Biological characteristics of interval cancers: a role for biomarkers in the breast cancer screening View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-02

AUTHORS

A. Caldarella, D. Puliti, E. Crocetti, S. Bianchi, V. Vezzosi, P. Apicella, M. Biancalani, A. Giannini, C. Urso, F. Zolfanelli, E. Paci

ABSTRACT

INTRODUCTION: In a population-based screening program, a percentage of tumors remain undetected; these tumors comprise a heterogeneous group, and they are more likely to have adverse prognostic features. The aim of this study was to identify differences in biological characteristics of screen-detected versus interval breast cancers in a population-based screening program according to molecular subtypes. MATERIALS AND METHODS: We analyzed the population-based data from a long-running screening program in the area of Florence. Data on screening history and on age, T and N status, grade, histotype, hormonal status and Ki-67 and HER2 expression were retrieved. Subtypes of breast cancer were defined on the expression of ER, PR, Ki-67 and HER2: luminal A if ER/PR+, HER2- and Ki67 <14 %, luminal B (HER2 negative) if ER/PR+, HER2- and Ki67 ≥14 %, luminal B (HER2 positive) if ER/PR+ and HER2+, triple negative if ER/PR-and HER2-, HER2 positive if ER/PR- and HER2+. Association between molecular subtypes and mode of detection will be evaluated by a logistic regression model adjusted for the potential confounding variables. RESULTS: Information about biomarkers was known for 277 cases, 211 screening-detected and 66 interval cancers. Among interval cases, the triple-negative cancers were more represented than luminal A (OR = 3.52; CI, 1.112-11.13; p = 0.0319), while the proportion of HER2+ was quite similar (OR = 1.57; p = 0.4709). CONCLUSION: Although made on a small number of cases, our results suggest a difference in distribution of molecular subtypes according to mode detection, confirming the results of earlier studies. More... »

PAGES

181-185

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00432-012-1304-1

DOI

http://dx.doi.org/10.1007/s00432-012-1304-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1025018672

