PTEN activity could be a predictive marker of trastuzumab efficacy in the treatment of ErbB2-overexpressing breast cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-01

AUTHORS

T Fujita, H Doihara, K Kawasaki, D Takabatake, H Takahashi, K Washio, K Tsukuda, Y Ogasawara, N Shimizu

ABSTRACT

Trastuzumab is the only HER2/neu-directed therapy to have received Food and Drug Administration approval for the treatment of patients with metastatic breast cancer. The efficacy of trastuzumab depends on the HER2/neu status of the tumour and the patient's prior treatment, but even when patients are selected on the basis of HER2/neu gene amplification, the single-agent response rate ranges from 12 to 30% and few patients respond to trastuzumab monotherapy. Here, we propose PTEN as a predictive biomarker for trastuzumab efficacy. Human breast cancer SKBR3 and drug-resistant SKBR3/R cells were investigated. We also examined clinical samples from patients who had been treated with trastuzumab and analysed the relationship between trastuzumab efficacy and PTEN level. The PI3K/Akt signalling pathway was observed to be highly active in the drug-resistant cells, and their level of PTEN was low. Delivery of antisense PTEN duplex siRNA significantly decreased the trastuzumab chemosensitivity of parental SKBR3 cells, and marked activation of Akt signalling pathway was also recognised. Moreover, immunohistochemical investigation revealed that trastuzumab treatment was remarkably successful in cells with elevated PTEN expression. Along with the immune-system-associated cytotoxic mechanism, several mechanisms have been proposed for the effect of trastuzumab. PTEN activity might play an important and major role in its HER2/PI3K/Akt-mediated antitumour effect, and could be a useful biomarker for predicting the efficacy of trastuzumab in the treatment of breast cancer. More... »

