tumorigenic events (<xref ref-type="bibr" rid="B22">22</xref>), mirroring initial stages of human cancer progression. This unique attribute makes zebrafish models particularly adept at modeling rare cell populations, including cancer stem cells (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>) and circulating tumor cells (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>), with unprecedented spatiotemporal resolution. Cell dosage represents a critical experimental parameter requiring optimization in xenotransplantation protocols. Current protocols use cancer cell injections of 25-2,000 cells, with most research teams favoring injections of 50-200 (glioblastoma) (<xref ref-type="bibr" rid="B28">28</xref>) or 100-200 (colorectal cancer) (<xref ref-type="bibr" rid="B29">29</xref>) cells. We summarized the number of cells commonly used for different injection sites for most of the studies in this review as 200&#x2013;300 for the yolk sac, 400 for the PVS, and 300&#x2013;500 for the Duct of Cuvier. Vanda P&#xf3;voa et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>) used a zebrafish xenograft model to study the implantation efficiency of multiple human mammary glands. Breast cancer cells Hs578T showed high implantation rates (~95% implantation rate) whereas the implantation rate of MDA-MB-468 was less proliferative and less apoptotic. In actual studies, the number of cells implanted in successful xenografts varies by cell line, and optimization of each cell line is usually required (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Zebrafish xenograft model (plot formation using <ext-link ext-link-type="uri" xlink:href="http://www.Biorender.com">Biorender.com</ext-link>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1540610-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating a tumor study process. A tumor is extracted via surgery or biopsy, cut into small pieces, and cultured in a dish. It is then fluorescently labeled and injected into the yolk sac/PVS of a fish at 48 hours post-fertilization, creating a tumor model. This model observes tumor growth, invasion, metastasis, and angiogenesis. Outcomes are analyzed using drug screening and confocal microscopy.</alt-text>
</graphic>
</fig>
<p>Zebrafish xenograft models provide versatile implantation sites including: yolk sac (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>), perivitelline space (PVS), common cardinal vein (CCV) (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>), and hindbrain ventricle (HBV). The yolk sac provides a lipid-rich microenvironment (cholesterol, phosphatidylcholine, triglycerides) (<xref ref-type="bibr" rid="B33">33</xref>) that enables high-contrast visualization of fluorescently labeled cells through standardized protocols. The yolk sac is the site of choice for the study of survival, cell division, proliferation and migration (<xref ref-type="bibr" rid="B34">34</xref>). This lipid matrix not only sustains xenograft viability but also potentiates tumor proliferation through nutrient enrichment. The perivitelline space (PVS), located between the periderm and the yolk syncytial layer, serves as a key site for xenografting cancer cells in zebrafish embryos. This model enables real-time study of neoangiogenesis dynamics and metastatic cascades (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>), as well as quantitative assessment of primary tumor regression in response to therapies (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Despite its experimental advantages, PVS microinjection requires advanced technical proficiency compared to yolk sac procedures (<xref ref-type="bibr" rid="B39">39</xref>). Common cardinal vein (CCV) or duct of Cuvier injection enables direct intravascular delivery (<xref ref-type="bibr" rid="B40">40</xref>) of tumor cells, facilitating real-time monitoring of metastatic processes (<xref ref-type="bibr" rid="B41">41</xref>). This technique demands exceptional microsurgical expertise, particularly in adult zebrafish models with reduced vascular lumen diameters (<xref ref-type="bibr" rid="B42">42</xref>). The hindbrain ventricle (HBV), characterized by dense vascularization, provides an optimal platform for investigating hematogenous metastasis mechanisms (<xref ref-type="bibr" rid="B43">43</xref>). However, the procedure demands submicron-level spatial precision during microinjection, as technical inaccuracies may induce structural damage to adjacent neural architectures. Optimal site selection requires careful consideration of microenvironmental relevance versus technical feasibility, depending on specific research objectives (e.g., metastatic mechanisms vs. high-throughput drug screening).</p>
<p>Xenografts originate from two primary sources: established cancer cell lines or patient-derived specimens (PDX, Patient-Derived Xenografts) obtained through surgical resection or biopsy. Standard preclinical workflows predominantly employ commercially available immortalized cell lines for tumor model establishment. The zebrafish xenograft literature documents multiple BC cell line options, necessitating careful selection based on specific research objectives. TNBC studies demonstrate preferential use of MDA-MB-231 (58% prevalence) (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>), followed by MDA-MB-468 (22%) (<xref ref-type="bibr" rid="B44">44</xref>), with BT549, CAL-148, HCC38, HCC70, MDA-MB-436, and MDA-MB-453 collectively accounting for &lt;20% utilization. However, chronic 2D culture on plastic substrates coupled with repeated freeze-thaw cycles drives genetic drift and phenotypic convergence, compromising clinical translatability of findings (<xref ref-type="bibr" rid="B41">41</xref>). These limitations underscore the necessity of PDX models that preserve original tumor heterogeneity and drug response profiles. Contemporary precision oncology prioritizes individualized therapeutic strategies over conventional subtype classification, driven by recognition of intra-/inter-tumoral heterogeneity. Emerging PDX-zebrafish platforms now enable <italic>in vivo</italic> assessment of tumor progression dynamics and drug sensitivity profiles, directly informing personalized treatment regimens. Innovative approaches incorporating three-dimensional (3D) spheroid models (<xref ref-type="bibr" rid="B45">45</xref>) further enhance physiological relevance. Ambrosio et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>) demonstrated that high-glucose (HG) conditions potentiate mammary adipose tissue-derived mesenchymal stromal/stem cell (MAT-MSC)-mediated BC cell invasion through zebrafish xenograft studies. Zebrafish xenografts of HG-primed MCF7/MAT-MSC spheroids exhibited significantly increased metastatic dissemination, confirming microenvironment-mediated pro-invasive crosstalk. These advances position zebrafish models as transformative tools in precision oncology research.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Application of zebrafish breast cancer model</title>
