Loss of heterozygosity in BRCA1 and BRCA2 markers and high‐grade malignancy in breast cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1999-01

AUTHORS

Jose M. Silva, Rocio Gonzalez, Mariano Provencio, Gema Dominguez, Jose M. Garcia, Isabel Gallego, Jose Palacios, Pilar España, Felix Bonilla

ABSTRACT

Loss of heterozygosity (LOH) in loci of the 17q21 and 13q12-13 regions can collaborate in the inactivation of BRCA1, BRCA2, and possibly other genes implicated in the pathogenesis of breast carcinomas. We investigate allelic losses in microsatellites of the BRCA1 and BRCA2 regions, and their correlations with seven pathologic parameters in 140 breast carcinomas. Those cases showing LOH in the region of the RB gene, 13q14, were excluded from the study. The LOH analysis was performed by amplifying DNA by PCR, using four markers of the 17q21 region (D17S856, D17S855, D17S1323, and D17S1327) and four markers of the 13q12-13 region (D13S290, D13S260, D13S310, and D13S267). LOH in the BRCA1 region was found in 47% of tumors, correlating significantly with estrogen receptor content (p = 0.025), progesterone receptors (p = 0.004), higher grade (p = 0.0008), peritumoral vessel invasion (p = 0.001), and lymph node metastases (p = 0.002). When we excluded the cases with LOH in the BRCA2 region and those not informative for it, the significance disappeared. In the BRCA2 region, a rate of LOH of 51% was found; it correlated significantly with estrogen receptor content (p = 0.002), progesterone receptors (p = 0.03), peritumoral vessel invasion (p = 0.005), higher grade (p = 0.002), and lymph node metastases (p = 0.001). When cases with BRCA1 losses and those not informative were excluded, again the significance disappeared. Concomitant losses in the BRCA1 and BRCA2 regions were found in 32% of cases, correlating significantly with lymph node metastases (p = 0.0002), estrogen receptor content (p = 0.003), progesterone receptors (p = 0.001), histologic grade (p = 0.01), and peritumoral vessel invasion (p = 0.0004). These results suggest that concomitant losses in both regions could have a functional effect, influencing the presence of a poor tumor pathophenotype in breast carcinomas. More... »