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22961208


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "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": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Early Detection of Cancer", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ki-67 Antigen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "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": "Receptors, Progesterone", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Clinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Caldarella", 
        "givenName": "A.", 
        "id": "sg:person.01112315000.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112315000.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Puliti", 
        "givenName": "D.", 
        "id": "sg:person.0640755053.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640755053.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Crocetti", 
        "givenName": "E.", 
        "id": "sg:person.0700466552.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700466552.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florence", 
          "id": "https://www.grid.ac/institutes/grid.8404.8", 
          "name": [
            "Section of Pathological Anatomy, Department of Medical and Surgical Critical Care, University of Florence, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bianchi", 
        "givenName": "S.", 
        "id": "sg:person.07675154000.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07675154000.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Florence", 
          "id": "https://www.grid.ac/institutes/grid.8404.8", 
          "name": [
            "Section of Pathological Anatomy, Department of Medical and Surgical Critical Care, University of Florence, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vezzosi", 
        "givenName": "V.", 
        "id": "sg:person.01041627227.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041627227.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale del Ceppo", 
          "id": "https://www.grid.ac/institutes/grid.415815.c", 
          "name": [
            "Anatomic Pathology, Pistoia Hospital, Pistoia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Apicella", 
        "givenName": "P.", 
        "id": "sg:person.0617365700.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617365700.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale San Giuseppe", 
          "id": "https://www.grid.ac/institutes/grid.416367.1", 
          "name": [
            "Pathological Anatomy, San Giuseppe Hospital, Empoli, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Biancalani", 
        "givenName": "M.", 
        "id": "sg:person.0665501100.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665501100.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Anatomic Pathology, Misericordia e Dolce Hospital, Prato, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giannini", 
        "givenName": "A.", 
        "id": "sg:person.0657155013.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657155013.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ospedale Santa Maria Annunziata", 
          "id": "https://www.grid.ac/institutes/grid.415194.c", 
          "name": [
            "Anatomic Pathology, S. M. Annunziata Hospital, Firenze, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Urso", 
        "givenName": "C.", 
        "id": "sg:person.01010451263.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010451263.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Anatomic Pathology, S. Giovanni di Dio Hospital, Firenze, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zolfanelli", 
        "givenName": "F.", 
        "id": "sg:person.01343734676.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343734676.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paci", 
        "givenName": "E.", 
        "id": "sg:person.01372154307.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372154307.39"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1524-4741.2010.00907.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006860609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1524-4741.2010.00907.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006860609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-010-9541-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007522773", 
          "https://doi.org/10.1007/s10552-010-9541-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-010-9541-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007522773", 
          "https://doi.org/10.1007/s10552-010-9541-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-08-0805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007784115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdr304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009166329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2559.1991.tb00229.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010222506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2559.1991.tb00229.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010222506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djr138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013564659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6605317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015637210", 
          "https://doi.org/10.1038/sj.bjc.6605317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6605317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015637210", 
          "https://doi.org/10.1038/sj.bjc.6605317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djr046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016356866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.canep.2010.11.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018614853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12253-008-9010-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019627878", 
          "https://doi.org/10.1007/s12253-008-9010-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-009-1656-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021200285", 
          "https://doi.org/10.1007/s00330-009-1656-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-009-1656-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021200285", 
          "https://doi.org/10.1007/s00330-009-1656-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-009-1656-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021200285", 
          "https://doi.org/10.1007/s00330-009-1656-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-007-9810-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023841624", 
          "https://doi.org/10.1007/s10549-007-9810-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-007-9810-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023841624", 
          "https://doi.org/10.1007/s10549-007-9810-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-07-5003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024659728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-011-1748-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024948997", 
          "https://doi.org/10.1007/s10549-011-1748-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djr263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027670692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-04-0394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029472148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1349-7006.2011.02088.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033230357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12253-011-9381-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033604016", 
          "https://doi.org/10.1007/s12253-011-9381-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.27515", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034357025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.27515", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034357025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djq540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035344209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djr225", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038441553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr3080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040107485", 
          "https://doi.org/10.1186/bcr3080"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2011.37.6434", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042675181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1586/14737159.7.5.533", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049767475"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-011-1448-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052743160", 
          "https://doi.org/10.1007/s10549-011-1448-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12282-010-0223-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053445771", 
          "https://doi.org/10.1007/s12282-010-0223-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076610395", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-02", 
    "datePublishedReg": "2013-02-01", 
    "description": "INTRODUCTION: In a population-based screening program, a percentage of tumors remain undetected; these tumors comprise a heterogeneous group, and they are more likely to have adverse prognostic features. The aim of this study was to identify differences in biological characteristics of screen-detected versus interval breast cancers in a population-based screening program according to molecular subtypes.\nMATERIALS AND METHODS: We analyzed the population-based data from a long-running screening program in the area of Florence. Data on screening history and on age, T and N status, grade, histotype, hormonal status and Ki-67 and HER2 expression were retrieved. Subtypes of breast cancer were defined on the expression of ER, PR, Ki-67 and HER2: luminal A if ER/PR+, HER2- and Ki67 <14 %, luminal B (HER2 negative) if ER/PR+, HER2- and Ki67 \u226514 %, luminal B (HER2 positive) if ER/PR+ and HER2+, triple negative if ER/PR-and HER2-, HER2 positive if ER/PR- and HER2+. Association between molecular subtypes and mode of detection will be evaluated by a logistic regression model adjusted for the potential confounding variables.\nRESULTS: Information about biomarkers was known for 277 cases, 211 screening-detected and 66 interval cancers. Among interval cases, the triple-negative cancers were more represented than luminal A (OR = 3.52; CI, 1.112-11.13; p = 0.0319), while the proportion of HER2+ was quite similar (OR = 1.57; p = 0.4709).\nCONCLUSION: Although made on a small number of cases, our results suggest a difference in distribution of molecular subtypes according to mode detection, confirming the results of earlier studies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00432-012-1304-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1313647", 
        "issn": [
          "0171-5216", 
          "1432-1335"
        ], 
        "name": "Journal of Cancer Research and Clinical Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "139"
      }
    ], 
    "name": "Biological characteristics of interval cancers: a role for biomarkers in the breast cancer screening", 
    "pagination": "181-185", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "772ffff4b37e62fbfde6b30b4547fa73e7e56ec12231bcf11c99e2f63f73b97b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22961208"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7902060"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00432-012-1304-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1025018672"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00432-012-1304-1", 
      "https://app.dimensions.ai/details/publication/pub.1025018672"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:26", 
    "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_8690_00000488.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00432-012-1304-1"
  }
]
 

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/s00432-012-1304-1'

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/s00432-012-1304-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00432-012-1304-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00432-012-1304-1'


 