<p>The standard workflow for utilizing zebrafish models in breast cancer (BC) research involves dissociating tumor cells into single-cell suspensions, labeling them with CM-Dil (red fluorescence) (<xref ref-type="bibr" rid="B11">11</xref>), and microinjecting the labeled cells into target sites (e.g., yolk sac, perivitelline space) of anesthetized <italic>Tg(fli1a:EGFP)</italic> embryos (<xref ref-type="bibr" rid="B46">46</xref>). Tumor burden is quantified pre- and post-treatment via semi-automated fluorescence intensity segmentation (i.e., FIJI/ImageJ) of confocal microscopy images (<xref ref-type="bibr" rid="B47">47</xref>). Metastatic progression is assessed through 3D reconstruction of Z-stacked image series and quantification of the number of disseminated tumor cells to the caudal hematopoietic plexus (<xref ref-type="bibr" rid="B48">48</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>). Key quantitative endpoints include: (1) Tumor volume (mm&#xb3;), calculated from XYZ-axis measurements; (2) Metastatic index (scored 0&#x2013;4); (3) Angiogenic sprouting density (vessels/mm&#xb2;); (4) Kaplan-Meier survival analysis with median survival duration. The zebrafish model&#x2019;s high-throughput compatibility and optical transparency establish it as a premier platform for <italic>in vivo</italic> investigation of metastatic cascades, neovascular dynamics, and preclinical drug efficacy.</p>
<sec id="s3_1">
<label>3.1</label>
<title>Invasion and metastasis of tumor cells</title>
<p>Metastatic dissemination constitutes a pathobiological cascade involving discrete yet interconnected molecular and cellular events (<xref ref-type="bibr" rid="B51">51</xref>). Deciphering the molecular drivers of metastatic competence enables rational development of targeted therapies and optimization of therapeutic strategies. TNBC is uniquely clinically aggressive, manifesting itself in early and high frequency of distant metastases, with a particular predilection for metastases to the lungs, brain, and skeletal system (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B52">52</xref>). To dissect these mechanisms, sophisticated metastasis models in zebrafish now permit high-resolution interrogation of stromal determinants and molecular mediators governing metastatic tropism, leveraging advanced live imaging and single-cell tracking technologies (<xref ref-type="bibr" rid="B53">53</xref>).</p>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Zebrafish disease model for breast cancer brain metastasis</title>
<p>Zebrafish transparent embryos facilitate real-time observation of tumor cell-blood-brain barrier (BBB) interactions, while their BBB structure exhibits high conservation with humans (<xref ref-type="bibr" rid="B54">54</xref>).Current treatment options for breast cancer with brain metastasis remain limited, as the molecular mechanisms underlying breast cancer cell infiltration into the brain are incompletely understood. The nuclear respiratory factor 1 (NRF1) transcription factor has been shown to exhibit high activity in various human tumors, with aberrant expression contributing to the acquisition of breast cancer stem cell (BCSC) properties (<xref ref-type="bibr" rid="B55">55</xref>). Inhibitor of differentiation 3 (ID3) is a transcriptional regulatory protein that induces pluripotent endothelial stem cells (ESCs). Zebrafish embryo xenograft experiments revealed that ID3-overexpressing ESCs not only support BCSC tumor spheroid growth but also direct these spheroids toward the zebrafish neural crest. These findings reveal a novel role for the ID3 and NRF1 (<xref ref-type="bibr" rid="B56">56</xref>), wherein ID3-expressing ESCs facilitate the homing of NRF1-expressing BCSCs to metastatic niches, likely promoting colonization, survival, and proliferation. This mechanistic insight provides critical foundations for preclinical evaluation of NRF1/ID3-targeting agents to prevent cerebral metastasis. Notably, TNBC frequently progresses to leptomeningeal metastasis, a condition with limited therapeutic options and poor prognosis, partly due to the absence of representative animal models. Gopal et&#xa0;al. (<xref ref-type="bibr" rid="B57">57</xref>) established the first triple-negative leptomeningeal disease (TNLMD) zebrafish model using translucent <italic>casper (roy-/-; nacre-/-)</italic> embryos, in which cells were microinjected into the fourth ventricle, followed by microscopic and histochemical analyses to confirm intracranial localization. Quantification of fluorescent TNBC xenografts via corrected total cell fluorescence (CTCF) analysis enabled time-resolved monitoring of tumor proliferation and secondary migration, with doxorubicin treatment suppressing proliferation and inducing apoptosis. These results validate the zebrafish TNLMD model as a powerful platform for multimodal analysis of TNBC progression and drug responses in leptomeningeal disease. Emerging therapeutic strategies include targeting the CD2/CD27 axis to inhibit M2 macrophage polarization in metastatic microenvironments (<xref ref-type="bibr" rid="B58">58</xref>), and disrupting the MUC5AC/cMET/CD44v6 metastasis cascade. Single-cell sequencing has further identified MUC5AC overexpression in HER2+ brain metastatic lesions, correlating with adverse patient outcomes (<xref ref-type="bibr" rid="B59">59</xref>). The integration of zebrafish models into drug discovery pipelines for breast cancer brain metastasis promises to accelerate therapeutic development and improve clinical management.</p>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Zebrafish xenograft model for breast cancer with bone metastasis</title>
