Microenvironmental niche divergence shapes BRCA1-dysregulated ovarian cancer morphological plasticity View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Andreas Heindl, Adnan Mujahid Khan, Daniel Nava Rodrigues, Katherine Eason, Anguraj Sadanandam, Cecilia Orbegoso, Marco Punta, Andrea Sottoriva, Stefano Lise, Susana Banerjee, Yinyin Yuan

ABSTRACT

How tumor microenvironmental forces shape plasticity of cancer cell morphology is poorly understood. Here, we conduct automated histology image and spatial statistical analyses in 514 high grade serous ovarian samples to define cancer morphological diversification within the spatial context of the microenvironment. Tumor spatial zones, where cancer cell nuclei diversify in shape, are mapped in each tumor. Integration of this spatially explicit analysis with omics and clinical data reveals a relationship between morphological diversification and the dysregulation of DNA repair, loss of nuclear integrity, and increased disease mortality. Within the Immunoreactive subtype, spatial analysis further reveals significantly lower lymphocytic infiltration within diversified zones compared with other tumor zones, suggesting that even immune-hot tumors contain cells capable of immune escape. Our findings support a model whereby a subpopulation of morphologically plastic cancer cells with dysregulated DNA repair promotes ovarian cancer progression through positive selection by immune evasion. More... »

PAGES

3917

References to SciGraph publications

  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2016-01. Pan-cancer analysis of the extent and consequences of intratumor heterogeneity in NATURE MEDICINE
  • 2014-12. Combined image and genomic analysis of high-grade serous ovarian cancer reveals PTEN loss as a common driver event and prognostic classifier in GENOME BIOLOGY
  • 2015-11. Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes in NATURE BIOTECHNOLOGY
  • 2016-12. The Ensembl Variant Effect Predictor in GENOME BIOLOGY
  • 2010-05. Pathology of hereditary breast cancer in MODERN PATHOLOGY
  • 2013-03. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples in NATURE BIOTECHNOLOGY
  • 2005-05. The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging in GENOME BIOLOGY
  • 2011-06-29. Integrated genomic analyses of ovarian carcinoma in NATURE
  • 2015-12. Quantitative histology analysis of the ovarian tumour microenvironment in SCIENTIFIC REPORTS
  • 2003-05. Disruption of the Fanconi anemia–BRCA pathway in cisplatin-sensitive ovarian tumors in NATURE MEDICINE
  • 2012-01. Clonal evolution in cancer in NATURE
  • 2009-02. A tense situation: forcing tumour progression in NATURE REVIEWS CANCER
  • 2010-12. Characterization of the role of the tumor marker Nup88 in mitosis in MOLECULAR CANCER
  • 2012-07. Evolutionary dynamics of carcinogenesis and why targeted therapy does not work in NATURE REVIEWS CANCER
  • 2012-03. The nuclear envelope environment and its cancer connections in NATURE REVIEWS CANCER
  • 2014-12. Global dynamic optimization approach to predict activation in metabolic pathways in BMC SYSTEMS BIOLOGY
  • 2015-12. Systematic pan-cancer analysis of tumour purity in NATURE COMMUNICATIONS
  • 2008-12. A unified approach to false discovery rate estimation in BMC BIOINFORMATICS
  • 2015-12. An ecological measure of immune-cancer colocalization as a prognostic factor for breast cancer in BREAST CANCER RESEARCH
  • 2005-04. Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy in NATURE
  • 2013-09. Influence of tumour micro-environment heterogeneity on therapeutic response in NATURE
  • 2014-08. Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications in NATURE GENETICS
  • 2004-09. Bioconductor: open software development for computational biology and bioinformatics in GENOME BIOLOGY
  • 2015-05. Robust enumeration of cell subsets from tissue expression profiles in NATURE METHODS
  • 2017-12. Hyper-Stain Inspector: A Framework for Robust Registration and Localised Co-Expression Analysis of Multiple Whole-Slide Images of Serial Histology Sections in SCIENTIFIC REPORTS
  • 2014-12. Integrative network analysis of TCGA data for ovarian cancer in BMC SYSTEMS BIOLOGY
  • 2013-12. Inferring tumour purity and stromal and immune cell admixture from expression data in NATURE COMMUNICATIONS
  • 2012-04. Morphologic patterns associated with BRCA1 and BRCA2 genotype in ovarian carcinoma in MODERN PATHOLOGY
  • 2016-12. NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets in GENOME MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-018-06130-3

