The influence of mammographic density on breast tumor characteristics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-07

AUTHORS

Louise Eriksson, Kamila Czene, Lena Rosenberg, Keith Humphreys, Per Hall

ABSTRACT

Mammographic density (MD) is a well-established risk factor for breast cancer. Whether MD influences the tumor phenotype remains to be clarified. Previous studies are highly inconsistent and most lack important covariate information. This is a case-only study within a population-based case-control study. Cases were all postmenopausal women, aged 50-74 years, with incident breast cancer, diagnosed 1993-1995, and with no history of previous cancer (n = 2,720). 1,747 women with mammograms and information on tumor characteristics were included in analyses. MD was assessed using a computer-assisted thresholding technique. We used linear, logistic, and multinomial logistic regression, adjusting for possible confounders, to study density and tumor characteristics. PD was only statistically significantly associated with tumor size in our study (regression coefficient 0.031, p = 0.017). The effect of PD on tumor size was greater when mode of detection was excluded from the model (regression coefficient 0.043, p = 0.001). No other associations between PD and the tumor characteristics studied (lymph node metastasis, ER-status, PR-status, grade, and histopathological classification) were observed. In summary, PD was positively associated with tumor size in postmenopausal women. However, the relationship was at least partially confounded by mode of detection. Although there may be a true biological relationship between MD and more highly proliferative tumors, it also seems that part of this relationship is due to masking delaying diagnosis. In conclusion, PD does not seem to be differentially associated with tumor phenotype, except for tumor size, after taking mode of detection into consideration. More... »

PAGES

859-866

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10549-012-2127-0

DOI

http://dx.doi.org/10.1007/s10549-012-2127-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028596581

