The penetrance of ductal carcinoma in situ among BRCA1 and BRCA2 mutation carriers View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-01

AUTHORS

Emanuele Mazzola, Su-Chun Cheng, Giovanni Parmigiani

ABSTRACT

Ductal carcinoma in situ (DCIS) is a precancerous lesion of the female breast and is strongly suspected to be a precursor of invasive breast cancer (IBC). Our goal is the estimation of the age-specific and lifetime penetrances of DCIS among carriers of either a BRCA1 or BRCA2 deleterious mutation. We jointly re-analyze the SEER9 database and a previous study by Claus et al. (JAMA 293:964-969, 2005). Estimation is performed via Bayes theorem after the evaluation of the ratio of age-specific DCIS incidences, and extrapolation to the general population of the study-specific penetrance obtained from Claus et al. From the SEER9 database, we estimate the lifetime risk of DCIS to be 0.98 %, in contrast to value of 12.5 % usually reported for IBC. By extending the result in Claus et al. to the general population, we obtain a lifetime risk for carriers of a deleterious mutation of either BRCA1 or BRCA2 of 6.21 % (95 % CI 6.09-6.33 %). The increase in lifetime risk of DCIS for a BRCA mutation carrier compared to a non-carrier is therefore about six-fold. Our quantification is directly relevant to the identification and genetic counseling of BRCA mutation carriers, and emphasizes the potential importance of including information on diagnoses of DCIS in counseling of individuals who are at familial risk for breast cancer. All these factors can contribute to a more specific and targeted prevention, potentially reducing the impact of IBC among BRCA mutation carriers. More... »

PAGES

315-318

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10549-012-2345-5

DOI

http://dx.doi.org/10.1007/s10549-012-2345-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018526123

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23184082


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": "Bayes Theorem", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Intraductal, Noninfiltrating", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genes, BRCA1", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genes, BRCA2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Association Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heterozygote", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mutation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Penetrance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "SEER Program", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Dana\u2013Farber Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.65499.37", 
          "name": [
            "Department of Biostatistics & Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, 02215-5450, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mazzola", 
        "givenName": "Emanuele", 
        "id": "sg:person.0712574026.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712574026.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dana\u2013Farber Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.65499.37", 
          "name": [
            "Department of Biostatistics & Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, 02215-5450, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheng", 
        "givenName": "Su-Chun", 
        "id": "sg:person.015261300707.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015261300707.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dana\u2013Farber Cancer Institute", 
          "id": "https://www.grid.ac/institutes/grid.65499.37", 
          "name": [
            "Department of Biostatistics & Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, 02215-5450, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parmigiani", 
        "givenName": "Giovanni", 
        "id": "sg:person.01213127733.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213127733.91"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1086/301670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007199629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.1668", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015215277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(94)91578-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018354344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(94)91578-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018354344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2007.55-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024569671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2006.09.1066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026376945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(98)03300-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030259297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199705153362001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046831227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.293.8.964", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047336056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6602175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052504018", 
          "https://doi.org/10.1038/sj.bjc.6602175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6602175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052504018", 
          "https://doi.org/10.1038/sj.bjc.6602175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2202/1544-6115.1063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053035976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/301749", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058609356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1088759", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062448491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.20.6.1480", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064202871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082524979", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-01", 
    "datePublishedReg": "2013-01-01", 
    "description": "Ductal carcinoma in situ (DCIS) is a precancerous lesion of the female breast and is strongly suspected to be a precursor of invasive breast cancer (IBC). Our goal is the estimation of the age-specific and lifetime penetrances of DCIS among carriers of either a BRCA1 or BRCA2 deleterious mutation. We jointly re-analyze the SEER9 database and a previous study by Claus et al. (JAMA 293:964-969, 2005). Estimation is performed via Bayes theorem after the evaluation of the ratio of age-specific DCIS incidences, and extrapolation to the general population of the study-specific penetrance obtained from Claus et al. From the SEER9 database, we estimate the lifetime risk of DCIS to be 0.98 %, in contrast to value of 12.5 % usually reported for IBC. By extending the result in Claus et al. to the general population, we obtain a lifetime risk for carriers of a deleterious mutation of either BRCA1 or BRCA2 of 6.21 % (95 % CI 6.09-6.33 %). The increase in lifetime risk of DCIS for a BRCA mutation carrier compared to a non-carrier is therefore about six-fold. Our quantification is directly relevant to the identification and genetic counseling of BRCA mutation carriers, and emphasizes the potential importance of including information on diagnoses of DCIS in counseling of individuals who are at familial risk for breast cancer. All these factors can contribute to a more specific and targeted prevention, potentially reducing the impact of IBC among BRCA mutation carriers.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10549-012-2345-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2438789", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1092777", 
        "issn": [
          "0167-6806", 
          "1573-7217"
        ], 
        "name": "Breast Cancer Research and Treatment", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "137"
      }
    ], 
    "name": "The penetrance of ductal carcinoma in situ among BRCA1 and BRCA2 mutation carriers", 
    "pagination": "315-318", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5844f7352d69e99bf9b7e06fd32351922c49dcd6b0fc62afb5fab60da3979158"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23184082"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8111104"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10549-012-2345-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1018526123"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10549-012-2345-5", 
      "https://app.dimensions.ai/details/publication/pub.1018526123"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:01", 
    "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_8678_00000481.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10549-012-2345-5"
  }
]
 