    DOI

    http://dx.doi.org/10.1038/s41467-018-06130-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107107969

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30254278


    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": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Centre for Evolution and Cancer, The Institute of Cancer Research, SM2 5NG, London, UK", 
                "Division of Molecular Pathology, The Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Heindl", 
            "givenName": "Andreas", 
            "id": "sg:person.0645077332.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645077332.77"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Centre for Evolution and Cancer, The Institute of Cancer Research, SM2 5NG, London, UK", 
                "Division of Molecular Pathology, The Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Khan", 
            "givenName": "Adnan Mujahid", 
            "id": "sg:person.0704134134.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704134134.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Division of Cancer Therapeutics, The Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rodrigues", 
            "givenName": "Daniel Nava", 
            "id": "sg:person.0635517671.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635517671.87"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Division of Molecular Pathology, The Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Eason", 
            "givenName": "Katherine", 
            "id": "sg:person.012150301427.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012150301427.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Royal Marsden Hospital", 
              "id": "https://www.grid.ac/institutes/grid.424926.f", 
              "name": [
                "Division of Molecular Pathology, The Institute of Cancer Research, SM2 5NG, London, UK", 
                "Centre for Molecular Pathology, Royal Marsden Hospital, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sadanandam", 
            "givenName": "Anguraj", 
            "id": "sg:person.01052433537.19", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052433537.19"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Royal Marsden NHS Foundation Trust", 
              "id": "https://www.grid.ac/institutes/grid.5072.0", 
              "name": [
                "Gynaecology Unit, The Royal Marsden NHS Foundation Trust, SW3 6JJ, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Orbegoso", 
            "givenName": "Cecilia", 
            "id": "sg:person.013430272063.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013430272063.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Centre for Evolution and Cancer, The Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Punta", 
            "givenName": "Marco", 
            "id": "sg:person.0662221574.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662221574.54"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Centre for Evolution and Cancer, The Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sottoriva", 
            "givenName": "Andrea", 
            "id": "sg:person.0743051442.75", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743051442.75"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Centre for Evolution and Cancer, The Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lise", 
            "givenName": "Stefano", 
            "id": "sg:person.01267467014.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267467014.09"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Gynaecology Unit, The Royal Marsden NHS Foundation Trust, SW3 6JJ, London, UK", 
                "Division of Clinical Studies, the Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Banerjee", 
            "givenName": "Susana", 
            "id": "sg:person.01326353035.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326353035.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Cancer Research", 
              "id": "https://www.grid.ac/institutes/grid.18886.3f", 
              "name": [
                "Centre for Evolution and Cancer, The Institute of Cancer Research, SM2 5NG, London, UK", 
                "Division of Molecular Pathology, The Institute of Cancer Research, SM2 5NG, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yuan", 
            "givenName": "Yinyin", 
            "id": "sg:person.01214013553.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214013553.09"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nbt.2514", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000477771", 
              "https://doi.org/10.1038/nbt.2514"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10166", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000736346", 
              "https://doi.org/10.1038/nature10166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1476-4598-9-119", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001045163", 
              "https://doi.org/10.1186/1476-4598-9-119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/jcs.03009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003502490"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.00087-09", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004640963"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004732944", 
              "https://doi.org/10.1038/nmeth.3337"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004732944", 
              "https://doi.org/10.1038/nmeth.3337"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-016-0974-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005070991", 
              "https://doi.org/10.1186/s13059-016-0974-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-016-0974-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005070991", 
              "https://doi.org/10.1186/s13059-016-0974-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/scitranslmed.3004330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005234727"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3344", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005491724", 
              "https://doi.org/10.1038/nbt.3344"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1538-4632.1995.tb00338.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005958961"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1538-4632.1995.tb00338.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005958961"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1538-4632.1995.tb00912.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006942029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1538-4632.1995.tb00912.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006942029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolmodel.2007.06.033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007761878"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0002988", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009676558"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2005-6-5-r47", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009985903", 
              "https://doi.org/10.1186/gb-2005-6-5-r47"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1172/jci65833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010389906"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/2159-8290.cd-12-0095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011831914"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/jcs.067009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014528705"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.apgeog.2013.02.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015800153"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkv007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016098431"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13073-016-0288-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016862085", 
              "https://doi.org/10.1186/s13073-016-0288-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/28.1.27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017305614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc2544", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017337522", 
              "https://doi.org/10.1038/nrc2544"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1091/mbc.e10-05-0463", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017776205"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2004-5-10-r80", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018457673", 
              "https://doi.org/10.1186/gb-2004-5-10-r80"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm852", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019055785", 
              "https://doi.org/10.1038/nm852"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm852", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019055785", 
              "https://doi.org/10.1038/nm852"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/2159-8290.cd-15-0344", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022930000"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep16317", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023674215", 
              "https://doi.org/10.1038/srep16317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4161/cc.10.15.16531", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024954977"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025073244"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.febslet.2010.05.038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025493038"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2013.02.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025604870"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12918-014-0136-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027008631", 
