Impact of intratumoural heterogeneity on the assessment of Ki67 expression in breast cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-07

AUTHORS

M. A. Aleskandarany, A. R. Green, I Ashankyty, A Elmouna, M Diez-Rodriguez, C. C. Nolan, I. O. Ellis, E. A. Rakha

ABSTRACT

In breast cancer (BC), the prognostic value of Ki67 expression is well-documented. Intratumoural heterogeneity (ITH) of Ki67 expression is amongst the several technical issues behind the lag of its inclusion into BC prognostic work-up. The immunohistochemical (IHC) expression of anti-Ki67 antibody (MIB1 clone) was assessed in four full-face (FF) sections from different primary tumour blocks and their matched axillary nodal (LN) metastases in a series of 55 BC. Assessment was made using the highest expression hot spots (HS), lowest expression (LS), and overall/average expression scores (AS) in each section. Heterogeneity score (Hes), co-efficient of variation, and correlation co-efficient were used to assess the levels of Ki67 ITH. Ki67 HS, LS, and AS scores were highly variable within the same section and between different sections of the primary tumour, with maximal variation observed in the LS (P < 0.001). The least variability between the different slides was observed with HS scoring. Although the associations between Ki67 and clinicopathological and molecular variables were similar when using HS or AS, the best correlation between AS and HS was observed in tumours with high Ki67 expression only. Ki67 expression in LN deposits was less heterogeneous than in the primary tumours and was perfectly correlated with the HS Ki67 expression in the primary tumour sections (r = 0.98, P < 0.001). In conclusion, assessment of Ki67 expression using HS scoring method on a full-face BC tissue section can represent the primary tumour growth fraction that is likely to metastasise. The association between Ki67 expression pattern in the LN metastasis and the HS in the primary tumour may reflect the temporal heterogeneity through clonal expansion. More... »

PAGES

287-295

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10549-016-3893-x

DOI

http://dx.doi.org/10.1007/s10549-016-3893-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051746181

