Kisspeptin and GPR54 immunoreactivity in a cohort of 518 patients defines favourable prognosis and clear cell subtype in ovarian carcinoma View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-12

AUTHORS

Leah M Prentice, Christian Klausen, Steve Kalloger, Martin Köbel, Steven McKinney, Jennifer L Santos, Challayne Kenney, Erika Mehl, C Blake Gilks, Peter Leung, Ken Swenerton, David G Huntsman, Samuel AJ Aparicio

ABSTRACT

BACKGROUND: Kisspeptins and their G-protein coupled receptor, GPR54 are required for GnRH release and have been associated with anti-metastatic tumour cell behaviour in model systems. The latter might suggest that their overexpression would be associated with a better prognosis in cancer. However, kisspeptin/GPR54 interactions (autocrine, paracrine, and/or endocrine) could also impact tumour behaviour in a negative manner. Here, for the first time, we associate the immunoreactivity of the kisspeptin/GPR54 ligand-receptor pair with favourable prognosis in a large cohort of ovarian carcinomas. METHODS: Immunohistochemical analysis for kisspeptin and GPR54 was performed on a tissue microarray (TMA) consisting of 518 early stage ovarian carcinomas, all with linked clinical outcome data. The TMA was scored using a staining intensity scale of 0 (negative), +1 (mild-moderate), and +2 (strong). Strong staining cases were considered either kisspeptin or GPR54 positive and designated as 1, while all other cases were considered negative and designated 0. All statistical analysis was conducted using two-sided tests and a p value equal to or less than 0.05 was considered significant. RESULTS: Kisspeptin and GPR54 immunoreactive cases show a favourable prognosis in univariable disease specific survival (p = 0.0023, p = 0.0092), as well as in overall survival (p = 0.0006, p = 0.0002). Furthermore, kisspeptin is an independent marker for favourable prognosis as determined by multivariable disease specific (p = 0.0046) and overall survival analysis (p = 0.0170), while GPR54 is an independent marker for overall survival only (p = 0.0303). Both kisspeptin positive and GPR54 positive cases are strongly associated with the ovarian carcinoma clear cell subtype (p < 0.0001, p < 0.0001), and GPR54 is significantly associated with favourable prognosis in overall survival within the clear cell subtype (p = 0.0102). CONCLUSION: Kisspeptin and GPR54 immunoreactivity are significantly associated with favourable prognosis in both disease specific and overall survival, as well as being significantly associated with the clear cell ovarian carcinoma subtype, thereby creating the first independent prognostic biomarkers specific for ovarian clear cell carcinomas. More... »