<p>Approximately 70% of patients with metastatic breast cancer develop bone metastases (<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>), and their 5-year survival rate is significantly reduced to 10-29% (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>), with treatment resistance (<xref ref-type="bibr" rid="B66">66</xref>) being the main cause of poor prognosis. PDX models represent an emerging strategy to recapitulate clinical therapeutic responses. Mercatali et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>) cultured primary bone metastasis cultures from a 67-year-old patient, subsequently microinjecting these cells into 2-dpf <italic>Tg(kdrl:mCherry)</italic> zebrafish via the duct of Cuvier to assess metastatic behavior. CFSE green fluorescent labeling provided superior phenotypic resolution compared to conventional CM-DiI red staining in this model system. The PDX cells demonstrated vascular extravasation competence, ultimately colonizing the caudal hematopoietic tissue (CHT). These findings validate PDX-zebrafish models as transformative tools for clinical-translational metastasis research. SCUBE2 expression and secretion are associated with osteoblast differentiation and bone metastasis in human tumors, and both targeting Hedgehog signaling with Sonidegib and targeting SCUBE2 with neutralizing antibodies can effectively inhibit bone metastasis in multiple metastasis models (<xref ref-type="bibr" rid="B67">67</xref>). The zebrafish transplantation model can mimic the colonization process of breast cancer cells in bone tissue, and it is feasible to screen anti-bone metastasis drugs (e.g. neutralizing antibody targeting SCUBE2). While zebrafish xenograft models provide valuable insights into tumor cell migration to hematopoietic niches, it is essential to clarify their limitations in modeling human bone metastasis. Embryonic/larval zebrafish (&#x2264;7 dpf) lack mature mineralized bone structures (<xref ref-type="bibr" rid="B68">68</xref>). Bone mineralization density&#x2014;a critical determinant of breast cancer osteotropism (<xref ref-type="bibr" rid="B69">69</xref>)&#x2014;remains negligible in these stages, as quantified by micro-CT and Alizarin red staining (<xref ref-type="bibr" rid="B68">68</xref>). Consequently, models relying on the <italic>caudal hematopoietic plexus</italic> (CHP) primarily reflect hematopoietic niche colonization rather than true bone metastasis.</p>
<p>In recent years, a new generation of bone metastasis models based on 3D constructs (including tumor spheroids, organoids, and bioscaffolds) (<xref ref-type="bibr" rid="B70">70</xref>) has attracted much attention. These models effectively overcome the inherent shortcomings of traditional two-dimensional culture systems (lack of three-dimensional cellular microenvironment) and animal models (high cost, ethical controversy, and physiological differences between species), and provide a more physiologically relevant experimental platform for the study of breast cancer bone metastasis. The research team successfully constructed a 3D nanoclay-based bone metastasis <italic>in vitro</italic> model by integrating human-derived MSCs with breast cancer cell lines (e.g., MCF-7, MDA-MB-231) or patient-derived cell lines (NT013, NT023) (<xref ref-type="bibr" rid="B71">71</xref>). This model system can assess the metastatic potential of individualized breast cancer subtypes, and provide an efficient technical means for personalized drug screening in advanced breast cancer. Ravi et&#xa0;al. (<xref ref-type="bibr" rid="B72">72</xref>) also utilized this nanoclay scaffold platform to reveal, for the first time, the inhibitory effect of Rhodiola on breast cancer bone metastasis. The experimental data showed that its active components selectively induced apoptosis in bone-metastatic breast cancer cells while maintaining normal bone tissue activity, indicating its potential value as a targeted therapeutic agent for bone metastasis. It is worth noting that the integration and application of the zebrafish model (with the advantage of <italic>in vivo</italic> dynamic monitoring) and the 3D model (with the ability to reconstruct the pathological microenvironment) is expected to realize a breakthrough of technological complementarity in the field of analyzing the mechanism of breast cancer bone metastasis and evaluating the efficacy of drugs.</p>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>Analysis of circulating tumor cells in patients with metastatic breast cancer</title>
<p>Circulating tumor cells (CTCs) and CTC clusters play pivotal roles in metastatic cascade through their detachment from primary tumors, survival in circulation, and targeted colonization. <italic>In vitro</italic> CTC models and <italic>in vivo</italic> metastasis models synergistically facilitate mechanistic investigations into metastatic cell behavior and secondary tumor formation. Martinez-Pena et&#xa0;al. (<xref ref-type="bibr" rid="B73">73</xref>) demonstrated that CTC clusters exhibit superior survival capacity and proliferative potential compared to single CTCs via integrated breast cancer models combining single CTC/CTC cluster simulations and zebrafish embryo xenografts, with molecular mechanisms linked to cell cycle pathway activation and stemness-associated gene upregulation. However, current cell models fail to fully recapitulate patient-derived CTC heterogeneity. Additionally, efficient capture and isolation of CTCs/clusters from cancer patient blood remains technically challenging. To overcome the technical challenges in isolating rare CTC populations, Reinhardt&#x2019;s team (<xref ref-type="bibr" rid="B26">26</xref>) developed DanioCTC, an integrated platform combining diagnostic leukapheresis, Parsortix&#x2122; microfluidics, FACS sorting, and CellCelector&#x2122; micromanipulation for high-purity CTC enrichment from metastatic breast cancer patients. In the DanioCTC pipeline, purified CTCs are xenotransplanted into the Cuvier ducts of 2-dpf <italic>Tg(osx:mCherry)</italic> zebrafish embryos, enabling real-time tracking of metastatic dissemination. DanioCTC represents a breakthrough in studying individualized and rare CTC subpopulations during metastatic dissemination, significantly advancing our understanding of metastatic breast cancer biology and enabling targeted therapeutic development. Notably, CTC clusters are emerging as critical mediators of metastasis. Elucidating their molecular regulatory networks and microenvironmental interactions may unlock novel therapeutic strategies against metastatic progression.</p>
</sec>
<sec id="s3_1_4">
<label>3.1.4</label>
<title>TGF-&#x3b2; family signaling in breast cancer progression</title>
<p>TGF-&#x3b2; exhibits a paradoxical role in breast cancer pathogenesis: During early tumorigenesis, it exerts growth-suppressive effects on normal and premalignant mammary epithelium, whereas advanced malignancies develop resistance to these tumor-suppressive signals, enabling TGF-&#x3b2; to drive oncogenic progression (<xref ref-type="bibr" rid="B74">74</xref>). This functional switch enables TGF-&#x3b2; to promote metastasis through both cell-autonomous mechanisms inducing epithelial-mesenchymal transition/EMT) and microenvironmental reprogramming [mediating immune evasion (<xref ref-type="bibr" rid="B75">75</xref>) and neoangiogenesis (<xref ref-type="bibr" rid="B76">76</xref>)]. Li et&#xa0;al. (<xref ref-type="bibr" rid="B77">77</xref>) demonstrated through zebrafish xenotransplantation that TGF-&#x3b2; signaling orchestrates breast cancer cell intravasation/extravasation dynamics and angiogenic niche formation. In their experimental paradigm, mCherry-labeled MDA-MB-231 cells were microinjected into the PVS or Cuvier ducts of <italic>Casper</italic> (roy<sup>-/-</sup>;nacre<sup>-/-</sup>) embryos with ubiquitous enhanced green fluorescent protein (EGFP) expression in vasculature, allowing real-time tracking of metastatic cell behavior and tumor-induced vasculogenesis via confocal time-lapse imaging. This methodology establishes zebrafish xenotransplantation as a robust platform for interrogating TGF-&#x3b2;&#xa0;pathway interventions on metastatic dissemination and tumor vascularization.</p>
