The multigene signature MammaPrint impacts on multidisciplinary team decisions in ER+, HER2− early breast cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-08

AUTHORS

R Exner, Z Bago-Horvath, R Bartsch, M Mittlboeck, V P Retèl, F Fitzal, M Rudas, C Singer, G Pfeiler, M Gnant, R Jakesz, P Dubsky

ABSTRACT

BACKGROUND: Validated multigene signatures (MGS) provide additional prognostic information when evaluating clinical features of ER(+), HER2(-) early breast cancer. We have studied the quantitative and qualitative impact of MGS on multidisciplinary team (MDT) recommendations. METHODS: We prospectively recruited 75 ER(+), HER2(-) breast cancer patients. Inclusion was based on biopsy assessment of grade, hormone receptor status, HER2, clinical tumour and nodal status. A fresh tissue sample was sent for MammaPrint (MP), TargetPrint analysis at surgery. Clinical risk was decided by the MDT in the absence of MP results and repeated following the collection of MP results. Decision changes were recorded and a health technology assessment was undertaken to compare cost effectiveness. RESULTS: The majority of patients were assigned low to intermediate clinical risk by the MDT. According to MP, 76% were low risk. A very high correlation between local IHC and the TargetPrint assessment was shown. In over a third of patients, discordance between clinical and molecular risk was observed. Decision changes were recorded in half of these cases (18.6%) and resulted in two out of three patients not requiring chemotherapy. The use of MP was also found to be more cost effective. CONCLUSIONS: The multigene signature MP revealed clinical and molecular risk discordance in a third of patients. The impact of this on MDT recommendations was most profound in cases where few clinical risk factors were observed and enabled some women to forgo chemotherapy. The use of MGS is unlikely to have an impact in either clinically low-risk women or in patients with more than one relative indication for chemotherapy. More... »

PAGES

837

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2014.339

DOI

http://dx.doi.org/10.1038/bjc.2014.339

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033633231

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25003667


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": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cost-Benefit Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Profiling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptor, ErbB-2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Estrogen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcriptome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Medical University of Vienna", 
          "id": "https://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Department of Surgery, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Exner", 
        "givenName": "R", 
        "id": "sg:person.01024764413.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024764413.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinical Institute of Pathology, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bago-Horvath", 
        "givenName": "Z", 
        "id": "sg:person.01206226414.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206226414.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinical Division of Oncology, Department of Medicine I, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bartsch", 
        "givenName": "R", 
        "id": "sg:person.01171462023.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171462023.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Statistics and Intelligent Systems, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mittlboeck", 
        "givenName": "M", 
        "id": "sg:person.0673063034.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673063034.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Antoni van Leeuwenhoek Hospital", 
          "id": "https://www.grid.ac/institutes/grid.430814.a", 
          "name": [
            "Netherlands Cancer Institute, Department of Psychosocial Research and Epidemiology, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ret\u00e8l", 
        "givenName": "V P", 
        "id": "sg:person.01237534266.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237534266.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical University of Vienna", 
          "id": "https://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Department of Surgery, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fitzal", 
        "givenName": "F", 
        "id": "sg:person.01046277002.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046277002.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinical Institute of Pathology, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rudas", 
        "givenName": "M", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Gynaecology and Obstetrics, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Singer", 
        "givenName": "C", 
        "id": "sg:person.0662165614.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662165614.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Gynaecology and Obstetrics, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pfeiler", 
        "givenName": "G", 
        "id": "sg:person.0771040441.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771040441.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical University of Vienna", 
          "id": "https://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Department of Surgery, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gnant", 
        "givenName": "M", 
        "id": "sg:person.01112754113.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112754113.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical University of Vienna", 
          "id": "https://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Department of Surgery, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jakesz", 
        "givenName": "R", 
        "id": "sg:person.055240060.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.055240060.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical University of Vienna", 
          "id": "https://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Department of Surgery, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dubsky", 
        "givenName": "P", 