PAGES

9-17

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1006082117266

DOI

http://dx.doi.org/10.1023/a:1006082117266

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020896394

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10206068


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenocarcinoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "BRCA2 Protein", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Primers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Neoplasm", 
        "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": "Genetic Markers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Loss of Heterozygosity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphatic Metastasis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microsatellite Repeats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcription Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Puerta de Hierro Majadahonda", 
          "id": "https://www.grid.ac/institutes/grid.73221.35", 
          "name": [
            "Department of Medical Oncology, Clinica Puerta de Hierro, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Silva", 
        "givenName": "Jose M.", 
        "id": "sg:person.01012733370.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012733370.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Puerta de Hierro Majadahonda", 
          "id": "https://www.grid.ac/institutes/grid.73221.35", 
          "name": [
            "Department of Medical Oncology, Clinica Puerta de Hierro, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gonzalez", 
        "givenName": "Rocio", 
        "id": "sg:person.01273636062.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273636062.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Puerta de Hierro Majadahonda", 
          "id": "https://www.grid.ac/institutes/grid.73221.35", 
          "name": [
            "Department of Medical Oncology, Clinica Puerta de Hierro, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Provencio", 
        "givenName": "Mariano", 
        "id": "sg:person.0726612567.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726612567.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Puerta de Hierro Majadahonda", 
          "id": "https://www.grid.ac/institutes/grid.73221.35", 
          "name": [
            "Department of Medical Oncology, Clinica Puerta de Hierro, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dominguez", 
        "givenName": "Gema", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Puerta de Hierro Majadahonda", 
          "id": "https://www.grid.ac/institutes/grid.73221.35", 
          "name": [
            "Department of Medical Oncology, Clinica Puerta de Hierro, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garcia", 
        "givenName": "Jose M.", 
        "id": "sg:person.014645712342.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014645712342.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Pathology, Hospital Santa Cristina, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gallego", 
        "givenName": "Isabel", 
        "id": "sg:person.01112472623.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112472623.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario La Paz", 
          "id": "https://www.grid.ac/institutes/grid.81821.32", 
          "name": [
            "Departmentof Pathology, Hospital La Paz, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palacios", 
        "givenName": "Jose", 
        "id": "sg:person.0712056620.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712056620.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Puerta de Hierro Majadahonda", 
          "id": "https://www.grid.ac/institutes/grid.73221.35", 
          "name": [
            "Department of Medical Oncology, Clinica Puerta de Hierro, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Espa\u00f1a", 
        "givenName": "Pilar", 
        "id": "sg:person.01314474117.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314474117.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Universitario Puerta de Hierro Majadahonda", 
          "id": "https://www.grid.ac/institutes/grid.73221.35", 
          "name": [
            "Department of Medical Oncology, Clinica Puerta de Hierro, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bonilla", 
        "givenName": "Felix", 
        "id": "sg:person.01263153010.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263153010.07"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/bjc.1996.234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005822696", 
          "https://doi.org/10.1038/bjc.1996.234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1996.234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005822696", 
          "https://doi.org/10.1038/bjc.1996.234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19961101)78:9<1929::aid-cncr13>3.0.co;2-#", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006214143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng0696-245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007842785", 
          "https://doi.org/10.1038/ng0696-245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.88.9.3847", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010503211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19960215)77:4<697::aid-cncr16>3.0.co;2-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016399570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng0696-238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018029434", 
          "https://doi.org/10.1038/ng0696-238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1996.597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021643760", 
          "https://doi.org/10.1038/bjc.1996.597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1996.597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021643760", 
