Associations between metabolic syndrome, breast cancer recurrence, and the 21-gene recurrence score assay View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-06

AUTHORS

Jeanette Muniz, Kelley M. Kidwell, N. Lynn Henry

ABSTRACT

The 21-gene recurrence score (RS) assay is prognostic in estrogen receptor-positive (HR+), HER2-negative, node-negative breast cancer (BC). The interaction between RS and host factors including metabolic syndrome (MS) is unclear. MS conditions such as obesity have been associated with worse BC prognosis. The aim of this study was to identify associations between presence of MS conditions and RS group or breast cancer recurrence. Demographic, pathologic, and treatment data, MS criteria, and menopausal status were abstracted from medical records of women with stage I-II, HR+, HER2-negative BC evaluated with the RS assay at a single institution since 2005. MS was defined as presence of ≥3 of the following within 2 years of diagnosis: body mass index ≥27.7 kg/m(2); hypertension; impaired fasting glucose; HDL <50 mg/dL; hypertriglyceridemia. Of 533 eligible women, 22 % had MS. MS was more common in post- vs premenopausal women (30 vs 9 %; P < 0.0001). There was no significant association between RS group and overall MS status or any individual criterion, controlling for stage, and no association after stratification by menopausal status. Postmenopausal status was associated with higher RS group (P = 0.039), independent of stage. With 4.2-year median follow-up, no association between disease recurrence and MS was identified. Although MS has been associated with worse BC outcomes, we were unable to identify associations between RS group and MS criteria. Identification of prognostic factors other than RS that underlie this higher risk will be important for optimizing breast cancer treatment decision-making in patients with MS. More... »

PAGES

597-603

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10549-016-3846-4

DOI

http://dx.doi.org/10.1007/s10549-016-3846-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043318277

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27271766


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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "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": "Metabolic Syndrome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Recurrence, Local", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "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": "Retrospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Internal Medicine, University of Michigan Medical School, 1500 E. Medical Center Dr, Med Inn Bldg C450, 48109-5843, Ann Arbor, MI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Muniz", 
        "givenName": "Jeanette", 
        "id": "sg:person.0657220153.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657220153.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kidwell", 
        "givenName": "Kelley M.", 
        "id": "sg:person.01020741650.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020741650.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Michigan\u2013Ann Arbor", 
          "id": "https://www.grid.ac/institutes/grid.214458.e", 
          "name": [
            "Department of Internal Medicine, University of Michigan Medical School, 1500 E. Medical Center Dr, Med Inn Bldg C450, 48109-5843, Ann Arbor, MI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Henry", 
        "givenName": "N. Lynn", 
        "id": "sg:person.01042733643.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042733643.27"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/jnci/djv006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001669365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(05)66544-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001690029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(05)66544-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001690029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdr025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004511253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0041380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006757366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2014/189384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007177964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0197-2456(02)00241-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008443990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0197-2456(02)00241-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008443990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(09)70314-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011515750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.04.7985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011750427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.40.8666", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011851058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2009.22.7918", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015128971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clon.2010.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018692528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa041588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022156409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-010-0990-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022806761", 
          "https://doi.org/10.1007/s10549-010-0990-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-010-0990-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022806761", 
          "https://doi.org/10.1007/s10549-010-0990-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/dmm.001180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031521757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.01.079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032058954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbi.2015.05.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036512695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1510764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036616787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/gme.0b013e31828ce95d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041356602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/gme.0b013e31828ce95d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041356602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2012.42.5496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041989669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-05-0042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045970473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djj494", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047575781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-014-3157-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047692591", 
          "https://doi.org/10.1007/s10549-014-3157-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2015.63.1440", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050971008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.39.7877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051915330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07853890500300311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053238725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.sabcs12-pd10-02", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063222218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.20.4.1128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064202823"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circ.106.25.3143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075204771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2012.30.27_suppl.179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083402053"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-06", 
    "datePublishedReg": "2016-06-01", 
    "description": "The 21-gene recurrence score (RS) assay is prognostic in estrogen receptor-positive (HR+), HER2-negative, node-negative breast cancer (BC). The interaction between RS and host factors including metabolic syndrome (MS) is unclear. MS conditions such as obesity have been associated with worse BC prognosis. The aim of this study was to identify associations between presence of MS conditions and RS group or breast cancer recurrence. Demographic, pathologic, and treatment data, MS criteria, and menopausal status were abstracted from medical records of women with stage I-II, HR+, HER2-negative BC evaluated with the RS assay at a single institution since 2005. MS was defined as presence of \u22653 of the following within 2\u00a0years of diagnosis: body mass index \u226527.7\u00a0kg/m(2); hypertension; impaired fasting glucose; HDL <50\u00a0mg/dL; hypertriglyceridemia. Of 533 eligible women, 22\u00a0% had MS. MS was more common in post- vs premenopausal women (30 vs 9\u00a0%; P\u00a0<\u00a00.0001). There was no significant association between RS group and overall MS status or any individual criterion, controlling for stage, and no association after stratification by menopausal status. Postmenopausal status was associated with higher RS group (P\u00a0=\u00a00.039), independent of stage. With 4.2-year median follow-up, no association between disease recurrence and MS was identified. Although MS has been associated with worse BC outcomes, we were unable to identify associations between RS group and MS criteria. Identification of prognostic factors other than RS that underlie this higher risk will be important for optimizing breast cancer treatment decision-making in patients with MS.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10549-016-3846-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2438793", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2438854", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1092777", 
        "issn": [
          "0167-6806", 
          "1573-7217"
        ], 
        "name": "Breast Cancer Research and Treatment", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "157"
      }
    ], 
    "name": "Associations between metabolic syndrome, breast cancer recurrence, and the 21-gene recurrence score assay", 
    "pagination": "597-603", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ce576e58f06660732fe98572608117319be41b521bc83d904932d987184002a5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27271766"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8111104"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10549-016-3846-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043318277"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10549-016-3846-4", 
      "https://app.dimensions.ai/details/publication/pub.1043318277"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:40", 
    "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_70049_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10549-016-3846-4"
  }
]
 

