A bioprinted human-glioblastoma-on-a-chip for the identification of patient-specific responses to chemoradiotherapy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-18

AUTHORS

Hee-Gyeong Yi, Young Hun Jeong, Yona Kim, Yeong-Jin Choi, Hyo Eun Moon, Sung Hye Park, Kyung Shin Kang, Mihyeon Bae, Jinah Jang, Hyewon Youn, Sun Ha Paek, Dong-Woo Cho

ABSTRACT

Patient-specific ex vivo models of human tumours that recapitulate the pathological characteristics and complex ecology of native tumours could help determine the most appropriate cancer treatment for individual patients. Here, we show that bioprinted reconstituted glioblastoma tumours consisting of patient-derived tumour cells, vascular endothelial cells and decellularized extracellular matrix from brain tissue in a compartmentalized cancer–stroma concentric-ring structure that sustains a radial oxygen gradient, recapitulate the structural, biochemical and biophysical properties of the native tumours. We also show that the glioblastoma-on-a-chip reproduces clinically observed patient-specific resistances to treatment with concurrent chemoradiation and temozolomide, and that the model can be used to determine drug combinations associated with superior tumour killing. The patient-specific tumour-on-a-chip model might be useful for the identification of effective treatments for glioblastoma patients resistant to the standard first-line treatment. A tumour-on-a-chip model featuring patient-derived glioblastoma cells, vascular endothelial cells and decellularized extracellular matrix from brain tissue can be used to identify patient-specific resistance to standard chemoradiotherapy. More... »

PAGES

1-11

References to SciGraph publications

  • 2014-08. Between disease and a dish in NATURE BIOTECHNOLOGY
  • 2014-12. Printing three-dimensional tissue analogues with decellularized extracellular matrix bioink in NATURE COMMUNICATIONS
  • 2014-05. Turning ecology and evolution against cancer in NATURE REVIEWS CANCER
  • 2015-05. Examining the utility of patient-derived xenograft mouse models in NATURE REVIEWS CANCER
  • 2017-03. Temozolomide resistance in glioblastoma cells occurs partly through epidermal growth factor receptor-mediated induction of connexin 43 in CELL DEATH & DISEASE
  • 2012-07. Combinatorial drug therapy for cancer in the post-genomic era in NATURE BIOTECHNOLOGY
  • 2016-04. Computer-aided multiple-head 3D printing system for printing of heterogeneous organ/tissue constructs in SCIENTIFIC REPORTS
  • 2017-03. Instrumented cardiac microphysiological devices via multimaterial three-dimensional printing in NATURE MATERIALS
  • 2012-09. Navigating cancer network attractors for tumor-specific therapy in NATURE BIOTECHNOLOGY
  • 2010-08. DRR drives brain cancer invasion by regulating cytoskeletal-focal adhesion dynamics in ONCOGENE
  • 2015-04. SHMT2 drives glioma cell survival in ischaemia but imposes a dependence on glycine clearance in NATURE
  • 2015-02. Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution in NATURE
  • 2012-06-07. Microfluidic assay for simultaneous culture of multiple cell types on surfaces or within hydrogels in NATURE PROTOCOLS
  • 2016-08. A recellularized human colon model identifies cancer driver genes in NATURE BIOTECHNOLOGY
  • 2013-09. Influence of tumour micro-environment heterogeneity on therapeutic response in NATURE
  • 2007-08. Angiogenesis in brain tumours in NATURE REVIEWS NEUROSCIENCE
  • 2014-08. Microfluidic organs-on-chips in NATURE BIOTECHNOLOGY
  • 2008-02. Perfusion-decellularized matrix: using nature's platform to engineer a bioartificial heart in NATURE MEDICINE
  • 2014-03-12. The present and future role of microfluidics in biomedical research in NATURE
  • 2017-04. Interrogating open issues in cancer precision medicine with patient-derived xenografts in NATURE REVIEWS CANCER
  • 2014-09. Recombinant TIMP-1-GPI inhibits growth of fibrosarcoma and enhances tumor sensitivity to doxorubicin in TARGETED ONCOLOGY
  • 2010-09. Towards patient-based cancer therapeutics in NATURE BIOTECHNOLOGY
  • 2007-04. Three-dimensional culture models of normal and malignant breast epithelial cells in NATURE METHODS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41551-019-0363-x