          "https://doi.org/10.1038/bjc.1996.597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199704173361602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021689763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/386804a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022615608", 
          "https://doi.org/10.1038/386804a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.274.5295.2057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027519498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199611073351901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030178923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(93)90052-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031185352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(93)90052-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031185352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1995.493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039219995", 
          "https://doi.org/10.1038/bjc.1995.493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1995.493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039219995", 
          "https://doi.org/10.1038/bjc.1995.493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/abio.1993.1379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048662652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.2910640207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048896148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19970801)80:3+<543::aid-cncr4>3.0.co;2-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050158320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0092-8674(00)81847-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050568998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(96)90707-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050589194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.91.25.12155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051094167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng0696-241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053536616", 
          "https://doi.org/10.1038/ng0696-241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1659741", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062497985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.2270482", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062529993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.8091231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062652236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077035982", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082424583", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082588272", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082596699", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/4.suppl_1.1811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082851733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082937238", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082972425", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1998.16.1.115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083201624"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1999-01", 
    "datePublishedReg": "1999-01-01", 
    "description": "Loss of heterozygosity (LOH) in loci of the 17q21 and 13q12-13 regions can collaborate in the inactivation of BRCA1, BRCA2, and possibly other genes implicated in the pathogenesis of breast carcinomas. We investigate allelic losses in microsatellites of the BRCA1 and BRCA2 regions, and their correlations with seven pathologic parameters in 140 breast carcinomas. Those cases showing LOH in the region of the RB gene, 13q14, were excluded from the study. The LOH analysis was performed by amplifying DNA by PCR, using four markers of the 17q21 region (D17S856, D17S855, D17S1323, and D17S1327) and four markers of the 13q12-13 region (D13S290, D13S260, D13S310, and D13S267). LOH in the BRCA1 region was found in 47% of tumors, correlating significantly with estrogen receptor content (p = 0.025), progesterone receptors (p = 0.004), higher grade (p = 0.0008), peritumoral vessel invasion (p = 0.001), and lymph node metastases (p = 0.002). When we excluded the cases with LOH in the BRCA2 region and those not informative for it, the significance disappeared. In the BRCA2 region, a rate of LOH of 51% was found; it correlated significantly with estrogen receptor content (p = 0.002), progesterone receptors (p = 0.03), peritumoral vessel invasion (p = 0.005), higher grade (p = 0.002), and lymph node metastases (p = 0.001). When cases with BRCA1 losses and those not informative were excluded, again the significance disappeared. Concomitant losses in the BRCA1 and BRCA2 regions were found in 32% of cases, correlating significantly with lymph node metastases (p = 0.0002), estrogen receptor content (p = 0.003), progesterone receptors (p = 0.001), histologic grade (p = 0.01), and peritumoral vessel invasion (p = 0.0004). These results suggest that concomitant losses in both regions could have a functional effect, influencing the presence of a poor tumor pathophenotype in breast carcinomas.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1006082117266", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "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": "53"
      }
    ], 
    "name": "Loss of heterozygosity in BRCA1 and BRCA2 markers and high\u2010grade malignancy in breast cancer", 
    "pagination": "9-17", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6390281fb78850ee7c51105a9a7e0e6442c7780541e053e9ef3cfb7eb18252d1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "10206068"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8111104"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1006082117266"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1020896394"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1006082117266", 
      "https://app.dimensions.ai/details/publication/pub.1020896394"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:04", 
    "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_8697_00000499.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023/A:1006082117266"
  }
]
 