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

302 TRIPLES      21 PREDICATES      69 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00432-012-1304-1 schema:about N094225a9686c4351be657e1ee19936e4
2 N0add777d192f49e3abfa770bd27f731b
3 N2c18196c76d1444db0f8510abb763fd5
4 N440f7fdfeeb14d1396a0233171e8e423
5 N4628ea80dfd14ffe8d7f5fc4af1ac9b0
6 N5b3bd2c769f248029f967ea1d1fb9c95
7 N6376280e76124a738fc9af841231c603
8 N9aaace5bfd554ba0abf62f52b4c70820
9 Nb60122f60c324b879bdea50fea7b12b2
10 Ncf122baf49a942ca8c65f47a774f7464
11 Nf242ce7832fb40a69201770289bb8a89
12 Nf6eef305f1f04e64ab55074e8db5a5de
13 Nf77d6f92de8141c9ac6137f34c847b2c
14 anzsrc-for:11
15 anzsrc-for:1117
16 schema:author Ne31ab8cd49844bc1a12b1760c1fe41ef
17 schema:citation sg:pub.10.1007/s00330-009-1656-3
18 sg:pub.10.1007/s10549-007-9810-6
19 sg:pub.10.1007/s10549-011-1448-8
20 sg:pub.10.1007/s10549-011-1748-z
21 sg:pub.10.1007/s10552-010-9541-6
22 sg:pub.10.1007/s12253-008-9010-7
23 sg:pub.10.1007/s12253-011-9381-z
24 sg:pub.10.1007/s12282-010-0223-8
25 sg:pub.10.1038/sj.bjc.6605317
26 sg:pub.10.1186/bcr3080
27 https://app.dimensions.ai/details/publication/pub.1076610395
28 https://doi.org/10.1002/ijc.27515
29 https://doi.org/10.1016/j.canep.2010.11.011
30 https://doi.org/10.1093/annonc/mdr304
31 https://doi.org/10.1093/jnci/djq540
32 https://doi.org/10.1093/jnci/djr046
33 https://doi.org/10.1093/jnci/djr138
34 https://doi.org/10.1093/jnci/djr225
35 https://doi.org/10.1093/jnci/djr263
36 https://doi.org/10.1111/j.1349-7006.2011.02088.x
37 https://doi.org/10.1111/j.1365-2559.1991.tb00229.x
38 https://doi.org/10.1111/j.1524-4741.2010.00907.x
39 https://doi.org/10.1158/1055-9965.epi-04-0394
40 https://doi.org/10.1158/1055-9965.epi-08-0805
41 https://doi.org/10.1158/1078-0432.ccr-07-5003
42 https://doi.org/10.1200/jco.2011.37.6434
43 https://doi.org/10.1586/14737159.7.5.533
44 schema:datePublished 2013-02
45 schema:datePublishedReg 2013-02-01
46 schema:description INTRODUCTION: In a population-based screening program, a percentage of tumors remain undetected; these tumors comprise a heterogeneous group, and they are more likely to have adverse prognostic features. The aim of this study was to identify differences in biological characteristics of screen-detected versus interval breast cancers in a population-based screening program according to molecular subtypes. MATERIALS AND METHODS: We analyzed the population-based data from a long-running screening program in the area of Florence. Data on screening history and on age, T and N status, grade, histotype, hormonal status and Ki-67 and HER2 expression were retrieved. Subtypes of breast cancer were defined on the expression of ER, PR, Ki-67 and HER2: luminal A if ER/PR+, HER2- and Ki67 <14 %, luminal B (HER2 negative) if ER/PR+, HER2- and Ki67 ≥14 %, luminal B (HER2 positive) if ER/PR+ and HER2+, triple negative if ER/PR-and HER2-, HER2 positive if ER/PR- and HER2+. Association between molecular subtypes and mode of detection will be evaluated by a logistic regression model adjusted for the potential confounding variables. RESULTS: Information about biomarkers was known for 277 cases, 211 screening-detected and 66 interval cancers. Among interval cases, the triple-negative cancers were more represented than luminal A (OR = 3.52; CI, 1.112-11.13; p = 0.0319), while the proportion of HER2+ was quite similar (OR = 1.57; p = 0.4709). CONCLUSION: Although made on a small number of cases, our results suggest a difference in distribution of molecular subtypes according to mode detection, confirming the results of earlier studies.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree false
50 schema:isPartOf N11515d3fad8345aa9a512d9c5b5d9cd6
51 N63a8c09683a647f884791161ffa50eed
52 sg:journal.1313647
53 schema:name Biological characteristics of interval cancers: a role for biomarkers in the breast cancer screening
54 schema:pagination 181-185
55 schema:productId N4ae6072527414223819833d3cef3afe3
56 N67e46cb2848b46b99c9bc224ae81bdbb
57 Nb044003c98fa4622890cc8d3c78f0dc7
58 Nfd59d70ca3894adf8777fd967d91bd67
59 Nfed940b24be74c8ca57b8b6fbd60f6b6
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025018672
61 https://doi.org/10.1007/s00432-012-1304-1
62 schema:sdDatePublished 2019-04-10T22:26
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N18928c467905428ea78940ca11298947