    DOI

    http://dx.doi.org/10.1038/s41551-019-0363-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112852747


    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": "Pohang University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.49100.3c", 
              "name": [
                "Department of Mechanical Engineering, POSTECH, Pohang, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yi", 
            "givenName": "Hee-Gyeong", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kyungpook National University", 
              "id": "https://www.grid.ac/institutes/grid.258803.4", 
              "name": [
                "School of Mechanical Engineering, Kyungpook National University, Daegu, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jeong", 
            "givenName": "Young Hun", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Yona", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Korea Institute of Materials Science", 
              "id": "https://www.grid.ac/institutes/grid.410902.e", 
              "name": [
                "Division of Integrative Biosciences and Biotechnology, POSTECH, Pohang, Korea", 
                "Powder & Ceramics Division, Korea Institute of Materials Science, Changwon, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Choi", 
            "givenName": "Yeong-Jin", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Moon", 
            "givenName": "Hyo Eun", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Pathology, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Park", 
            "givenName": "Sung Hye", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Anderson University", 
              "id": "https://www.grid.ac/institutes/grid.422658.f", 
              "name": [
                "School of Physical Sciences and Engineering, Anderson University, Anderson, IN, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kang", 
            "givenName": "Kyung Shin", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pohang University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.49100.3c", 
              "name": [
                "Department of Mechanical Engineering, POSTECH, Pohang, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bae", 
            "givenName": "Mihyeon", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pohang University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.49100.3c", 
              "name": [
                "Department of Creative IT Engineering, POSTECH, Pohang, Korea", 
                "School of Interdisciplinary Bioscience and Bioengineering, POSTECH, Pohang, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jang", 
            "givenName": "Jinah", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Nuclear Medicine and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Youn", 
            "givenName": "Hyewon", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Paek", 
            "givenName": "Sun Ha", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pohang University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.49100.3c", 
              "name": [
                "Department of Mechanical Engineering, POSTECH, Pohang, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cho", 
            "givenName": "Dong-Woo", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1002/ijc.28680", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001281636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5607/en.2015.24.3.235", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001639863"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ccr.2012.02.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002516265"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibtech.2016.06.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002838234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2012.051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003108140", 
              "https://doi.org/10.1038/nprot.2012.051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13952", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003619190", 
              "https://doi.org/10.1038/nature13952"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm1684", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003784791", 
              "https://doi.org/10.1038/nm1684"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2345", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003866143", 
              "https://doi.org/10.1038/nbt.2345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004092181", 
              "https://doi.org/10.1038/nature13118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/adhm.201600483", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006744279"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep21685", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008482725", 
              "https://doi.org/10.1038/srep21685"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmat4782", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010952054", 
              "https://doi.org/10.1038/nmat4782"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc3944", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011145440", 
              "https://doi.org/10.1038/nrc3944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0910-904", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011601943", 
              "https://doi.org/10.1038/nbt0910-904"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0910-904", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011601943", 
              "https://doi.org/10.1038/nbt0910-904"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-03-0384", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011849209"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2284", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012514299", 
              "https://doi.org/10.1038/nbt.2284"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrn2175", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013569659", 
              "https://doi.org/10.1038/nrn2175"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.stem.2011.04.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015770647"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc3712", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015827322", 
              "https://doi.org/10.1038/nrc3712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature14363", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016163093", 
              "https://doi.org/10.1038/nature14363"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms4935", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016909743", 
              "https://doi.org/10.1038/ncomms4935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1253533", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020575049"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c6lc00450d", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020681951"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2977", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021948950", 