              "https://doi.org/10.1186/s12918-014-0136-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12918-014-0136-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027008631", 
              "https://doi.org/10.1186/s12918-014-0136-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-16-0081", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027594068"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-06-0140", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028297244"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms9971", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033106726", 
              "https://doi.org/10.1038/ncomms9971"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/scisignal.2004088", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033807182"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037327856", 
              "https://doi.org/10.1038/ng.3036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc3219", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037449878", 
              "https://doi.org/10.1038/nrc3219"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-8-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037789939", 
              "https://doi.org/10.1186/1752-0509-8-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/modpathol.2011.183", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037957067", 
              "https://doi.org/10.1038/modpathol.2011.183"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-13-3368", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038312528"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ygyno.2016.03.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038892523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03445", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039649759", 
              "https://doi.org/10.1038/nature03445"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03445", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039649759", 
              "https://doi.org/10.1038/nature03445"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m111.233700", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039981598"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.15252/msb.20145644", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040611671"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-9-303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041933952", 
              "https://doi.org/10.1186/1471-2105-9-303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-9-303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041933952", 
              "https://doi.org/10.1186/1471-2105-9-303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/modpathol.2010.37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042311033", 
              "https://doi.org/10.1038/modpathol.2010.37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/modpathol.2010.37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042311033", 
              "https://doi.org/10.1038/modpathol.2010.37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/emboj.2011.215", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042948852"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/75556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135237", 
              "https://doi.org/10.1038/75556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/75556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135237", 
              "https://doi.org/10.1038/75556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt759", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046178382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-12-2243", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046423104"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.3984", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047704521", 
              "https://doi.org/10.1038/nm.3984"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.12106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049223497"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-08-0196", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049534215"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1091/mbc.e08-08-0883", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049817513"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/bg-11-2401-2014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050128188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ceb.2010.10.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050897380"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms3612", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051130672", 
              "https://doi.org/10.1038/ncomms3612"
            ], 
            "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": "sg:pub.10.1186/s13059-014-0526-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052041316", 
              "https://doi.org/10.1186/s13059-014-0526-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0526-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052041316", 
              "https://doi.org/10.1186/s13059-014-0526-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0526-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052041316", 
              "https://doi.org/10.1186/s13059-014-0526-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2353/ajpath.2006.050971", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052284434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc3298", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052892075", 
              "https://doi.org/10.1038/nrc3298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13058-015-0638-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052970546", 
              "https://doi.org/10.1186/s13058-015-0638-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10762", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053038796", 
              "https://doi.org/10.1038/nature10762"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/pr100921j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056292355"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/pr800820z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056294645"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/cshperspect.a026583", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060407215"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tbme.2014.2303294", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061529499"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-15-2762", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063225240"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1198/016214502760047131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064198019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074546869", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074873071", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-05511-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090637360", 
              "https://doi.org/10.1038/s41598-017-05511-w"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-12", 
        "datePublishedReg": "2018-12-01", 
        "description": "How tumor microenvironmental forces shape plasticity of cancer cell morphology is poorly understood. Here, we conduct automated histology image and spatial statistical analyses in 514 high grade serous ovarian samples to define cancer morphological diversification within the spatial context of the microenvironment. Tumor spatial zones, where cancer cell nuclei diversify in shape, are mapped in each tumor. Integration of this spatially explicit analysis with omics and clinical data reveals a relationship between morphological diversification and the dysregulation of DNA repair, loss of nuclear integrity, and increased disease mortality. Within the Immunoreactive subtype, spatial analysis further reveals significantly lower lymphocytic infiltration within diversified zones compared with other tumor zones, suggesting that even immune-hot tumors contain cells capable of immune escape. Our findings support a model whereby a subpopulation of morphologically plastic cancer cells with dysregulated DNA repair promotes ovarian cancer progression through positive selection by immune evasion.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41467-018-06130-3", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7751096", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6666129", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4579368", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7441846", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1043282", 
            "issn": [
              "2041-1723"
            ], 
            "name": "Nature Communications", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "name": "Microenvironmental niche divergence shapes BRCA1-dysregulated ovarian cancer morphological plasticity", 
        "pagination": "3917", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "1aa4675a30a041c836b0db61ae1b257a75dbf5fc30131613d4a723db9d7787de"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30254278"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101528555"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41467-018-06130-3"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1107107969"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41467-018-06130-3", 
          "https://app.dimensions.ai/details/publication/pub.1107107969"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T15:07", 
        "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/v90/0000000001_0000000264/records_8663_00000544.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41467-018-06130-3"
      }
    ]
     