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.10.1023/a:1006082117266'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1006082117266'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1006082117266'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1006082117266'


 

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

299 TRIPLES      21 PREDICATES      79 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1006082117266 schema:about N0b4e5ba53547467eb1daaee67df6dc85
2 N0c09c53511004cdd8ef5fa8b4f453c99
3 N305e5f62bc794b1caaf62e33e50f5787
4 N3c22e40afa0d4bac80c21035c8da4f5e
5 N492773f3ee7647e387ea556f60d51d9e
6 N535bebe35cd949a6a734d645ab7cf1df
7 N6201a0082d40447e915cdbbe311bb751
8 N793de210a8b4406e96c1958fae032cc7
9 N92693d25a0cf49a885a9992ee7e67a44
10 Na8dba3f96a054d83b1b6b1d0bf820ff6
11 Naa23148a57834c1e8d874122a35bd452
12 Nb8589c4532e247eb8c47677e48cb1612
13 Nc001718cf8e346c9b9a649cd5427ec16
14 Nc4ad042a586e4dcc9c6d6baa7aa708f4
15 Nd7b229f5b5694fe6ac3d27e94990c57a
16 Nee3256cafa84422e8c74769303213845
17 Nef2b1ce429fd466c9d549b8cac5f73c0
18 Nf2969e826bae44468888af81efce2acd
19 Nf520134eea494df2b1179c7f6640558f
20 anzsrc-for:06
21 anzsrc-for:0604
22 schema:author Nc4be4171bfb243cea3081e1931a35213
23 schema:citation sg:pub.10.1038/386804a0
24 sg:pub.10.1038/bjc.1995.493
25 sg:pub.10.1038/bjc.1996.234
26 sg:pub.10.1038/bjc.1996.597
27 sg:pub.10.1038/ng0696-238
28 sg:pub.10.1038/ng0696-241
29 sg:pub.10.1038/ng0696-245
30 https://app.dimensions.ai/details/publication/pub.1077035982
31 https://app.dimensions.ai/details/publication/pub.1082424583
32 https://app.dimensions.ai/details/publication/pub.1082588272
33 https://app.dimensions.ai/details/publication/pub.1082596699
34 https://app.dimensions.ai/details/publication/pub.1082937238
35 https://app.dimensions.ai/details/publication/pub.1082972425
36 https://doi.org/10.1002/(sici)1097-0142(19960215)77:4<697::aid-cncr16>3.0.co;2-w
37 https://doi.org/10.1002/(sici)1097-0142(19961101)78:9<1929::aid-cncr13>3.0.co;2-#
38 https://doi.org/10.1002/(sici)1097-0142(19970801)80:3+<543::aid-cncr4>3.0.co;2-a
39 https://doi.org/10.1002/ijc.2910640207
40 https://doi.org/10.1006/abio.1993.1379
41 https://doi.org/10.1016/0140-6736(93)90052-i
42 https://doi.org/10.1016/s0092-8674(00)81847-4
43 https://doi.org/10.1016/s0140-6736(96)90707-2
44 https://doi.org/10.1056/nejm199611073351901
45 https://doi.org/10.1056/nejm199704173361602
46 https://doi.org/10.1073/pnas.88.9.3847
47 https://doi.org/10.1073/pnas.91.25.12155
48 https://doi.org/10.1093/hmg/4.suppl_1.1811
49 https://doi.org/10.1126/science.1659741
50 https://doi.org/10.1126/science.2270482
51 https://doi.org/10.1126/science.274.5295.2057
52 https://doi.org/10.1126/science.8091231
53 https://doi.org/10.1200/jco.1998.16.1.115
54 schema:datePublished 1999-01
55 schema:datePublishedReg 1999-01-01
56 schema:description Loss of heterozygosity (LOH) in loci of the 17q21 and 13q12-13 regions can collaborate in the inactivation of BRCA1, BRCA2, and possibly other genes implicated in the pathogenesis of breast carcinomas. We investigate allelic losses in microsatellites of the BRCA1 and BRCA2 regions, and their correlations with seven pathologic parameters in 140 breast carcinomas. Those cases showing LOH in the region of the RB gene, 13q14, were excluded from the study. The LOH analysis was performed by amplifying DNA by PCR, using four markers of the 17q21 region (D17S856, D17S855, D17S1323, and D17S1327) and four markers of the 13q12-13 region (D13S290, D13S260, D13S310, and D13S267). LOH in the BRCA1 region was found in 47% of tumors, correlating significantly with estrogen receptor content (p = 0.025), progesterone receptors (p = 0.004), higher grade (p = 0.0008), peritumoral vessel invasion (p = 0.001), and lymph node metastases (p = 0.002). When we excluded the cases with LOH in the BRCA2 region and those not informative for it, the significance disappeared. In the BRCA2 region, a rate of LOH of 51% was found; it correlated significantly with estrogen receptor content (p = 0.002), progesterone receptors (p = 0.03), peritumoral vessel invasion (p = 0.005), higher grade (p = 0.002), and lymph node metastases (p = 0.001). When cases with BRCA1 losses and those not informative were excluded, again the significance disappeared. Concomitant losses in the BRCA1 and BRCA2 regions were found in 32% of cases, correlating significantly with lymph node metastases (p = 0.0002), estrogen receptor content (p = 0.003), progesterone receptors (p = 0.001), histologic grade (p = 0.01), and peritumoral vessel invasion (p = 0.0004). These results suggest that concomitant losses in both regions could have a functional effect, influencing the presence of a poor tumor pathophenotype in breast carcinomas.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf N046b11192fdd49778a6278c46947a668