PAGES

247

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.bjc.6602926

DOI

http://dx.doi.org/10.1038/sj.bjc.6602926

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012929330

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16404430


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": "Antibodies, Monoclonal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antibodies, Monoclonal, Humanized", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antineoplastic Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blotting, Western", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Line, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genes, erbB-2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Immunohistochemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "PTEN Phosphohydrolase", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptor, ErbB-2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Trastuzumab", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujita", 
        "givenName": "T", 
        "id": "sg:person.0673637162.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673637162.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Doihara", 
        "givenName": "H", 
        "id": "sg:person.01164513275.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164513275.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawasaki", 
        "givenName": "K", 
        "id": "sg:person.01254646723.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254646723.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takabatake", 
        "givenName": "D", 
        "id": "sg:person.0656053074.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656053074.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takahashi", 
        "givenName": "H", 
        "id": "sg:person.01216234476.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216234476.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Washio", 
        "givenName": "K", 
        "id": "sg:person.015733220477.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015733220477.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsukuda", 
        "givenName": "K", 
        "id": "sg:person.0606520160.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606520160.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ogasawara", 
        "givenName": "Y", 
        "id": "sg:person.01070702327.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070702327.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okayama University", 
          "id": "https://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimizu", 
        "givenName": "N", 
        "id": "sg:person.010061633617.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010061633617.31"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/bcr927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001040088", 
          "https://doi.org/10.1186/bcr927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001040088", 
          "https://doi.org/10.1186/bcr927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1203972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002227737", 
          "https://doi.org/10.1038/sj.onc.1203972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1203972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002227737", 
          "https://doi.org/10.1038/sj.onc.1203972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-9525(00)89125-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003518497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/93.24.1830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010029421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.275.5308.1943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014605015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccr.2004.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015652090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccr.2004.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016986102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmcibr043143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017610960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6690115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018536489", 
          "https://doi.org/10.1038/sj.bjc.6690115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6690115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018536489", 
          "https://doi.org/10.1038/sj.bjc.6690115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1098-2264(199802)21:2<166::aid-gcc13>3.0.co;2-p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018991410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1996.236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021048789", 
          "https://doi.org/10.1038/bjc.1996.236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.1996.236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021048789", 
          "https://doi.org/10.1038/bjc.1996.236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/93.24.1852", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022747550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-04-3943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023433739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1006273516976", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028638751", 
          "https://doi.org/10.1023/a:1006273516976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3880371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029420008", 
          "https://doi.org/10.1038/modpathol.3880371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3880371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029420008", 
          "https://doi.org/10.1038/modpathol.3880371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/1235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033843315", 
          "https://doi.org/10.1038/1235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/1235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033843315", 
          "https://doi.org/10.1038/1235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00280-003-0728-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036662285", 
          "https://doi.org/10.1007/s00280-003-0728-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/92.11.924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038491362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.11445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039084964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0142(19931215)72:12<3641::aid-cncr2820721215>3.0.co;2-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040904646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.26.15406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045606346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-437x(98)80061-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045686158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1203183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046929263", 
          "https://doi.org/10.1038/sj.onc.1203183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1203183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046929263", 
          "https://doi.org/10.1038/sj.onc.1203183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9440(10)65227-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047501514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.96.4.1563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047977012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mehy.2004.09.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050990660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m009134200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051387469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1201940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051610015", 
          "https://doi.org/10.1038/sj.onc.1201940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1201940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051610015", 
          "https://doi.org/10.1038/sj.onc.1201940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3727/0965040042380487", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076970271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083151244", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083167108", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083173464", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083182811", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-01", 
    "datePublishedReg": "2006-01-01", 
    "description": "Trastuzumab is the only HER2/neu-directed therapy to have received Food and Drug Administration approval for the treatment of patients with metastatic breast cancer. The efficacy of trastuzumab depends on the HER2/neu status of the tumour and the patient's prior treatment, but even when patients are selected on the basis of HER2/neu gene amplification, the single-agent response rate ranges from 12 to 30% and few patients respond to trastuzumab monotherapy. Here, we propose PTEN as a predictive biomarker for trastuzumab efficacy. Human breast cancer SKBR3 and drug-resistant SKBR3/R cells were investigated. We also examined clinical samples from patients who had been treated with trastuzumab and analysed the relationship between trastuzumab efficacy and PTEN level. The PI3K/Akt signalling pathway was observed to be highly active in the drug-resistant cells, and their level of PTEN was low. Delivery of antisense PTEN duplex siRNA significantly decreased the trastuzumab chemosensitivity of parental SKBR3 cells, and marked activation of Akt signalling pathway was also recognised. Moreover, immunohistochemical investigation revealed that trastuzumab treatment was remarkably successful in cells with elevated PTEN expression. Along with the immune-system-associated cytotoxic mechanism, several mechanisms have been proposed for the effect of trastuzumab. PTEN activity might play an important and major role in its HER2/PI3K/Akt-mediated antitumour effect, and could be a useful biomarker for predicting the efficacy of trastuzumab in the treatment of breast cancer.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sj.bjc.6602926", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "94"
      }
    ], 
    "name": "PTEN activity could be a predictive marker of trastuzumab efficacy in the treatment of ErbB2-overexpressing breast cancer", 
    "pagination": "247", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3d989504438c5e82e12af62f771ad3451e96ae239cb26dd61eaeabb55cde2b24"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16404430"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sj.bjc.6602926"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012929330"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sj.bjc.6602926", 
      "https://app.dimensions.ai/details/publication/pub.1012929330"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:13", 
    "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/v90/0000000361_0000000361/records_53998_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/6602926"
  }
]
 

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.10.1038/sj.bjc.6602926'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6602926'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6602926'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6602926'


 