65 schema:url http://link.springer.com/10.1007/s00432-012-1304-1
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N02b59673271d42bf93dbf6c0b7e7bd34 rdf:first sg:person.01343734676.51
70 rdf:rest Nab33607f6c764716ab908c98e7d047ae
71 N094225a9686c4351be657e1ee19936e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Ki-67 Antigen
73 rdf:type schema:DefinedTerm
74 N0add777d192f49e3abfa770bd27f731b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Prognosis
76 rdf:type schema:DefinedTerm
77 N11515d3fad8345aa9a512d9c5b5d9cd6 schema:volumeNumber 139
78 rdf:type schema:PublicationVolume
79 N18928c467905428ea78940ca11298947 schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 N287236b517eb4a2cb01d409e9f8de692 schema:name Anatomic Pathology, S. Giovanni di Dio Hospital, Firenze, Italy
82 rdf:type schema:Organization
83 N2c18196c76d1444db0f8510abb763fd5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Breast Neoplasms
85 rdf:type schema:DefinedTerm
86 N3fa1407fbeab4fcdb2650f45ccf3052d rdf:first sg:person.0665501100.28
87 rdf:rest N663c4d0e82724125adbff44543d32f9e
88 N440f7fdfeeb14d1396a0233171e8e423 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Neoplasm Staging
90 rdf:type schema:DefinedTerm
91 N4628ea80dfd14ffe8d7f5fc4af1ac9b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Humans
93 rdf:type schema:DefinedTerm
94 N4ae6072527414223819833d3cef3afe3 schema:name doi
95 schema:value 10.1007/s00432-012-1304-1
96 rdf:type schema:PropertyValue
97 N4e7e58b68f6748809960db7c4f015fa4 rdf:first sg:person.0617365700.38
98 rdf:rest N3fa1407fbeab4fcdb2650f45ccf3052d
99 N5b3bd2c769f248029f967ea1d1fb9c95 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Female
101 rdf:type schema:DefinedTerm
102 N6376280e76124a738fc9af841231c603 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Receptors, Progesterone
104 rdf:type schema:DefinedTerm
105 N63a8c09683a647f884791161ffa50eed schema:issueNumber 2
106 rdf:type schema:PublicationIssue
107 N663c4d0e82724125adbff44543d32f9e rdf:first sg:person.0657155013.59
108 rdf:rest Nd453a683e82e48d6a35a9f649306a93e
109 N6647917a6f534cd3b01db26eeeb0a36b rdf:first sg:person.01041627227.97
110 rdf:rest N4e7e58b68f6748809960db7c4f015fa4
111 N67e46cb2848b46b99c9bc224ae81bdbb schema:name nlm_unique_id
112 schema:value 7902060
113 rdf:type schema:PropertyValue
114 N6c24f6f3bd22402c898a34736ac5b496 schema:name Clinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141, Florence, Italy
115 rdf:type schema:Organization
116 N7ad5574ba73340cdb8a8d0db6e19e5c6 rdf:first sg:person.0700466552.06
117 rdf:rest Nb198a7c967f24664a2a15a5027dae12b
118 N81666c0061d24de4b12ba83d3cdce9e7 schema:name Anatomic Pathology, Misericordia e Dolce Hospital, Prato, Italy
119 rdf:type schema:Organization
120 N83a14fd571434a95bd6dec8dad7ceade schema:name Clinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141, Florence, Italy
121 rdf:type schema:Organization
122 N9aaace5bfd554ba0abf62f52b4c70820 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Aged
124 rdf:type schema:DefinedTerm
125 Na803e39c696d46c79d815cc460d97047 rdf:first sg:person.0640755053.30
126 rdf:rest N7ad5574ba73340cdb8a8d0db6e19e5c6
127 Nab33607f6c764716ab908c98e7d047ae rdf:first sg:person.01372154307.39
128 rdf:rest rdf:nil
129 Nad3f52cfbec54197bf27b59a8dbdd386 schema:name Clinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141, Florence, Italy
130 rdf:type schema:Organization
131 Nb044003c98fa4622890cc8d3c78f0dc7 schema:name pubmed_id
132 schema:value 22961208
133 rdf:type schema:PropertyValue
134 Nb198a7c967f24664a2a15a5027dae12b rdf:first sg:person.07675154000.55
135 rdf:rest N6647917a6f534cd3b01db26eeeb0a36b
136 Nb3850a74f09242a7875b0ff15dcbbeb0 schema:name Clinical and Descriptive Epidemiology Unit, Institute for Study and Cancer Prevention (ISPO), Via delle Oblate 2, 50141, Florence, Italy
137 rdf:type schema:Organization
138 Nb60122f60c324b879bdea50fea7b12b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Receptor, ErbB-2
140 rdf:type schema:DefinedTerm
141 Ncf122baf49a942ca8c65f47a774f7464 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Middle Aged
143 rdf:type schema:DefinedTerm
144 Nd453a683e82e48d6a35a9f649306a93e rdf:first sg:person.01010451263.92
145 rdf:rest N02b59673271d42bf93dbf6c0b7e7bd34
146 Ne31ab8cd49844bc1a12b1760c1fe41ef rdf:first sg:person.01112315000.16