PAGES

33

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1741-7015-5-33

DOI

http://dx.doi.org/10.1186/1741-7015-5-33

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046037133

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18005407


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": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Immunohistochemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kaplan-Meier Estimate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kisspeptins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ovarian Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proportional Hazards Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, G-Protein-Coupled", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Kisspeptin-1", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tumor Suppressor Proteins", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Molecular Oncology and Breast Cancer Program, British Columbia Cancer Research Centre and Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada", 
            "Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Prentice", 
        "givenName": "Leah M", 
        "id": "sg:person.0714313413.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714313413.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Klausen", 
        "givenName": "Christian", 
        "id": "sg:person.01051076427.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051076427.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Molecular Oncology and Breast Cancer Program, British Columbia Cancer Research Centre and Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada", 
            "Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kalloger", 
        "givenName": "Steve", 
        "id": "sg:person.0762426613.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762426613.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Charit\u00e9", 
          "id": "https://www.grid.ac/institutes/grid.6363.0", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada", 
            "Institute of Pathology, Charit\u00e9 Hospital, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "K\u00f6bel", 
        "givenName": "Martin", 
        "id": "sg:person.0720633677.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720633677.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Molecular Oncology and Breast Cancer Program, British Columbia Cancer Research Centre and Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McKinney", 
        "givenName": "Steven", 
        "id": "sg:person.01303045554.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303045554.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Department of Gynaecology, Vancouver General Hospital, Vancouver, British Columbia, Canada", 
            "Cheryl Brown Ovarian Cancer Outcomes Unit, Department of Gynaecologic Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Santos", 
        "givenName": "Jennifer L", 
        "id": "sg:person.01344544575.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344544575.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kenney", 
        "givenName": "Challayne", 
        "id": "sg:person.01353016723.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353016723.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mehl", 
        "givenName": "Erika", 
        "id": "sg:person.01035062277.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035062277.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gilks", 
        "givenName": "C Blake", 
        "id": "sg:person.01120560217.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120560217.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Leung", 
        "givenName": "Peter", 
        "id": "sg:person.011471122732.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011471122732.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency", 
          "id": "https://www.grid.ac/institutes/grid.248762.d", 
          "name": [
            "Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada", 
            "Department of Medical Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Swenerton", 
        "givenName": "Ken", 
        "id": "sg:person.0627501735.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627501735.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huntsman", 
        "givenName": "David G", 
        "id": "sg:person.015140454124.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015140454124.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Molecular Oncology and Breast Cancer Program, British Columbia Cancer Research Centre and Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aparicio", 
        "givenName": "Samuel AJ", 
        "id": "sg:person.0720022504.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720022504.02"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.0704114104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001390730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3800272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009834201", 
          "https://doi.org/10.1038/modpathol.3800272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/modpathol.3800272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009834201", 
          "https://doi.org/10.1038/modpathol.3800272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1113/jphysiol.2004.072298", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009988089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdl421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010369320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m102743200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011311698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10585-005-4180-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012622481", 
          "https://doi.org/10.1007/s10585-005-4180-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10585-005-4180-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012622481", 
          "https://doi.org/10.1007/s10585-005-4180-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m104847200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014863693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2004.05.185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015980739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0409330102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016841222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2007.03.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018815772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpendo.00555.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019222286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1634/theoncologist.11-10-1089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021610344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2826.2004.01240.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023043814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35079135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023448616", 
          "https://doi.org/10.1038/35079135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35079135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023448616", 
          "https://doi.org/10.1038/35079135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2164/jandrol.05144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026050409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mce.2006.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029788073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/88.23.1731", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031827515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.anireprosci.2006.09.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032307966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/jcs.00971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032552162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2003.11.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033072701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9440(10)63854-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033491824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yfrne.2005.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034238135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yfrne.2005.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034238135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10585-005-8186-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034800900", 