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22710708


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": "Carcinoma, Ductal, Breast", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "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": "Linear Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Logistic Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mammography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Postmenopause", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Specific Gravity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tumor Burden", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Karolinska Institute", 
          "id": "https://www.grid.ac/institutes/grid.4714.6", 
          "name": [
            "Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels V\u00e4g 12 A, 171 77, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eriksson", 
        "givenName": "Louise", 
        "id": "sg:person.01005771141.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005771141.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Karolinska Institute", 
          "id": "https://www.grid.ac/institutes/grid.4714.6", 
          "name": [
            "Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels V\u00e4g 12 A, 171 77, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Czene", 
        "givenName": "Kamila", 
        "id": "sg:person.013117404317.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013117404317.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Danderyds sjukhus", 
          "id": "https://www.grid.ac/institutes/grid.412154.7", 
          "name": [
            "Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels V\u00e4g 12 A, 171 77, Stockholm, Sweden", 
            "Department of Radiology, Danderyds Hospital, 182 88, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosenberg", 
        "givenName": "Lena", 
        "id": "sg:person.01233766467.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233766467.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Karolinska Institute", 
          "id": "https://www.grid.ac/institutes/grid.4714.6", 
          "name": [
            "Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels V\u00e4g 12 A, 171 77, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Humphreys", 
        "givenName": "Keith", 
        "id": "sg:person.0624052041.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624052041.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Karolinska Institute", 
          "id": "https://www.grid.ac/institutes/grid.4714.6", 
          "name": [
            "Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels V\u00e4g 12 A, 171 77, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hall", 
        "givenName": "Per", 
        "id": "sg:person.01010701573.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010701573.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/sj.bjc.6604989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002726700", 
          "https://doi.org/10.1038/sj.bjc.6604989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6604989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002726700", 
          "https://doi.org/10.1038/sj.bjc.6604989"
        ], 
        "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": "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/10.1002/(sici)1097-0215(19960516)66:4<413::aid-ijc1>3.0.co;2-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007560458"
        ], 
        "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": "sg:pub.10.1186/bcr2942", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008028099", 
          "https://doi.org/10.1186/bcr2942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008935821885", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009511729", 
          "https://doi.org/10.1023/a:1008935821885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1996.03540010035027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009695414"
        ], 
        "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/92.13.1081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013822681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(99)07319-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014096514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-07-0559", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014420310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-05-0558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014985043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr2145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015583909", 
          "https://doi.org/10.1186/bcr2145"
        ], 
        "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": "https://doi.org/10.1002/ijc.22892", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020016583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr1829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020053537", 
          "https://doi.org/10.1186/bcr1829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr1829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020053537", 
          "https://doi.org/10.1186/bcr1829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa062790", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022154822"
        ], 
        "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": "sg:pub.10.1007/s003300050025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023855554", 
          "https://doi.org/10.1007/s003300050025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr1378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025392095", 
          "https://doi.org/10.1186/bcr1378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.annepidem.2012.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026972954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-09-1028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029910410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(02)00483-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033366220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(02)00483-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033366220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-04-0327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034122555"
        ], 
        "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/djr225", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038441553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.285.2.171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038618188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0215(19980330)76:1<29::aid-ijc6>3.0.co;2-#", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042149330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.295.21.2492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043089674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11357-011-9299-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045710282", 
          "https://doi.org/10.1007/s11357-011-9299-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-06-0034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049006559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0215(19990505)81:3<339::aid-ijc5>3.0.co;2-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052381053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00665964", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052425036", 
          "https://doi.org/10.1007/bf00665964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00665964", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052425036", 
          "https://doi.org/10.1007/bf00665964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/39/10/008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059022537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/87.9.670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059819855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tac.1974.1100705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061471419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1258/136218006779160436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064536163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1258/136218006779160436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064536163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074677026", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074799874", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2301020589", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076617370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076979945", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-07", 
    "datePublishedReg": "2012-07-01", 
    "description": "Mammographic density (MD) is a well-established risk factor for breast cancer. Whether MD influences the tumor phenotype remains to be clarified. Previous studies are highly inconsistent and most lack important covariate information. This is a case-only study within a population-based case-control study. Cases were all postmenopausal women, aged 50-74 years, with incident breast cancer, diagnosed 1993-1995, and with no history of previous cancer (n = 2,720). 1,747 women with mammograms and information on tumor characteristics were included in analyses. MD was assessed using a computer-assisted thresholding technique. We used linear, logistic, and multinomial logistic regression, adjusting for possible confounders, to study density and tumor characteristics. PD was only statistically significantly associated with tumor size in our study (regression coefficient 0.031, p = 0.017). The effect of PD on tumor size was greater when mode of detection was excluded from the model (regression coefficient 0.043, p = 0.001). No other associations between PD and the tumor characteristics studied (lymph node metastasis, ER-status, PR-status, grade, and histopathological classification) were observed. In summary, PD was positively associated with tumor size in postmenopausal women. However, the relationship was at least partially confounded by mode of detection. Although there may be a true biological relationship between MD and more highly proliferative tumors, it also seems that part of this relationship is due to masking delaying diagnosis. In conclusion, PD does not seem to be differentially associated with tumor phenotype, except for tumor size, after taking mode of detection into consideration.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10549-012-2127-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1092777", 
        "issn": [
          "0167-6806", 
          "1573-7217"
        ], 
        "name": "Breast Cancer Research and Treatment", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "134"
      }
    ], 
    "name": "The influence of mammographic density on breast tumor characteristics", 
    "pagination": "859-866", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8839c85e48a74a726796d602c803f543c5095ada950fcf4d02ca4063ce0ca162"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22710708"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8111104"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10549-012-2127-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1028596581"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10549-012-2127-0", 
      "https://app.dimensions.ai/details/publication/pub.1028596581"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:57", 
    "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_00000513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10549-012-2127-0"
  }
]
 

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/s10549-012-2127-0'

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/s10549-012-2127-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-012-2127-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-012-2127-0'


 