    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/s41467-018-06130-3'

    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/s41467-018-06130-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-06130-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-06130-3'


     

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

    404 TRIPLES      21 PREDICATES      102 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41467-018-06130-3 schema:about anzsrc-for:11
    2 anzsrc-for:1112
    3 schema:author N2fc57da8bd7749df99b63edbe23c4cdb
    4 schema:citation sg:pub.10.1038/75556
    5 sg:pub.10.1038/modpathol.2010.37
    6 sg:pub.10.1038/modpathol.2011.183
    7 sg:pub.10.1038/nature03445
    8 sg:pub.10.1038/nature10166
    9 sg:pub.10.1038/nature10762
    10 sg:pub.10.1038/nature12626
    11 sg:pub.10.1038/nbt.2514
    12 sg:pub.10.1038/nbt.3344
    13 sg:pub.10.1038/ncomms3612
    14 sg:pub.10.1038/ncomms9971
    15 sg:pub.10.1038/ng.3036
    16 sg:pub.10.1038/nm.3984
    17 sg:pub.10.1038/nm852
    18 sg:pub.10.1038/nmeth.3337
    19 sg:pub.10.1038/nrc2544
    20 sg:pub.10.1038/nrc3219
    21 sg:pub.10.1038/nrc3298
    22 sg:pub.10.1038/s41598-017-05511-w
    23 sg:pub.10.1038/srep16317
    24 sg:pub.10.1186/1471-2105-9-303
    25 sg:pub.10.1186/1476-4598-9-119
    26 sg:pub.10.1186/1752-0509-8-1
    27 sg:pub.10.1186/gb-2004-5-10-r80
    28 sg:pub.10.1186/gb-2005-6-5-r47
    29 sg:pub.10.1186/s12918-014-0136-9
    30 sg:pub.10.1186/s13058-015-0638-4
    31 sg:pub.10.1186/s13059-014-0526-8
    32 sg:pub.10.1186/s13059-016-0974-4
    33 sg:pub.10.1186/s13073-016-0288-x
    34 https://app.dimensions.ai/details/publication/pub.1074546869
    35 https://app.dimensions.ai/details/publication/pub.1074873071
    36 https://doi.org/10.1016/j.apgeog.2013.02.011
    37 https://doi.org/10.1016/j.ceb.2010.10.015
    38 https://doi.org/10.1016/j.cell.2013.02.015
    39 https://doi.org/10.1016/j.ecolmodel.2007.06.033
    40 https://doi.org/10.1016/j.febslet.2010.05.038
    41 https://doi.org/10.1016/j.ygyno.2016.03.010
    42 https://doi.org/10.1021/pr100921j
    43 https://doi.org/10.1021/pr800820z
    44 https://doi.org/10.1038/emboj.2011.215
    45 https://doi.org/10.1074/jbc.m111.233700
    46 https://doi.org/10.1091/mbc.e08-08-0883
    47 https://doi.org/10.1091/mbc.e10-05-0463
    48 https://doi.org/10.1093/bioinformatics/btr028
    49 https://doi.org/10.1093/bioinformatics/btt759
    50 https://doi.org/10.1093/nar/28.1.27
    51 https://doi.org/10.1093/nar/gkv007
    52 https://doi.org/10.1101/cshperspect.a026583
    53 https://doi.org/10.1109/tbme.2014.2303294
    54 https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
    55 https://doi.org/10.1111/j.1538-4632.1995.tb00912.x
    56 https://doi.org/10.1126/scisignal.2004088
    57 https://doi.org/10.1126/scitranslmed.3004330
    58 https://doi.org/10.1128/mcb.00087-09
    59 https://doi.org/10.1158/0008-5472.can-06-0140
    60 https://doi.org/10.1158/1078-0432.ccr-08-0196
    61 https://doi.org/10.1158/1078-0432.ccr-12-2243
    62 https://doi.org/10.1158/1078-0432.ccr-13-3368
    63 https://doi.org/10.1158/1078-0432.ccr-15-2762
    64 https://doi.org/10.1158/1078-0432.ccr-16-0081
    65 https://doi.org/10.1158/2159-8290.cd-12-0095
    66 https://doi.org/10.1158/2159-8290.cd-15-0344
    67 https://doi.org/10.1172/jci65833
    68 https://doi.org/10.1198/016214502760047131
    69 https://doi.org/10.1242/jcs.03009
    70 https://doi.org/10.1242/jcs.067009
    71 https://doi.org/10.1371/journal.pone.0002988
    72 https://doi.org/10.15252/msb.20145644
    73 https://doi.org/10.18632/oncotarget.12106
    74 https://doi.org/10.2353/ajpath.2006.050971
    75 https://doi.org/10.4161/cc.10.15.16531
    76 https://doi.org/10.5194/bg-11-2401-2014
    77 schema:datePublished 2018-12
    78 schema:datePublishedReg 2018-12-01
    79 schema:description How tumor microenvironmental forces shape plasticity of cancer cell morphology is poorly understood. Here, we conduct automated histology image and spatial statistical analyses in 514 high grade serous ovarian samples to define cancer morphological diversification within the spatial context of the microenvironment. Tumor spatial zones, where cancer cell nuclei diversify in shape, are mapped in each tumor. Integration of this spatially explicit analysis with omics and clinical data reveals a relationship between morphological diversification and the dysregulation of DNA repair, loss of nuclear integrity, and increased disease mortality. Within the Immunoreactive subtype, spatial analysis further reveals significantly lower lymphocytic infiltration within diversified zones compared with other tumor zones, suggesting that even immune-hot tumors contain cells capable of immune escape. Our findings support a model whereby a subpopulation of morphologically plastic cancer cells with dysregulated DNA repair promotes ovarian cancer progression through positive selection by immune evasion.