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/s10549-016-3846-4'

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/s10549-016-3846-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-016-3846-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-016-3846-4'


 

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

229 TRIPLES      21 PREDICATES      71 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10549-016-3846-4 schema:about N0c23e440419a4c8e822f341b0aede136
2 N2bc333bc13144c5cbf86360eadfa2d8a
3 N390ffc4dc5dc431987d0c5f2ca905eb1
4 N3f3e18c82aeb46b98f5d89e160392e34
5 N3f62b92d111846c4996e80d77dc51b38
6 N508ce98c0ac14dc7af1c78a595a7dc16
7 N578132af1fae4b5285f4bb64a0e8c5e7
8 N7d6edc37876f4fb1bb156a65756cf1e4
9 N8083de957f89456cb7404bd5d1cc3ab3
10 Na6939ab642994a46834f5363302a40d2
11 Na7021bd93d254c8b8f1775592d1b89ba
12 Nc48b80b5bb1044ec83941e755eb15375
13 Nf7909a5a90ac4b88aa10525f5cf61098
14 anzsrc-for:11
15 anzsrc-for:1112
16 schema:author Naf7f094579a74094a33e12eaf5fde4db
17 schema:citation sg:pub.10.1007/s10549-010-0990-0
18 sg:pub.10.1007/s10549-014-3157-6
19 https://doi.org/10.1016/j.clon.2010.02.001
20 https://doi.org/10.1016/j.jbi.2015.05.003
21 https://doi.org/10.1016/s0140-6736(05)66544-0
22 https://doi.org/10.1016/s0197-2456(02)00241-6
23 https://doi.org/10.1016/s1470-2045(09)70314-6
24 https://doi.org/10.1056/nejmoa041588
25 https://doi.org/10.1056/nejmoa1510764
26 https://doi.org/10.1080/07853890500300311
27 https://doi.org/10.1093/annonc/mdr025
28 https://doi.org/10.1093/jnci/djj494
29 https://doi.org/10.1093/jnci/djv006
30 https://doi.org/10.1097/gme.0b013e31828ce95d
31 https://doi.org/10.1155/2014/189384
32 https://doi.org/10.1158/0008-5472.sabcs12-pd10-02
33 https://doi.org/10.1158/1055-9965.epi-05-0042
34 https://doi.org/10.1161/circ.106.25.3143
35 https://doi.org/10.1200/jco.20.4.1128
36 https://doi.org/10.1200/jco.2005.01.079
37 https://doi.org/10.1200/jco.2005.04.7985
38 https://doi.org/10.1200/jco.2009.22.7918
39 https://doi.org/10.1200/jco.2011.39.7877
40 https://doi.org/10.1200/jco.2011.40.8666
41 https://doi.org/10.1200/jco.2012.30.27_suppl.179
42 https://doi.org/10.1200/jco.2012.42.5496
43 https://doi.org/10.1200/jco.2015.63.1440
44 https://doi.org/10.1242/dmm.001180
45 https://doi.org/10.1371/journal.pone.0041380
46 schema:datePublished 2016-06
47 schema:datePublishedReg 2016-06-01
48 schema:description The 21-gene recurrence score (RS) assay is prognostic in estrogen receptor-positive (HR+), HER2-negative, node-negative breast cancer (BC). The interaction between RS and host factors including metabolic syndrome (MS) is unclear. MS conditions such as obesity have been associated with worse BC prognosis. The aim of this study was to identify associations between presence of MS conditions and RS group or breast cancer recurrence. Demographic, pathologic, and treatment data, MS criteria, and menopausal status were abstracted from medical records of women with stage I-II, HR+, HER2-negative BC evaluated with the RS assay at a single institution since 2005. MS was defined as presence of ≥3 of the following within 2 years of diagnosis: body mass index ≥27.7 kg/m(2); hypertension; impaired fasting glucose; HDL <50 mg/dL; hypertriglyceridemia. Of 533 eligible women, 22 % had MS. MS was more common in post- vs premenopausal women (30 vs 9 %; P < 0.0001). There was no significant association between RS group and overall MS status or any individual criterion, controlling for stage, and no association after stratification by menopausal status. Postmenopausal status was associated with higher RS group (P = 0.039), independent of stage. With 4.2-year median follow-up, no association between disease recurrence and MS was identified. Although MS has been associated with worse BC outcomes, we were unable to identify associations between RS group and MS criteria. Identification of prognostic factors other than RS that underlie this higher risk will be important for optimizing breast cancer treatment decision-making in patients with MS.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree true
52 schema:isPartOf N5a5001afe34d448094423dcb87fcb8f6
53 Ncb885a7fd6474fbd877b20dce0f294af
54 sg:journal.1092777
55 schema:name Associations between metabolic syndrome, breast cancer recurrence, and the 21-gene recurrence score assay
56 schema:pagination 597-603
57 schema:productId N348dd6b604a7424495e108a25fc88223
58 N7ec1f8abd29d47ceac3e29f8479625f8
59 Naaf0d0bd34cc4bd4b9e044b9ebd3dede
60 Nc5d98c9f51e146cab38ec2980a1c1c14
61 Nda2255747ce34edf94478c54f343035e
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043318277