</sec>
<sec id="s3_1_5">
<label>3.1.5</label>
<title>CXCR4-CXCL12 axis in early TNBC metastasis</title>
<p>The CXCR4-CXCL12 chemokine axis directs cell migration during physiological and pathological processes, including breast cancer metastasis. Despite ongoing clinical trials targeting this axis, no TNBC-specific CXCR4 inhibitors have achieved clinical translation, highlighting the need for improved preclinical models. Tulotta et&#xa0;al. (<xref ref-type="bibr" rid="B78">78</xref>) employed zebrafish TNBC xenografts to reveal evolutionarily conserved ligand-receptor cross-reactivity: Human CXCR4<sup>+</sup> tumor cells primed metastatic niche formation through engagement of zebrafish CXCL12 homologs at distal sites. This interspecies compatibility enabled pharmacological validation using IT1t - a small-molecule CXCR4 antagonist, which significantly reduced metastatic burden <italic>in vivo</italic> via disrupting CXCL12-guided chemotaxis. Their work not only validates zebrafish models for CXCR4 inhibitor screening but also provides mechanistic proof-of-concept for axis-targeted therapy in TNBC.</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Tumor angiogenesis</title>
<p>The zebrafish xenotransplantation model capitalizes on its physiologically simplified circulatory system, optical transparency during embryogenesis, and transgenic fluorescent vascular reporters to enable real-time visualization of tumor-associated angiogenesis. Standardized protocols involve microinjecting tumor cells into 2-day post-fertilization (dpf) embryos, followed by longitudinal quantification of angiogenic activity (<xref ref-type="bibr" rid="B35">35</xref>). <italic>In vivo</italic> confocal imaging enables dynamic tracking of angiogenic mechanisms, including sprouting angiogenesis and directional endothelial migration (<xref ref-type="bibr" rid="B79">79</xref>). Clinically approved anti-angiogenic agents predominantly target the VEGF pathway, which is a key regulator of pathological angiogenesis due to its mitogenic and chemotactic effects on endothelial cells (<xref ref-type="bibr" rid="B80">80</xref>&#x2013;<xref ref-type="bibr" rid="B82">82</xref>). Nevertheless, the spatiotemporal coordination between xenograft-derived pro-angiogenic signals and host immune cell interactions remains incompletely mapped. Zebrafish macrophages have previously been shown to be required for inflammatory lymphangiogenesis and expression of pro-angiogenic VEGF ligands (<xref ref-type="bibr" rid="B83">83</xref>). Britto et&#xa0;al. (<xref ref-type="bibr" rid="B84">84</xref>) employed a nitroreductase-mediated approach to ablate macrophages and neutrophils, with subsequent quantitative assessment of graft vascularization using angiogenesis scoring metrics. The ablation of macrophages, but not neutrophils, caused a strong reduction in tumor xenograft vascularization and time-lapse imaging demonstrated that tumor xenograft macrophages directly associated with the migrating tip of developing tumor blood vessels. Macrophages were also found to be required for angiogenesis in xenografts secreting VEGFA or overexpressing zebrafish VEGFAA, suggesting that zebrafish macrophages enhance VEGFA-driven tumor angiogenesis. The importance of macrophages for angiogenesis suggests that this model could be used to further investigate the interaction between myeloid cells and tumor angiogenesis. To investigate pro-angiogenic niche effects, Ghajar&#xa0;et&#xa0;al. (<xref ref-type="bibr" rid="B85">85</xref>) utilized mtp-null mutants&#x2014;exhibiting ectopic&#xa0;subintestinal plexus hypervascularization at 3.5 dpf&#x2014;as microenvironmental amplifiers for tumor engraftment studies. mCherry-labeled MDA-MB-231 cells were microinjected into the subintestinal space (SIS) of WT versus <italic>mtp<sup>-/-</sup>
</italic> mutants. <italic>mtp<sup>-/-</sup>
</italic> mutants displayed 4-fold higher neovascular bud density post-injection compared to WT controls. While WT-engrafted tumors showed limited expansion, <italic>mtp<sup>-/-</sup>
</italic> mutants supported aggressive perivascular tumor growth, particularly at neovascular branch points. Collectively, these data validate the zebrafish xenograft platform as an exceptional model for dissecting tumor angiogenesis dynamics.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Cancer drug screening</title>
<p>While conventional cell-based assays remain the mainstay for initial anti-tumor drug evaluation, their predictive validity is constrained by the absence of physiological context (e.g., vascular networks, immune components), resulting in high attrition rates during clinical translation. In contrast, vertebrate models provide holistic assessment of therapeutic efficacy, organ-specific toxicity profiles, and pharmacokinetic/pharmacodynamic (PK/PD) parameters, yet murine (<xref ref-type="bibr" rid="B12">12</xref>) and primate models prove economically prohibitive for large-scale drug screening. The zebrafish PDX platform uniquely combines high-throughput capability (enabled by rapid embryogenesis, translucent body wall, and optical clarity) with mammalian-relevant pathophysiology, delivering clinically actionable drug sensitivity data within 7 days (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B86">86</xref>) - 5-fold faster than murine xenografts. This model has successfully validated compounds targeting angiogenesis, invasion, and metastasis in BC (examples provided in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), with emerging agents like atypical cannabinoids (<xref ref-type="bibr" rid="B87">87</xref>) showing potent activity against taxane-resistant phenotypes and providing new mechanistic insights into chemoresistance reversal.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Therapeutic molecules screened using the zebrafish xenograft model.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Drug name</th>
<th valign="middle" align="center">Target of action</th>
<th valign="middle" align="center">Effects</th>
<th valign="middle" align="center">BC cell types</th>
<th valign="middle" align="center">Injection site</th>
<th valign="middle" align="center">Number of cells</th>
<th valign="middle" align="center">Incubation temperature</th>
<th valign="middle" align="center">Zebrafish line</th>
<th valign="middle" align="center">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Curcumin</td>