61 N534e0ef654414d8f8725ec3661fc15d5
62 sg:journal.1092777
63 schema:name Loss of heterozygosity in BRCA1 and BRCA2 markers and high‐grade malignancy in breast cancer
64 schema:pagination 9-17
65 schema:productId N5da6150b2ecd4f10b01dbe40d1683500
66 N897a6423247542fe8549008d5ed14bfb
67 Na09babbb33fe4bcb8bbae1680b651f4e
68 Nb420ed252606406cbac343991700f4b6
69 Ne1fe4b3eedc4414a9f1a4383e9301fb1
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020896394
71 https://doi.org/10.1023/a:1006082117266
72 schema:sdDatePublished 2019-04-11T01:04
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher Ne63e47d4edb74eabbc932fee04b50998
75 schema:url http://link.springer.com/10.1023/A:1006082117266
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N00397843c2784f579faf88e910a6d55c rdf:first sg:person.01314474117.33
80 rdf:rest N3dce22da63e84fb58a79ce13934bb4d0
81 N046b11192fdd49778a6278c46947a668 schema:issueNumber 1
82 rdf:type schema:PublicationIssue
83 N0b4e5ba53547467eb1daaee67df6dc85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Polymerase Chain Reaction
85 rdf:type schema:DefinedTerm
86 N0c09c53511004cdd8ef5fa8b4f453c99 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Breast Neoplasms
88 rdf:type schema:DefinedTerm
89 N1c59dc292dcb4699baffc0979e88df7a schema:name Department of Pathology, Hospital Santa Cristina, Madrid, Spain
90 rdf:type schema:Organization
91 N305e5f62bc794b1caaf62e33e50f5787 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name DNA Primers
93 rdf:type schema:DefinedTerm
94 N32e3b40cf9434364b08edbfec08d3d25 rdf:first sg:person.01112472623.24
95 rdf:rest N76cfef2a0dcf4479a410099dd9c8bc07
96 N3c22e40afa0d4bac80c21035c8da4f5e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name BRCA2 Protein
98 rdf:type schema:DefinedTerm
99 N3dce22da63e84fb58a79ce13934bb4d0 rdf:first sg:person.01263153010.07
100 rdf:rest rdf:nil
101 N492773f3ee7647e387ea556f60d51d9e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Receptors, Estrogen
103 rdf:type schema:DefinedTerm
104 N5072afc082d04b7795fb87cc80b1b16e rdf:first sg:person.0726612567.62
105 rdf:rest N7d2b6b4e7a184f88a1c5cc6eec6d01df
106 N534e0ef654414d8f8725ec3661fc15d5 schema:volumeNumber 53
107 rdf:type schema:PublicationVolume
108 N535bebe35cd949a6a734d645ab7cf1df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Neoplasm Proteins
110 rdf:type schema:DefinedTerm
111 N59d4549a15ed44a490ae20f5de1f285d schema:affiliation https://www.grid.ac/institutes/grid.73221.35
112 schema:familyName Dominguez
113 schema:givenName Gema
114 rdf:type schema:Person
115 N5da6150b2ecd4f10b01dbe40d1683500 schema:name nlm_unique_id
116 schema:value 8111104
117 rdf:type schema:PropertyValue
118 N6122f35811a34f218b6f17da87e8d0ff rdf:first sg:person.01273636062.13
119 rdf:rest N5072afc082d04b7795fb87cc80b1b16e
120 N6201a0082d40447e915cdbbe311bb751 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Transcription Factors
122 rdf:type schema:DefinedTerm
123 N76cfef2a0dcf4479a410099dd9c8bc07 rdf:first sg:person.0712056620.00
124 rdf:rest N00397843c2784f579faf88e910a6d55c
125 N793de210a8b4406e96c1958fae032cc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Loss of Heterozygosity
127 rdf:type schema:DefinedTerm
128 N7d2b6b4e7a184f88a1c5cc6eec6d01df rdf:first N59d4549a15ed44a490ae20f5de1f285d
129 rdf:rest Nd35bd5bfb3394e32be8e13ff2019c298
130 N897a6423247542fe8549008d5ed14bfb schema:name doi
131 schema:value 10.1023/a:1006082117266
132 rdf:type schema:PropertyValue
133 N92693d25a0cf49a885a9992ee7e67a44 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Microsatellite Repeats
135 rdf:type schema:DefinedTerm
136 Na09babbb33fe4bcb8bbae1680b651f4e schema:name pubmed_id
137 schema:value 10206068
138 rdf:type schema:PropertyValue
139 Na8dba3f96a054d83b1b6b1d0bf820ff6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Female
141 rdf:type schema:DefinedTerm
142 Naa23148a57834c1e8d874122a35bd452 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Genes, BRCA1
144 rdf:type schema:DefinedTerm