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

294 TRIPLES      21 PREDICATES      78 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sj.bjc.6602926 schema:about N019c302885f8495b99faffc6ae6291a2
2 N031ea05cfb774ed7a00b82d937a301cd
3 N0e067bc2a8894b97a5b6fb3ccb0b0eb7
4 N1455c14ed6f04620923adb5e37f64d43
5 N168d12667b7c49a6855c9b66938ea8b1
6 N217489cc6b6f40478c6772c4803414fe
7 N418e2197dc80473a937be6c60f48e9c4
8 N46f4621d238446b994a2dd0db9bbc802
9 N71795db7acf9406aafd566b25ccc1bd6
10 N85c0859cde21492bac91f22a2ca50722
11 N8733600488964bb5bf0a0ea25ab81103
12 Nadd26403b5fe4adb90b4fc953baec676
13 Nb5a26360f2504cc1889ed9554f851314
14 Nccf6a089d3ce4490a21f70db8b77fa59
15 Nd545ba871f614ee9bd370324d6520682
16 Nfcfbbc04927743b9b5ebb8f9066bc2d6
17 anzsrc-for:11
18 anzsrc-for:1112
19 schema:author N8f66751600414cde85dce06763b9c3bf
20 schema:citation sg:pub.10.1007/s00280-003-0728-3
21 sg:pub.10.1023/a:1006273516976
22 sg:pub.10.1038/1235
23 sg:pub.10.1038/bjc.1996.236
24 sg:pub.10.1038/modpathol.3880371
25 sg:pub.10.1038/sj.bjc.6690115
26 sg:pub.10.1038/sj.onc.1201940
27 sg:pub.10.1038/sj.onc.1203183
28 sg:pub.10.1038/sj.onc.1203972
29 sg:pub.10.1186/bcr927
30 https://app.dimensions.ai/details/publication/pub.1083151244
31 https://app.dimensions.ai/details/publication/pub.1083167108
32 https://app.dimensions.ai/details/publication/pub.1083173464
33 https://app.dimensions.ai/details/publication/pub.1083182811
34 https://doi.org/10.1002/(sici)1098-2264(199802)21:2<166::aid-gcc13>3.0.co;2-p
35 https://doi.org/10.1002/1097-0142(19931215)72:12<3641::aid-cncr2820721215>3.0.co;2-8
36 https://doi.org/10.1002/ijc.11445
37 https://doi.org/10.1016/j.ccr.2004.06.022
38 https://doi.org/10.1016/j.ccr.2004.08.001
39 https://doi.org/10.1016/j.mehy.2004.09.027
40 https://doi.org/10.1016/s0002-9440(10)65227-3
41 https://doi.org/10.1016/s0168-9525(00)89125-8
42 https://doi.org/10.1016/s0959-437x(98)80061-0
43 https://doi.org/10.1056/nejmcibr043143
44 https://doi.org/10.1073/pnas.95.26.15406
45 https://doi.org/10.1073/pnas.96.4.1563
46 https://doi.org/10.1074/jbc.m009134200
47 https://doi.org/10.1093/jnci/92.11.924
48 https://doi.org/10.1093/jnci/93.24.1830
49 https://doi.org/10.1093/jnci/93.24.1852
50 https://doi.org/10.1126/science.275.5308.1943
51 https://doi.org/10.1158/0008-5472.can-04-3943
52 https://doi.org/10.3727/0965040042380487
53 schema:datePublished 2006-01
54 schema:datePublishedReg 2006-01-01
55 schema:description Trastuzumab is the only HER2/neu-directed therapy to have received Food and Drug Administration approval for the treatment of patients with metastatic breast cancer. The efficacy of trastuzumab depends on the HER2/neu status of the tumour and the patient's prior treatment, but even when patients are selected on the basis of HER2/neu gene amplification, the single-agent response rate ranges from 12 to 30% and few patients respond to trastuzumab monotherapy. Here, we propose PTEN as a predictive biomarker for trastuzumab efficacy. Human breast cancer SKBR3 and drug-resistant SKBR3/R cells were investigated. We also examined clinical samples from patients who had been treated with trastuzumab and analysed the relationship between trastuzumab efficacy and PTEN level. The PI3K/Akt signalling pathway was observed to be highly active in the drug-resistant cells, and their level of PTEN was low. Delivery of antisense PTEN duplex siRNA significantly decreased the trastuzumab chemosensitivity of parental SKBR3 cells, and marked activation of Akt signalling pathway was also recognised. Moreover, immunohistochemical investigation revealed that trastuzumab treatment was remarkably successful in cells with elevated PTEN expression. Along with the immune-system-associated cytotoxic mechanism, several mechanisms have been proposed for the effect of trastuzumab. PTEN activity might play an important and major role in its HER2/PI3K/Akt-mediated antitumour effect, and could be a useful biomarker for predicting the efficacy of trastuzumab in the treatment of breast cancer.
56 schema:genre research_article
57 schema:inLanguage en
58 schema:isAccessibleForFree true
59 schema:isPartOf N8d97b5d1af104bf9b293dadf8989d3ca