<td valign="middle" align="center">BCSC</td>
<td valign="middle" align="center">antiproliferation</td>
<td valign="middle" align="center">BT474</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">500</td>
<td valign="middle" align="center">28&#xb0;C/34&#xb0;C</td>
<td valign="middle" align="center">WT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B23">23</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Gomisin M2</td>
<td valign="middle" align="center">BCSC</td>
<td valign="middle" align="center">antiproliferation</td>
<td valign="middle" align="center">MDA-MB-231<break/>HCC1806</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">200-300</td>
<td valign="middle" align="center">34&#xb0;C</td>
<td valign="middle" align="center">WT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">PL-NP</td>
<td valign="middle" align="center">BCSC</td>
<td valign="middle" align="center">antiproliferation</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">PVS</td>
<td valign="middle" align="center">400</td>
<td valign="middle" align="center">32&#xb0;C</td>
<td valign="middle" align="center">Tg (kdrl:EGFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B25">25</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">atypical cannabinoid</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">antiproliferation</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">75-150</td>
<td valign="middle" align="center">34&#xb0;C</td>
<td valign="middle" align="center">WT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">CAR-NK</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">antiproliferation</td>
<td valign="middle" align="center">MDA-MB-231 MDA-MB-453</td>
<td valign="middle" align="center">Duct of Cuvier</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">33&#xb0;C</td>
<td valign="middle" align="center">Tg (flk1:GFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B48">48</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Edelfosenano-emulsion</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">antiproliferation</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">34&#xb0;C</td>
<td valign="middle" align="center">WT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B120">120</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">proteasome inhibitor (PI)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">antiproliferation</td>
<td valign="middle" align="center">HCC1806<break/>MCF-7</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">500-1000</td>
<td valign="middle" align="center">34&#xb0;C</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B121">121</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">IT1t</td>
<td valign="middle" align="center">CXCR4</td>
<td valign="middle" align="center">anti early metastasis</td>
<td valign="middle" align="center">MDA-MB-231<break/>MDA-MB-231-B</td>
<td valign="middle" align="center">Duct of Cuvier</td>
<td valign="middle" align="center">300-500</td>
<td valign="middle" align="center">34&#xb0;C</td>
<td valign="middle" align="center">Tg(kdrl:EGFP)<break/>Tg(mpeg1:mCherry)<break/>Tg(mpeg1:EGFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B78">78</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">TKRI<break/>inhibitor</td>
<td valign="middle" align="center">TGF-&#x3b2;</td>
<td valign="middle" align="center">anti-invasive metastasis</td>
<td valign="middle" align="center">MCF-10A<break/>MDA-MB-231</td>
<td valign="middle" align="center">Duct of Cuvier</td>
<td valign="middle" align="center">400</td>
<td valign="middle" align="center">33&#xb0;C</td>
<td valign="middle" align="center">Tg(fli1:GFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B88">88</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">MMP inhibitor</td>
<td valign="middle" align="center">TGF-&#x3b2;</td>
<td valign="middle" align="center">anti-invasive metastasis</td>
<td valign="middle" align="center">MCF-10A<break/>MDA-MB-231</td>
<td valign="middle" align="center">Duct of Cuvier</td>
<td valign="middle" align="center">400</td>
<td valign="middle" align="center">33&#xb0;C</td>
<td valign="middle" align="center">Tg(fli1:GFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B88">88</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">av<break/>antagonist</td>
<td valign="middle" align="center">TGF-&#x3b2;</td>
<td valign="middle" align="center">anti-invasive metastasis</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">Duct of Cuvier</td>
<td valign="middle" align="center">400</td>
<td valign="middle" align="center">33&#xb0;C</td>
<td valign="middle" align="center">Tg(fli1:GFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">UCHL1 inhibitor 6RK73</td>
<td valign="middle" align="center">TGF-&#x3b2;</td>
<td valign="middle" align="center">antimetastasis</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">Duct of Cuvier</td>
<td valign="middle" align="center">400</td>
<td valign="middle" align="center">33&#xb0;C</td>
<td valign="middle" align="center">Tg(fli1:EGFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B32">32</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Matcha</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">antimetastasis</td>
<td valign="middle" align="center">MDA-MB-468<break/>MDA-MB-231</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">WT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B44">44</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">PRMT5</td>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">antimetastasis</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">300</td>
<td valign="middle" align="center">34&#xb0;C</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B122">122</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Fangjihuangqi</td>
<td valign="middle" align="center">EMT</td>
<td valign="middle" align="center">antimetastasis</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">200</td>
<td valign="middle" align="center">35&#xb0;C</td>
<td valign="middle" align="center">WT</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B123">123</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Bevacizumab</td>
<td valign="middle" align="center">VEGF</td>
<td valign="middle" align="center">antiangiogenesis</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">28.5&#xb0;C</td>
<td valign="middle" align="center">Tg(fli1a:EGFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B97">97</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">PI3K nanoparticle</td>
<td valign="middle" align="center">PI3K</td>
<td valign="middle" align="center">antiangiogenesis</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">yolk sac</td>
<td valign="middle" align="center">500</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">SKLB646</td>
<td valign="middle" align="center">VEGFR2</td>