63 https://doi.org/10.1007/s10549-016-3846-4
64 schema:sdDatePublished 2019-04-11T12:40
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher Ne0f0547789ea42d88d5e0408e4a04d71
67 schema:url https://link.springer.com/10.1007%2Fs10549-016-3846-4
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N0c23e440419a4c8e822f341b0aede136 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Neoplasm Recurrence, Local
73 rdf:type schema:DefinedTerm
74 N1a7e2d156f014a5bb19882605713d158 rdf:first sg:person.01042733643.27
75 rdf:rest rdf:nil
76 N2bc333bc13144c5cbf86360eadfa2d8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Aged
78 rdf:type schema:DefinedTerm
79 N348dd6b604a7424495e108a25fc88223 schema:name readcube_id
80 schema:value ce576e58f06660732fe98572608117319be41b521bc83d904932d987184002a5
81 rdf:type schema:PropertyValue
82 N390ffc4dc5dc431987d0c5f2ca905eb1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Middle Aged
84 rdf:type schema:DefinedTerm
85 N3f3e18c82aeb46b98f5d89e160392e34 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Female
87 rdf:type schema:DefinedTerm
88 N3f62b92d111846c4996e80d77dc51b38 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Retrospective Studies
90 rdf:type schema:DefinedTerm
91 N508ce98c0ac14dc7af1c78a595a7dc16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Humans
93 rdf:type schema:DefinedTerm
94 N578132af1fae4b5285f4bb64a0e8c5e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Metabolic Syndrome
96 rdf:type schema:DefinedTerm
97 N5a5001afe34d448094423dcb87fcb8f6 schema:issueNumber 3
98 rdf:type schema:PublicationIssue
99 N7d6edc37876f4fb1bb156a65756cf1e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Neoplasm Staging
101 rdf:type schema:DefinedTerm
102 N7ec1f8abd29d47ceac3e29f8479625f8 schema:name nlm_unique_id
103 schema:value 8111104
104 rdf:type schema:PropertyValue
105 N8083de957f89456cb7404bd5d1cc3ab3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Body Mass Index
107 rdf:type schema:DefinedTerm
108 Na6939ab642994a46834f5363302a40d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Breast Neoplasms
110 rdf:type schema:DefinedTerm
111 Na7021bd93d254c8b8f1775592d1b89ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Gene Expression Profiling
113 rdf:type schema:DefinedTerm
114 Naaf0d0bd34cc4bd4b9e044b9ebd3dede schema:name pubmed_id
115 schema:value 27271766
116 rdf:type schema:PropertyValue
117 Naf7f094579a74094a33e12eaf5fde4db rdf:first sg:person.0657220153.93
118 rdf:rest Nb488bd2273314724964fbc37a0e79ec6
119 Nb488bd2273314724964fbc37a0e79ec6 rdf:first sg:person.01020741650.38
120 rdf:rest N1a7e2d156f014a5bb19882605713d158
121 Nc48b80b5bb1044ec83941e755eb15375 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Receptor, ErbB-2
123 rdf:type schema:DefinedTerm
124 Nc5d98c9f51e146cab38ec2980a1c1c14 schema:name doi
125 schema:value 10.1007/s10549-016-3846-4
126 rdf:type schema:PropertyValue
127 Ncb885a7fd6474fbd877b20dce0f294af schema:volumeNumber 157
128 rdf:type schema:PublicationVolume
129 Nda2255747ce34edf94478c54f343035e schema:name dimensions_id
130 schema:value pub.1043318277
131 rdf:type schema:PropertyValue
132 Ne0f0547789ea42d88d5e0408e4a04d71 schema:name Springer Nature - SN SciGraph project
133 rdf:type schema:Organization
134 Nf7909a5a90ac4b88aa10525f5cf61098 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Receptors, Estrogen
136 rdf:type schema:DefinedTerm
137 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
138 schema:name Medical and Health Sciences
139 rdf:type schema:DefinedTerm
140 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
141 schema:name Oncology and Carcinogenesis
142 rdf:type schema:DefinedTerm
143 sg:grant.2438793 http://pending.schema.org/fundedItem sg:pub.10.1007/s10549-016-3846-4
144 rdf:type schema:MonetaryGrant
145 sg:grant.2438854 http://pending.schema.org/fundedItem sg:pub.10.1007/s10549-016-3846-4
146 rdf:type schema:MonetaryGrant
147 sg:journal.1092777 schema:issn 0167-6806
148 1573-7217
149 schema:name Breast Cancer Research and Treatment
150 rdf:type schema:Periodical
151 sg:person.01020741650.38 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
152 schema:familyName Kidwell
153 schema:givenName Kelley M.
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020741650.38
155 rdf:type schema:Person
156 sg:person.01042733643.27 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
157 schema:familyName Henry
158 schema:givenName N. Lynn
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042733643.27
160 rdf:type schema:Person
161 sg:person.0657220153.93 schema:affiliation https://www.grid.ac/institutes/grid.214458.e