147 rdf:rest Na803e39c696d46c79d815cc460d97047
148 Nf242ce7832fb40a69201770289bb8a89 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Biomarkers, Tumor
150 rdf:type schema:DefinedTerm
151 Nf6eef305f1f04e64ab55074e8db5a5de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Receptors, Estrogen
153 rdf:type schema:DefinedTerm
154 Nf77d6f92de8141c9ac6137f34c847b2c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Early Detection of Cancer
156 rdf:type schema:DefinedTerm
157 Nfd59d70ca3894adf8777fd967d91bd67 schema:name readcube_id
158 schema:value 772ffff4b37e62fbfde6b30b4547fa73e7e56ec12231bcf11c99e2f63f73b97b
159 rdf:type schema:PropertyValue
160 Nfed940b24be74c8ca57b8b6fbd60f6b6 schema:name dimensions_id
161 schema:value pub.1025018672
162 rdf:type schema:PropertyValue
163 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
164 schema:name Medical and Health Sciences
165 rdf:type schema:DefinedTerm
166 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
167 schema:name Public Health and Health Services
168 rdf:type schema:DefinedTerm
169 sg:journal.1313647 schema:issn 0171-5216
170 1432-1335
171 schema:name Journal of Cancer Research and Clinical Oncology
172 rdf:type schema:Periodical
173 sg:person.01010451263.92 schema:affiliation https://www.grid.ac/institutes/grid.415194.c
174 schema:familyName Urso
175 schema:givenName C.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010451263.92
177 rdf:type schema:Person
178 sg:person.01041627227.97 schema:affiliation https://www.grid.ac/institutes/grid.8404.8
179 schema:familyName Vezzosi
180 schema:givenName V.
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041627227.97
182 rdf:type schema:Person
183 sg:person.01112315000.16 schema:affiliation Nb3850a74f09242a7875b0ff15dcbbeb0
184 schema:familyName Caldarella
185 schema:givenName A.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112315000.16
187 rdf:type schema:Person
188 sg:person.01343734676.51 schema:affiliation N287236b517eb4a2cb01d409e9f8de692
189 schema:familyName Zolfanelli
190 schema:givenName F.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343734676.51
192 rdf:type schema:Person
193 sg:person.01372154307.39 schema:affiliation N6c24f6f3bd22402c898a34736ac5b496
194 schema:familyName Paci
195 schema:givenName E.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372154307.39
197 rdf:type schema:Person
198 sg:person.0617365700.38 schema:affiliation https://www.grid.ac/institutes/grid.415815.c
199 schema:familyName Apicella
200 schema:givenName P.
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617365700.38
202 rdf:type schema:Person
203 sg:person.0640755053.30 schema:affiliation Nad3f52cfbec54197bf27b59a8dbdd386
204 schema:familyName Puliti
205 schema:givenName D.
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640755053.30
207 rdf:type schema:Person
208 sg:person.0657155013.59 schema:affiliation N81666c0061d24de4b12ba83d3cdce9e7
209 schema:familyName Giannini
210 schema:givenName A.
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657155013.59
212 rdf:type schema:Person
213 sg:person.0665501100.28 schema:affiliation https://www.grid.ac/institutes/grid.416367.1
214 schema:familyName Biancalani
215 schema:givenName M.
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665501100.28
217 rdf:type schema:Person
218 sg:person.0700466552.06 schema:affiliation N83a14fd571434a95bd6dec8dad7ceade
219 schema:familyName Crocetti
220 schema:givenName E.
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700466552.06
222 rdf:type schema:Person
223 sg:person.07675154000.55 schema:affiliation https://www.grid.ac/institutes/grid.8404.8
224 schema:familyName Bianchi
225 schema:givenName S.
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07675154000.55
227 rdf:type schema:Person
228 sg:pub.10.1007/s00330-009-1656-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021200285
229 https://doi.org/10.1007/s00330-009-1656-3
230 rdf:type schema:CreativeWork
231 sg:pub.10.1007/s10549-007-9810-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023841624
232 https://doi.org/10.1007/s10549-007-9810-6
233 rdf:type schema:CreativeWork
234 sg:pub.10.1007/s10549-011-1448-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052743160
235 https://doi.org/10.1007/s10549-011-1448-8
236 rdf:type schema:CreativeWork
237 sg:pub.10.1007/s10549-011-1748-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1024948997