              "https://doi.org/10.1038/nbt.2977"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022621774", 
              "https://doi.org/10.1038/nmeth1015"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/cddis.2014.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023241231", 
              "https://doi.org/10.1038/cddis.2014.111"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biomaterials.2011.07.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025052853"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.mee.2008.11.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027549586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3586", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031219903", 
              "https://doi.org/10.1038/nbt.3586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biomaterials.2014.03.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031384057"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biomaterials.2013.02.045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033995342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biomaterials.2013.02.045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033995342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2010.216", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034979499", 
              "https://doi.org/10.1038/onc.2010.216"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2010.216", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034979499", 
              "https://doi.org/10.1038/onc.2010.216"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biomaterials.2010.03.062", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035184843"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-14-3616", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035678800"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/adma.201404896", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036718958"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2004.11.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037243137"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2989", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040859225", 
              "https://doi.org/10.1038/nbt.2989"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1254721", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043398287"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2007.08.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049940339"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0140131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050867904"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature12626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051222405", 
              "https://doi.org/10.1038/nature12626"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2014.08.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052794984"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11523-013-0294-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053007304", 
              "https://doi.org/10.1007/s11523-013-0294-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11523-013-0294-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053007304", 
              "https://doi.org/10.1007/s11523-013-0294-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc.2016.140", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053863419", 
              "https://doi.org/10.1038/nrc.2016.140"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/la303552m", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056156994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.4024570", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062149888"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074856834", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/neuonc/now207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083583217"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7150/thno.19396", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091013926"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2015.33.15_suppl.2558", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112618332"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-03-18", 
        "datePublishedReg": "2019-03-18", 
        "description": "Patient-specific ex vivo models of human tumours that recapitulate the pathological characteristics and complex ecology of native tumours could help determine the most appropriate cancer treatment for individual patients. Here, we show that bioprinted reconstituted glioblastoma tumours consisting of patient-derived tumour cells, vascular endothelial cells and decellularized extracellular matrix from brain tissue in a compartmentalized cancer\u2013stroma concentric-ring structure that sustains a radial oxygen gradient, recapitulate the structural, biochemical and biophysical properties of the native tumours. We also show that the glioblastoma-on-a-chip reproduces clinically observed patient-specific resistances to treatment with concurrent chemoradiation and temozolomide, and that the model can be used to determine drug combinations associated with superior tumour killing. The patient-specific tumour-on-a-chip model might be useful for the identification of effective treatments for glioblastoma patients resistant to the standard first-line treatment. A tumour-on-a-chip model featuring patient-derived glioblastoma cells, vascular endothelial cells and decellularized extracellular matrix from brain tissue can be used to identify patient-specific resistance to standard chemoradiotherapy.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41551-019-0363-x", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7495634", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7450500", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7497555", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1284437", 
            "issn": [
              "2157-846X"
            ], 
            "name": "Nature Biomedical Engineering", 
            "type": "Periodical"
          }
        ], 
        "name": "A bioprinted human-glioblastoma-on-a-chip for the identification of patient-specific responses to chemoradiotherapy", 
        "pagination": "1-11", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "565de7f23c393bddf99a3f4cb71edd3bc8de5adae00531d9aea794510effb44e"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41551-019-0363-x"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112852747"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41551-019-0363-x", 
          "https://app.dimensions.ai/details/publication/pub.1112852747"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:23", 
        "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/v90/0000000362_0000000362/records_87091_00000002.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41551-019-0363-x"
      }
    ]
     