          "https://doi.org/10.1007/s10585-005-8186-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10585-005-8186-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034800900", 
          "https://doi.org/10.1007/s10585-005-8186-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00432-003-0469-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037539832", 
          "https://doi.org/10.1007/s00432-003-0469-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00432-003-0469-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037539832", 
          "https://doi.org/10.1007/s00432-003-0469-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2004-1418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038348801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2826.2006.01420.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040442467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2826.2006.01420.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040442467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fertnstert.2005.11.044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041593546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa035322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043966004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2005.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044342081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2005.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044342081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djk053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046632299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2004.01.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047162938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.20357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047418171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1834399100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048763829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-1519-02", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050444522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/bbrc.2001.5470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050834212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01621459.1958.10501452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058299418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/62.2.269", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059418425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2004-0431", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064246798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2004-0836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064246960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2004-1353", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064247167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2005-1261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064247752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2006-0117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064247942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2007-0207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064248576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2002-021235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064286336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2005-1468", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064288679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jcem.87.5.8626", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064325235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aoms/1177728726", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064401506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074896144", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077138936", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083105760", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-12", 
    "datePublishedReg": "2007-12-01", 
    "description": "BACKGROUND: Kisspeptins and their G-protein coupled receptor, GPR54 are required for GnRH release and have been associated with anti-metastatic tumour cell behaviour in model systems. The latter might suggest that their overexpression would be associated with a better prognosis in cancer. However, kisspeptin/GPR54 interactions (autocrine, paracrine, and/or endocrine) could also impact tumour behaviour in a negative manner. Here, for the first time, we associate the immunoreactivity of the kisspeptin/GPR54 ligand-receptor pair with favourable prognosis in a large cohort of ovarian carcinomas.\nMETHODS: Immunohistochemical analysis for kisspeptin and GPR54 was performed on a tissue microarray (TMA) consisting of 518 early stage ovarian carcinomas, all with linked clinical outcome data. The TMA was scored using a staining intensity scale of 0 (negative), +1 (mild-moderate), and +2 (strong). Strong staining cases were considered either kisspeptin or GPR54 positive and designated as 1, while all other cases were considered negative and designated 0. All statistical analysis was conducted using two-sided tests and a p value equal to or less than 0.05 was considered significant.\nRESULTS: Kisspeptin and GPR54 immunoreactive cases show a favourable prognosis in univariable disease specific survival (p = 0.0023, p = 0.0092), as well as in overall survival (p = 0.0006, p = 0.0002). Furthermore, kisspeptin is an independent marker for favourable prognosis as determined by multivariable disease specific (p = 0.0046) and overall survival analysis (p = 0.0170), while GPR54 is an independent marker for overall survival only (p = 0.0303). Both kisspeptin positive and GPR54 positive cases are strongly associated with the ovarian carcinoma clear cell subtype (p < 0.0001, p < 0.0001), and GPR54 is significantly associated with favourable prognosis in overall survival within the clear cell subtype (p = 0.0102).\nCONCLUSION: Kisspeptin and GPR54 immunoreactivity are significantly associated with favourable prognosis in both disease specific and overall survival, as well as being significantly associated with the clear cell ovarian carcinoma subtype, thereby creating the first independent prognostic biomarkers specific for ovarian clear cell carcinomas.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1741-7015-5-33", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1032885", 
        "issn": [
          "1741-7015"
        ], 
        "name": "BMC Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "Kisspeptin and GPR54 immunoreactivity in a cohort of 518 patients defines favourable prognosis and clear cell subtype in ovarian carcinoma", 
    "pagination": "33", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "db4b6bd4fc06e1c7ee1cd32b0e8154222de7dbaa6d3e4ca2ff631577748e639f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18005407"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101190723"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1741-7015-5-33"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046037133"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1741-7015-5-33", 
      "https://app.dimensions.ai/details/publication/pub.1046037133"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:18", 
    "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_8659_00000515.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1741-7015-5-33"
  }
]
 