        "id": "sg:person.01223341413.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223341413.62"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/cncr.27443", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000122726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.28082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000729751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-11-1846", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000837840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-013-2559-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002355079", 
          "https://doi.org/10.1007/s10549-013-2559-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-013-2559-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002355079", 
          "https://doi.org/10.1007/s10549-013-2559-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-9776(09)70290-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003044950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.36.8993", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007133311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(11)70122-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007541846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0806285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014947972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(05)67059-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017152603"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(05)67059-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017152603"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-008-0191-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018154376", 
          "https://doi.org/10.1007/s10549-008-0191-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2011.09.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019512828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdp388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025726031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmoldx.2013.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034838516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa021967", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038600096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2010.02.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039505811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdp322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042592360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdp322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042592360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/415530a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043001094", 
          "https://doi.org/10.1038/415530a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/415530a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043001094", 
          "https://doi.org/10.1038/415530a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mds645", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044783739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djj329", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051338771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2013.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052291450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-7-278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052494272", 
          "https://doi.org/10.1186/1471-2164-7-278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2002.09.112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064203132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078475419", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-08", 
    "datePublishedReg": "2014-08-01", 
    "description": "BACKGROUND: Validated multigene signatures (MGS) provide additional prognostic information when evaluating clinical features of ER(+), HER2(-) early breast cancer. We have studied the quantitative and qualitative impact of MGS on multidisciplinary team (MDT) recommendations.\nMETHODS: We prospectively recruited 75 ER(+), HER2(-) breast cancer patients. Inclusion was based on biopsy assessment of grade, hormone receptor status, HER2, clinical tumour and nodal status. A fresh tissue sample was sent for MammaPrint (MP), TargetPrint analysis at surgery. Clinical risk was decided by the MDT in the absence of MP results and repeated following the collection of MP results. Decision changes were recorded and a health technology assessment was undertaken to compare cost effectiveness.\nRESULTS: The majority of patients were assigned low to intermediate clinical risk by the MDT. According to MP, 76% were low risk. A very high correlation between local IHC and the TargetPrint assessment was shown. In over a third of patients, discordance between clinical and molecular risk was observed. Decision changes were recorded in half of these cases (18.6%) and resulted in two out of three patients not requiring chemotherapy. The use of MP was also found to be more cost effective.\nCONCLUSIONS: The multigene signature MP revealed clinical and molecular risk discordance in a third of patients. The impact of this on MDT recommendations was most profound in cases where few clinical risk factors were observed and enabled some women to forgo chemotherapy. The use of MGS is unlikely to have an impact in either clinically low-risk women or in patients with more than one relative indication for chemotherapy.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/bjc.2014.339", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "111"
      }
    ], 
    "name": "The multigene signature MammaPrint impacts on multidisciplinary team decisions in ER+, HER2\u2212 early breast cancer", 
    "pagination": "837", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a0378ab0d5eb274c07c976c392fa7eda2f1d890f5b6c9680c0df58a93549673e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25003667"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bjc.2014.339"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033633231"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bjc.2014.339", 
      "https://app.dimensions.ai/details/publication/pub.1033633231"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:35", 
    "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_8684_00000435.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/bjc2014339"
  }
]
 