60 Nd940bb9845db4bb39eb357971ed5b25e
61 sg:journal.1017082
62 schema:name PTEN activity could be a predictive marker of trastuzumab efficacy in the treatment of ErbB2-overexpressing breast cancer
63 schema:pagination 247
64 schema:productId N4c507b7199aa442981682d58cad3cac5
65 N96a14032320445dcbb0d3a219efb1578
66 N98fd9b5c72ef40cda7bcb4681ed8b2df
67 Nd6ef755385d1489eadcea558f641823c
68 Nf55039b323ee4b829a080b2d25f23a73
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012929330
70 https://doi.org/10.1038/sj.bjc.6602926
71 schema:sdDatePublished 2019-04-11T12:13
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher N3bd057489ec344debc81ef70a31c99bb
74 schema:url https://www.nature.com/articles/6602926
75 sgo:license sg:explorer/license/
76 sgo:sdDataset articles
77 rdf:type schema:ScholarlyArticle
78 N019c302885f8495b99faffc6ae6291a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Prognosis
80 rdf:type schema:DefinedTerm
81 N031ea05cfb774ed7a00b82d937a301cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Receptor, ErbB-2
83 rdf:type schema:DefinedTerm
84 N0e067bc2a8894b97a5b6fb3ccb0b0eb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Treatment Outcome
86 rdf:type schema:DefinedTerm
87 N1445a0f0cb7849dfa0a85b8fb9a9a4be rdf:first sg:person.0656053074.04
88 rdf:rest N1d5a8f8201dc49a49b233fb18a362796
89 N1455c14ed6f04620923adb5e37f64d43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Humans
91 rdf:type schema:DefinedTerm
92 N168d12667b7c49a6855c9b66938ea8b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Antineoplastic Agents
94 rdf:type schema:DefinedTerm
95 N1d5a8f8201dc49a49b233fb18a362796 rdf:first sg:person.01216234476.35
96 rdf:rest N62478171192e42e4b615594cfdbc6db2
97 N217489cc6b6f40478c6772c4803414fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Breast Neoplasms
99 rdf:type schema:DefinedTerm
100 N298c8118998c4bfbbea603cf521bfede rdf:first sg:person.0606520160.99
101 rdf:rest Nd2f9296cfff74a59b40f4d20c884aae0
102 N3bd057489ec344debc81ef70a31c99bb schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 N418e2197dc80473a937be6c60f48e9c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Immunohistochemistry
106 rdf:type schema:DefinedTerm
107 N46f4621d238446b994a2dd0db9bbc802 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Trastuzumab
109 rdf:type schema:DefinedTerm
110 N4c507b7199aa442981682d58cad3cac5 schema:name readcube_id
111 schema:value 3d989504438c5e82e12af62f771ad3451e96ae239cb26dd61eaeabb55cde2b24
112 rdf:type schema:PropertyValue
113 N4e685b55406a4cf79c5d191bf08a0765 rdf:first sg:person.010061633617.31
114 rdf:rest rdf:nil
115 N62478171192e42e4b615594cfdbc6db2 rdf:first sg:person.015733220477.40
116 rdf:rest N298c8118998c4bfbbea603cf521bfede
117 N71795db7acf9406aafd566b25ccc1bd6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Antibodies, Monoclonal, Humanized
119 rdf:type schema:DefinedTerm
120 N85c0859cde21492bac91f22a2ca50722 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Genes, erbB-2
122 rdf:type schema:DefinedTerm
123 N8733600488964bb5bf0a0ea25ab81103 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Antibodies, Monoclonal
125 rdf:type schema:DefinedTerm
126 N8d97b5d1af104bf9b293dadf8989d3ca schema:volumeNumber 94
127 rdf:type schema:PublicationVolume
128 N8f66751600414cde85dce06763b9c3bf rdf:first sg:person.0673637162.80
129 rdf:rest Nccfe73ff44ca4d08bc2f1c1a3eb616db
130 N96a14032320445dcbb0d3a219efb1578 schema:name pubmed_id
131 schema:value 16404430
132 rdf:type schema:PropertyValue
133 N98fd9b5c72ef40cda7bcb4681ed8b2df schema:name doi
134 schema:value 10.1038/sj.bjc.6602926
135 rdf:type schema:PropertyValue
136 Nadd26403b5fe4adb90b4fc953baec676 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Cell Line, Tumor
138 rdf:type schema:DefinedTerm
139 Nb5a26360f2504cc1889ed9554f851314 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Blotting, Western
141 rdf:type schema:DefinedTerm
142 Nccf6a089d3ce4490a21f70db8b77fa59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name PTEN Phosphohydrolase
144 rdf:type schema:DefinedTerm
145 Nccfe73ff44ca4d08bc2f1c1a3eb616db rdf:first sg:person.01164513275.19
146 rdf:rest Ne3659eb2d31d40bbaab9187820ae323d