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.10.1186/1741-7015-5-33'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1741-7015-5-33'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1741-7015-5-33'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1741-7015-5-33'


 

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

388 TRIPLES      21 PREDICATES      97 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1741-7015-5-33 schema:about N24e9dba086094c799aa572022e12cae4
2 N28b3a8782d8c45ee8d4b165217e8cf4f
3 N403b8087fb5d4b059a6cf681184fba90
4 N50b56370a1a94fd9b62cc143d0ddde3a
5 N52dc6a2cbe9b42d8adbdc27b82456cd6
6 N79c4ae33e25d4fd784a5c8eccc799491
7 N79d4330090f74c82ae14a070de4b31a5
8 N972ad07cb37b4361bcdb16cbdae75afa
9 Na252040bfb8746a3ae9e18061e30851e
10 Na56602dcbf7a4d7f8ced39384bab5994
11 Nae454ddfa8fa41db8fbd73884716b485
12 Naee388c6979349609dad690686097368
13 Nb14f6eb2e182431981991907cb2dc51b
14 Nd023d7455a08463d97e51546715b9696
15 Ndbcb088bc17e42fba655b853e0fb4371
16 Nf0ecb060202b40568cda37fe0c1d6f7a
17 Nf38a984cb03d4c59849a3d0ba455fc10
18 Nf79057abeeec4738abafa2c00cd42168
19 anzsrc-for:11
20 anzsrc-for:1112
21 schema:author N8bbe206d6aa44edf8049a55eeff1e681
22 schema:citation sg:pub.10.1007/s00432-003-0469-z
23 sg:pub.10.1007/s10585-005-4180-0
24 sg:pub.10.1007/s10585-005-8186-4
25 sg:pub.10.1038/35079135
26 sg:pub.10.1038/modpathol.3800272
27 https://app.dimensions.ai/details/publication/pub.1074896144
28 https://app.dimensions.ai/details/publication/pub.1077138936
29 https://app.dimensions.ai/details/publication/pub.1083105760
30 https://doi.org/10.1002/ijc.20357
31 https://doi.org/10.1006/bbrc.2001.5470
32 https://doi.org/10.1016/j.anireprosci.2006.09.021
33 https://doi.org/10.1016/j.bbrc.2003.11.066
34 https://doi.org/10.1016/j.bbrc.2004.01.021
35 https://doi.org/10.1016/j.bbrc.2004.05.185
36 https://doi.org/10.1016/j.cmet.2005.04.001
37 https://doi.org/10.1016/j.ejca.2007.03.004
38 https://doi.org/10.1016/j.fertnstert.2005.11.044
39 https://doi.org/10.1016/j.mce.2006.07.002
40 https://doi.org/10.1016/j.yfrne.2005.10.001
41 https://doi.org/10.1016/s0002-9440(10)63854-0
42 https://doi.org/10.1056/nejmoa035322
43 https://doi.org/10.1073/pnas.0409330102
44 https://doi.org/10.1073/pnas.0704114104
45 https://doi.org/10.1073/pnas.1834399100
46 https://doi.org/10.1074/jbc.m102743200
47 https://doi.org/10.1074/jbc.m104847200
48 https://doi.org/10.1080/01621459.1958.10501452
49 https://doi.org/10.1093/annonc/mdl421
50 https://doi.org/10.1093/biomet/62.2.269
51 https://doi.org/10.1093/jnci/88.23.1731
52 https://doi.org/10.1093/jnci/djk053
53 https://doi.org/10.1111/j.1365-2826.2004.01240.x
54 https://doi.org/10.1111/j.1365-2826.2006.01420.x
55 https://doi.org/10.1113/jphysiol.2004.072298
56 https://doi.org/10.1152/ajpendo.00555.2005
57 https://doi.org/10.1158/1078-0432.ccr-1519-02
58 https://doi.org/10.1210/en.2004-0431
59 https://doi.org/10.1210/en.2004-0836
60 https://doi.org/10.1210/en.2004-1353
61 https://doi.org/10.1210/en.2005-1261
62 https://doi.org/10.1210/en.2006-0117
63 https://doi.org/10.1210/en.2007-0207
64 https://doi.org/10.1210/jc.2002-021235
65 https://doi.org/10.1210/jc.2004-1418
66 https://doi.org/10.1210/jc.2005-1468
67 https://doi.org/10.1210/jcem.87.5.8626
68 https://doi.org/10.1214/aoms/1177728726
69 https://doi.org/10.1242/jcs.00971
70 https://doi.org/10.1634/theoncologist.11-10-1089
71 https://doi.org/10.2164/jandrol.05144
72 schema:datePublished 2007-12
73 schema:datePublishedReg 2007-12-01
74 schema:description BACKGROUND: Kisspeptins and their G-protein coupled receptor, GPR54 are required for GnRH release and have been associated with anti-metastatic tumour cell behaviour in model systems. The latter might suggest that their overexpression would be associated with a better prognosis in cancer. However, kisspeptin/GPR54 interactions (autocrine, paracrine, and/or endocrine) could also impact tumour behaviour in a negative manner. Here, for the first time, we associate the immunoreactivity of the kisspeptin/GPR54 ligand-receptor pair with favourable prognosis in a large cohort of ovarian carcinomas. METHODS: Immunohistochemical analysis for kisspeptin and GPR54 was performed on a tissue microarray (TMA) consisting of 518 early stage ovarian carcinomas, all with linked clinical outcome data. The TMA was scored using a staining intensity scale of 0 (negative), +1 (mild-moderate), and +2 (strong). Strong staining cases were considered either kisspeptin or GPR54 positive and designated as 1, while all other cases were considered negative and designated 0. All statistical analysis was conducted using two-sided tests and a p value equal to or less than 0.05 was considered significant. RESULTS: Kisspeptin and GPR54 immunoreactive cases show a favourable prognosis in univariable disease specific survival (p = 0.0023, p = 0.0092), as well as in overall survival (p = 0.0006, p = 0.0002). Furthermore, kisspeptin is an independent marker for favourable prognosis as determined by multivariable disease specific (p = 0.0046) and overall survival analysis (p = 0.0170), while GPR54 is an independent marker for overall survival only (p = 0.0303). Both kisspeptin positive and GPR54 positive cases are strongly associated with the ovarian carcinoma clear cell subtype (p < 0.0001, p < 0.0001), and GPR54 is significantly associated with favourable prognosis in overall survival within the clear cell subtype (p = 0.0102). CONCLUSION: Kisspeptin and GPR54 immunoreactivity are significantly associated with favourable prognosis in both disease specific and overall survival, as well as being significantly associated with the clear cell ovarian carcinoma subtype, thereby creating the first independent prognostic biomarkers specific for ovarian clear cell carcinomas.
