Novel and Conventional Preclinical Models to Investigate Bone Metastasis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Tiina E. Kähkönen, Jenni Bernoulli, Jussi M. Halleen, Mari I. Suominen

ABSTRACT

The purpose of this review is to emphasize the use of bone metastasis models in preclinical research. As classical models have been thoroughly discussed in recent reviews, we here highlight the most important aspects from these papers with a special focus on novel models developed during the past 5 years. Preclinical mouse models to study bone metastasis can be divided by cancer cell inoculation techniques (spontaneous, systemic, or local) or by immunological background of the mice (immunodeficient, syngeneic, or humanized). Additionally, novel computational, in vitro co-culture, and humanized bone models have been established. Various models can be used to approach distinct research questions. Understanding limitations of the models is essential when planning a study and interpreting the results. Development of novel models will increase understanding of the complex biology and advance the discovery of new therapies targeting bone metastases. More... »

PAGES

1-7

References to SciGraph publications

  • 2012-06. Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET in NATURE MEDICINE
  • 2015-04-22. Bone remodeling markers and bone metastases: From cancer research to clinical implications in BONEKEY REPORTS
  • 2014-04. A humanized tissue-engineered in vivo model to dissect interactions between human prostate cancer cells and human bone in CLINICAL & EXPERIMENTAL METASTASIS
  • 2017-04-21. Bone-in-culture array as a platform to model early-stage bone metastases and discover anti-metastasis therapies in NATURE COMMUNICATIONS
  • 2014-06. Development of a realistic in vivo bone metastasis model of human renal cell carcinoma in CLINICAL & EXPERIMENTAL METASTASIS
  • 2016-07. A humanized bone marrow ossicle xenotransplantation model enables improved engraftment of healthy and leukemic human hematopoietic cells in NATURE MEDICINE
  • 2015-04-15. Bone specific immunity and its impact on metastasis in BONEKEY REPORTS
  • 2016-04. Spheroid culture of LuCaP 136 patient-derived xenograft enables versatile preclinical models of prostate cancer in CLINICAL & EXPERIMENTAL METASTASIS
  • 2018-12. A reliable murine model of bone metastasis by injecting cancer cells through caudal arteries in NATURE COMMUNICATIONS
  • 2018-02. Hallmarks of Bone Metastasis in CALCIFIED TISSUE INTERNATIONAL
  • 2008. Ossicle and Vossicle Implant Model Systems in OSTEOPOROSIS
  • 2015-11. Bone metastasis and the metastatic niche in JOURNAL OF MOLECULAR MEDICINE
  • 2014-09. Mimicking breast cancer-induced bone metastasis in vivo: current transplantation models and advanced humanized strategies in CANCER AND METASTASIS REVIEWS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s40610-019-0114-5

    DOI

    http://dx.doi.org/10.1007/s40610-019-0114-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111456057