147 Nd2f9296cfff74a59b40f4d20c884aae0 rdf:first sg:person.01070702327.59
148 rdf:rest N4e685b55406a4cf79c5d191bf08a0765
149 Nd545ba871f614ee9bd370324d6520682 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Biomarkers, Tumor
151 rdf:type schema:DefinedTerm
152 Nd6ef755385d1489eadcea558f641823c schema:name dimensions_id
153 schema:value pub.1012929330
154 rdf:type schema:PropertyValue
155 Nd940bb9845db4bb39eb357971ed5b25e schema:issueNumber 2
156 rdf:type schema:PublicationIssue
157 Ne3659eb2d31d40bbaab9187820ae323d rdf:first sg:person.01254646723.08
158 rdf:rest N1445a0f0cb7849dfa0a85b8fb9a9a4be
159 Nf55039b323ee4b829a080b2d25f23a73 schema:name nlm_unique_id
160 schema:value 0370635
161 rdf:type schema:PropertyValue
162 Nfcfbbc04927743b9b5ebb8f9066bc2d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Female
164 rdf:type schema:DefinedTerm
165 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
166 schema:name Medical and Health Sciences
167 rdf:type schema:DefinedTerm
168 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
169 schema:name Oncology and Carcinogenesis
170 rdf:type schema:DefinedTerm
171 sg:journal.1017082 schema:issn 0007-0920
172 1532-1827
173 schema:name British Journal of Cancer
174 rdf:type schema:Periodical
175 sg:person.010061633617.31 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
176 schema:familyName Shimizu
177 schema:givenName N
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010061633617.31
179 rdf:type schema:Person
180 sg:person.01070702327.59 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
181 schema:familyName Ogasawara
182 schema:givenName Y
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070702327.59
184 rdf:type schema:Person
185 sg:person.01164513275.19 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
186 schema:familyName Doihara
187 schema:givenName H
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164513275.19
189 rdf:type schema:Person
190 sg:person.01216234476.35 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
191 schema:familyName Takahashi
192 schema:givenName H
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216234476.35
194 rdf:type schema:Person
195 sg:person.01254646723.08 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
196 schema:familyName Kawasaki
197 schema:givenName K
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254646723.08
199 rdf:type schema:Person
200 sg:person.015733220477.40 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
201 schema:familyName Washio
202 schema:givenName K
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015733220477.40
204 rdf:type schema:Person
205 sg:person.0606520160.99 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
206 schema:familyName Tsukuda
207 schema:givenName K
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606520160.99
209 rdf:type schema:Person
210 sg:person.0656053074.04 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
211 schema:familyName Takabatake
212 schema:givenName D
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656053074.04
214 rdf:type schema:Person
215 sg:person.0673637162.80 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
216 schema:familyName Fujita
217 schema:givenName T
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673637162.80
219 rdf:type schema:Person
220 sg:pub.10.1007/s00280-003-0728-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036662285
221 https://doi.org/10.1007/s00280-003-0728-3
222 rdf:type schema:CreativeWork
223 sg:pub.10.1023/a:1006273516976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028638751
224 https://doi.org/10.1023/a:1006273516976
225 rdf:type schema:CreativeWork
226 sg:pub.10.1038/1235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033843315
227 https://doi.org/10.1038/1235
228 rdf:type schema:CreativeWork
229 sg:pub.10.1038/bjc.1996.236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021048789
230 https://doi.org/10.1038/bjc.1996.236
231 rdf:type schema:CreativeWork
232 sg:pub.10.1038/modpathol.3880371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029420008
233 https://doi.org/10.1038/modpathol.3880371
234 rdf:type schema:CreativeWork