    80 schema:genre research_article
    81 schema:inLanguage en
    82 schema:isAccessibleForFree true
    83 schema:isPartOf N30bf6d94b2de4d49ac263e5d0dff769f
    84 N8da6349f119246009e787602d880b607
    85 sg:journal.1043282
    86 schema:name Microenvironmental niche divergence shapes BRCA1-dysregulated ovarian cancer morphological plasticity
    87 schema:pagination 3917
    88 schema:productId N10c50cb6e3b341e987c150127aba32ab
    89 N3d83042a79664ae295caef1ae8b38c67
    90 N99f1032250bc4746884c9d9b50d7fdde
    91 Nca024a2c229a438da20acf247b70ace3
    92 Nef999c638d0d4709800f86e14d041904
    93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107107969
    94 https://doi.org/10.1038/s41467-018-06130-3
    95 schema:sdDatePublished 2019-04-10T15:07
    96 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    97 schema:sdPublisher N7bdf6fc5f31544dcba5b9c1454e81ba0
    98 schema:url https://www.nature.com/articles/s41467-018-06130-3
    99 sgo:license sg:explorer/license/
    100 sgo:sdDataset articles
    101 rdf:type schema:ScholarlyArticle
    102 N0e891a207aa94479ac6530f98a9cc8e5 rdf:first sg:person.012150301427.68
    103 rdf:rest N18923d67510b4414b33570b252db37ba
    104 N10c50cb6e3b341e987c150127aba32ab schema:name dimensions_id
    105 schema:value pub.1107107969
    106 rdf:type schema:PropertyValue
    107 N18923d67510b4414b33570b252db37ba rdf:first sg:person.01052433537.19
    108 rdf:rest Nd8f6b60ba5414f41841e21fac6abd02f
    109 N2fc57da8bd7749df99b63edbe23c4cdb rdf:first sg:person.0645077332.77
    110 rdf:rest Ne2c2e158f76c41f49b91f4045c95981c
    111 N30bf6d94b2de4d49ac263e5d0dff769f schema:volumeNumber 9
    112 rdf:type schema:PublicationVolume
    113 N36b2ed9790224b568a1ad64cfa77ec0c rdf:first sg:person.0743051442.75
    114 rdf:rest N97025b73f6d7424ca7de6485154f1b41
    115 N3d83042a79664ae295caef1ae8b38c67 schema:name nlm_unique_id
    116 schema:value 101528555
    117 rdf:type schema:PropertyValue
    118 N74d9673a5a114bd9a16482bc5f9cee00 rdf:first sg:person.0635517671.87
    119 rdf:rest N0e891a207aa94479ac6530f98a9cc8e5
    120 N7bdf6fc5f31544dcba5b9c1454e81ba0 schema:name Springer Nature - SN SciGraph project
    121 rdf:type schema:Organization
    122 N8da6349f119246009e787602d880b607 schema:issueNumber 1
    123 rdf:type schema:PublicationIssue
    124 N97025b73f6d7424ca7de6485154f1b41 rdf:first sg:person.01267467014.09
    125 rdf:rest Nd74b01b8607545fcbf3bf6167cdb4371
    126 N99f1032250bc4746884c9d9b50d7fdde schema:name readcube_id
    127 schema:value 1aa4675a30a041c836b0db61ae1b257a75dbf5fc30131613d4a723db9d7787de
    128 rdf:type schema:PropertyValue
    129 Nc0a1109e54114f7aba0715655e887c8c rdf:first sg:person.01214013553.09
    130 rdf:rest rdf:nil
    131 Nc644d7477b3644ccb7ccaacbaf2a8f45 rdf:first sg:person.0662221574.54
    132 rdf:rest N36b2ed9790224b568a1ad64cfa77ec0c
    133 Nca024a2c229a438da20acf247b70ace3 schema:name pubmed_id
    134 schema:value 30254278
    135 rdf:type schema:PropertyValue
    136 Nd74b01b8607545fcbf3bf6167cdb4371 rdf:first sg:person.01326353035.21
    137 rdf:rest Nc0a1109e54114f7aba0715655e887c8c
    138 Nd8f6b60ba5414f41841e21fac6abd02f rdf:first sg:person.013430272063.59
    139 rdf:rest Nc644d7477b3644ccb7ccaacbaf2a8f45
    140 Ne2c2e158f76c41f49b91f4045c95981c rdf:first sg:person.0704134134.38
    141 rdf:rest N74d9673a5a114bd9a16482bc5f9cee00
    142 Nef999c638d0d4709800f86e14d041904 schema:name doi
    143 schema:value 10.1038/s41467-018-06130-3
    144 rdf:type schema:PropertyValue
    145 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    146 schema:name Medical and Health Sciences
    147 rdf:type schema:DefinedTerm
    148 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    149 schema:name Oncology and Carcinogenesis
    150 rdf:type schema:DefinedTerm
    151 sg:grant.4579368 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06130-3
    152 rdf:type schema:MonetaryGrant
    153 sg:grant.6666129 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06130-3
    154 rdf:type schema:MonetaryGrant
    155 sg:grant.7441846 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06130-3
    156 rdf:type schema:MonetaryGrant
    157 sg:grant.7751096 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-06130-3
    158 rdf:type schema:MonetaryGrant
    159 sg:journal.1043282 schema:issn 2041-1723
    160 schema:name Nature Communications
    161 rdf:type schema:Periodical
    162 sg:person.01052433537.19 schema:affiliation https://www.grid.ac/institutes/grid.424926.f
    163 schema:familyName Sadanandam
    164 schema:givenName Anguraj
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052433537.19
    166 rdf:type schema:Person
    167 sg:person.01214013553.09 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    168 schema:familyName Yuan
    169 schema:givenName Yinyin