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Oncology and Carcinogenesis", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Pharmatest (Finland)", 
              "id": "https://www.grid.ac/institutes/grid.452714.1", 
              "name": [
                "Pharmatest Services, It\u00e4inen Pitk\u00e4katu 4C, 20520, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "K\u00e4hk\u00f6nen", 
            "givenName": "Tiina E.", 
            "id": "sg:person.0607115126.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607115126.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pharmatest (Finland)", 
              "id": "https://www.grid.ac/institutes/grid.452714.1", 
              "name": [
                "Pharmatest Services, It\u00e4inen Pitk\u00e4katu 4C, 20520, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bernoulli", 
            "givenName": "Jenni", 
            "id": "sg:person.01256403715.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256403715.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pharmatest (Finland)", 
              "id": "https://www.grid.ac/institutes/grid.452714.1", 
              "name": [
                "Pharmatest Services, It\u00e4inen Pitk\u00e4katu 4C, 20520, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Halleen", 
            "givenName": "Jussi M.", 
            "id": "sg:person.01140251313.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140251313.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pharmatest (Finland)", 
              "id": "https://www.grid.ac/institutes/grid.452714.1", 
              "name": [
                "Pharmatest Services, It\u00e4inen Pitk\u00e4katu 4C, 20520, Turku, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Suominen", 
            "givenName": "Mari I.", 
            "id": "sg:person.016156723163.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016156723163.47"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1158/0008-5472.can-13-0991", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002447514"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4137/cgm.s21215", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006829813"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jcp.24464", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008763873"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/dju033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009440405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.8394", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009750091"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molonc.2014.01.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010112505"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molonc.2014.01.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010112505"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/stem.2412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011526099"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pros.10091", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013659195"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.2753", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016583334", 
              "https://doi.org/10.1038/nm.2753"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10585-014-9638-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017530912", 
              "https://doi.org/10.1007/s10585-014-9638-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/bonekey.2015.35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020556862", 
              "https://doi.org/10.1038/bonekey.2015.35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-59745-104-8_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025820132", 
              "https://doi.org/10.1007/978-1-59745-104-8_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-59745-104-8_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025820132", 
              "https://doi.org/10.1007/978-1-59745-104-8_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jcb.25250", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027160715"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-05-0749", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029939205"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.4103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030233094", 
              "https://doi.org/10.1038/nm.4103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/bs.mcb.2016.10.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031747543"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ddmod.2011.05.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038561662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00109-015-1329-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041284887", 
              "https://doi.org/10.1007/s00109-015-1329-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/bonekey.2015.32", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041511078", 
              "https://doi.org/10.1038/bonekey.2015.32"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-15-0204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043110382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10555-014-9499-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043919477", 
              "https://doi.org/10.1007/s10555-014-9499-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fphar.2016.00286", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044123636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0300985815586223", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045095384"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0300985815586223", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045095384"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3791/50873", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045261820"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.trsl.2010.01.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046048375"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biomaterials.2014.01.062", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047792242"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10585-014-9651-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052099495", 
              "https://doi.org/10.1007/s10585-014-9651-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10585-016-9781-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053362435", 
              "https://doi.org/10.1007/s10585-016-9781-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1089/ars.2010.3727", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059231468"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-16-1260", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063216264"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3791/53982", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071425787"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3934/mbe.2017019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071742061"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079204684", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082958827", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tranon.2016.12.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083848343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/17460441.2017.1297416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084168598"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-16-2955", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084230890"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/dev.142836", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084256464"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms15045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085028579", 
              "https://doi.org/10.1038/ncomms15045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/term.2517", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090745838"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.20187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091190111"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.mbs.2017.09.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091734431"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-17-0064", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091809816"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00223-017-0362-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092666346", 
              "https://doi.org/10.1007/s00223-017-0362-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejca.2018.01.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101542845"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3892/ol.2018.8804", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104226822"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/cancers10060176", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104373998"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-05366-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105814083", 
              "https://doi.org/10.1038/s41467-018-05366-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fimmu.2018.01681", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105948322"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1538-7445.am2018-1162", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106204502"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-03", 
        "datePublishedReg": "2019-03-01", 
        "description": "The purpose of this review is to emphasize the use of bone metastasis models in preclinical research. As classical models have been thoroughly discussed in recent reviews, we here highlight the most important aspects from these papers with a special focus on novel models developed during the past 5 years. Preclinical mouse models to study bone metastasis can be divided by cancer cell inoculation techniques (spontaneous, systemic, or local) or by immunological background of the mice (immunodeficient, syngeneic, or humanized). Additionally, novel computational, in vitro co-culture, and humanized bone models have been established. Various models can be used to approach distinct research questions. Understanding limitations of the models is essential when planning a study and interpreting the results. Development of novel models will increase understanding of the complex biology and advance the discovery of new therapies targeting bone metastases.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s40610-019-0114-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1051428", 
            "issn": [
              "2198-6428"
            ], 
            "name": "Current Molecular Biology Reports", 
            "type": "Periodical"
          }
        ], 
        "name": "Novel and Conventional Preclinical Models to Investigate Bone Metastasis", 
        "pagination": "1-7", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "a2753d948ac4eb3aa107f747ee63469f106a1698c4c79649f85474be66d044d0"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s40610-019-0114-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111456057"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s40610-019-0114-5", 
          "https://app.dimensions.ai/details/publication/pub.1111456057"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T08:42", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000321_0000000321/records_74938_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs40610-019-0114-5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s40610-019-0114-5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40610-019-0114-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40610-019-0114-5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40610-019-0114-5'


     

    This table displays all metadata directly associated to this object as RDF triples.