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27380874


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Axilla", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease-Free Survival", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ki-67 Antigen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymph Nodes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Menoufia University", 
          "id": "https://www.grid.ac/institutes/grid.411775.1", 
          "name": [
            "Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK", 
            "Faculty of Medicine, Menoufia University, Menoufia, Egypt"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aleskandarany", 
        "givenName": "M. A.", 
        "id": "sg:person.01143711260.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143711260.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Green", 
        "givenName": "A. R.", 
        "id": "sg:person.016416665412.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016416665412.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Molecular Diagnostics and Personalised Therapeutics Unit, University of Ha\u2019il, Ha\u2019il, Saudi Arabia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ashankyty", 
        "givenName": "I", 
        "id": "sg:person.01264530006.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264530006.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Molecular Diagnostics and Personalised Therapeutics Unit, University of Ha\u2019il, Ha\u2019il, Saudi Arabia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Elmouna", 
        "givenName": "A", 
        "id": "sg:person.01174340773.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174340773.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Diez-Rodriguez", 
        "givenName": "M", 
        "id": "sg:person.01040530365.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040530365.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nolan", 
        "givenName": "C. C.", 
        "id": "sg:person.01217144077.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217144077.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ellis", 
        "givenName": "I. O.", 
        "id": "sg:person.01054612302.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054612302.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rakha", 
        "givenName": "E. A.", 
        "id": "sg:person.0743637501.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743637501.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.breast.2014.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001619113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.11188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001711822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2010.31.2835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004372796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2559.2002.01343.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004705211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jamcollsurg.2012.09.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005004214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2184.1996.tb00984.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007003456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djt306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007448888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00428-006-0233-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009364868", 
          "https://doi.org/10.1007/s00428-006-0233-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00428-006-0233-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009364868", 
          "https://doi.org/10.1007/s00428-006-0233-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(09)70262-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011020813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.2013.153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011384405", 
          "https://doi.org/10.1038/modpathol.2013.153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011569196", 
          "https://doi.org/10.1038/nrg2101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011569196", 
          "https://doi.org/10.1038/nrg2101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2559.2007.02638.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012730868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.anndiagpath.2015.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013021223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1091/mbc.e10-04-0335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014042941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00428-007-0435-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014094832", 
          "https://doi.org/10.1007/s00428-007-0435-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00428-007-0435-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014094832", 
          "https://doi.org/10.1007/s00428-007-0435-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0046-8177(99)90062-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014481975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdi352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015874660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-010-1028-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016276726", 
          "https://doi.org/10.1007/s10549-010-1028-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2014/628217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016591628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2009.24.9284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018661827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djp082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020655992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa041588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022156409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdv298", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022951845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djr393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024075504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.26711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024972020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.2910310104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026664228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0112121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027645071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.2013.128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027726525", 
          "https://doi.org/10.1038/labinvest.2013.128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6603756", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030523104", 
          "https://doi.org/10.1038/sj.bjc.6603756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.24860", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033137258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.24860", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033137258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12282-010-0239-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041087337", 
          "https://doi.org/10.1007/s12282-010-0239-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2008.17.0829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042903570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-08-2132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047937201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cjp2.42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048709742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-12-3628", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053320171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-4644(20000315)76:4<596::aid-jcb8>3.0.co;2-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053604565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.sabcs-09-74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063217701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1999.17.2.470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074265641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083347584", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-07", 
    "datePublishedReg": "2016-07-01", 
    "description": "In breast cancer (BC), the prognostic value of Ki67 expression is well-documented. Intratumoural heterogeneity (ITH) of Ki67 expression is amongst the several technical issues behind the lag of its inclusion into BC prognostic work-up. The immunohistochemical (IHC) expression of anti-Ki67 antibody (MIB1 clone) was assessed in four full-face (FF) sections from different primary tumour blocks and their matched axillary nodal (LN) metastases in a series of 55 BC. Assessment was made using the highest expression hot spots (HS), lowest expression (LS), and overall/average expression scores (AS) in each section. Heterogeneity score (Hes), co-efficient of variation, and correlation co-efficient were used to assess the levels of Ki67 ITH. Ki67 HS, LS, and AS scores were highly variable within the same section and between different sections of the primary tumour, with maximal variation observed in the LS (P\u00a0<\u00a00.001). The least variability between the different slides was observed with HS scoring. Although the associations between Ki67 and clinicopathological and molecular variables were similar when using HS or AS, the best correlation between AS and HS was observed in tumours with high Ki67 expression only. Ki67 expression in LN deposits was less heterogeneous than in the primary tumours and was perfectly correlated with the HS Ki67 expression in the primary tumour sections (r\u00a0=\u00a00.98, P\u00a0<\u00a00.001). In conclusion, assessment of Ki67 expression using HS scoring method on a full-face BC tissue section can represent the primary tumour growth fraction that is likely to metastasise. The association between Ki67 expression pattern in the LN metastasis and the HS in the primary tumour may reflect the temporal heterogeneity through clonal expansion.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10549-016-3893-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1092777", 
        "issn": [
          "0167-6806", 
          "1573-7217"
        ], 
        "name": "Breast Cancer Research and Treatment", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "158"
      }
    ], 
    "name": "Impact of intratumoural heterogeneity on the assessment of Ki67 expression in breast cancer", 
    "pagination": "287-295", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f67dcb542b048d04e0e3e1fcdb47e370ed76735f1d9203eddbba377cc08fe33d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27380874"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8111104"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10549-016-3893-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1051746181"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10549-016-3893-x", 
      "https://app.dimensions.ai/details/publication/pub.1051746181"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:37", 
    "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/v90/0000000363_0000000363/records_70032_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10549-016-3893-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.10.1007/s10549-016-3893-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.10.1007/s10549-016-3893-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-016-3893-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-016-3893-x'


 