162 schema:familyName Muniz
163 schema:givenName Jeanette
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657220153.93
165 rdf:type schema:Person
166 sg:pub.10.1007/s10549-010-0990-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022806761
167 https://doi.org/10.1007/s10549-010-0990-0
168 rdf:type schema:CreativeWork
169 sg:pub.10.1007/s10549-014-3157-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047692591
170 https://doi.org/10.1007/s10549-014-3157-6
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.clon.2010.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018692528
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.jbi.2015.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036512695
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/s0140-6736(05)66544-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001690029
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/s0197-2456(02)00241-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008443990
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/s1470-2045(09)70314-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011515750
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1056/nejmoa041588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022156409
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1056/nejmoa1510764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036616787
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1080/07853890500300311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053238725
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1093/annonc/mdr025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004511253
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1093/jnci/djj494 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047575781
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1093/jnci/djv006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001669365
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1097/gme.0b013e31828ce95d schema:sameAs https://app.dimensions.ai/details/publication/pub.1041356602
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1155/2014/189384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007177964
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1158/0008-5472.sabcs12-pd10-02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063222218
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1158/1055-9965.epi-05-0042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045970473
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1161/circ.106.25.3143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075204771
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1200/jco.20.4.1128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064202823
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1200/jco.2005.01.079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032058954
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1200/jco.2005.04.7985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011750427
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1200/jco.2009.22.7918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015128971
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1200/jco.2011.39.7877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051915330
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1200/jco.2011.40.8666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011851058
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1200/jco.2012.30.27_suppl.179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083402053
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1200/jco.2012.42.5496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041989669
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1200/jco.2015.63.1440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050971008
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1242/dmm.001180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031521757
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1371/journal.pone.0041380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006757366
225 rdf:type schema:CreativeWork
226 https://www.grid.ac/institutes/grid.214458.e schema:alternateName University of Michigan–Ann Arbor
227 schema:name Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, USA
228 Department of Internal Medicine, University of Michigan Medical School, 1500 E. Medical Center Dr, Med Inn Bldg C450, 48109-5843, Ann Arbor, MI, USA
229 rdf:type schema:Organization
 




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


...