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/s10549-012-2345-5'

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/s10549-012-2345-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-012-2345-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-012-2345-5'


 

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

207 TRIPLES      21 PREDICATES      63 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10549-012-2345-5 schema:about N0051e2af1005477aa22d61d3f85dca24
2 N09d79fc227ab401db215c80d10d6e612
3 N1a8031b91ab14604942717bfa0563b1e
4 N1f2418b105344106af7be29e8db0fc5c
5 N1fa46722adb047579dd1f08151ca456f
6 N27300231b1fe45a19576403470817f06
7 N2d4ca018e21c485d814ce74b0eb3933f
8 N2ea15b46dc2744629f1f5b17a3eef373
9 N360a3398fac2479182fe69fcf9826ea6
10 N47f051f228c248a39189d039ca1f583d
11 N52fe924b70a143a28378bd755cfbb203
12 N5bb9fe847bf5464b8c19e162a90498d9
13 N8367d59b21404cd8b2dd916715c76061
14 Na79d04d6bda84db8b926c23905ed6f3a
15 Nacf2ad0dfce94290a10c67077bce0ff0
16 Nbeb8e173054242678520f7541f747fbb
17 Nd367411c76c64ea48fadd3d47db8c004
18 Ne6215191989e4bb082c0b86e964c5e76
19 Nf10a3111de934bc09b6ab67534878ecc
20 Nf51438e4565c4f1da25fb6845fcae5cb
21 anzsrc-for:11
22 anzsrc-for:1112
23 schema:author N6ce6a64f06e84dd5a6db1b2d32efd5d5
24 schema:citation sg:pub.10.1038/sj.bjc.6602175
25 https://app.dimensions.ai/details/publication/pub.1082524979
26 https://doi.org/10.1001/jama.2007.55-a
27 https://doi.org/10.1001/jama.293.8.964
28 https://doi.org/10.1002/sim.1668
29 https://doi.org/10.1016/s0140-6736(94)91578-4
30 https://doi.org/10.1016/s0140-6736(98)03300-5
31 https://doi.org/10.1056/nejm199705153362001
32 https://doi.org/10.1086/301670
33 https://doi.org/10.1086/301749
34 https://doi.org/10.1126/science.1088759
35 https://doi.org/10.1200/jco.20.6.1480
36 https://doi.org/10.1200/jco.2006.09.1066
37 https://doi.org/10.2202/1544-6115.1063
38 schema:datePublished 2013-01
39 schema:datePublishedReg 2013-01-01
40 schema:description Ductal carcinoma in situ (DCIS) is a precancerous lesion of the female breast and is strongly suspected to be a precursor of invasive breast cancer (IBC). Our goal is the estimation of the age-specific and lifetime penetrances of DCIS among carriers of either a BRCA1 or BRCA2 deleterious mutation. We jointly re-analyze the SEER9 database and a previous study by Claus et al. (JAMA 293:964-969, 2005). Estimation is performed via Bayes theorem after the evaluation of the ratio of age-specific DCIS incidences, and extrapolation to the general population of the study-specific penetrance obtained from Claus et al. From the SEER9 database, we estimate the lifetime risk of DCIS to be 0.98 %, in contrast to value of 12.5 % usually reported for IBC. By extending the result in Claus et al. to the general population, we obtain a lifetime risk for carriers of a deleterious mutation of either BRCA1 or BRCA2 of 6.21 % (95 % CI 6.09-6.33 %). The increase in lifetime risk of DCIS for a BRCA mutation carrier compared to a non-carrier is therefore about six-fold. Our quantification is directly relevant to the identification and genetic counseling of BRCA mutation carriers, and emphasizes the potential importance of including information on diagnoses of DCIS in counseling of individuals who are at familial risk for breast cancer. All these factors can contribute to a more specific and targeted prevention, potentially reducing the impact of IBC among BRCA mutation carriers.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree true
44 schema:isPartOf N558f525c2ae642249554b171a7424ebe
45 Nc2bc9e0065fa4253afae5b95a9de3f20
46 sg:journal.1092777
47 schema:name The penetrance of ductal carcinoma in situ among BRCA1 and BRCA2 mutation carriers
48 schema:pagination 315-318
49 schema:productId N3f125c3d4b4445bfb8cf720858468551
50 Nae48ff37e794458aa8253d8fc04ff32d
51 Ndb5d49d6427a47a4b9c96012fb5d0399
52 Nefe47b8b20b24e37ac9f0ff4d93775cf
53 Nf85c8a778ac44a42bffa737fa5330b8b