<td valign="middle" align="center">antiangiogenesis</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Tg(flk1:EGFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Emodin</td>
<td valign="middle" align="center">VEGFA</td>
<td valign="middle" align="center">antiangiogenesis</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">28.5&#xb0;C</td>
<td valign="middle" align="center">Tg(fli-1a:EGFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B100">100</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Musketone</td>
<td valign="middle" align="center">VEGF/PI3K/Akt/MAPK</td>
<td valign="middle" align="center">antiangiogenesis</td>
<td valign="middle" align="center">MDA-MB-231</td>
<td valign="middle" align="center">PVS</td>
<td valign="middle" align="center">3x10<sup>4</sup>
</td>
<td valign="middle" align="center">28.5&#xb0;C</td>
<td valign="middle" align="center">Tg(fli-1a:EGFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B101">101</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">FAK</td>
<td valign="middle" align="center">VEGFR2</td>
<td valign="middle" align="center">antiangiogenesis</td>
<td valign="middle" align="center">MDA-MB-468<break/>MDA-MB-231</td>
<td valign="middle" align="center">PVS</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">32.5&#xb0;C</td>
<td valign="middle" align="center">Tg(fli1:EGFP)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B124">124</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Anti-TGF-&#x3b2; signaling pathway drugs</title>
<p>Zebrafish xenograft models have emerged as a cost-efficient platform for screening anti-TGF-&#x3b2; therapeutics against metastatic breast cancer. Drabsch et&#xa0;al. (<xref ref-type="bibr" rid="B88">88</xref>) established an innovative metastasis assay by microinjecting human breast cancer cells into duct of Cuvier, enabling real-time tracking of tumor cell invasion into the avascular caudal fin. Pharmacological interrogation using TGF-&#x3b2;RI kinase inhibitors [SB-431542 (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B90">90</xref>), LY-294002 (<xref ref-type="bibr" rid="B91">91</xref>)], MMP inhibitor GM6001 (<xref ref-type="bibr" rid="B92">92</xref>), and Smad4 genetic ablation demonstrated that blockade of different parts of the TGF-&#x3b2; signaling pathway results in a significant reduction in breast cancer cell invasion and metastasis. The model&#x2019;s versatility is further evidenced by successful evaluation of &#x3b1;v integrin antagonists (<xref ref-type="bibr" rid="B31">31</xref>), CXCR4 inhibitor IT1t (<xref ref-type="bibr" rid="B78">78</xref>), and UCHL1 inhibitor 6RK73 (<xref ref-type="bibr" rid="B32">32</xref>), collectively validating zebrafish as a premier system for TGF-&#x3b2;-targeted drug discovery.</p>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Anti-VEGF signaling pathway drugs</title>
<p>The zebrafish PVS (<xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>) implantation model enables quantitative assessment of tumor-induced angiogenesis through longitudinal monitoring of subintestinal vessel (SIV) sprouting at 48-hour post-implantation. This process is governed by the angiogenic switch mechanism, where dynamic equilibrium between pro-angiogenic (e.g., VEGF/VEGFR axis) and anti-angiogenic factors (e.g., p53-mediated pathways) determines neovascularization outcomes (<xref ref-type="bibr" rid="B95">95</xref>). While bevacizumab - a humanized anti-VEGF monoclonal antibody approved since 2004, its clinical efficacy is limited by compensatory mechanisms and acquired resistance (<xref ref-type="bibr" rid="B96">96</xref>). Zhang et&#xa0;al. (<xref ref-type="bibr" rid="B97">97</xref>) pioneered zebrafish-based anti-angiogenic drug evaluation, demonstrating bevacizumab inhibited the formation of subintestinal veins in zebrafish and mimicked the process of tumor angiogenesis <italic>in vivo</italic>. Zebrafish platform has facilitated development of therapeutics including: (1) PI3K inhibitor-loaded nanoparticles showing reduction in MDA-MB-231-induced angiogenesis (<xref ref-type="bibr" rid="B98">98</xref>); (2) SKLB646 (SRC/Raf/VEGFR2 multi-kinase inhibitor) suppressing intersegmental vessel formation (<xref ref-type="bibr" rid="B99">99</xref>). Emerging strategies focus on natural compounds like emodin (<xref ref-type="bibr" rid="B100">100</xref>) and muscone (musk ketone) (<xref ref-type="bibr" rid="B101">101</xref>), with the latter significantly attenuating VEGF-mediated signaling in zebrafish SIV. The optical transparency of zebrafish embryos coupled with transgenic vascular reporters (e.g., <italic>fli1a:EGFP</italic>) provides unparalleled spatiotemporal resolution for anti-angiogenic drug discovery.</p>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>Screening of the anti-cancer drugs targeting breast cancer stem cells</title>
<p>Cancer stem cells (CSCs) possess three defining hallmarks: (1) self-renewal capacity, (2) multilineage differentiation potential, and (3) tumor-initiating ability, making them prime therapeutic targets for eradicating malignant clones. Therefore, targeting CSCs could be an important anti-cancer therapeutic strategy. Eguiara et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>) demonstrated CSC pathotropism using 2-dpf zebrafish xenografts, revealing that CSCs exhibited higher caudal engraftment efficiency compared to parental cell populations. Curcumin supplementation significantly impaired CSC migratory capacity and proliferation, establishing zebrafish as a dual-purpose platform for fundamental CSC biology and drug discovery. Yang et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) further validated this approach through microinjection of 200&#x2013;300 BCSC-enriched MDA-MB-231-GFP cells, showing that gomisin M2 significantly inhibited BCSC proliferation and mammosphere formation. Metabolic reprogramming studies identified elevated glycolytic flux in BCSCs as critical for maintaining stemness and chemoresistance, with Singh et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>) demonstrating that PL-NPs (piperlongumine nanoparticles) reversed this phenotype through inhibition of glutathione transferase GSTP 1 expression and upregulation of FBP 1 (a key metabolic enzyme for gluconeogenesis) expression in <italic>Tg(kdrl:EGFP)</italic> zebrafish. The PLGA-encapsulated formulation enhanced drug bioavailability while leveraging the Enhanced permeability and retention (EPR) effect for tumor-selective accumulation, addressing key pharmacokinetic limitations of free piperlongumine. These multidisciplinary approaches establish zebrafish models as indispensable tools for developing CSC-targeted therapies against TNBC.</p>
</sec>
<sec id="s3_3_4">
<label>3.3.4</label>
<title>Humanized zebrafish models for evaluating CAR-NK immunotherapy and immune checkpoint blockade</title>