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/bjc.2014.339'

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/bjc.2014.339'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.2014.339'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.2014.339'


 

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

276 TRIPLES      21 PREDICATES      63 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bjc.2014.339 schema:about N004b1927630043829d5e47351bc2b39d
2 N00c1bbe0c9cc4780a78180cd6a1caa59
3 N0ab3b6665b624ebfa08606e508ed9edd
4 N1e4a9eb36fe04b31ab4b95079085b6fd
5 N56a72791dd6049419dc6087edccc700a
6 N684ee03136634d9e8f8a1f0dca13a14b
7 N6fe031c81509428bb27da554fe0d2791
8 N8d06b866361345fd85203326f9526422
9 Ne46db141db434e5985fee46520413ebc
10 Ne528e9f850fe48b88e7ff655699dfa39
11 Nea9a70d9581141e387d4113bb9b6e4c3
12 anzsrc-for:11
13 anzsrc-for:1112
14 schema:author N3ebc57a2d2414ad98b17e706146dcfa7
15 schema:citation sg:pub.10.1007/s10549-008-0191-2
16 sg:pub.10.1007/s10549-013-2559-1
17 sg:pub.10.1038/415530a
18 sg:pub.10.1186/1471-2164-7-278
19 https://app.dimensions.ai/details/publication/pub.1078475419
20 https://doi.org/10.1002/cncr.27443
21 https://doi.org/10.1002/ijc.28082
22 https://doi.org/10.1016/j.ejca.2010.02.035
23 https://doi.org/10.1016/j.ejca.2011.09.016
24 https://doi.org/10.1016/j.ejca.2013.08.001
25 https://doi.org/10.1016/j.jmoldx.2013.10.008
26 https://doi.org/10.1016/s0140-6736(05)67059-6
27 https://doi.org/10.1016/s0960-9776(09)70290-5
28 https://doi.org/10.1016/s1470-2045(11)70122-x
29 https://doi.org/10.1056/nejmoa021967
30 https://doi.org/10.1056/nejmoa0806285
31 https://doi.org/10.1093/annonc/mdp322
32 https://doi.org/10.1093/annonc/mdp388
33 https://doi.org/10.1093/annonc/mds645
34 https://doi.org/10.1093/jnci/djj329
35 https://doi.org/10.1158/1078-0432.ccr-11-1846
36 https://doi.org/10.1200/jco.2002.09.112
37 https://doi.org/10.1200/jco.2011.36.8993
38 schema:datePublished 2014-08
39 schema:datePublishedReg 2014-08-01
40 schema:description BACKGROUND: Validated multigene signatures (MGS) provide additional prognostic information when evaluating clinical features of ER(+), HER2(-) early breast cancer. We have studied the quantitative and qualitative impact of MGS on multidisciplinary team (MDT) recommendations. METHODS: We prospectively recruited 75 ER(+), HER2(-) breast cancer patients. Inclusion was based on biopsy assessment of grade, hormone receptor status, HER2, clinical tumour and nodal status. A fresh tissue sample was sent for MammaPrint (MP), TargetPrint analysis at surgery. Clinical risk was decided by the MDT in the absence of MP results and repeated following the collection of MP results. Decision changes were recorded and a health technology assessment was undertaken to compare cost effectiveness. RESULTS: The majority of patients were assigned low to intermediate clinical risk by the MDT. According to MP, 76% were low risk. A very high correlation between local IHC and the TargetPrint assessment was shown. In over a third of patients, discordance between clinical and molecular risk was observed. Decision changes were recorded in half of these cases (18.6%) and resulted in two out of three patients not requiring chemotherapy. The use of MP was also found to be more cost effective. CONCLUSIONS: The multigene signature MP revealed clinical and molecular risk discordance in a third of patients. The impact of this on MDT recommendations was most profound in cases where few clinical risk factors were observed and enabled some women to forgo chemotherapy. The use of MGS is unlikely to have an impact in either clinically low-risk women or in patients with more than one relative indication for chemotherapy.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree true
44 schema:isPartOf N4facd71745bb407399f95af148be9fbf
45 N65c2336cc8564941a488c56fc67deede
46 sg:journal.1017082
47 schema:name The multigene signature MammaPrint impacts on multidisciplinary team decisions in ER+, HER2− early breast cancer
48 schema:pagination 837
49 schema:productId N41f2a31cbab34993a0df5fbfdd3ba5be
50 N5603dc27b4b64077b03176cdb184cd4b
51 N78c9bd61310b4ba3b6fc85bf838f249d
52 Ncbe7dac15e844b18a40b4dd4526f8ae9
53 Ne8c27f7a38904ac4a2eab31f20ce17c2
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033633231
55 https://doi.org/10.1038/bjc.2014.339
56 schema:sdDatePublished 2019-04-10T20:35
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N844a4f028a7f475ca89f0ee59fc99415
59 schema:url https://www.nature.com/articles/bjc2014339
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N004b1927630043829d5e47351bc2b39d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Prospective Studies
65 rdf:type schema:DefinedTerm
66 N00c1bbe0c9cc4780a78180cd6a1caa59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Female
68 rdf:type schema:DefinedTerm
69 N0ab3b6665b624ebfa08606e508ed9edd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Humans
71 rdf:type schema:DefinedTerm
72 N1d16c62e20f1464d8d607cf9ff70bba4 rdf:first sg:person.055240060.00
73 rdf:rest N582e6622f3e04756a7b6e611a7509506
74 N1e4a9eb36fe04b31ab4b95079085b6fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Risk
76 rdf:type schema:DefinedTerm
77 N26c249e418a34abc9e1f92db629c2044 schema:affiliation N91f5f18db5b947dc92581ef3cc0fabfb
78 schema:familyName Rudas
79 schema:givenName M
80 rdf:type schema:Person
81 N28374b043c3b46698d524c2f8d6ba0e8 rdf:first sg:person.01237534266.69
82 rdf:rest N9159695a7c2348c39fabe9d6e949d8cd