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214013553.09
    171 rdf:type schema:Person
    172 sg:person.012150301427.68 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    173 schema:familyName Eason
    174 schema:givenName Katherine
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012150301427.68
    176 rdf:type schema:Person
    177 sg:person.01267467014.09 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    178 schema:familyName Lise
    179 schema:givenName Stefano
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267467014.09
    181 rdf:type schema:Person
    182 sg:person.01326353035.21 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    183 schema:familyName Banerjee
    184 schema:givenName Susana
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326353035.21
    186 rdf:type schema:Person
    187 sg:person.013430272063.59 schema:affiliation https://www.grid.ac/institutes/grid.5072.0
    188 schema:familyName Orbegoso
    189 schema:givenName Cecilia
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013430272063.59
    191 rdf:type schema:Person
    192 sg:person.0635517671.87 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    193 schema:familyName Rodrigues
    194 schema:givenName Daniel Nava
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635517671.87
    196 rdf:type schema:Person
    197 sg:person.0645077332.77 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    198 schema:familyName Heindl
    199 schema:givenName Andreas
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645077332.77
    201 rdf:type schema:Person
    202 sg:person.0662221574.54 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    203 schema:familyName Punta
    204 schema:givenName Marco
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662221574.54
    206 rdf:type schema:Person
    207 sg:person.0704134134.38 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    208 schema:familyName Khan
    209 schema:givenName Adnan Mujahid
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704134134.38
    211 rdf:type schema:Person
    212 sg:person.0743051442.75 schema:affiliation https://www.grid.ac/institutes/grid.18886.3f
    213 schema:familyName Sottoriva
    214 schema:givenName Andrea
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743051442.75
    216 rdf:type schema:Person
    217 sg:pub.10.1038/75556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044135237
    218 https://doi.org/10.1038/75556
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1038/modpathol.2010.37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042311033
    221 https://doi.org/10.1038/modpathol.2010.37
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1038/modpathol.2011.183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037957067
    224 https://doi.org/10.1038/modpathol.2011.183
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1038/nature03445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039649759
    227 https://doi.org/10.1038/nature03445
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1038/nature10166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000736346
    230 https://doi.org/10.1038/nature10166
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1038/nature10762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053038796
    233 https://doi.org/10.1038/nature10762
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1038/nature12626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051222405
    236 https://doi.org/10.1038/nature12626
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1038/nbt.2514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000477771
    239 https://doi.org/10.1038/nbt.2514
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1038/nbt.3344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005491724
    242 https://doi.org/10.1038/nbt.3344
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1038/ncomms3612 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051130672
    245 https://doi.org/10.1038/ncomms3612
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1038/ncomms9971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033106726
    248 https://doi.org/10.1038/ncomms9971
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1038/ng.3036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037327856
    251 https://doi.org/10.1038/ng.3036
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/nm.3984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047704521
    254 https://doi.org/10.1038/nm.3984
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/nm852 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019055785
    257 https://doi.org/10.1038/nm852
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1038/nmeth.3337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004732944
    260 https://doi.org/10.1038/nmeth.3337