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

305 TRIPLES      21 PREDICATES      80 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10549-016-3893-x schema:about N198bf5fac3324edabe85d1dfadf3ab7c
2 N20acaed09f68405fb8d520a347f5587a
3 N42b190509fa34a77bf9d76957f4e53a1
4 N45dac3b110654564b0809ecdb1936bb7
5 N58289dfa11604f97ae15d1f27d37b654
6 N590223a50ae74ed58e010a8a89181ff0
7 N6768abb3763d4e8ba8f4ddd0ee202c8d
8 N988f564e353d426e841745546f129ec3
9 Na5a09061f1b14ab2ad1d08188eaf16c0
10 Nb737ededbe1e46d4850e92e5afdd9175
11 Nb95baed3ab3f4de4b03e9d2545a294b5
12 Nc181cb319ced474aa54549e6272fba68
13 anzsrc-for:11
14 anzsrc-for:1112
15 schema:author Nf81aa27dcc18417d9ad84ff6f41b0826
16 schema:citation sg:pub.10.1007/s00428-006-0233-2
17 sg:pub.10.1007/s00428-007-0435-2
18 sg:pub.10.1007/s10549-010-1028-3
19 sg:pub.10.1007/s12282-010-0239-0
20 sg:pub.10.1038/labinvest.2013.128
21 sg:pub.10.1038/modpathol.2013.153
22 sg:pub.10.1038/nrg2101
23 sg:pub.10.1038/sj.bjc.6603756
24 https://app.dimensions.ai/details/publication/pub.1083347584
25 https://doi.org/10.1002/(sici)1097-4644(20000315)76:4<596::aid-jcb8>3.0.co;2-n
26 https://doi.org/10.1002/cjp2.42
27 https://doi.org/10.1002/cncr.11188
28 https://doi.org/10.1002/cncr.26711
29 https://doi.org/10.1002/ijc.24860
30 https://doi.org/10.1002/ijc.2910310104
31 https://doi.org/10.1016/j.anndiagpath.2015.05.002
32 https://doi.org/10.1016/j.breast.2014.02.003
33 https://doi.org/10.1016/j.jamcollsurg.2012.09.007
34 https://doi.org/10.1016/s0046-8177(99)90062-x
35 https://doi.org/10.1016/s1470-2045(09)70262-1
36 https://doi.org/10.1046/j.1365-2559.2002.01343.x
37 https://doi.org/10.1056/nejmoa041588
38 https://doi.org/10.1091/mbc.e10-04-0335
39 https://doi.org/10.1093/annonc/mdi352
40 https://doi.org/10.1093/annonc/mdv298
41 https://doi.org/10.1093/jnci/djp082
42 https://doi.org/10.1093/jnci/djr393
43 https://doi.org/10.1093/jnci/djt306
44 https://doi.org/10.1111/j.1365-2184.1996.tb00984.x
45 https://doi.org/10.1111/j.1365-2559.2007.02638.x
46 https://doi.org/10.1155/2014/628217
47 https://doi.org/10.1158/0008-5472.sabcs-09-74
48 https://doi.org/10.1158/1078-0432.ccr-08-2132
49 https://doi.org/10.1158/1078-0432.ccr-12-3628
50 https://doi.org/10.1200/jco.1999.17.2.470
51 https://doi.org/10.1200/jco.2008.17.0829
52 https://doi.org/10.1200/jco.2009.24.9284
53 https://doi.org/10.1200/jco.2010.31.2835
54 https://doi.org/10.1371/journal.pone.0112121
55 schema:datePublished 2016-07
56 schema:datePublishedReg 2016-07-01
57 schema:description In breast cancer (BC), the prognostic value of Ki67 expression is well-documented. Intratumoural heterogeneity (ITH) of Ki67 expression is amongst the several technical issues behind the lag of its inclusion into BC prognostic work-up. The immunohistochemical (IHC) expression of anti-Ki67 antibody (MIB1 clone) was assessed in four full-face (FF) sections from different primary tumour blocks and their matched axillary nodal (LN) metastases in a series of 55 BC. Assessment was made using the highest expression hot spots (HS), lowest expression (LS), and overall/average expression scores (AS) in each section. Heterogeneity score (Hes), co-efficient of variation, and correlation co-efficient were used to assess the levels of Ki67 ITH. Ki67 HS, LS, and AS scores were highly variable within the same section and between different sections of the primary tumour, with maximal variation observed in the LS (P < 0.001). The least variability between the different slides was observed with HS scoring. Although the associations between Ki67 and clinicopathological and molecular variables were similar when using HS or AS, the best correlation between AS and HS was observed in tumours with high Ki67 expression only. Ki67 expression in LN deposits was less heterogeneous than in the primary tumours and was perfectly correlated with the HS Ki67 expression in the primary tumour sections (r = 0.98, P < 0.001). In conclusion, assessment of Ki67 expression using HS scoring method on a full-face BC tissue section can represent the primary tumour growth fraction that is likely to metastasise. The association between Ki67 expression pattern in the LN metastasis and the HS in the primary tumour may reflect the temporal heterogeneity through clonal expansion.
58 schema:genre research_article
59 schema:inLanguage en
60 schema:isAccessibleForFree true
61 schema:isPartOf N3f228a8a25794831b9c64c94f1d32985
62 N74e83e5db1094fd5bc0f45dbb98c9139
63 sg:journal.1092777