    236 TRIPLES      21 PREDICATES      75 URIs      17 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s40610-019-0114-5 schema:about anzsrc-for:11
    2 anzsrc-for:1112
    3 schema:author N57a7d29dc928424f91dc3b7a28196a42
    4 schema:citation sg:pub.10.1007/978-1-59745-104-8_7
    5 sg:pub.10.1007/s00109-015-1329-4
    6 sg:pub.10.1007/s00223-017-0362-4
    7 sg:pub.10.1007/s10555-014-9499-z
    8 sg:pub.10.1007/s10585-014-9638-5
    9 sg:pub.10.1007/s10585-014-9651-8
    10 sg:pub.10.1007/s10585-016-9781-2
    11 sg:pub.10.1038/bonekey.2015.32
    12 sg:pub.10.1038/bonekey.2015.35
    13 sg:pub.10.1038/ncomms15045
    14 sg:pub.10.1038/nm.2753
    15 sg:pub.10.1038/nm.4103
    16 sg:pub.10.1038/s41467-018-05366-3
    17 https://app.dimensions.ai/details/publication/pub.1079204684
    18 https://app.dimensions.ai/details/publication/pub.1082958827
    19 https://doi.org/10.1002/jcb.25250
    20 https://doi.org/10.1002/jcp.24464
    21 https://doi.org/10.1002/pros.10091
    22 https://doi.org/10.1002/stem.2412
    23 https://doi.org/10.1002/term.2517
    24 https://doi.org/10.1016/bs.mcb.2016.10.009
    25 https://doi.org/10.1016/j.biomaterials.2014.01.062
    26 https://doi.org/10.1016/j.ddmod.2011.05.003
    27 https://doi.org/10.1016/j.ejca.2018.01.020
    28 https://doi.org/10.1016/j.mbs.2017.09.005
    29 https://doi.org/10.1016/j.molonc.2014.01.012
    30 https://doi.org/10.1016/j.tranon.2016.12.001
    31 https://doi.org/10.1016/j.trsl.2010.01.002
    32 https://doi.org/10.1080/17460441.2017.1297416
    33 https://doi.org/10.1089/ars.2010.3727
    34 https://doi.org/10.1093/jnci/dju033
    35 https://doi.org/10.1158/0008-5472.can-05-0749
    36 https://doi.org/10.1158/0008-5472.can-13-0991
    37 https://doi.org/10.1158/0008-5472.can-15-0204
    38 https://doi.org/10.1158/0008-5472.can-16-1260
    39 https://doi.org/10.1158/0008-5472.can-17-0064
    40 https://doi.org/10.1158/1078-0432.ccr-16-2955
    41 https://doi.org/10.1158/1538-7445.am2018-1162
    42 https://doi.org/10.1177/0300985815586223
    43 https://doi.org/10.1242/dev.142836
    44 https://doi.org/10.18632/oncotarget.20187
    45 https://doi.org/10.18632/oncotarget.8394
    46 https://doi.org/10.3389/fimmu.2018.01681
    47 https://doi.org/10.3389/fphar.2016.00286
    48 https://doi.org/10.3390/cancers10060176
    49 https://doi.org/10.3791/50873
    50 https://doi.org/10.3791/53982
    51 https://doi.org/10.3892/ol.2018.8804
    52 https://doi.org/10.3934/mbe.2017019
    53 https://doi.org/10.4137/cgm.s21215
    54 schema:datePublished 2019-03
    55 schema:datePublishedReg 2019-03-01
    56 schema:description The purpose of this review is to emphasize the use of bone metastasis models in preclinical research. As classical models have been thoroughly discussed in recent reviews, we here highlight the most important aspects from these papers with a special focus on novel models developed during the past 5 years. Preclinical mouse models to study bone metastasis can be divided by cancer cell inoculation techniques (spontaneous, systemic, or local) or by immunological background of the mice (immunodeficient, syngeneic, or humanized). Additionally, novel computational, in vitro co-culture, and humanized bone models have been established. Various models can be used to approach distinct research questions. Understanding limitations of the models is essential when planning a study and interpreting the results. Development of novel models will increase understanding of the complex biology and advance the discovery of new therapies targeting bone metastases.
    57 schema:genre research_article
    58 schema:inLanguage en
    59 schema:isAccessibleForFree false
    60 schema:isPartOf sg:journal.1051428
    61 schema:name Novel and Conventional Preclinical Models to Investigate Bone Metastasis
    62 schema:pagination 1-7
    63 schema:productId N52a2781838f3461583f8c7f9cdb8bf2a
    64 N7173bc706fdd40ada66d50368ef9a2f5
    65 Nb55bc3c40d3545909484d5034c74c9b9
    66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111456057
    67 https://doi.org/10.1007/s40610-019-0114-5
    68 schema:sdDatePublished 2019-04-11T08:42
    69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    70 schema:sdPublisher N7c4f1e85402b47548ea48a8d4556ef86
    71 schema:url https://link.springer.com/10.1007%2Fs40610-019-0114-5
    72 sgo:license sg:explorer/license/
    73 sgo:sdDataset articles
    74 rdf:type schema:ScholarlyArticle
    75 N38efe010210b44a9bb67d3a66d35a1f2 rdf:first sg:person.01256403715.36
    76 rdf:rest Nc18284b81479461db667f3beb6a79f3a
    77 N52a2781838f3461583f8c7f9cdb8bf2a schema:name doi
    78 schema:value 10.1007/s40610-019-0114-5
    79 rdf:type schema:PropertyValue
    80 N57a7d29dc928424f91dc3b7a28196a42 rdf:first sg:person.0607115126.70
    81 rdf:rest N38efe010210b44a9bb67d3a66d35a1f2