<p>The zebrafish model&#x2019;s high fecundity and compatibility with microscale tumor inocula establish it as a premier platform for personalized therapeutic validation. Shankar et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>) established a dual-cell xenotransplantation paradigm in zebrafish, sequentially engrafting metastatic breast cancer cells and chimeric antigen receptor-natural killer (CAR-NK) cells into the duct of Cuvier to evaluate antitumor efficacy. Cancer cells preferentially colonized distal niches including the caudal hematopoietic tissue (CHT),&#xa0;mimicking organotropic metastasis to hematopoietic microenvironments. CAR-NK cells exhibited targeted tropism, infiltrating CHT microenvironments within 2.5 h post-injection (hpi) and rapidly eliminated individual cancer cells throughout the organism. This methodology enables rapid preclinical evaluation of CAR-NK cell therapies, demonstrating strong translational potential for personalized immunotherapy optimization. Beyond evaluating CAR-NK cell efficacy, zebrafish models offer unique advantages as humanized preclinical platforms for immunotherapy research. Through co-engraftment of patient-derived tumor cells and human immune components (e.g., NK cells) (<xref ref-type="bibr" rid="B102">102</xref>) into optically transparent casper mutant embryos, these models recapitulate critical aspects of the human tumor-immune microenvironment (TIME). This enables: (i) Real-time tracking of immune cell infiltration into primary tumors via confocal imaging of fluorescently labeled T cells/NK cells; (ii) Quantitative assessment of immune checkpoint inhibitor (ICI) responses (e.g., anti-PD-1 induced T-cell reactivation); (iii) Combinatorial therapy screening &#x2013; exemplified by synergistic CAR-NK/ICI (<xref ref-type="bibr" rid="B103">103</xref>, <xref ref-type="bibr" rid="B104">104</xref>) regimens that remodel immunosuppressive microenvironments. The model&#x2019;s capacity for longitudinal intravital imaging at single-cell resolution provides unprecedented insight into dynamic immune-tumor interactions (<xref ref-type="bibr" rid="B50">50</xref>) unattainable in murine systems.</p>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Limitations of using the zebrafish xenotransplantation model</title>
<p>There are also some limitations to the use of the zebrafish model in breast cancer research. Although zebrafish is homologous to many mammalian pathways and organ systems, it does lack several mammalian tissues (lung, breast, and prostate) (<xref ref-type="bibr" rid="B105">105</xref>), but may be able to &#x201c;add&#x201d; desired cells or growth signals to allow normal growth cues associated with <italic>in situ</italic> injections (<xref ref-type="bibr" rid="B34">34</xref>). For example, transgenic fish (<xref ref-type="bibr" rid="B15">15</xref>) expressing human growth factors, receptors and/or cytokines could be generated to enhance implantation and tumor growth.</p>
<p>There are inherent temperature differences between zebrafish and human systems that may influence tumor cell proliferation rates and zebrafish physiology. Zebrafish embryos develop optimally at 27&#xb0;C-28&#xb0;C (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B106">106</xref>), whereas human tumor cells thrive at 37&#xb0;C (<xref ref-type="bibr" rid="B107">107</xref>), a temperature required for mammalian cell viability. To address this discrepancy, xenograft experiments methodologically implement a compromise temperature that balances optimal growth conditions in the host with the metabolic requirements of the tumor cells. This temperature must be sufficiently high to sustain proliferation of xenografted cells while maintaining embryo viability and preventing developmental defects. In recent years, the standard temperature for performing xenograft assays in the literature has been increased to 34&#xb0;C at the expense of shortening the incubation time to 3 to 6 days post-injection (dpi) (<xref ref-type="bibr" rid="B39">39</xref>). Incubation temperatures and incubation times remain unbalanced. In an experimental design comparing incubation temperatures (28, 34 and 36&#xb0;C), Pablo et&#xa0;al. (<xref ref-type="bibr" rid="B108">108</xref>) systematically evaluated morphological abnormalities and developmental effects in injected and control embryos at multiple time points. Their results showed that incubation at 36&#xb0;C for 48 h was most favorable for xenograft survival, and no significant morphological or metabolic disturbances were observed in either host embryos or tumor cells, allowing them to proliferate near their respective optimal temperatures. Protocols are adapted to tumor cell requirements: while 34&#xb0;C (<xref ref-type="bibr" rid="B39">39</xref>) remains widely used for viability balance, temperature escalation (35-36&#xb0;C) (<xref ref-type="bibr" rid="B109">109</xref>, <xref ref-type="bibr" rid="B110">110</xref>) may be&#xa0;implemented for short-term drug efficacy assays with mortality controls.</p>
<p>Zebrafish xenograft models faithfully replicate conserved metastatic mechanisms documented in murine models, including evolutionarily maintained signaling pathways (e.g., HTR2A/2B-mediated EMT induction (<xref ref-type="bibr" rid="B111">111</xref>)) and prototypical metastatic cascades such as hematogenous dissemination. However, phylogenetic divergences in immunoinhibitory checkpoint regulation and organotropic metastasis predilection compel the implementation of complementary methodology combining both model organisms to optimize experimental validity and translational relevance (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B51">51</xref>). Paul et&#xa0;al. (<xref ref-type="bibr" rid="B112">112</xref>) demonstrated that cell line pairs that preferentially target bone marrow and brain niches in mice show similar targeting in the larval fish by 5 dpi following injection to the circulatory system. The authors (<xref ref-type="bibr" rid="B112">112</xref>) validated the conservation of organotropism across species by injecting zebrafish with mouse-derived 4T1Br4 (brain-homing) and 4T1BM2 (bone marrow-tropic) cells, and observed metastatic targeting patterns that aligned with murine experimental data. The optical transparency of zebrafish embryos enables real-time visualization of tumor cell-microenvironment interactions, a technical challenge in opaque mammalian models. Fluorescent lineage tracing in zebrafish has enabled precise tracking of metastatic processes, including vascular migration and micrometastatic colonization (<xref ref-type="bibr" rid="B51">51</xref>). Whereas zebrafish larval models enable rapid metastasis assays (days-scale), murine models require extended observation periods (weeks to months) (<xref