Favorable predictive value of thyroid autoimmunity in high aggressive breast cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-10

AUTHORS

E. Fiore, E. Giustarini, C. Mammoli, F. Fragomeni, D. Campani, I. Muller, A. Pinchera, C. Giani

ABSTRACT

A high incidence of anti-thyroid antibodies (TAb) has been found in patients with breast cancer (BC). The aim of this study was to evaluate the prognostic value of TAb in a group of 47 women submitted to mastectomy for high malignancy degree BC. All patients were evaluated for thyroid disorders after breast surgery and before any anti-tumoral adjuvant therapy. Five yr after BC diagnosis 31/47 (65.9%) patients were alive (survivors group: SG) and 16/47 (34.1%) were dead (deaths group: DG). The overall prevalence of TAb was 15/47 (31.9%): 14/31 (45.1%) in SG and 1/16 (6.2%) in DG (p=0.008). Five-yr mortality was 15/32 (46.9%) in TAb- and 1/15 (6.7%) in TAb+ patients (p=0.01). Eight out of 47 (17.0%) patients had Hashimoto's thyroiditis and 7 of them (87.5%) were in SG. Estrogen receptor (ER) was measured in 43/47 (91.5%) BC specimens. ER was detected in 19/30 (63.0%) patients in SG and 3/13 (23.1%) in DG (p=0.01). Five-yr mortality was 10/21 (47.6%) in ER- and 3/22 (13.6%) in ER+ patients (p=0.008). Absence of ER expression [odds ratio (OR) 6.54; p=0.006] and absence of TAb (OR 9.37; p=0.03) were related to a higher mortality rate. TAb were detected in 8/21 (38.1%) ER- and in 7/22 (31.8%) ER+ patients; no relation was found between ER expression and TAb positivity (p=ns). Patients with ER+ and TAb+ have a better prognosis and the absence of a significant relationship between these two parameters suggests an independent prognostic role in high malignancy degree BC women. More... »