    82 N7173bc706fdd40ada66d50368ef9a2f5 schema:name dimensions_id
    83 schema:value pub.1111456057
    84 rdf:type schema:PropertyValue
    85 N7c4f1e85402b47548ea48a8d4556ef86 schema:name Springer Nature - SN SciGraph project
    86 rdf:type schema:Organization
    87 N9c46e2e50c004a5e8f0c8b536aca133a rdf:first sg:person.016156723163.47
    88 rdf:rest rdf:nil
    89 Nb55bc3c40d3545909484d5034c74c9b9 schema:name readcube_id
    90 schema:value a2753d948ac4eb3aa107f747ee63469f106a1698c4c79649f85474be66d044d0
    91 rdf:type schema:PropertyValue
    92 Nc18284b81479461db667f3beb6a79f3a rdf:first sg:person.01140251313.38
    93 rdf:rest N9c46e2e50c004a5e8f0c8b536aca133a
    94 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    95 schema:name Medical and Health Sciences
    96 rdf:type schema:DefinedTerm
    97 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    98 schema:name Oncology and Carcinogenesis
    99 rdf:type schema:DefinedTerm
    100 sg:journal.1051428 schema:issn 2198-6428
    101 schema:name Current Molecular Biology Reports
    102 rdf:type schema:Periodical
    103 sg:person.01140251313.38 schema:affiliation https://www.grid.ac/institutes/grid.452714.1
    104 schema:familyName Halleen
    105 schema:givenName Jussi M.
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140251313.38
    107 rdf:type schema:Person
    108 sg:person.01256403715.36 schema:affiliation https://www.grid.ac/institutes/grid.452714.1
    109 schema:familyName Bernoulli
    110 schema:givenName Jenni
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256403715.36
    112 rdf:type schema:Person
    113 sg:person.016156723163.47 schema:affiliation https://www.grid.ac/institutes/grid.452714.1
    114 schema:familyName Suominen
    115 schema:givenName Mari I.
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016156723163.47
    117 rdf:type schema:Person
    118 sg:person.0607115126.70 schema:affiliation https://www.grid.ac/institutes/grid.452714.1
    119 schema:familyName Kähkönen
    120 schema:givenName Tiina E.
    121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607115126.70
    122 rdf:type schema:Person
    123 sg:pub.10.1007/978-1-59745-104-8_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025820132
    124 https://doi.org/10.1007/978-1-59745-104-8_7
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/s00109-015-1329-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041284887
    127 https://doi.org/10.1007/s00109-015-1329-4
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/s00223-017-0362-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092666346
    130 https://doi.org/10.1007/s00223-017-0362-4
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/s10555-014-9499-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1043919477
    133 https://doi.org/10.1007/s10555-014-9499-z
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/s10585-014-9638-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017530912
    136 https://doi.org/10.1007/s10585-014-9638-5
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/s10585-014-9651-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052099495
    139 https://doi.org/10.1007/s10585-014-9651-8
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/s10585-016-9781-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053362435
    142 https://doi.org/10.1007/s10585-016-9781-2
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1038/bonekey.2015.32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041511078
    145 https://doi.org/10.1038/bonekey.2015.32
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1038/bonekey.2015.35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020556862
    148 https://doi.org/10.1038/bonekey.2015.35
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1038/ncomms15045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085028579
    151 https://doi.org/10.1038/ncomms15045
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1038/nm.2753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016583334
    154 https://doi.org/10.1038/nm.2753
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1038/nm.4103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030233094
    157 https://doi.org/10.1038/nm.4103
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1038/s41467-018-05366-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105814083
    160 https://doi.org/10.1038/s41467-018-05366-3
    161 rdf:type schema:CreativeWork
    162 https://app.dimensions.ai/details/publication/pub.1079204684 schema:CreativeWork
    163 https://app.dimensions.ai/details/publication/pub.1082958827 schema:CreativeWork
    164 https://doi.org/10.1002/jcb.25250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027160715