75 schema:genre research_article
76 schema:inLanguage en
77 schema:isAccessibleForFree true
78 schema:isPartOf Ndd08f08e8e8e49de89c300020a7b2cd5
79 Ne163eacacbc44864ad82a9e805bdd292
80 sg:journal.1032885
81 schema:name Kisspeptin and GPR54 immunoreactivity in a cohort of 518 patients defines favourable prognosis and clear cell subtype in ovarian carcinoma
82 schema:pagination 33
83 schema:productId N046009215a564a1e984c04cc5235066b
84 N2d997985305e451d9af17fa4d60e5acb
85 N2f090c15260c4dbfaba41672a45c6a23
86 Nad69405bd067449693c5b140de34ed33
87 Nfab591f165ac4f91ab8e99ec1152f1b6
88 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046037133
89 https://doi.org/10.1186/1741-7015-5-33
90 schema:sdDatePublished 2019-04-10T13:18
91 schema:sdLicense https://scigraph.springernature.com/explorer/license/
92 schema:sdPublisher N7c50c5a0752a4f92a51c5106f5426b6f
93 schema:url http://link.springer.com/10.1186%2F1741-7015-5-33
94 sgo:license sg:explorer/license/
95 sgo:sdDataset articles
96 rdf:type schema:ScholarlyArticle
97 N046009215a564a1e984c04cc5235066b schema:name readcube_id
98 schema:value db4b6bd4fc06e1c7ee1cd32b0e8154222de7dbaa6d3e4ca2ff631577748e639f
99 rdf:type schema:PropertyValue
100 N09f0028abc124ee0be96e5fd8a2faef7 rdf:first sg:person.011471122732.09
101 rdf:rest N8fb9e69c7636481594728a1f38b7b92a
102 N0d546687ca64421cb03b762f2debc265 rdf:first sg:person.01120560217.98
103 rdf:rest N09f0028abc124ee0be96e5fd8a2faef7
104 N24e9dba086094c799aa572022e12cae4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Kaplan-Meier Estimate
106 rdf:type schema:DefinedTerm
107 N28b3a8782d8c45ee8d4b165217e8cf4f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Proportional Hazards Models
109 rdf:type schema:DefinedTerm
110 N2d997985305e451d9af17fa4d60e5acb schema:name doi
111 schema:value 10.1186/1741-7015-5-33
112 rdf:type schema:PropertyValue
113 N2f090c15260c4dbfaba41672a45c6a23 schema:name pubmed_id
114 schema:value 18005407
115 rdf:type schema:PropertyValue
116 N403b8087fb5d4b059a6cf681184fba90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Prognosis
118 rdf:type schema:DefinedTerm
119 N50b56370a1a94fd9b62cc143d0ddde3a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Immunohistochemistry
121 rdf:type schema:DefinedTerm
122 N52dc6a2cbe9b42d8adbdc27b82456cd6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Humans
124 rdf:type schema:DefinedTerm
125 N558422bbca20404592001e7ca8e48098 rdf:first sg:person.01051076427.24
126 rdf:rest N7dd6cac1d3a0481e898f8e9c18afe0f2
127 N6f1346690f4b4505ba2ffb40cbfc5e9c rdf:first sg:person.01303045554.27
128 rdf:rest N94fde322d8d74b47b266a48882b15508
129 N79c4ae33e25d4fd784a5c8eccc799491 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Female
131 rdf:type schema:DefinedTerm
132 N79d4330090f74c82ae14a070de4b31a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Biomarkers, Tumor
134 rdf:type schema:DefinedTerm
135 N7c50c5a0752a4f92a51c5106f5426b6f schema:name Springer Nature - SN SciGraph project
136 rdf:type schema:Organization
137 N7dd6cac1d3a0481e898f8e9c18afe0f2 rdf:first sg:person.0762426613.24
138 rdf:rest Ne19d5a661f4e4256b75037d9151024a1
139 N8b2ce2c5d4714a62b9450116ea25a2bf rdf:first sg:person.01035062277.52
140 rdf:rest N0d546687ca64421cb03b762f2debc265
141 N8bbe206d6aa44edf8049a55eeff1e681 rdf:first sg:person.0714313413.19
142 rdf:rest N558422bbca20404592001e7ca8e48098
143 N8fb9e69c7636481594728a1f38b7b92a rdf:first sg:person.0627501735.90
144 rdf:rest Nc77692d1adef458aa813d4c7b782085f
145 N91a2091721884c07bb4877dd81eca79e rdf:first sg:person.01353016723.27
146 rdf:rest N8b2ce2c5d4714a62b9450116ea25a2bf
147 N94fde322d8d74b47b266a48882b15508 rdf:first sg:person.01344544575.21
148 rdf:rest N91a2091721884c07bb4877dd81eca79e
149 N972ad07cb37b4361bcdb16cbdae75afa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Disease
151 rdf:type schema:DefinedTerm
152 Na252040bfb8746a3ae9e18061e30851e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Adult
154 rdf:type schema:DefinedTerm
155 Na56602dcbf7a4d7f8ced39384bab5994 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Receptors, G-Protein-Coupled
157 rdf:type schema:DefinedTerm
158 Nad69405bd067449693c5b140de34ed33 schema:name nlm_unique_id
159 schema:value 101190723
160 rdf:type schema:PropertyValue
161 Nae454ddfa8fa41db8fbd73884716b485 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Receptors, Kisspeptin-1
163 rdf:type schema:DefinedTerm
164 Naee388c6979349609dad690686097368 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Tumor Suppressor Proteins
166 rdf:type schema:DefinedTerm
167 Nb14f6eb2e182431981991907cb2dc51b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Middle Aged
169 rdf:type schema:DefinedTerm
170 Nb50a5035f881422d8b29be9b48beaae1 rdf:first sg:person.0720022504.02
171 rdf:rest rdf:nil
172 Nc77692d1adef458aa813d4c7b782085f rdf:first sg:person.015140454124.62
173 rdf:rest Nb50a5035f881422d8b29be9b48beaae1
174 Nd023d7455a08463d97e51546715b9696 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Kisspeptins
176 rdf:type schema:DefinedTerm
177 Ndbcb088bc17e42fba655b853e0fb4371 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Aged