145 Nb420ed252606406cbac343991700f4b6 schema:name readcube_id
146 schema:value 6390281fb78850ee7c51105a9a7e0e6442c7780541e053e9ef3cfb7eb18252d1
147 rdf:type schema:PropertyValue
148 Nb8589c4532e247eb8c47677e48cb1612 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Adenocarcinoma
150 rdf:type schema:DefinedTerm
151 Nc001718cf8e346c9b9a649cd5427ec16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Genetic Markers
153 rdf:type schema:DefinedTerm
154 Nc4ad042a586e4dcc9c6d6baa7aa708f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Prognosis
156 rdf:type schema:DefinedTerm
157 Nc4be4171bfb243cea3081e1931a35213 rdf:first sg:person.01012733370.14
158 rdf:rest N6122f35811a34f218b6f17da87e8d0ff
159 Nd35bd5bfb3394e32be8e13ff2019c298 rdf:first sg:person.014645712342.91
160 rdf:rest N32e3b40cf9434364b08edbfec08d3d25
161 Nd7b229f5b5694fe6ac3d27e94990c57a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name DNA, Neoplasm
163 rdf:type schema:DefinedTerm
164 Ne1fe4b3eedc4414a9f1a4383e9301fb1 schema:name dimensions_id
165 schema:value pub.1020896394
166 rdf:type schema:PropertyValue
167 Ne63e47d4edb74eabbc932fee04b50998 schema:name Springer Nature - SN SciGraph project
168 rdf:type schema:Organization
169 Nee3256cafa84422e8c74769303213845 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Receptors, Progesterone
171 rdf:type schema:DefinedTerm
172 Nef2b1ce429fd466c9d549b8cac5f73c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Humans
174 rdf:type schema:DefinedTerm
175 Nf2969e826bae44468888af81efce2acd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Middle Aged
177 rdf:type schema:DefinedTerm
178 Nf520134eea494df2b1179c7f6640558f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Lymphatic Metastasis
180 rdf:type schema:DefinedTerm
181 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
182 schema:name Biological Sciences
183 rdf:type schema:DefinedTerm
184 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
185 schema:name Genetics
186 rdf:type schema:DefinedTerm
187 sg:journal.1092777 schema:issn 0167-6806
188 1573-7217
189 schema:name Breast Cancer Research and Treatment
190 rdf:type schema:Periodical
191 sg:person.01012733370.14 schema:affiliation https://www.grid.ac/institutes/grid.73221.35
192 schema:familyName Silva
193 schema:givenName Jose M.
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012733370.14
195 rdf:type schema:Person
196 sg:person.01112472623.24 schema:affiliation N1c59dc292dcb4699baffc0979e88df7a
197 schema:familyName Gallego
198 schema:givenName Isabel
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112472623.24
200 rdf:type schema:Person
201 sg:person.01263153010.07 schema:affiliation https://www.grid.ac/institutes/grid.73221.35
202 schema:familyName Bonilla
203 schema:givenName Felix
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263153010.07
205 rdf:type schema:Person
206 sg:person.01273636062.13 schema:affiliation https://www.grid.ac/institutes/grid.73221.35
207 schema:familyName Gonzalez
208 schema:givenName Rocio
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273636062.13
210 rdf:type schema:Person
211 sg:person.01314474117.33 schema:affiliation https://www.grid.ac/institutes/grid.73221.35
212 schema:familyName España
213 schema:givenName Pilar
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314474117.33
215 rdf:type schema:Person
216 sg:person.014645712342.91 schema:affiliation https://www.grid.ac/institutes/grid.73221.35
217 schema:familyName Garcia
218 schema:givenName Jose M.
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014645712342.91
220 rdf:type schema:Person
221 sg:person.0712056620.00 schema:affiliation https://www.grid.ac/institutes/grid.81821.32
222 schema:familyName Palacios
223 schema:givenName Jose
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712056620.00
225 rdf:type schema:Person
226 sg:person.0726612567.62 schema:affiliation https://www.grid.ac/institutes/grid.73221.35
227 schema:familyName Provencio
228 schema:givenName Mariano
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726612567.62
230 rdf:type schema:Person
231 sg:pub.10.1038/386804a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022615608
232 https://doi.org/10.1038/386804a0
233 rdf:type schema:CreativeWork
234 sg:pub.10.1038/bjc.1995.493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039219995
235 https://doi.org/10.1038/bjc.1995.493
236 rdf:type schema:CreativeWork