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018526123
55 https://doi.org/10.1007/s10549-012-2345-5
56 schema:sdDatePublished 2019-04-10T19:01
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher Nd609c24c0bd94b48bdc9400bfcb47476
59 schema:url http://link.springer.com/10.1007/s10549-012-2345-5
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N0051e2af1005477aa22d61d3f85dca24 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Adult
65 rdf:type schema:DefinedTerm
66 N09d79fc227ab401db215c80d10d6e612 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Middle Aged
68 rdf:type schema:DefinedTerm
69 N1a8031b91ab14604942717bfa0563b1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Heterozygote
71 rdf:type schema:DefinedTerm
72 N1f2418b105344106af7be29e8db0fc5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Genes, BRCA1
74 rdf:type schema:DefinedTerm
75 N1fa46722adb047579dd1f08151ca456f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Young Adult
77 rdf:type schema:DefinedTerm
78 N27300231b1fe45a19576403470817f06 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Models, Genetic
80 rdf:type schema:DefinedTerm
81 N2d4ca018e21c485d814ce74b0eb3933f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Genes, BRCA2
83 rdf:type schema:DefinedTerm
84 N2ea15b46dc2744629f1f5b17a3eef373 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Genetic Predisposition to Disease
86 rdf:type schema:DefinedTerm
87 N360a3398fac2479182fe69fcf9826ea6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Female
89 rdf:type schema:DefinedTerm
90 N3c8da8a0010547d1820efd8f36908482 rdf:first sg:person.01213127733.91
91 rdf:rest rdf:nil
92 N3f125c3d4b4445bfb8cf720858468551 schema:name readcube_id
93 schema:value 5844f7352d69e99bf9b7e06fd32351922c49dcd6b0fc62afb5fab60da3979158
94 rdf:type schema:PropertyValue
95 N47f051f228c248a39189d039ca1f583d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Breast Neoplasms
97 rdf:type schema:DefinedTerm
98 N52fe924b70a143a28378bd755cfbb203 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Genetic Association Studies
100 rdf:type schema:DefinedTerm
101 N558f525c2ae642249554b171a7424ebe schema:issueNumber 1
102 rdf:type schema:PublicationIssue
103 N5bb9fe847bf5464b8c19e162a90498d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Mutation
105 rdf:type schema:DefinedTerm
106 N5e8d0f92e9a2405f9ce63fa9d35b2eba rdf:first sg:person.015261300707.02
107 rdf:rest N3c8da8a0010547d1820efd8f36908482
108 N6ce6a64f06e84dd5a6db1b2d32efd5d5 rdf:first sg:person.0712574026.38
109 rdf:rest N5e8d0f92e9a2405f9ce63fa9d35b2eba
110 N8367d59b21404cd8b2dd916715c76061 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Bayes Theorem
112 rdf:type schema:DefinedTerm
113 Na79d04d6bda84db8b926c23905ed6f3a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Penetrance
115 rdf:type schema:DefinedTerm
116 Nacf2ad0dfce94290a10c67077bce0ff0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Carcinoma, Intraductal, Noninfiltrating
118 rdf:type schema:DefinedTerm
119 Nae48ff37e794458aa8253d8fc04ff32d schema:name dimensions_id
120 schema:value pub.1018526123
121 rdf:type schema:PropertyValue
122 Nbeb8e173054242678520f7541f747fbb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name SEER Program
124 rdf:type schema:DefinedTerm
125 Nc2bc9e0065fa4253afae5b95a9de3f20 schema:volumeNumber 137
126 rdf:type schema:PublicationVolume
127 Nd367411c76c64ea48fadd3d47db8c004 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Risk
129 rdf:type schema:DefinedTerm
130 Nd609c24c0bd94b48bdc9400bfcb47476 schema:name Springer Nature - SN SciGraph project
131 rdf:type schema:Organization
132 Ndb5d49d6427a47a4b9c96012fb5d0399 schema:name doi
133 schema:value 10.1007/s10549-012-2345-5
134 rdf:type schema:PropertyValue
135 Ne6215191989e4bb082c0b86e964c5e76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Aged
137 rdf:type schema:DefinedTerm
138 Nefe47b8b20b24e37ac9f0ff4d93775cf schema:name nlm_unique_id