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

299 TRIPLES      21 PREDICATES      87 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10549-012-2127-0 schema:about N06c83d4e2760403097db0680a15ce7bb
2 N22881515ef694aec8a554294b86b7d56
3 N29912f1a0a934323a0827410e720f821
4 N2e55e18774854a2c822dea045c6df253
5 N48054426607f409396c788b6f068c5c1
6 N4d067c0f56f44d6899a4715d78dce470
7 N508d76bcf90341fcb7cd397dfb238119
8 N7d29982e50234b108599399681a42084
9 Nb3b168a5c0d04460996e036154395e22
10 Nd5d1b6fae05d4ec0acddc23ce4add0ff
11 Nddfd70a0e8f045659675cc11afc27b22
12 Ndfc7cde51b3e41c3a28b7d5a3ce5f760
13 Ne4833f67b52f4344b2a94149ad374824
14 Ne4b84d0875304569b5fc23803a16b286
15 Nf20a21ed8a0a4a51a31ed20023fff891
16 Nf36de9dbe4f04830b7c03762de5199dc
17 Nfba028919cb44a75b3816ec0e675601d
18 anzsrc-for:11
19 anzsrc-for:1112
20 schema:author N9752edb1791c491f8cc36c1f1129f4db
21 schema:citation sg:pub.10.1007/bf00665964
22 sg:pub.10.1007/s003300050025
23 sg:pub.10.1007/s10549-007-9810-6
24 sg:pub.10.1007/s11357-011-9299-0
25 sg:pub.10.1023/a:1008935821885
26 sg:pub.10.1038/sj.bjc.6604989
27 sg:pub.10.1186/bcr1378
28 sg:pub.10.1186/bcr1829
29 sg:pub.10.1186/bcr2145
30 sg:pub.10.1186/bcr2942
31 https://app.dimensions.ai/details/publication/pub.1074677026
32 https://app.dimensions.ai/details/publication/pub.1074799874
33 https://app.dimensions.ai/details/publication/pub.1076979945
34 https://doi.org/10.1001/jama.1996.03540010035027
35 https://doi.org/10.1001/jama.285.2.171
36 https://doi.org/10.1001/jama.295.21.2492
37 https://doi.org/10.1002/(sici)1097-0215(19960516)66:4<413::aid-ijc1>3.0.co;2-z
38 https://doi.org/10.1002/(sici)1097-0215(19980330)76:1<29::aid-ijc6>3.0.co;2-#
39 https://doi.org/10.1002/(sici)1097-0215(19990505)81:3<339::aid-ijc5>3.0.co;2-6
40 https://doi.org/10.1002/ijc.22892
41 https://doi.org/10.1002/ijc.27515
42 https://doi.org/10.1016/j.annepidem.2012.02.002
43 https://doi.org/10.1016/j.canep.2010.11.011
44 https://doi.org/10.1016/s0140-6736(99)07319-5
45 https://doi.org/10.1016/s0895-4356(02)00483-3
46 https://doi.org/10.1056/nejmoa062790
47 https://doi.org/10.1088/0031-9155/39/10/008
48 https://doi.org/10.1093/jnci/87.9.670
49 https://doi.org/10.1093/jnci/92.13.1081
50 https://doi.org/10.1093/jnci/djr225
51 https://doi.org/10.1109/tac.1974.1100705
52 https://doi.org/10.1111/j.1365-2559.1991.tb00229.x
53 https://doi.org/10.1111/j.1524-4741.2010.00907.x
54 https://doi.org/10.1148/radiol.2301020589
55 https://doi.org/10.1158/1055-9965.epi-04-0327
56 https://doi.org/10.1158/1055-9965.epi-05-0558
57 https://doi.org/10.1158/1055-9965.epi-06-0034
58 https://doi.org/10.1158/1055-9965.epi-07-0559
59 https://doi.org/10.1158/1055-9965.epi-08-0805
60 https://doi.org/10.1158/1055-9965.epi-09-1028
61 https://doi.org/10.1258/136218006779160436
62 schema:datePublished 2012-07
63 schema:datePublishedReg 2012-07-01
64 schema:description Mammographic density (MD) is a well-established risk factor for breast cancer. Whether MD influences the tumor phenotype remains to be clarified. Previous studies are highly inconsistent and most lack important covariate information. This is a case-only study within a population-based case-control study. Cases were all postmenopausal women, aged 50-74 years, with incident breast cancer, diagnosed 1993-1995, and with no history of previous cancer (n = 2,720). 1,747 women with mammograms and information on tumor characteristics were included in analyses. MD was assessed using a computer-assisted thresholding technique. We used linear, logistic, and multinomial logistic regression, adjusting for possible confounders, to study density and tumor characteristics. PD was only statistically significantly associated with tumor size in our study (regression coefficient 0.031, p = 0.017). The effect of PD on tumor size was greater when mode of detection was excluded from the model (regression coefficient 0.043, p = 0.001). No other associations between PD and the tumor characteristics studied (lymph node metastasis, ER-status, PR-status, grade, and histopathological classification) were observed. In summary, PD was positively associated with tumor size in postmenopausal women. However, the relationship was at least partially confounded by mode of detection. Although there may be a true biological relationship between MD and more highly proliferative tumors, it also seems that part of this relationship is due to masking delaying diagnosis. In conclusion, PD does not seem to be differentially associated with tumor phenotype, except for tumor size, after taking mode of detection into consideration.