PAGES

734-738

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf03350810

DOI

http://dx.doi.org/10.1007/bf03350810

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048677891

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17993764


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": "Antibodies, Anti-Idiotypic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Autoimmunity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Ductal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Progression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kaplan-Meier Estimate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphatic Metastasis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Estrogen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Regression Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thyroid Gland", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thyrotropin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thyroxine", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Pisa", 
          "id": "https://www.grid.ac/institutes/grid.5395.a", 
          "name": [
            "Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fiore", 
        "givenName": "E.", 
        "id": "sg:person.01131637346.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131637346.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pisa", 
          "id": "https://www.grid.ac/institutes/grid.5395.a", 
          "name": [
            "Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giustarini", 
        "givenName": "E.", 
        "id": "sg:person.01107237611.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107237611.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pisa", 
          "id": "https://www.grid.ac/institutes/grid.5395.a", 
          "name": [
            "Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mammoli", 
        "givenName": "C.", 
        "id": "sg:person.01251717056.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251717056.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pisa", 
          "id": "https://www.grid.ac/institutes/grid.5395.a", 
          "name": [
            "Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fragomeni", 
        "givenName": "F.", 
        "id": "sg:person.0613661765.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613661765.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pisa", 
          "id": "https://www.grid.ac/institutes/grid.5395.a", 
          "name": [
            "Department of Oncology, Unit of Pathology, University of Pisa, Pisa, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Campani", 
        "givenName": "D.", 
        "id": "sg:person.01341670152.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341670152.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pisa", 
          "id": "https://www.grid.ac/institutes/grid.5395.a", 
          "name": [
            "Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Muller", 
        "givenName": "I.", 
        "id": "sg:person.01263423373.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263423373.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pisa", 
          "id": "https://www.grid.ac/institutes/grid.5395.a", 
          "name": [
            "Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pinchera", 
        "givenName": "A.", 
        "id": "sg:person.01344402654.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344402654.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pisa", 
          "id": "https://www.grid.ac/institutes/grid.5395.a", 
          "name": [
            "Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giani", 
        "givenName": "C.", 
        "id": "sg:person.0674444215.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674444215.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1530/eje.1.02108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001665209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/78630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011809905", 
          "https://doi.org/10.1038/78630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/78630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011809905", 
          "https://doi.org/10.1038/78630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1074-7613(02)00480-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012436194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1005769925670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017679677", 
          "https://doi.org/10.1023/a:1005769925670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.coi.2003.09.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020085222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.coi.2003.09.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020085222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(197507)36:1<1::aid-cncr2820360102>3.0.co;2-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028624131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19930301)71:5<1780::aid-cncr2820710512>3.0.co;2-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033073838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.188.2.409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040423918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045423949", 
          "https://doi.org/10.1186/bcr609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/thy.2005.15.1253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049257632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/endo-125-3-1211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064262649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.83.8.2711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064300339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem-72-1-209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064316597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem.81.3.8772562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064320095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1999.17.5.1474", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074460868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074665592", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076977971", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079019530", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083227937", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-10", 
    "datePublishedReg": "2007-10-01", 
    "description": "A high incidence of anti-thyroid antibodies (TAb) has been found in patients with breast cancer (BC). The aim of this study was to evaluate the prognostic value of TAb in a group of 47 women submitted to mastectomy for high malignancy degree BC. All patients were evaluated for thyroid disorders after breast surgery and before any anti-tumoral adjuvant therapy. Five yr after BC diagnosis 31/47 (65.9%) patients were alive (survivors group: SG) and 16/47 (34.1%) were dead (deaths group: DG). The overall prevalence of TAb was 15/47 (31.9%): 14/31 (45.1%) in SG and 1/16 (6.2%) in DG (p=0.008). Five-yr mortality was 15/32 (46.9%) in TAb- and 1/15 (6.7%) in TAb+ patients (p=0.01). Eight out of 47 (17.0%) patients had Hashimoto's thyroiditis and 7 of them (87.5%) were in SG. Estrogen receptor (ER) was measured in 43/47 (91.5%) BC specimens. ER was detected in 19/30 (63.0%) patients in SG and 3/13 (23.1%) in DG (p=0.01). Five-yr mortality was 10/21 (47.6%) in ER- and 3/22 (13.6%) in ER+ patients (p=0.008). Absence of ER expression [odds ratio (OR) 6.54; p=0.006] and absence of TAb (OR 9.37; p=0.03) were related to a higher mortality rate. TAb were detected in 8/21 (38.1%) ER- and in 7/22 (31.8%) ER+ patients; no relation was found between ER expression and TAb positivity (p=ns). Patients with ER+ and TAb+ have a better prognosis and the absence of a significant relationship between these two parameters suggests an independent prognostic role in high malignancy degree BC women.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf03350810", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1088396", 
        "issn": [
          "0391-4097", 
          "1720-8386"
        ], 
        "name": "Journal of Endocrinological Investigation", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Favorable predictive value of thyroid autoimmunity in high aggressive breast cancer", 
    "pagination": "734-738", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e7e4731c773f9528378de7e46ee69271d3a1c3c970ccc8ec4e8df3c3f18d0e95"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17993764"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7806594"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf03350810"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048677891"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf03350810", 
      "https://app.dimensions.ai/details/publication/pub.1048677891"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:51", 
    "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_8681_00000483.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF03350810"
  }
]
 

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/bf03350810'

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/bf03350810'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf03350810'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf03350810'


 