83 N3ebc57a2d2414ad98b17e706146dcfa7 rdf:first sg:person.01024764413.54
84 rdf:rest N8a539554c9b84591bce876e12d2f6205
85 N41f2a31cbab34993a0df5fbfdd3ba5be schema:name pubmed_id
86 schema:value 25003667
87 rdf:type schema:PropertyValue
88 N46115b8035454c1a91ae5149d4c2f818 rdf:first sg:person.0673063034.51
89 rdf:rest N28374b043c3b46698d524c2f8d6ba0e8
90 N4facd71745bb407399f95af148be9fbf schema:volumeNumber 111
91 rdf:type schema:PublicationVolume
92 N5603dc27b4b64077b03176cdb184cd4b schema:name doi
93 schema:value 10.1038/bjc.2014.339
94 rdf:type schema:PropertyValue
95 N56a72791dd6049419dc6087edccc700a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Cost-Benefit Analysis
97 rdf:type schema:DefinedTerm
98 N582e6622f3e04756a7b6e611a7509506 rdf:first sg:person.01223341413.62
99 rdf:rest rdf:nil
100 N5d26164d2b5a40c8917a2a8837ffc23a schema:name Department of Gynaecology and Obstetrics, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
101 rdf:type schema:Organization
102 N65c2336cc8564941a488c56fc67deede schema:issueNumber 5
103 rdf:type schema:PublicationIssue
104 N684ee03136634d9e8f8a1f0dca13a14b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Receptor, ErbB-2
106 rdf:type schema:DefinedTerm
107 N6fe031c81509428bb27da554fe0d2791 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Breast Neoplasms
109 rdf:type schema:DefinedTerm
110 N78c9bd61310b4ba3b6fc85bf838f249d schema:name readcube_id
111 schema:value a0378ab0d5eb274c07c976c392fa7eda2f1d890f5b6c9680c0df58a93549673e
112 rdf:type schema:PropertyValue
113 N81006c0b77324bd683510a3150a4bd5d schema:name Department of Statistics and Intelligent Systems, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
114 rdf:type schema:Organization
115 N844a4f028a7f475ca89f0ee59fc99415 schema:name Springer Nature - SN SciGraph project
116 rdf:type schema:Organization
117 N8a539554c9b84591bce876e12d2f6205 rdf:first sg:person.01206226414.12
118 rdf:rest Nf31e1042a5de4ded821215e7d2604940
119 N8d06b866361345fd85203326f9526422 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Middle Aged
121 rdf:type schema:DefinedTerm
122 N9159695a7c2348c39fabe9d6e949d8cd rdf:first sg:person.01046277002.99
123 rdf:rest Nb62fe1e29ceb4a4bbc8f997ba5a78592
124 N91f5f18db5b947dc92581ef3cc0fabfb schema:name Clinical Institute of Pathology, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
125 rdf:type schema:Organization
126 Nac677a7b516744b7b0883f17068be93e schema:name Department of Gynaecology and Obstetrics, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
127 rdf:type schema:Organization
128 Nb3ba98504ec440d5a7d6a2333f5ca38f schema:name Clinical Division of Oncology, Department of Medicine I, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
129 rdf:type schema:Organization
130 Nb62fe1e29ceb4a4bbc8f997ba5a78592 rdf:first N26c249e418a34abc9e1f92db629c2044
131 rdf:rest Nc3cb385db50d4067bbb1a39b9377f940
132 Nc3cb385db50d4067bbb1a39b9377f940 rdf:first sg:person.0662165614.96
133 rdf:rest Ne9931ed69012469aa120d48bd21d8510
134 Nc5650df4f62a4edc8ebd8a0d8ebc082f rdf:first sg:person.01112754113.07
135 rdf:rest N1d16c62e20f1464d8d607cf9ff70bba4
136 Ncbe7dac15e844b18a40b4dd4526f8ae9 schema:name dimensions_id
137 schema:value pub.1033633231
138 rdf:type schema:PropertyValue
139 Ne46db141db434e5985fee46520413ebc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Transcriptome
141 rdf:type schema:DefinedTerm
142 Ne528e9f850fe48b88e7ff655699dfa39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Gene Expression Profiling
144 rdf:type schema:DefinedTerm
145 Ne8c27f7a38904ac4a2eab31f20ce17c2 schema:name nlm_unique_id
146 schema:value 0370635
147 rdf:type schema:PropertyValue
148 Ne9931ed69012469aa120d48bd21d8510 rdf:first sg:person.0771040441.94
149 rdf:rest Nc5650df4f62a4edc8ebd8a0d8ebc082f
150 Nea9a70d9581141e387d4113bb9b6e4c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Receptors, Estrogen
152 rdf:type schema:DefinedTerm
153 Nf091b3494f914c7d8fa5eb28e6560cde schema:name Clinical Institute of Pathology, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
154 rdf:type schema:Organization
155 Nf31e1042a5de4ded821215e7d2604940 rdf:first sg:person.01171462023.04
156 rdf:rest N46115b8035454c1a91ae5149d4c2f818
157 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
158 schema:name Medical and Health Sciences
159 rdf:type schema:DefinedTerm
160 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
161 schema:name Oncology and Carcinogenesis
162 rdf:type schema:DefinedTerm
163 sg:journal.1017082 schema:issn 0007-0920
164 1532-1827
165 schema:name British Journal of Cancer
166 rdf:type schema:Periodical
167 sg:person.01024764413.54 schema:affiliation https://www.grid.ac/institutes/grid.22937.3d
168 schema:familyName Exner
169 schema:givenName R
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024764413.54
171 rdf:type schema:Person
172 sg:person.01046277002.99 schema:affiliation https://www.grid.ac/institutes/grid.22937.3d
173 schema:familyName Fitzal
174 schema:givenName F
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046277002.99
176 rdf:type schema:Person
177 sg:person.01112754113.07 schema:affiliation https://www.grid.ac/institutes/grid.22937.3d
178 schema:familyName Gnant
179 schema:givenName M
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112754113.07
181 rdf:type schema:Person
182 sg:person.01171462023.04 schema:affiliation Nb3ba98504ec440d5a7d6a2333f5ca38f
183 schema:familyName Bartsch
184 schema:givenName R