65 schema:genre research_article
66 schema:inLanguage en
67 schema:isAccessibleForFree false
68 schema:isPartOf N1e1983f550e74047a8269ce43ec4489e
69 Ne4d7e77a169546c0b3b0da5c0d57459a
70 sg:journal.1092777
71 schema:name The influence of mammographic density on breast tumor characteristics
72 schema:pagination 859-866
73 schema:productId N444aac65f76242ac82dc444c9ff050da
74 Ncbd20492e179418dbe672fc81baf04b6
75 Nd069fb4cba374fc998115c465f23b4e2
76 Nd6a4aacce79744f082ff160d875d42b8
77 Ne5521ba7d6cf4c9c8da9fef2ed4b7bc5
78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028596581
79 https://doi.org/10.1007/s10549-012-2127-0
80 schema:sdDatePublished 2019-04-10T19:57
81 schema:sdLicense https://scigraph.springernature.com/explorer/license/
82 schema:sdPublisher N4629cfd7585c46bb806d919ec68762b9
83 schema:url http://link.springer.com/10.1007%2Fs10549-012-2127-0
84 sgo:license sg:explorer/license/
85 sgo:sdDataset articles
86 rdf:type schema:ScholarlyArticle
87 N06c83d4e2760403097db0680a15ce7bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Specific Gravity
89 rdf:type schema:DefinedTerm
90 N1e1983f550e74047a8269ce43ec4489e schema:issueNumber 2
91 rdf:type schema:PublicationIssue
92 N22881515ef694aec8a554294b86b7d56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Risk Factors
94 rdf:type schema:DefinedTerm
95 N29912f1a0a934323a0827410e720f821 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Middle Aged
97 rdf:type schema:DefinedTerm
98 N2e55e18774854a2c822dea045c6df253 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Breast Neoplasms
100 rdf:type schema:DefinedTerm
101 N444aac65f76242ac82dc444c9ff050da schema:name readcube_id
102 schema:value 8839c85e48a74a726796d602c803f543c5095ada950fcf4d02ca4063ce0ca162
103 rdf:type schema:PropertyValue
104 N4629cfd7585c46bb806d919ec68762b9 schema:name Springer Nature - SN SciGraph project
105 rdf:type schema:Organization
106 N48054426607f409396c788b6f068c5c1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Female
108 rdf:type schema:DefinedTerm
109 N4d067c0f56f44d6899a4715d78dce470 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Carcinoma, Ductal, Breast
111 rdf:type schema:DefinedTerm
112 N508d76bcf90341fcb7cd397dfb238119 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Surveys and Questionnaires
114 rdf:type schema:DefinedTerm
115 N7d29982e50234b108599399681a42084 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Tumor Burden
117 rdf:type schema:DefinedTerm
118 N8a67ad9e2b1b4e23b9eb3339edebea20 rdf:first sg:person.0624052041.17
119 rdf:rest Na23e4c9db98248f9aa421d672bd7782f
120 N9752edb1791c491f8cc36c1f1129f4db rdf:first sg:person.01005771141.53
121 rdf:rest Ne1da5eb3485441938adcf5175bf12fd6
122 Na23e4c9db98248f9aa421d672bd7782f rdf:first sg:person.01010701573.25
123 rdf:rest rdf:nil
124 Nb3b168a5c0d04460996e036154395e22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Linear Models
126 rdf:type schema:DefinedTerm
127 Ncbd20492e179418dbe672fc81baf04b6 schema:name nlm_unique_id
128 schema:value 8111104
129 rdf:type schema:PropertyValue
130 Nd069fb4cba374fc998115c465f23b4e2 schema:name dimensions_id
131 schema:value pub.1028596581
132 rdf:type schema:PropertyValue
133 Nd5d1b6fae05d4ec0acddc23ce4add0ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Mammography
135 rdf:type schema:DefinedTerm
136 Nd6a4aacce79744f082ff160d875d42b8 schema:name doi
137 schema:value 10.1007/s10549-012-2127-0
138 rdf:type schema:PropertyValue
139 Nddfd70a0e8f045659675cc11afc27b22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Phenotype
141 rdf:type schema:DefinedTerm
142 Ndfc7cde51b3e41c3a28b7d5a3ce5f760 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Case-Control Studies
144 rdf:type schema:DefinedTerm
145 Ne1da5eb3485441938adcf5175bf12fd6 rdf:first sg:person.013117404317.63
146 rdf:rest Nff59fdf69742478689a56cfb2b8cfeea
147 Ne4833f67b52f4344b2a94149ad374824 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Body Mass Index
149 rdf:type schema:DefinedTerm
150 Ne4b84d0875304569b5fc23803a16b286 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Aged
152 rdf:type schema:DefinedTerm
153 Ne4d7e77a169546c0b3b0da5c0d57459a schema:volumeNumber 134