    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.10.1038/s41551-019-0363-x'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41551-019-0363-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41551-019-0363-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41551-019-0363-x'


     

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

    314 TRIPLES      21 PREDICATES      74 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41551-019-0363-x schema:about anzsrc-for:11
    2 anzsrc-for:1112
    3 schema:author N5ad2a2f5bfb04d4a9db9e164d9c56d53
    4 schema:citation sg:pub.10.1007/s11523-013-0294-5
    5 sg:pub.10.1038/cddis.2014.111
    6 sg:pub.10.1038/nature12626
    7 sg:pub.10.1038/nature13118
    8 sg:pub.10.1038/nature13952
    9 sg:pub.10.1038/nature14363
    10 sg:pub.10.1038/nbt.2284
    11 sg:pub.10.1038/nbt.2345
    12 sg:pub.10.1038/nbt.2977
    13 sg:pub.10.1038/nbt.2989
    14 sg:pub.10.1038/nbt.3586
    15 sg:pub.10.1038/nbt0910-904
    16 sg:pub.10.1038/ncomms4935
    17 sg:pub.10.1038/nm1684
    18 sg:pub.10.1038/nmat4782
    19 sg:pub.10.1038/nmeth1015
    20 sg:pub.10.1038/nprot.2012.051
    21 sg:pub.10.1038/nrc.2016.140
    22 sg:pub.10.1038/nrc3712
    23 sg:pub.10.1038/nrc3944
    24 sg:pub.10.1038/nrn2175
    25 sg:pub.10.1038/onc.2010.216
    26 sg:pub.10.1038/srep21685
    27 https://app.dimensions.ai/details/publication/pub.1074856834
    28 https://doi.org/10.1002/adhm.201600483
    29 https://doi.org/10.1002/adma.201404896
    30 https://doi.org/10.1002/ijc.28680
    31 https://doi.org/10.1016/j.biomaterials.2010.03.062
    32 https://doi.org/10.1016/j.biomaterials.2011.07.005
    33 https://doi.org/10.1016/j.biomaterials.2013.02.045
    34 https://doi.org/10.1016/j.biomaterials.2014.03.003
    35 https://doi.org/10.1016/j.ccr.2012.02.022
    36 https://doi.org/10.1016/j.cell.2007.08.006
    37 https://doi.org/10.1016/j.cell.2014.08.016
    38 https://doi.org/10.1016/j.mee.2008.11.026
    39 https://doi.org/10.1016/j.stem.2011.04.013
    40 https://doi.org/10.1016/j.tibtech.2016.06.012
    41 https://doi.org/10.1021/la303552m
    42 https://doi.org/10.1039/c6lc00450d
    43 https://doi.org/10.1093/neuonc/now207
    44 https://doi.org/10.1115/1.4024570
    45 https://doi.org/10.1126/science.1253533
    46 https://doi.org/10.1126/science.1254721
    47 https://doi.org/10.1158/0008-5472.can-14-3616
    48 https://doi.org/10.1158/1078-0432.ccr-03-0384
    49 https://doi.org/10.1200/jco.2004.11.019
    50 https://doi.org/10.1200/jco.2015.33.15_suppl.2558
    51 https://doi.org/10.1371/journal.pone.0140131
    52 https://doi.org/10.5607/en.2015.24.3.235
    53 https://doi.org/10.7150/thno.19396
    54 schema:datePublished 2019-03-18
    55 schema:datePublishedReg 2019-03-18
    56 schema:description Patient-specific ex vivo models of human tumours that recapitulate the pathological characteristics and complex ecology of native tumours could help determine the most appropriate cancer treatment for individual patients. Here, we show that bioprinted reconstituted glioblastoma tumours consisting of patient-derived tumour cells, vascular endothelial cells and decellularized extracellular matrix from brain tissue in a compartmentalized cancer–stroma concentric-ring structure that sustains a radial oxygen gradient, recapitulate the structural, biochemical and biophysical properties of the native tumours. We also show that the glioblastoma-on-a-chip reproduces clinically observed patient-specific resistances to treatment with concurrent chemoradiation and temozolomide, and that the model can be used to determine drug combinations associated with superior tumour killing. The patient-specific tumour-on-a-chip model might be useful for the identification of effective treatments for glioblastoma patients resistant to the standard first-line treatment. A tumour-on-a-chip model featuring patient-derived glioblastoma cells, vascular endothelial cells and decellularized extracellular matrix from brain tissue can be used to identify patient-specific resistance to standard chemoradiotherapy.
    57 schema:genre research_article
    58 schema:inLanguage en
    59 schema:isAccessibleForFree false
    60 schema:isPartOf sg:journal.1284437
    61 schema:name A bioprinted human-glioblastoma-on-a-chip for the identification of patient-specific responses to chemoradiotherapy
    62 schema:pagination 1-11
    63 schema:productId N7c47cac334c040779030b3fcea9ab472
    64 Neeef8225fc554f08b9d1c94623cd2985
    65 Nf1979c9961384175866543f93ab69363
    66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112852747
    67 https://doi.org/10.1038/s41551-019-0363-x
    68 schema:sdDatePublished 2019-04-11T12:23
    69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    70 schema:sdPublisher N722ad072729b4693983bfe575077e7d8
    71 schema:url https://www.nature.com/articles/s41551-019-0363-x
    72 sgo:license sg:explorer/license/