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1038/nrc2544 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017337522
    263 https://doi.org/10.1038/nrc2544
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1038/nrc3219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037449878
    266 https://doi.org/10.1038/nrc3219
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/nrc3298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052892075
    269 https://doi.org/10.1038/nrc3298
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1038/s41598-017-05511-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1090637360
    272 https://doi.org/10.1038/s41598-017-05511-w
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1038/srep16317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023674215
    275 https://doi.org/10.1038/srep16317
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1186/1471-2105-9-303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041933952
    278 https://doi.org/10.1186/1471-2105-9-303
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1186/1476-4598-9-119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001045163
    281 https://doi.org/10.1186/1476-4598-9-119
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1186/1752-0509-8-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037789939
    284 https://doi.org/10.1186/1752-0509-8-1
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1186/gb-2004-5-10-r80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018457673
    287 https://doi.org/10.1186/gb-2004-5-10-r80
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1186/gb-2005-6-5-r47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009985903
    290 https://doi.org/10.1186/gb-2005-6-5-r47
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1186/s12918-014-0136-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027008631
    293 https://doi.org/10.1186/s12918-014-0136-9
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1186/s13058-015-0638-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052970546
    296 https://doi.org/10.1186/s13058-015-0638-4
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1186/s13059-014-0526-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052041316
    299 https://doi.org/10.1186/s13059-014-0526-8
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1186/s13059-016-0974-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005070991
    302 https://doi.org/10.1186/s13059-016-0974-4
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1186/s13073-016-0288-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016862085
    305 https://doi.org/10.1186/s13073-016-0288-x
    306 rdf:type schema:CreativeWork
    307 https://app.dimensions.ai/details/publication/pub.1074546869 schema:CreativeWork
    308 https://app.dimensions.ai/details/publication/pub.1074873071 schema:CreativeWork
    309 https://doi.org/10.1016/j.apgeog.2013.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015800153
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1016/j.ceb.2010.10.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050897380
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1016/j.cell.2013.02.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025604870
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1016/j.ecolmodel.2007.06.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007761878
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1016/j.febslet.2010.05.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025493038
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1016/j.ygyno.2016.03.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038892523
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1021/pr100921j schema:sameAs https://app.dimensions.ai/details/publication/pub.1056292355
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1021/pr800820z schema:sameAs https://app.dimensions.ai/details/publication/pub.1056294645
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1038/emboj.2011.215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042948852
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1074/jbc.m111.233700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039981598
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1091/mbc.e08-08-0883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049817513
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1091/mbc.e10-05-0463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017776205
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1093/bioinformatics/btr028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025073244
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1093/bioinformatics/btt759 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046178382
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1093/nar/28.1.27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017305614