154 rdf:type schema:PublicationVolume
155 Ne5521ba7d6cf4c9c8da9fef2ed4b7bc5 schema:name pubmed_id
156 schema:value 22710708
157 rdf:type schema:PropertyValue
158 Nf20a21ed8a0a4a51a31ed20023fff891 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Logistic Models
160 rdf:type schema:DefinedTerm
161 Nf36de9dbe4f04830b7c03762de5199dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Postmenopause
163 rdf:type schema:DefinedTerm
164 Nfba028919cb44a75b3816ec0e675601d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Humans
166 rdf:type schema:DefinedTerm
167 Nff59fdf69742478689a56cfb2b8cfeea rdf:first sg:person.01233766467.00
168 rdf:rest N8a67ad9e2b1b4e23b9eb3339edebea20
169 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
170 schema:name Medical and Health Sciences
171 rdf:type schema:DefinedTerm
172 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
173 schema:name Oncology and Carcinogenesis
174 rdf:type schema:DefinedTerm
175 sg:journal.1092777 schema:issn 0167-6806
176 1573-7217
177 schema:name Breast Cancer Research and Treatment
178 rdf:type schema:Periodical
179 sg:person.01005771141.53 schema:affiliation https://www.grid.ac/institutes/grid.4714.6
180 schema:familyName Eriksson
181 schema:givenName Louise
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005771141.53
183 rdf:type schema:Person
184 sg:person.01010701573.25 schema:affiliation https://www.grid.ac/institutes/grid.4714.6
185 schema:familyName Hall
186 schema:givenName Per
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010701573.25
188 rdf:type schema:Person
189 sg:person.01233766467.00 schema:affiliation https://www.grid.ac/institutes/grid.412154.7
190 schema:familyName Rosenberg
191 schema:givenName Lena
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233766467.00
193 rdf:type schema:Person
194 sg:person.013117404317.63 schema:affiliation https://www.grid.ac/institutes/grid.4714.6
195 schema:familyName Czene
196 schema:givenName Kamila
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013117404317.63
198 rdf:type schema:Person
199 sg:person.0624052041.17 schema:affiliation https://www.grid.ac/institutes/grid.4714.6
200 schema:familyName Humphreys
201 schema:givenName Keith
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624052041.17
203 rdf:type schema:Person
204 sg:pub.10.1007/bf00665964 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052425036
205 https://doi.org/10.1007/bf00665964
206 rdf:type schema:CreativeWork
207 sg:pub.10.1007/s003300050025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023855554
208 https://doi.org/10.1007/s003300050025
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s10549-007-9810-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023841624
211 https://doi.org/10.1007/s10549-007-9810-6
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s11357-011-9299-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045710282
214 https://doi.org/10.1007/s11357-011-9299-0
215 rdf:type schema:CreativeWork
216 sg:pub.10.1023/a:1008935821885 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009511729
217 https://doi.org/10.1023/a:1008935821885
218 rdf:type schema:CreativeWork
219 sg:pub.10.1038/sj.bjc.6604989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002726700
220 https://doi.org/10.1038/sj.bjc.6604989
221 rdf:type schema:CreativeWork
222 sg:pub.10.1186/bcr1378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025392095
223 https://doi.org/10.1186/bcr1378
224 rdf:type schema:CreativeWork
225 sg:pub.10.1186/bcr1829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020053537
226 https://doi.org/10.1186/bcr1829
227 rdf:type schema:CreativeWork
228 sg:pub.10.1186/bcr2145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015583909
229 https://doi.org/10.1186/bcr2145
230 rdf:type schema:CreativeWork
231 sg:pub.10.1186/bcr2942 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008028099
232 https://doi.org/10.1186/bcr2942
233 rdf:type schema:CreativeWork
234 https://app.dimensions.ai/details/publication/pub.1074677026 schema:CreativeWork
235 https://app.dimensions.ai/details/publication/pub.1074799874 schema:CreativeWork
236 https://app.dimensions.ai/details/publication/pub.1076979945 schema:CreativeWork
237 https://doi.org/10.1001/jama.1996.03540010035027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009695414
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1001/jama.285.2.171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038618188