    73 sgo:sdDataset articles
    74 rdf:type schema:ScholarlyArticle
    75 N07b3abe5a8084dc4b29d2559b500d8c7 rdf:first Ne5a6a57479ab4cbf8d44382a708d12dd
    76 rdf:rest N95d1c84840404c43b6fd759a3730af2d
    77 N095d5ccd73744d6e845ce73a4b4e3092 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    78 schema:familyName Paek
    79 schema:givenName Sun Ha
    80 rdf:type schema:Person
    81 N1d5b02a17f234b5586b30431eaa52da3 schema:affiliation https://www.grid.ac/institutes/grid.49100.3c
    82 schema:familyName Jang
    83 schema:givenName Jinah
    84 rdf:type schema:Person
    85 N1d87c4720d3f4227b5466c918add8b52 rdf:first N352ef3ed49f541ba8ce4f7f1c72704f2
    86 rdf:rest Nc55019a1bd014bab9bc3079a1aedba0c
    87 N1ecafcfe5f2a4196bd1eb036a50fc194 rdf:first Nf82d14f1d0fd43289594619882ceabb3
    88 rdf:rest N1d87c4720d3f4227b5466c918add8b52
    89 N331f37920d92411a9a10dc261f680b50 rdf:first N76e7b3d60ea046c28b624e1b73aa2847
    90 rdf:rest N8a092a3732714a41a9dcb76bf40b5ca7
    91 N352ef3ed49f541ba8ce4f7f1c72704f2 schema:affiliation https://www.grid.ac/institutes/grid.49100.3c
    92 schema:familyName Bae
    93 schema:givenName Mihyeon
    94 rdf:type schema:Person
    95 N36776518e18d4302bc9a40d849271b88 rdf:first N095d5ccd73744d6e845ce73a4b4e3092
    96 rdf:rest Nf81c90d305b24319a3b2f4ae2614c4c0
    97 N390b54488fb9457f96f9f6b3ccdee7a9 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    98 schema:familyName Kim
    99 schema:givenName Yona
    100 rdf:type schema:Person
    101 N572fbcc45e1b4bb5998cf5923cfa8d37 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    102 schema:familyName Youn
    103 schema:givenName Hyewon
    104 rdf:type schema:Person
    105 N5ad2a2f5bfb04d4a9db9e164d9c56d53 rdf:first Nbd7e171fc17143eaba2a88acc489ef8f
    106 rdf:rest N07b3abe5a8084dc4b29d2559b500d8c7
    107 N64971d2f560f4c39a0df1edb5f5dd846 schema:affiliation https://www.grid.ac/institutes/grid.49100.3c
    108 schema:familyName Cho
    109 schema:givenName Dong-Woo
    110 rdf:type schema:Person
    111 N722ad072729b4693983bfe575077e7d8 schema:name Springer Nature - SN SciGraph project
    112 rdf:type schema:Organization
    113 N76e7b3d60ea046c28b624e1b73aa2847 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    114 schema:familyName Moon
    115 schema:givenName Hyo Eun
    116 rdf:type schema:Person
    117 N7c47cac334c040779030b3fcea9ab472 schema:name doi
    118 schema:value 10.1038/s41551-019-0363-x
    119 rdf:type schema:PropertyValue
    120 N7ee23012da94400fa5c6a3e909d66a39 rdf:first N572fbcc45e1b4bb5998cf5923cfa8d37
    121 rdf:rest N36776518e18d4302bc9a40d849271b88
    122 N8a092a3732714a41a9dcb76bf40b5ca7 rdf:first Ne154a167187f4c83b5d2d4b7b3b70b96
    123 rdf:rest N1ecafcfe5f2a4196bd1eb036a50fc194
    124 N95d1c84840404c43b6fd759a3730af2d rdf:first N390b54488fb9457f96f9f6b3ccdee7a9
    125 rdf:rest Nadcb6de62d9949c98610edb6d9ab7510
    126 Nadcb6de62d9949c98610edb6d9ab7510 rdf:first Nf70aa91771b84b55a8f43b99670d781a
    127 rdf:rest N331f37920d92411a9a10dc261f680b50
    128 Nbd7e171fc17143eaba2a88acc489ef8f schema:affiliation https://www.grid.ac/institutes/grid.49100.3c
    129 schema:familyName Yi
    130 schema:givenName Hee-Gyeong
    131 rdf:type schema:Person
    132 Nc55019a1bd014bab9bc3079a1aedba0c rdf:first N1d5b02a17f234b5586b30431eaa52da3
    133 rdf:rest N7ee23012da94400fa5c6a3e909d66a39
    134 Ne154a167187f4c83b5d2d4b7b3b70b96 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    135 schema:familyName Park
    136 schema:givenName Sung Hye
    137 rdf:type schema:Person
    138 Ne5a6a57479ab4cbf8d44382a708d12dd schema:affiliation https://www.grid.ac/institutes/grid.258803.4
    139 schema:familyName Jeong
    140 schema:givenName Young Hun
    141 rdf:type schema:Person
    142 Neeef8225fc554f08b9d1c94623cd2985 schema:name readcube_id
    143 schema:value 565de7f23c393bddf99a3f4cb71edd3bc8de5adae00531d9aea794510effb44e
    144 rdf:type schema:PropertyValue
    145 Nf1979c9961384175866543f93ab69363 schema:name dimensions_id
    146 schema:value pub.1112852747
    147 rdf:type schema:PropertyValue
    148 Nf70aa91771b84b55a8f43b99670d781a schema:affiliation https://www.grid.ac/institutes/grid.410902.e
    149 schema:familyName Choi
    150 schema:givenName Yeong-Jin
    151 rdf:type schema:Person
    152 Nf81c90d305b24319a3b2f4ae2614c4c0 rdf:first N64971d2f560f4c39a0df1edb5f5dd846
    153 rdf:rest rdf:nil
    154 Nf82d14f1d0fd43289594619882ceabb3 schema:affiliation https://www.grid.ac/institutes/grid.422658.f
    155 schema:familyName Kang
    156 schema:givenName Kyung Shin
    157 rdf:type schema:Person
    158 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    159 schema:name Medical and Health Sciences
    160 rdf:type schema:DefinedTerm
    161 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    162 schema:name Oncology and Carcinogenesis
    163 rdf:type schema:DefinedTerm