ref-type="bibr" rid="B113">113</xref>). Crucially, murine models maintain indispensable translational relevance by reconstituting humanized adaptive immune microenvironments and supporting evolutionarily conserved myeloid differentiation pathways that generate metastasis-associated macrophages (MAMs) (<xref ref-type="bibr" rid="B114">114</xref>), a process incompletely modeled in zebrafish. While zebrafish excel in modeling early metastatic dissemination, murine models remain superior for studying organ-specific metastases [e.g., bone metastasis (<xref ref-type="bibr" rid="B115">115</xref>)] and immune microenvironment dynamics, as evidenced by studies of breast cancer bone metastasis employing transgenic mouse models [e.g., MMTV-PyMT (<xref ref-type="bibr" rid="B116">116</xref>)]. Recent methodological advances now enable implantation of patient-derived tumor samples in zebrafish, significantly improving human TME complexity recapitulation and demonstrating high treatment response predictability (<xref ref-type="bibr" rid="B117">117</xref>). As demonstrated by the results of Mendes et&#xa0;al. (<xref ref-type="bibr" rid="B118">118</xref>), the zebrafish TNBC xenograft model effectively differentiates between sensitivity to anthracyclines and paclitaxel, and the efficacy of combination chemotherapy is superior to that of single-agent treatment. The BC zAvatars model can be efficiently established (including early and late stage tumors), retains key biomarkers (e.g., ER), and its therapeutic response is highly concordant with the patients&#x2019; clinical outcomes (18/18 perfect match). The model also accurately reflects tumor staging and micrometastatic characteristics, providing a basis for personalized decisions on adjuvant treatment intensity and monitoring regimens. Nevertheless, key limitations persist (<xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>Furthermore, while implanting a small number of transplanted cells (around 100&#x2013;200 per embryo) can ensure successful engraftment, it may not necessarily include cancer-driving stem cells, which are indicative of the genetic diversity present in human tumors. Another disadvantage of embryo xenotransplantation is that the developing embryo provides a different biological microenvironment than the adult human body, and therefore the transplanted cancer cells are surrounded by new signals, which may have implications for cancer biology. The delayed maturation of zebrafish adaptive immunity imposes temporal limitations on longitudinal studies of tumor immunobiology or therapeutic response kinetics. While the immunodeficient larval stage facilitates xenotransplantation, it precludes investigation of adaptive immunity&#x2019;s dual roles in tumor suppression and therapy potentiation (<xref ref-type="bibr" rid="B34">34</xref>). Although zebrafish are useful for screening TME-centered chemicals, mammalian models remain necessary to develop these findings into drugs with favorable pharmacokinetic/pharmacodynamic properties (<xref ref-type="bibr" rid="B119">119</xref>). From a technical point of view, most studies have been developed by using membrane and cytoplasmic dyes to color tumor cells. These dyes do not correctly distinguish between dead and living cells, leading to biased overestimation of tumor mass and growth. As the zebrafish model becomes more widely used, the limitations will be dissolved.</p>
</sec>
<sec id="s5" sec-type="discussion">
<label>5</label>
<title>Discussion and perspectives</title>
<p>Zebrafish have emerged as a valuable <italic>in vivo</italic> model for human disease research, particularly in oncology, due to their unique biological advantages. Zebrafish xenotransplantation represents a powerful experimental strategy that enables cost-efficient, high-throughput investigation of human malignancies, overcoming the limitations of small sample sizes encountered in mammalian models. Nevertheless, critical knowledge gaps persist, including the development of immunocompromised zebrafish strains resistant to tumor rejection and the long-term viability of xenografts. These gaps underscore the urgent need for further research, especially given the clinical challenges faced by patients with TNBC. Patients with TNBC&#x2014;who derive limited benefit from anti-HER2 or endocrine therapies, exhibit poor five-year survival rates and elevated early recurrence risk. Elucidating the molecular mechanisms underlying breast cancer progression through systematic investigation is essential for identifying novel therapeutic targets to improve clinical outcomes in this high-risk patient population. Zebrafish have emerged as an indispensable tool in this endeavor, with accumulating evidence reviewed herein supporting the transformative potential of zebrafish xenografts in both fundamental breast cancer research and therapeutic development. The advent of 3D multicellular co-culture platforms enables precise dissection of tumor-stroma crosstalk. Integrating these systems with zebrafish xenografts could map spatial-temporal interactions between malignant cells and specific TME components. Future efforts should primarily concentrate on standardizing zebrafish model protocols and validating their clinical translatability. This can be achieved through strategies like integrating organoid co-culture systems, ultimately aiming to enhance predictive accuracy and ensure a smoother transition from bench to bedside. Consequently, leveraging zebrafish models in high-throughput drug screening pipelines may accelerate the translation of preclinical discoveries into targeted therapies for breast cancer patients. Taken together, these advancements position zebrafish as a cornerstone model in precision oncology and personalized medicine paradigms.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>XR: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Visualization. HC: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. XG: Writing &#x2013; review &amp; editing. XS: Writing &#x2013; review &amp; editing. LL: Writing &#x2013; review &amp; editing. YY: Writing &#x2013; review &amp; editing. CwL: Supervision, Conceptualization, Investigation, Writing &#x2013; review &amp; editing. SN: Investigation, Conceptualization. CbL: Supervision, Conceptualization, Investigation, Writing &#x2013; review &amp; editing. QY: Supervision, Investigation, Conceptualization.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by Sichuan Science and Technology Program (2025ZNSFSC0659), Luzhou Science and Technology Program (2023SYF100, 2024SYF128), The Science and Technology Strategic Cooperation Programs of Luzhou Municipal People&#x2019;s Government and Southwest Medical University (2023LZXNYDJ020, 2023LZXNYDJ029).</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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