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

263 TRIPLES      21 PREDICATES      70 URIs      43 LITERALS      31 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf03350810 schema:about N172af72b962645fbb3ce7deb0f73c6e0
2 N19c0351bf24e487fb4901849f964da38
3 N329639a9c4c141a8a816f3f85a697a8a
4 N38f9911d1f7646ed94f579cdeab2e090
5 N527c886c921b4febbe867a5cba8bec1f
6 N52c5e2c59f7c497294d5d9b598b13866
7 N64cbd590b80f46a3a5d2c3bff75dc852
8 N65fc12f9539c4124ba9e2709821eba4e
9 N81176d1ecdaa43bd8e7305b7afd457a4
10 N81a31abd58ce49699eeab059a822ecea
11 N8a3578d25a2e44fdb8f23fa62b35a92a
12 N90a11550566e4bc9a39e21611a57200d
13 N95902a426c2d40a2851dccba50856874
14 N986f8352036546d38e4ca16727df7794
15 Na264fca649974ee586e01ddee99ef4c6
16 Nd1078e39c14f4941a4e6bcb851fc8ae4
17 Ne2d6a4297e3e4dffac4d6a5cb1009614
18 Ne8ee0f7269a94552a83523c0f40443fd
19 Neabae7ecc664468294c41111adcd4acc
20 Nf212787ee8ea4ea8951cf6ca539583cb
21 Nf5ec4c3faac3468a8079ff7dbe0c0377
22 Nf8962936a9c14ec1ac643eb29f389dd7
23 anzsrc-for:11
24 anzsrc-for:1112
25 schema:author Na3455d2f0de742eb9f084a7015417e08
26 schema:citation sg:pub.10.1023/a:1005769925670
27 sg:pub.10.1038/78630
28 sg:pub.10.1186/bcr609
29 https://app.dimensions.ai/details/publication/pub.1074665592
30 https://app.dimensions.ai/details/publication/pub.1076977971
31 https://app.dimensions.ai/details/publication/pub.1079019530
32 https://app.dimensions.ai/details/publication/pub.1083227937
33 https://doi.org/10.1002/1097-0142(197507)36:1<1::aid-cncr2820360102>3.0.co;2-4
34 https://doi.org/10.1002/1097-0142(19930301)71:5<1780::aid-cncr2820710512>3.0.co;2-2
35 https://doi.org/10.1016/j.coi.2003.09.018
36 https://doi.org/10.1016/s1074-7613(02)00480-6
37 https://doi.org/10.1084/jem.188.2.409
38 https://doi.org/10.1089/thy.2005.15.1253
39 https://doi.org/10.1200/jco.1999.17.5.1474
40 https://doi.org/10.1210/endo-125-3-1211
41 https://doi.org/10.1210/jc.83.8.2711
42 https://doi.org/10.1210/jcem-72-1-209
43 https://doi.org/10.1210/jcem.81.3.8772562
44 https://doi.org/10.1530/eje.1.02108
45 schema:datePublished 2007-10
46 schema:datePublishedReg 2007-10-01
47 schema:description A high incidence of anti-thyroid antibodies (TAb) has been found in patients with breast cancer (BC). The aim of this study was to evaluate the prognostic value of TAb in a group of 47 women submitted to mastectomy for high malignancy degree BC. All patients were evaluated for thyroid disorders after breast surgery and before any anti-tumoral adjuvant therapy. Five yr after BC diagnosis 31/47 (65.9%) patients were alive (survivors group: SG) and 16/47 (34.1%) were dead (deaths group: DG). The overall prevalence of TAb was 15/47 (31.9%): 14/31 (45.1%) in SG and 1/16 (6.2%) in DG (p=0.008). Five-yr mortality was 15/32 (46.9%) in TAb- and 1/15 (6.7%) in TAb+ patients (p=0.01). Eight out of 47 (17.0%) patients had Hashimoto's thyroiditis and 7 of them (87.5%) were in SG. Estrogen receptor (ER) was measured in 43/47 (91.5%) BC specimens. ER was detected in 19/30 (63.0%) patients in SG and 3/13 (23.1%) in DG (p=0.01). Five-yr mortality was 10/21 (47.6%) in ER- and 3/22 (13.6%) in ER+ patients (p=0.008). Absence of ER expression [odds ratio (OR) 6.54; p=0.006] and absence of TAb (OR 9.37; p=0.03) were related to a higher mortality rate. TAb were detected in 8/21 (38.1%) ER- and in 7/22 (31.8%) ER+ patients; no relation was found between ER expression and TAb positivity (p=ns). Patients with ER+ and TAb+ have a better prognosis and the absence of a significant relationship between these two parameters suggests an independent prognostic role in high malignancy degree BC women.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree false
51 schema:isPartOf N724de624371449e5902cc171b76a993e
52 Ncbc8abea79464b9dbd442989e91fcd11
53 sg:journal.1088396
54 schema:name Favorable predictive value of thyroid autoimmunity in high aggressive breast cancer
55 schema:pagination 734-738
56 schema:productId N4f02fdcdebda48a59f581b27d2bc6d11
57 Naf38307b5e844c4790e3d0ee3fa7886a
58 Ndf8c25a25262459eb2a0b5158fac8db2
59 Nf6b92ed90c684c51b882a539f9e3f6c2
60 Nfb90e61c2fca4c9f8b8f09b3a334ca8e
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048677891
62 https://doi.org/10.1007/bf03350810
63 schema:sdDatePublished 2019-04-10T19:51
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N69f42e448cbc4655a40fd074d9149dc0
66 schema:url http://link.springer.com/10.1007/BF03350810
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N00b69dd3246b43d5b4d3ca6f01e5c1f5 rdf:first sg:person.01341670152.67
71 rdf:rest N473544d3109246a3bae62524d98fcee1
72 N172af72b962645fbb3ce7deb0f73c6e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Middle Aged
74 rdf:type schema:DefinedTerm
75 N19c0351bf24e487fb4901849f964da38 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Antibodies, Anti-Idiotypic
77 rdf:type schema:DefinedTerm