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1093/nar/gkv007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016098431
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1101/cshperspect.a026583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060407215
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1109/tbme.2014.2303294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061529499
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1111/j.1538-4632.1995.tb00338.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005958961
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1111/j.1538-4632.1995.tb00912.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006942029
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1126/scisignal.2004088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033807182
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1126/scitranslmed.3004330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005234727
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1128/mcb.00087-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004640963
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1158/0008-5472.can-06-0140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028297244
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1158/1078-0432.ccr-08-0196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049534215
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1158/1078-0432.ccr-12-2243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046423104
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1158/1078-0432.ccr-13-3368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038312528
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1158/1078-0432.ccr-15-2762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063225240
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1158/1078-0432.ccr-16-0081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027594068
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1158/2159-8290.cd-12-0095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011831914
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1158/2159-8290.cd-15-0344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022930000
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1172/jci65833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010389906
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1198/016214502760047131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064198019
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1242/jcs.03009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003502490
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1242/jcs.067009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014528705
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.1371/journal.pone.0002988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009676558
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.15252/msb.20145644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040611671
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.18632/oncotarget.12106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049223497
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.2353/ajpath.2006.050971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052284434
    386 rdf:type schema:CreativeWork
    387 https://doi.org/10.4161/cc.10.15.16531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024954977
    388 rdf:type schema:CreativeWork
    389 https://doi.org/10.5194/bg-11-2401-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050128188
    390 rdf:type schema:CreativeWork
    391 https://www.grid.ac/institutes/grid.18886.3f schema:alternateName Institute of Cancer Research
    392 schema:name Centre for Evolution and Cancer, The Institute of Cancer Research, SM2 5NG, London, UK
    393 Division of Cancer Therapeutics, The Institute of Cancer Research, SM2 5NG, London, UK
    394 Division of Clinical Studies, the Institute of Cancer Research, SM2 5NG, London, UK
    395 Division of Molecular Pathology, The Institute of Cancer Research, SM2 5NG, London, UK
    396 Gynaecology Unit, The Royal Marsden NHS Foundation Trust, SW3 6JJ, London, UK
    397 rdf:type schema:Organization
    398 https://www.grid.ac/institutes/grid.424926.f schema:alternateName Royal Marsden Hospital
    399 schema:name Centre for Molecular Pathology, Royal Marsden Hospital, SM2 5NG, London, UK
    400 Division of Molecular Pathology, The Institute of Cancer Research, SM2 5NG, London, UK
    401 rdf:type schema:Organization
    402 https://www.grid.ac/institutes/grid.5072.0 schema:alternateName Royal Marsden NHS Foundation Trust
    403 schema:name Gynaecology Unit, The Royal Marsden NHS Foundation Trust, SW3 6JJ, London, UK
    404 rdf:type schema:Organization
     




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


    ...