179 rdf:type schema:DefinedTerm
180 Ndd08f08e8e8e49de89c300020a7b2cd5 schema:volumeNumber 5
181 rdf:type schema:PublicationVolume
182 Ne163eacacbc44864ad82a9e805bdd292 schema:issueNumber 1
183 rdf:type schema:PublicationIssue
184 Ne19d5a661f4e4256b75037d9151024a1 rdf:first sg:person.0720633677.17
185 rdf:rest N6f1346690f4b4505ba2ffb40cbfc5e9c
186 Nf0ecb060202b40568cda37fe0c1d6f7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Aged, 80 and over
188 rdf:type schema:DefinedTerm
189 Nf38a984cb03d4c59849a3d0ba455fc10 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Ovarian Neoplasms
191 rdf:type schema:DefinedTerm
192 Nf79057abeeec4738abafa2c00cd42168 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
193 schema:name Cohort Studies
194 rdf:type schema:DefinedTerm
195 Nfab591f165ac4f91ab8e99ec1152f1b6 schema:name dimensions_id
196 schema:value pub.1046037133
197 rdf:type schema:PropertyValue
198 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
199 schema:name Medical and Health Sciences
200 rdf:type schema:DefinedTerm
201 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
202 schema:name Oncology and Carcinogenesis
203 rdf:type schema:DefinedTerm
204 sg:journal.1032885 schema:issn 1741-7015
205 schema:name BMC Medicine
206 rdf:type schema:Periodical
207 sg:person.01035062277.52 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
208 schema:familyName Mehl
209 schema:givenName Erika
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035062277.52
211 rdf:type schema:Person
212 sg:person.01051076427.24 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
213 schema:familyName Klausen
214 schema:givenName Christian
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051076427.24
216 rdf:type schema:Person
217 sg:person.01120560217.98 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
218 schema:familyName Gilks
219 schema:givenName C Blake
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120560217.98
221 rdf:type schema:Person
222 sg:person.011471122732.09 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
223 schema:familyName Leung
224 schema:givenName Peter
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011471122732.09
226 rdf:type schema:Person
227 sg:person.01303045554.27 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
228 schema:familyName McKinney
229 schema:givenName Steven
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303045554.27
231 rdf:type schema:Person
232 sg:person.01344544575.21 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
233 schema:familyName Santos
234 schema:givenName Jennifer L
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344544575.21
236 rdf:type schema:Person
237 sg:person.01353016723.27 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
238 schema:familyName Kenney
239 schema:givenName Challayne
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353016723.27
241 rdf:type schema:Person
242 sg:person.015140454124.62 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
243 schema:familyName Huntsman
244 schema:givenName David G
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015140454124.62
246 rdf:type schema:Person
247 sg:person.0627501735.90 schema:affiliation https://www.grid.ac/institutes/grid.248762.d
248 schema:familyName Swenerton
249 schema:givenName Ken
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627501735.90
251 rdf:type schema:Person
252 sg:person.0714313413.19 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
253 schema:familyName Prentice
254 schema:givenName Leah M
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714313413.19
256 rdf:type schema:Person
257 sg:person.0720022504.02 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
258 schema:familyName Aparicio
259 schema:givenName Samuel AJ
260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720022504.02
261 rdf:type schema:Person
262 sg:person.0720633677.17 schema:affiliation https://www.grid.ac/institutes/grid.6363.0
263 schema:familyName Köbel
264 schema:givenName Martin
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720633677.17
266 rdf:type schema:Person
267 sg:person.0762426613.24 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
268 schema:familyName Kalloger
269 schema:givenName Steve
270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762426613.24
271 rdf:type schema:Person
272 sg:pub.10.1007/s00432-003-0469-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1037539832
273 https://doi.org/10.1007/s00432-003-0469-z
274 rdf:type schema:CreativeWork
275 sg:pub.10.1007/s10585-005-4180-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012622481
276 https://doi.org/10.1007/s10585-005-4180-0
277 rdf:type schema:CreativeWork
278 sg:pub.10.1007/s10585-005-8186-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034800900
279 https://doi.org/10.1007/s10585-005-8186-4
280 rdf:type schema:CreativeWork
281 sg:pub.10.1038/35079135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023448616
282 https://doi.org/10.1038/35079135
283 rdf:type schema:CreativeWork
284 sg:pub.10.1038/modpathol.3800272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009834201
285 https://doi.org/10.1038/modpathol.3800272
286 rdf:type schema:CreativeWork
287 https://app.dimensions.ai/details/publication/pub.1074896144 schema:CreativeWork
288 https://app.dimensions.ai/details/publication/pub.1077138936 schema:CreativeWork
289 https://app.dimensions.ai/details/publication/pub.1083105760 schema:CreativeWork