    164 sg:grant.7450500 http://pending.schema.org/fundedItem sg:pub.10.1038/s41551-019-0363-x
    165 rdf:type schema:MonetaryGrant
    166 sg:grant.7495634 http://pending.schema.org/fundedItem sg:pub.10.1038/s41551-019-0363-x
    167 rdf:type schema:MonetaryGrant
    168 sg:grant.7497555 http://pending.schema.org/fundedItem sg:pub.10.1038/s41551-019-0363-x
    169 rdf:type schema:MonetaryGrant
    170 sg:journal.1284437 schema:issn 2157-846X
    171 schema:name Nature Biomedical Engineering
    172 rdf:type schema:Periodical
    173 sg:pub.10.1007/s11523-013-0294-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053007304
    174 https://doi.org/10.1007/s11523-013-0294-5
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1038/cddis.2014.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023241231
    177 https://doi.org/10.1038/cddis.2014.111
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1038/nature12626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051222405
    180 https://doi.org/10.1038/nature12626
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1038/nature13118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004092181
    183 https://doi.org/10.1038/nature13118
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1038/nature13952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003619190
    186 https://doi.org/10.1038/nature13952
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1038/nature14363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016163093
    189 https://doi.org/10.1038/nature14363
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1038/nbt.2284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012514299
    192 https://doi.org/10.1038/nbt.2284
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1038/nbt.2345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003866143
    195 https://doi.org/10.1038/nbt.2345
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1038/nbt.2977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021948950
    198 https://doi.org/10.1038/nbt.2977
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1038/nbt.2989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040859225
    201 https://doi.org/10.1038/nbt.2989
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1038/nbt.3586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031219903
    204 https://doi.org/10.1038/nbt.3586
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1038/nbt0910-904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011601943
    207 https://doi.org/10.1038/nbt0910-904
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1038/ncomms4935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016909743
    210 https://doi.org/10.1038/ncomms4935
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1038/nm1684 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003784791
    213 https://doi.org/10.1038/nm1684
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1038/nmat4782 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010952054
    216 https://doi.org/10.1038/nmat4782
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1038/nmeth1015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022621774
    219 https://doi.org/10.1038/nmeth1015
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1038/nprot.2012.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003108140
    222 https://doi.org/10.1038/nprot.2012.051
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1038/nrc.2016.140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053863419
    225 https://doi.org/10.1038/nrc.2016.140
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1038/nrc3712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015827322
    228 https://doi.org/10.1038/nrc3712
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1038/nrc3944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011145440
    231 https://doi.org/10.1038/nrc3944
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1038/nrn2175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013569659
    234 https://doi.org/10.1038/nrn2175
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/onc.2010.216 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034979499
    237 https://doi.org/10.1038/onc.2010.216
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1038/srep21685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008482725
    240 https://doi.org/10.1038/srep21685
    241 rdf:type schema:CreativeWork
    242 https://app.dimensions.ai/details/publication/pub.1074856834 schema:CreativeWork
    243 https://doi.org/10.1002/adhm.201600483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006744279
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1002/adma.201404896 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036718958
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1002/ijc.28680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001281636