64 schema:name Impact of intratumoural heterogeneity on the assessment of Ki67 expression in breast cancer
65 schema:pagination 287-295
66 schema:productId N0e8a240aa0ce40d782c1551292224cd7
67 N18cabfb10aae4e969e7e157f26d218bf
68 N5496497f0edf4a3684f2bb211c0a06c5
69 N99243f4eea2e4db5901b31310ff3c5be
70 Na961db46653f444286f18a51aca47149
71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051746181
72 https://doi.org/10.1007/s10549-016-3893-x
73 schema:sdDatePublished 2019-04-11T12:37
74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
75 schema:sdPublisher Nbde9a6443d404260bf0397d6fa6560b2
76 schema:url https://link.springer.com/10.1007%2Fs10549-016-3893-x
77 sgo:license sg:explorer/license/
78 sgo:sdDataset articles
79 rdf:type schema:ScholarlyArticle
80 N068d94cba5a2456fa2d57eae503bc922 rdf:first sg:person.0743637501.84
81 rdf:rest rdf:nil
82 N0e8a240aa0ce40d782c1551292224cd7 schema:name nlm_unique_id
83 schema:value 8111104
84 rdf:type schema:PropertyValue
85 N1431f4366e4449c483e51ad7f89aca10 rdf:first sg:person.01217144077.65
86 rdf:rest Naa613ccf81bc46ceac96a05137796def
87 N18cabfb10aae4e969e7e157f26d218bf schema:name readcube_id
88 schema:value f67dcb542b048d04e0e3e1fcdb47e370ed76735f1d9203eddbba377cc08fe33d
89 rdf:type schema:PropertyValue
90 N198bf5fac3324edabe85d1dfadf3ab7c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Disease-Free Survival
92 rdf:type schema:DefinedTerm
93 N20acaed09f68405fb8d520a347f5587a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Biomarkers, Tumor
95 rdf:type schema:DefinedTerm
96 N3b30d95f719f4d1e842271478e322b13 schema:name Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK
97 rdf:type schema:Organization
98 N3f228a8a25794831b9c64c94f1d32985 schema:issueNumber 2
99 rdf:type schema:PublicationIssue
100 N42b190509fa34a77bf9d76957f4e53a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Axilla
102 rdf:type schema:DefinedTerm
103 N45dac3b110654564b0809ecdb1936bb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Prognosis
105 rdf:type schema:DefinedTerm
106 N5496497f0edf4a3684f2bb211c0a06c5 schema:name dimensions_id
107 schema:value pub.1051746181
108 rdf:type schema:PropertyValue
109 N58289dfa11604f97ae15d1f27d37b654 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Female
111 rdf:type schema:DefinedTerm
112 N590223a50ae74ed58e010a8a89181ff0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Middle Aged
114 rdf:type schema:DefinedTerm
115 N5a0faeb936424ad696d4be61f40ac244 rdf:first sg:person.01040530365.43
116 rdf:rest N1431f4366e4449c483e51ad7f89aca10
117 N64f28f5cf1ab422d9b9f820bd9d6554c schema:name Molecular Diagnostics and Personalised Therapeutics Unit, University of Ha’il, Ha’il, Saudi Arabia
118 rdf:type schema:Organization
119 N6768abb3763d4e8ba8f4ddd0ee202c8d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Humans
121 rdf:type schema:DefinedTerm
122 N6dd8ff5c123649928e4afd8bf0b4173d schema:name Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK
123 rdf:type schema:Organization
124 N74e83e5db1094fd5bc0f45dbb98c9139 schema:volumeNumber 158
125 rdf:type schema:PublicationVolume
126 N988f564e353d426e841745546f129ec3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Ki-67 Antigen
128 rdf:type schema:DefinedTerm
129 N99243f4eea2e4db5901b31310ff3c5be schema:name doi
130 schema:value 10.1007/s10549-016-3893-x
131 rdf:type schema:PropertyValue
132 Na5a09061f1b14ab2ad1d08188eaf16c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Aged
134 rdf:type schema:DefinedTerm
135 Na961db46653f444286f18a51aca47149 schema:name pubmed_id
136 schema:value 27380874
137 rdf:type schema:PropertyValue
138 Naa613ccf81bc46ceac96a05137796def rdf:first sg:person.01054612302.65
139 rdf:rest N068d94cba5a2456fa2d57eae503bc922
140 Nb737ededbe1e46d4850e92e5afdd9175 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Lymph Nodes
142 rdf:type schema:DefinedTerm
143 Nb8d0ad48e3ee41f78016f40901ca85bc schema:name Molecular Diagnostics and Personalised Therapeutics Unit, University of Ha’il, Ha’il, Saudi Arabia
144 rdf:type schema:Organization
145 Nb95baed3ab3f4de4b03e9d2545a294b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Adult
147 rdf:type schema:DefinedTerm
148 Nbde9a6443d404260bf0397d6fa6560b2 schema:name Springer Nature - SN SciGraph project
149 rdf:type schema:Organization
150 Nc181cb319ced474aa54549e6272fba68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Breast Neoplasms
152 rdf:type schema:DefinedTerm
153 Nc40e1eaef4e04ad083b80d39fee1bb5d schema:name Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK
154 rdf:type schema:Organization
155 Nc525a0ac74de4bf48933e394f6786d32 schema:name Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK
156 rdf:type schema:Organization
157 Nda756a02be5346e6a7acdb6018200005 rdf:first sg:person.01174340773.91
158 rdf:rest N5a0faeb936424ad696d4be61f40ac244
159 Ndac0a9d6ef0a4469b28c59d8fc6eb973 schema:name Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK
160 rdf:type schema:Organization
161 Ne9139c6deb5945ddb1d8b124d24dda0e rdf:first sg:person.01264530006.30
162 rdf:rest Nda756a02be5346e6a7acdb6018200005
163 Nf51aa36b7ad74741a578e5f2bb1f6362 rdf:first sg:person.016416665412.02
164 rdf:rest Ne9139c6deb5945ddb1d8b124d24dda0e
165 Nf81aa27dcc18417d9ad84ff6f41b0826 rdf:first sg:person.01143711260.45
166 rdf:rest Nf51aa36b7ad74741a578e5f2bb1f6362
167 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
168 schema:name Medical and Health Sciences
169 rdf:type schema:DefinedTerm
170 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
171 schema:name Oncology and Carcinogenesis
172 rdf:type schema:DefinedTerm
173 sg:journal.1092777 schema:issn 0167-6806
174 1573-7217
175 schema:name Breast Cancer Research and Treatment
176 rdf:type schema:Periodical
177 sg:person.01040530365.43 schema:affiliation N6dd8ff5c123649928e4afd8bf0b4173d
178 schema:familyName Diez-Rodriguez
179 schema:givenName M
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040530365.43
181 rdf:type schema:Person
182 sg:person.01054612302.65 schema:affiliation Nc525a0ac74de4bf48933e394f6786d32
183 schema:familyName Ellis
184 schema:givenName I. O.
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054612302.65
186 rdf:type schema:Person
187 sg:person.01143711260.45 schema:affiliation https://www.grid.ac/institutes/grid.411775.1
188 schema:familyName Aleskandarany
189 schema:givenName M. A.
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143711260.45
191 rdf:type schema:Person
192 sg:person.01174340773.91 schema:affiliation Nb8d0ad48e3ee41f78016f40901ca85bc
193 schema:familyName Elmouna
194 schema:givenName A
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174340773.91
196 rdf:type schema:Person
197 sg:person.01217144077.65 schema:affiliation Nc40e1eaef4e04ad083b80d39fee1bb5d
198 schema:familyName Nolan
199 schema:givenName C. C.
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217144077.65
201 rdf:type schema:Person
202 sg:person.01264530006.30 schema:affiliation N64f28f5cf1ab422d9b9f820bd9d6554c
203 schema:familyName Ashankyty
204 schema:givenName I
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264530006.30
206 rdf:type schema:Person
207 sg:person.016416665412.02 schema:affiliation N3b30d95f719f4d1e842271478e322b13
208 schema:familyName Green
209 schema:givenName A. R.
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016416665412.02
211 rdf:type schema:Person
212 sg:person.0743637501.84 schema:affiliation Ndac0a9d6ef0a4469b28c59d8fc6eb973
213 schema:familyName Rakha
214 schema:givenName E. A.
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743637501.84
216 rdf:type schema:Person
217 sg:pub.10.1007/s00428-006-0233-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009364868
218 https://doi.org/10.1007/s00428-006-0233-2
219 rdf:type schema:CreativeWork
220 sg:pub.10.1007/s00428-007-0435-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014094832
221 https://doi.org/10.1007/s00428-007-0435-2
222 rdf:type schema:CreativeWork
223 sg:pub.10.1007/s10549-010-1028-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016276726
224 https://doi.org/10.1007/s10549-010-1028-3
225 rdf:type schema:CreativeWork
226 sg:pub.10.1007/s12282-010-0239-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041087337
227 https://doi.org/10.1007/s12282-010-0239-0
228 rdf:type schema:CreativeWork
229 sg:pub.10.1038/labinvest.2013.128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027726525
230 https://doi.org/10.1038/labinvest.2013.128
231 rdf:type schema:CreativeWork
232 sg:pub.10.1038/modpathol.2013.153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011384405
233 https://doi.org/10.1038/modpathol.2013.153
234 rdf:type schema:CreativeWork
235 sg:pub.10.1038/nrg2101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011569196
236 https://doi.org/10.1038/nrg2101
237 rdf:type schema:CreativeWork
238 sg:pub.10.1038/sj.bjc.6603756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030523104
239 https://doi.org/10.1038/sj.bjc.6603756
240 rdf:type schema:CreativeWork
241 https://app.dimensions.ai/details/publication/pub.1083347584 schema:CreativeWork