78 N329639a9c4c141a8a816f3f85a697a8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Follow-Up Studies
80 rdf:type schema:DefinedTerm
81 N37ddbf142cd24a5183f66fa8db1de3b3 rdf:first sg:person.01107237611.57
82 rdf:rest N8c76dd3ba25a4d53bf2744d2685ed176
83 N38f9911d1f7646ed94f579cdeab2e090 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Thyrotropin
85 rdf:type schema:DefinedTerm
86 N473544d3109246a3bae62524d98fcee1 rdf:first sg:person.01263423373.00
87 rdf:rest N63ebafcdc489492e8b61d73febd280c2
88 N4d651d141f74481fb708c1b602c84ef6 rdf:first sg:person.0674444215.05
89 rdf:rest rdf:nil
90 N4f02fdcdebda48a59f581b27d2bc6d11 schema:name pubmed_id
91 schema:value 17993764
92 rdf:type schema:PropertyValue
93 N527c886c921b4febbe867a5cba8bec1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Disease Progression
95 rdf:type schema:DefinedTerm
96 N52c5e2c59f7c497294d5d9b598b13866 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Multivariate Analysis
98 rdf:type schema:DefinedTerm
99 N63ebafcdc489492e8b61d73febd280c2 rdf:first sg:person.01344402654.02
100 rdf:rest N4d651d141f74481fb708c1b602c84ef6
101 N64cbd590b80f46a3a5d2c3bff75dc852 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Breast Neoplasms
103 rdf:type schema:DefinedTerm
104 N65fc12f9539c4124ba9e2709821eba4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Adult
106 rdf:type schema:DefinedTerm
107 N69f42e448cbc4655a40fd074d9149dc0 schema:name Springer Nature - SN SciGraph project
108 rdf:type schema:Organization
109 N724de624371449e5902cc171b76a993e schema:issueNumber 9
110 rdf:type schema:PublicationIssue
111 N81176d1ecdaa43bd8e7305b7afd457a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Autoimmunity
113 rdf:type schema:DefinedTerm
114 N81a31abd58ce49699eeab059a822ecea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Carcinoma, Ductal
116 rdf:type schema:DefinedTerm
117 N8a3578d25a2e44fdb8f23fa62b35a92a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Regression Analysis
119 rdf:type schema:DefinedTerm
120 N8b076cc02add4ce9b04801d568b4b3e5 rdf:first sg:person.0613661765.24
121 rdf:rest N00b69dd3246b43d5b4d3ca6f01e5c1f5
122 N8c76dd3ba25a4d53bf2744d2685ed176 rdf:first sg:person.01251717056.77
123 rdf:rest N8b076cc02add4ce9b04801d568b4b3e5
124 N90a11550566e4bc9a39e21611a57200d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Aged
126 rdf:type schema:DefinedTerm
127 N95902a426c2d40a2851dccba50856874 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Prognosis
129 rdf:type schema:DefinedTerm
130 N986f8352036546d38e4ca16727df7794 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Receptors, Estrogen
132 rdf:type schema:DefinedTerm
133 Na264fca649974ee586e01ddee99ef4c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Lymphatic Metastasis
135 rdf:type schema:DefinedTerm
136 Na3455d2f0de742eb9f084a7015417e08 rdf:first sg:person.01131637346.25
137 rdf:rest N37ddbf142cd24a5183f66fa8db1de3b3
138 Naf38307b5e844c4790e3d0ee3fa7886a schema:name nlm_unique_id
139 schema:value 7806594
140 rdf:type schema:PropertyValue
141 Ncbc8abea79464b9dbd442989e91fcd11 schema:volumeNumber 30
142 rdf:type schema:PublicationVolume
143 Nd1078e39c14f4941a4e6bcb851fc8ae4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Thyroid Gland
145 rdf:type schema:DefinedTerm
146 Ndf8c25a25262459eb2a0b5158fac8db2 schema:name dimensions_id
147 schema:value pub.1048677891
148 rdf:type schema:PropertyValue
149 Ne2d6a4297e3e4dffac4d6a5cb1009614 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Thyroxine
151 rdf:type schema:DefinedTerm
152 Ne8ee0f7269a94552a83523c0f40443fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Kaplan-Meier Estimate
154 rdf:type schema:DefinedTerm
155 Neabae7ecc664468294c41111adcd4acc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Female
157 rdf:type schema:DefinedTerm
158 Nf212787ee8ea4ea8951cf6ca539583cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Predictive Value of Tests
160 rdf:type schema:DefinedTerm
161 Nf5ec4c3faac3468a8079ff7dbe0c0377 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Prospective Studies
163 rdf:type schema:DefinedTerm
164 Nf6b92ed90c684c51b882a539f9e3f6c2 schema:name doi
165 schema:value 10.1007/bf03350810
166 rdf:type schema:PropertyValue
167 Nf8962936a9c14ec1ac643eb29f389dd7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Humans
169 rdf:type schema:DefinedTerm
170 Nfb90e61c2fca4c9f8b8f09b3a334ca8e schema:name readcube_id
171 schema:value e7e4731c773f9528378de7e46ee69271d3a1c3c970ccc8ec4e8df3c3f18d0e95
172 rdf:type schema:PropertyValue
173 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
174 schema:name Medical and Health Sciences
175 rdf:type schema:DefinedTerm
176 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
177 schema:name Oncology and Carcinogenesis
178 rdf:type schema:DefinedTerm
179 sg:journal.1088396 schema:issn 0391-4097