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1002/jcp.24464 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008763873
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1002/pros.10091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013659195
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1002/stem.2412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011526099
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1002/term.2517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090745838
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1016/bs.mcb.2016.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031747543
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1016/j.biomaterials.2014.01.062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047792242
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1016/j.ddmod.2011.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038561662
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1016/j.ejca.2018.01.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101542845
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1016/j.mbs.2017.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091734431
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1016/j.molonc.2014.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010112505
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1016/j.tranon.2016.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083848343
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.1016/j.trsl.2010.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046048375
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.1080/17460441.2017.1297416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084168598
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.1089/ars.2010.3727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059231468
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.1093/jnci/dju033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009440405
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1158/0008-5472.can-05-0749 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029939205
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1158/0008-5472.can-13-0991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002447514
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1158/0008-5472.can-15-0204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043110382
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1158/0008-5472.can-16-1260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063216264
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1158/0008-5472.can-17-0064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091809816
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1158/1078-0432.ccr-16-2955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084230890
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1158/1538-7445.am2018-1162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106204502
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1177/0300985815586223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045095384
    211 rdf:type schema:CreativeWork
    212 https://doi.org/10.1242/dev.142836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084256464
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.18632/oncotarget.20187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091190111
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.18632/oncotarget.8394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009750091
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.3389/fimmu.2018.01681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105948322
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.3389/fphar.2016.00286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044123636
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.3390/cancers10060176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104373998
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.3791/50873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045261820
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.3791/53982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071425787
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.3892/ol.2018.8804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104226822
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.3934/mbe.2017019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071742061
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.4137/cgm.s21215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006829813
    233 rdf:type schema:CreativeWork
    234 https://www.grid.ac/institutes/grid.452714.1 schema:alternateName Pharmatest (Finland)
    235 schema:name Pharmatest Services, Itäinen Pitkäkatu 4C, 20520, Turku, Finland
    236 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...