238 https://doi.org/10.1007/s10549-011-1748-z
239 rdf:type schema:CreativeWork
240 sg:pub.10.1007/s10552-010-9541-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007522773
241 https://doi.org/10.1007/s10552-010-9541-6
242 rdf:type schema:CreativeWork
243 sg:pub.10.1007/s12253-008-9010-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019627878
244 https://doi.org/10.1007/s12253-008-9010-7
245 rdf:type schema:CreativeWork
246 sg:pub.10.1007/s12253-011-9381-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1033604016
247 https://doi.org/10.1007/s12253-011-9381-z
248 rdf:type schema:CreativeWork
249 sg:pub.10.1007/s12282-010-0223-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053445771
250 https://doi.org/10.1007/s12282-010-0223-8
251 rdf:type schema:CreativeWork
252 sg:pub.10.1038/sj.bjc.6605317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015637210
253 https://doi.org/10.1038/sj.bjc.6605317
254 rdf:type schema:CreativeWork
255 sg:pub.10.1186/bcr3080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040107485
256 https://doi.org/10.1186/bcr3080
257 rdf:type schema:CreativeWork
258 https://app.dimensions.ai/details/publication/pub.1076610395 schema:CreativeWork
259 https://doi.org/10.1002/ijc.27515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034357025
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1016/j.canep.2010.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018614853
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1093/annonc/mdr304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009166329
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1093/jnci/djq540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035344209
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1093/jnci/djr046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016356866
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1093/jnci/djr138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013564659
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1093/jnci/djr225 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038441553
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1093/jnci/djr263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027670692
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1111/j.1349-7006.2011.02088.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033230357
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1111/j.1365-2559.1991.tb00229.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010222506
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1111/j.1524-4741.2010.00907.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006860609
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1158/1055-9965.epi-04-0394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029472148
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1158/1055-9965.epi-08-0805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007784115
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1158/1078-0432.ccr-07-5003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024659728
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1200/jco.2011.37.6434 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042675181
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1586/14737159.7.5.533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049767475
290 rdf:type schema:CreativeWork
291 https://www.grid.ac/institutes/grid.415194.c schema:alternateName Ospedale Santa Maria Annunziata
292 schema:name Anatomic Pathology, S. M. Annunziata Hospital, Firenze, Italy
293 rdf:type schema:Organization
294 https://www.grid.ac/institutes/grid.415815.c schema:alternateName Ospedale del Ceppo
295 schema:name Anatomic Pathology, Pistoia Hospital, Pistoia, Italy
296 rdf:type schema:Organization
297 https://www.grid.ac/institutes/grid.416367.1 schema:alternateName Ospedale San Giuseppe
298 schema:name Pathological Anatomy, San Giuseppe Hospital, Empoli, Italy
299 rdf:type schema:Organization
300 https://www.grid.ac/institutes/grid.8404.8 schema:alternateName University of Florence
301 schema:name Section of Pathological Anatomy, Department of Medical and Surgical Critical Care, University of Florence, Florence, Italy
302 rdf:type schema:Organization
 




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


...