237 sg:pub.10.1038/bjc.1996.234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005822696
238 https://doi.org/10.1038/bjc.1996.234
239 rdf:type schema:CreativeWork
240 sg:pub.10.1038/bjc.1996.597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021643760
241 https://doi.org/10.1038/bjc.1996.597
242 rdf:type schema:CreativeWork
243 sg:pub.10.1038/ng0696-238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018029434
244 https://doi.org/10.1038/ng0696-238
245 rdf:type schema:CreativeWork
246 sg:pub.10.1038/ng0696-241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053536616
247 https://doi.org/10.1038/ng0696-241
248 rdf:type schema:CreativeWork
249 sg:pub.10.1038/ng0696-245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007842785
250 https://doi.org/10.1038/ng0696-245
251 rdf:type schema:CreativeWork
252 https://app.dimensions.ai/details/publication/pub.1077035982 schema:CreativeWork
253 https://app.dimensions.ai/details/publication/pub.1082424583 schema:CreativeWork
254 https://app.dimensions.ai/details/publication/pub.1082588272 schema:CreativeWork
255 https://app.dimensions.ai/details/publication/pub.1082596699 schema:CreativeWork
256 https://app.dimensions.ai/details/publication/pub.1082937238 schema:CreativeWork
257 https://app.dimensions.ai/details/publication/pub.1082972425 schema:CreativeWork
258 https://doi.org/10.1002/(sici)1097-0142(19960215)77:4<697::aid-cncr16>3.0.co;2-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1016399570
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1002/(sici)1097-0142(19961101)78:9<1929::aid-cncr13>3.0.co;2-# schema:sameAs https://app.dimensions.ai/details/publication/pub.1006214143
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1002/(sici)1097-0142(19970801)80:3+<543::aid-cncr4>3.0.co;2-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1050158320
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1002/ijc.2910640207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048896148
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1006/abio.1993.1379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048662652
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1016/0140-6736(93)90052-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1031185352
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1016/s0092-8674(00)81847-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050568998
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1016/s0140-6736(96)90707-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050589194
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1056/nejm199611073351901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030178923
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1056/nejm199704173361602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021689763
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1073/pnas.88.9.3847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010503211
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1073/pnas.91.25.12155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051094167
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1093/hmg/4.suppl_1.1811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082851733
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1126/science.1659741 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062497985
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1126/science.2270482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062529993
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1126/science.274.5295.2057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027519498
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1126/science.8091231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062652236
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1200/jco.1998.16.1.115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083201624
293 rdf:type schema:CreativeWork
294 https://www.grid.ac/institutes/grid.73221.35 schema:alternateName Hospital Universitario Puerta de Hierro Majadahonda
295 schema:name Department of Medical Oncology, Clinica Puerta de Hierro, Madrid, Spain
296 rdf:type schema:Organization
297 https://www.grid.ac/institutes/grid.81821.32 schema:alternateName Hospital Universitario La Paz
298 schema:name Departmentof Pathology, Hospital La Paz, Madrid, Spain
299 rdf:type schema:Organization
 




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


...