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171462023.04
186 rdf:type schema:Person
187 sg:person.01206226414.12 schema:affiliation Nf091b3494f914c7d8fa5eb28e6560cde
188 schema:familyName Bago-Horvath
189 schema:givenName Z
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206226414.12
191 rdf:type schema:Person
192 sg:person.01223341413.62 schema:affiliation https://www.grid.ac/institutes/grid.22937.3d
193 schema:familyName Dubsky
194 schema:givenName P
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223341413.62
196 rdf:type schema:Person
197 sg:person.01237534266.69 schema:affiliation https://www.grid.ac/institutes/grid.430814.a
198 schema:familyName Retèl
199 schema:givenName V P
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237534266.69
201 rdf:type schema:Person
202 sg:person.055240060.00 schema:affiliation https://www.grid.ac/institutes/grid.22937.3d
203 schema:familyName Jakesz
204 schema:givenName R
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.055240060.00
206 rdf:type schema:Person
207 sg:person.0662165614.96 schema:affiliation N5d26164d2b5a40c8917a2a8837ffc23a
208 schema:familyName Singer
209 schema:givenName C
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662165614.96
211 rdf:type schema:Person
212 sg:person.0673063034.51 schema:affiliation N81006c0b77324bd683510a3150a4bd5d
213 schema:familyName Mittlboeck
214 schema:givenName M
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673063034.51
216 rdf:type schema:Person
217 sg:person.0771040441.94 schema:affiliation Nac677a7b516744b7b0883f17068be93e
218 schema:familyName Pfeiler
219 schema:givenName G
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771040441.94
221 rdf:type schema:Person
222 sg:pub.10.1007/s10549-008-0191-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018154376
223 https://doi.org/10.1007/s10549-008-0191-2
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s10549-013-2559-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002355079
226 https://doi.org/10.1007/s10549-013-2559-1
227 rdf:type schema:CreativeWork
228 sg:pub.10.1038/415530a schema:sameAs https://app.dimensions.ai/details/publication/pub.1043001094
229 https://doi.org/10.1038/415530a
230 rdf:type schema:CreativeWork
231 sg:pub.10.1186/1471-2164-7-278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052494272
232 https://doi.org/10.1186/1471-2164-7-278
233 rdf:type schema:CreativeWork
234 https://app.dimensions.ai/details/publication/pub.1078475419 schema:CreativeWork
235 https://doi.org/10.1002/cncr.27443 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000122726
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1002/ijc.28082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000729751
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.ejca.2010.02.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039505811
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.ejca.2011.09.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019512828
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.ejca.2013.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052291450
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.jmoldx.2013.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034838516
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/s0140-6736(05)67059-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017152603
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/s0960-9776(09)70290-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003044950
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/s1470-2045(11)70122-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007541846
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1056/nejmoa021967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038600096
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1056/nejmoa0806285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014947972
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1093/annonc/mdp322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042592360
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1093/annonc/mdp388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025726031
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1093/annonc/mds645 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044783739
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1093/jnci/djj329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051338771
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1158/1078-0432.ccr-11-1846 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000837840
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1200/jco.2002.09.112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064203132
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1200/jco.2011.36.8993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007133311
270 rdf:type schema:CreativeWork
271 https://www.grid.ac/institutes/grid.22937.3d schema:alternateName Medical University of Vienna
272 schema:name Department of Surgery, Medical University of Vienna and Comprehensive Cancer Centre Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
273 rdf:type schema:Organization
274 https://www.grid.ac/institutes/grid.430814.a schema:alternateName Antoni van Leeuwenhoek Hospital
275 schema:name Netherlands Cancer Institute, Department of Psychosocial Research and Epidemiology, Amsterdam, The Netherlands
276 rdf:type schema:Organization
 




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


...