235 sg:pub.10.1038/sj.bjc.6690115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018536489
236 https://doi.org/10.1038/sj.bjc.6690115
237 rdf:type schema:CreativeWork
238 sg:pub.10.1038/sj.onc.1201940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051610015
239 https://doi.org/10.1038/sj.onc.1201940
240 rdf:type schema:CreativeWork
241 sg:pub.10.1038/sj.onc.1203183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046929263
242 https://doi.org/10.1038/sj.onc.1203183
243 rdf:type schema:CreativeWork
244 sg:pub.10.1038/sj.onc.1203972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002227737
245 https://doi.org/10.1038/sj.onc.1203972
246 rdf:type schema:CreativeWork
247 sg:pub.10.1186/bcr927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001040088
248 https://doi.org/10.1186/bcr927
249 rdf:type schema:CreativeWork
250 https://app.dimensions.ai/details/publication/pub.1083151244 schema:CreativeWork
251 https://app.dimensions.ai/details/publication/pub.1083167108 schema:CreativeWork
252 https://app.dimensions.ai/details/publication/pub.1083173464 schema:CreativeWork
253 https://app.dimensions.ai/details/publication/pub.1083182811 schema:CreativeWork
254 https://doi.org/10.1002/(sici)1098-2264(199802)21:2<166::aid-gcc13>3.0.co;2-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1018991410
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1002/1097-0142(19931215)72:12<3641::aid-cncr2820721215>3.0.co;2-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040904646
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1002/ijc.11445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039084964
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/j.ccr.2004.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016986102
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/j.ccr.2004.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015652090
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/j.mehy.2004.09.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050990660
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/s0002-9440(10)65227-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047501514
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1016/s0168-9525(00)89125-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003518497
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1016/s0959-437x(98)80061-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045686158
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1056/nejmcibr043143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017610960
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1073/pnas.95.26.15406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045606346
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1073/pnas.96.4.1563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047977012
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1074/jbc.m009134200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051387469
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1093/jnci/92.11.924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038491362
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1093/jnci/93.24.1830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010029421
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1093/jnci/93.24.1852 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022747550
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1126/science.275.5308.1943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014605015
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1158/0008-5472.can-04-3943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023433739
289 rdf:type schema:CreativeWork
290 https://doi.org/10.3727/0965040042380487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076970271
291 rdf:type schema:CreativeWork
292 https://www.grid.ac/institutes/grid.261356.5 schema:alternateName Okayama University
293 schema:name Department of Cancer and Thoracic Surgery, Okayama University Graduate School of Medicine and Dentistry, 2-5-1 Shikata-cho, 700-8558 Okayama, Japan
294 rdf:type schema:Organization
 




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


...