180 1720-8386
181 schema:name Journal of Endocrinological Investigation
182 rdf:type schema:Periodical
183 sg:person.01107237611.57 schema:affiliation https://www.grid.ac/institutes/grid.5395.a
184 schema:familyName Giustarini
185 schema:givenName E.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107237611.57
187 rdf:type schema:Person
188 sg:person.01131637346.25 schema:affiliation https://www.grid.ac/institutes/grid.5395.a
189 schema:familyName Fiore
190 schema:givenName E.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131637346.25
192 rdf:type schema:Person
193 sg:person.01251717056.77 schema:affiliation https://www.grid.ac/institutes/grid.5395.a
194 schema:familyName Mammoli
195 schema:givenName C.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251717056.77
197 rdf:type schema:Person
198 sg:person.01263423373.00 schema:affiliation https://www.grid.ac/institutes/grid.5395.a
199 schema:familyName Muller
200 schema:givenName I.
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263423373.00
202 rdf:type schema:Person
203 sg:person.01341670152.67 schema:affiliation https://www.grid.ac/institutes/grid.5395.a
204 schema:familyName Campani
205 schema:givenName D.
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341670152.67
207 rdf:type schema:Person
208 sg:person.01344402654.02 schema:affiliation https://www.grid.ac/institutes/grid.5395.a
209 schema:familyName Pinchera
210 schema:givenName A.
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344402654.02
212 rdf:type schema:Person
213 sg:person.0613661765.24 schema:affiliation https://www.grid.ac/institutes/grid.5395.a
214 schema:familyName Fragomeni
215 schema:givenName F.
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613661765.24
217 rdf:type schema:Person
218 sg:person.0674444215.05 schema:affiliation https://www.grid.ac/institutes/grid.5395.a
219 schema:familyName Giani
220 schema:givenName C.
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674444215.05
222 rdf:type schema:Person
223 sg:pub.10.1023/a:1005769925670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017679677
224 https://doi.org/10.1023/a:1005769925670
225 rdf:type schema:CreativeWork
226 sg:pub.10.1038/78630 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011809905
227 https://doi.org/10.1038/78630
228 rdf:type schema:CreativeWork
229 sg:pub.10.1186/bcr609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045423949
230 https://doi.org/10.1186/bcr609
231 rdf:type schema:CreativeWork
232 https://app.dimensions.ai/details/publication/pub.1074665592 schema:CreativeWork
233 https://app.dimensions.ai/details/publication/pub.1076977971 schema:CreativeWork
234 https://app.dimensions.ai/details/publication/pub.1079019530 schema:CreativeWork
235 https://app.dimensions.ai/details/publication/pub.1083227937 schema:CreativeWork
236 https://doi.org/10.1002/1097-0142(197507)36:1<1::aid-cncr2820360102>3.0.co;2-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028624131
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1002/1097-0142(19930301)71:5<1780::aid-cncr2820710512>3.0.co;2-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033073838
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.coi.2003.09.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020085222
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/s1074-7613(02)00480-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012436194
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1084/jem.188.2.409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040423918
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1089/thy.2005.15.1253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049257632
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1200/jco.1999.17.5.1474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074460868
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1210/endo-125-3-1211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064262649
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1210/jc.83.8.2711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064300339
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1210/jcem-72-1-209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064316597
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1210/jcem.81.3.8772562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064320095
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1530/eje.1.02108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001665209
259 rdf:type schema:CreativeWork
260 https://www.grid.ac/institutes/grid.5395.a schema:alternateName University of Pisa
261 schema:name Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy
262 Department of Oncology, Unit of Pathology, University of Pisa, Pisa, Italy
263 rdf:type schema:Organization
 




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


...