242 https://doi.org/10.1002/(sici)1097-4644(20000315)76:4<596::aid-jcb8>3.0.co;2-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1053604565
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1002/cjp2.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048709742
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1002/cncr.11188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001711822
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1002/cncr.26711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024972020
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1002/ijc.24860 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033137258
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1002/ijc.2910310104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026664228
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/j.anndiagpath.2015.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013021223
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1016/j.breast.2014.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001619113
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1016/j.jamcollsurg.2012.09.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005004214
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/s0046-8177(99)90062-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014481975
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/s1470-2045(09)70262-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011020813
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1046/j.1365-2559.2002.01343.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004705211
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1056/nejmoa041588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022156409
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1091/mbc.e10-04-0335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014042941
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1093/annonc/mdi352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015874660
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1093/annonc/mdv298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022951845
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1093/jnci/djp082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020655992
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1093/jnci/djr393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024075504
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1093/jnci/djt306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007448888
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1111/j.1365-2184.1996.tb00984.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007003456
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1111/j.1365-2559.2007.02638.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012730868
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1155/2014/628217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016591628
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1158/0008-5472.sabcs-09-74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063217701
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1158/1078-0432.ccr-08-2132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047937201
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1158/1078-0432.ccr-12-3628 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053320171
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1200/jco.1999.17.2.470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074265641
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1200/jco.2008.17.0829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042903570
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1200/jco.2009.24.9284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018661827
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1200/jco.2010.31.2835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004372796
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1371/journal.pone.0112121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027645071
301 rdf:type schema:CreativeWork
302 https://www.grid.ac/institutes/grid.411775.1 schema:alternateName Menoufia University
303 schema:name Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, NG5 1PB, Nottingham, UK
304 Faculty of Medicine, Menoufia University, Menoufia, Egypt
305 rdf:type schema:Organization
 




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


...