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1001/jama.295.21.2492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043089674
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1002/(sici)1097-0215(19960516)66:4<413::aid-ijc1>3.0.co;2-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1007560458
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1002/(sici)1097-0215(19980330)76:1<29::aid-ijc6>3.0.co;2-# schema:sameAs https://app.dimensions.ai/details/publication/pub.1042149330
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1002/(sici)1097-0215(19990505)81:3<339::aid-ijc5>3.0.co;2-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052381053
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1002/ijc.22892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020016583
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1002/ijc.27515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034357025
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/j.annepidem.2012.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026972954
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.canep.2010.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018614853
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/s0140-6736(99)07319-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014096514
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/s0895-4356(02)00483-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033366220
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1056/nejmoa062790 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022154822
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1088/0031-9155/39/10/008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059022537
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1093/jnci/87.9.670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059819855
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1093/jnci/92.13.1081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013822681
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1093/jnci/djr225 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038441553
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1109/tac.1974.1100705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061471419
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1111/j.1365-2559.1991.tb00229.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010222506
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1111/j.1524-4741.2010.00907.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006860609
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1148/radiol.2301020589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076617370
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1158/1055-9965.epi-04-0327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034122555
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1158/1055-9965.epi-05-0558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014985043
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1158/1055-9965.epi-06-0034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049006559
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1158/1055-9965.epi-07-0559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014420310
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1158/1055-9965.epi-08-0805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007784115
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1158/1055-9965.epi-09-1028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029910410
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1258/136218006779160436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064536163
292 rdf:type schema:CreativeWork
293 https://www.grid.ac/institutes/grid.412154.7 schema:alternateName Danderyds sjukhus
294 schema:name Department of Radiology, Danderyds Hospital, 182 88, Stockholm, Sweden
295 Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12 A, 171 77, Stockholm, Sweden
296 rdf:type schema:Organization
297 https://www.grid.ac/institutes/grid.4714.6 schema:alternateName Karolinska Institute
298 schema:name Institution of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12 A, 171 77, Stockholm, Sweden
299 rdf:type schema:Organization
 




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


...