139 schema:value 8111104
140 rdf:type schema:PropertyValue
141 Nf10a3111de934bc09b6ab67534878ecc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Retrospective Studies
143 rdf:type schema:DefinedTerm
144 Nf51438e4565c4f1da25fb6845fcae5cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Humans
146 rdf:type schema:DefinedTerm
147 Nf85c8a778ac44a42bffa737fa5330b8b schema:name pubmed_id
148 schema:value 23184082
149 rdf:type schema:PropertyValue
150 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
151 schema:name Medical and Health Sciences
152 rdf:type schema:DefinedTerm
153 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
154 schema:name Oncology and Carcinogenesis
155 rdf:type schema:DefinedTerm
156 sg:grant.2438789 http://pending.schema.org/fundedItem sg:pub.10.1007/s10549-012-2345-5
157 rdf:type schema:MonetaryGrant
158 sg:journal.1092777 schema:issn 0167-6806
159 1573-7217
160 schema:name Breast Cancer Research and Treatment
161 rdf:type schema:Periodical
162 sg:person.01213127733.91 schema:affiliation https://www.grid.ac/institutes/grid.65499.37
163 schema:familyName Parmigiani
164 schema:givenName Giovanni
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213127733.91
166 rdf:type schema:Person
167 sg:person.015261300707.02 schema:affiliation https://www.grid.ac/institutes/grid.65499.37
168 schema:familyName Cheng
169 schema:givenName Su-Chun
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015261300707.02
171 rdf:type schema:Person
172 sg:person.0712574026.38 schema:affiliation https://www.grid.ac/institutes/grid.65499.37
173 schema:familyName Mazzola
174 schema:givenName Emanuele
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712574026.38
176 rdf:type schema:Person
177 sg:pub.10.1038/sj.bjc.6602175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052504018
178 https://doi.org/10.1038/sj.bjc.6602175
179 rdf:type schema:CreativeWork
180 https://app.dimensions.ai/details/publication/pub.1082524979 schema:CreativeWork
181 https://doi.org/10.1001/jama.2007.55-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1024569671
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1001/jama.293.8.964 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047336056
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1002/sim.1668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015215277
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/s0140-6736(94)91578-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018354344
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/s0140-6736(98)03300-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030259297
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1056/nejm199705153362001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046831227
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1086/301670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007199629
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1086/301749 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058609356
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1126/science.1088759 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062448491
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1200/jco.20.6.1480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064202871
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1200/jco.2006.09.1066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026376945
202 rdf:type schema:CreativeWork
203 https://doi.org/10.2202/1544-6115.1063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053035976
204 rdf:type schema:CreativeWork
205 https://www.grid.ac/institutes/grid.65499.37 schema:alternateName Dana–Farber Cancer Institute
206 schema:name Department of Biostatistics & Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, 02215-5450, Boston, MA, USA
207 rdf:type schema:Organization
 




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


...