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1016/j.biomaterials.2010.03.062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035184843
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1016/j.biomaterials.2011.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025052853
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1016/j.biomaterials.2013.02.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033995342
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1016/j.biomaterials.2014.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031384057
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1016/j.ccr.2012.02.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002516265
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1016/j.cell.2007.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049940339
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1016/j.cell.2014.08.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052794984
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1016/j.mee.2008.11.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027549586
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1016/j.stem.2011.04.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015770647
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1016/j.tibtech.2016.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002838234
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1021/la303552m schema:sameAs https://app.dimensions.ai/details/publication/pub.1056156994
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1039/c6lc00450d schema:sameAs https://app.dimensions.ai/details/publication/pub.1020681951
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1093/neuonc/now207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083583217
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1115/1.4024570 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062149888
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1126/science.1253533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020575049
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1126/science.1254721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043398287
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1158/0008-5472.can-14-3616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035678800
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1158/1078-0432.ccr-03-0384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011849209
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1200/jco.2004.11.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037243137
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1200/jco.2015.33.15_suppl.2558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112618332
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1371/journal.pone.0140131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050867904
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.5607/en.2015.24.3.235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001639863
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.7150/thno.19396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091013926
    294 rdf:type schema:CreativeWork
    295 https://www.grid.ac/institutes/grid.258803.4 schema:alternateName Kyungpook National University
    296 schema:name School of Mechanical Engineering, Kyungpook National University, Daegu, Korea
    297 rdf:type schema:Organization
    298 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
    299 schema:name Department of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Korea
    300 Department of Nuclear Medicine and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
    301 Department of Pathology, Seoul National University College of Medicine, Seoul, Korea
    302 rdf:type schema:Organization
    303 https://www.grid.ac/institutes/grid.410902.e schema:alternateName Korea Institute of Materials Science
    304 schema:name Division of Integrative Biosciences and Biotechnology, POSTECH, Pohang, Korea
    305 Powder & Ceramics Division, Korea Institute of Materials Science, Changwon, Korea
    306 rdf:type schema:Organization
    307 https://www.grid.ac/institutes/grid.422658.f schema:alternateName Anderson University
    308 schema:name School of Physical Sciences and Engineering, Anderson University, Anderson, IN, USA
    309 rdf:type schema:Organization
    310 https://www.grid.ac/institutes/grid.49100.3c schema:alternateName Pohang University of Science and Technology
    311 schema:name Department of Creative IT Engineering, POSTECH, Pohang, Korea
    312 Department of Mechanical Engineering, POSTECH, Pohang, Korea
    313 School of Interdisciplinary Bioscience and Bioengineering, POSTECH, Pohang, Korea
    314 rdf:type schema:Organization
     




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


    ...