290 https://doi.org/10.1002/ijc.20357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047418171
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1006/bbrc.2001.5470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050834212
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1016/j.anireprosci.2006.09.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032307966
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1016/j.bbrc.2003.11.066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033072701
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1016/j.bbrc.2004.01.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047162938
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1016/j.bbrc.2004.05.185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015980739
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1016/j.cmet.2005.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044342081
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1016/j.ejca.2007.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018815772
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1016/j.fertnstert.2005.11.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041593546
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1016/j.mce.2006.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029788073
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1016/j.yfrne.2005.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034238135
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1016/s0002-9440(10)63854-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033491824
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1056/nejmoa035322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043966004
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1073/pnas.0409330102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016841222
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1073/pnas.0704114104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001390730
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1073/pnas.1834399100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048763829
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1074/jbc.m102743200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011311698
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1074/jbc.m104847200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014863693
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1080/01621459.1958.10501452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058299418
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1093/annonc/mdl421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010369320
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1093/biomet/62.2.269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059418425
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1093/jnci/88.23.1731 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031827515
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1093/jnci/djk053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046632299
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1111/j.1365-2826.2004.01240.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023043814
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1111/j.1365-2826.2006.01420.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040442467
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1113/jphysiol.2004.072298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009988089
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1152/ajpendo.00555.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019222286
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1158/1078-0432.ccr-1519-02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050444522
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1210/en.2004-0431 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064246798
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1210/en.2004-0836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064246960
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1210/en.2004-1353 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064247167
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1210/en.2005-1261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064247752
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1210/en.2006-0117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064247942
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1210/en.2007-0207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064248576
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1210/jc.2002-021235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064286336
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1210/jc.2004-1418 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038348801
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1210/jc.2005-1468 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064288679
363 rdf:type schema:CreativeWork
364 https://doi.org/10.1210/jcem.87.5.8626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064325235
365 rdf:type schema:CreativeWork
366 https://doi.org/10.1214/aoms/1177728726 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064401506
367 rdf:type schema:CreativeWork
368 https://doi.org/10.1242/jcs.00971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032552162
369 rdf:type schema:CreativeWork
370 https://doi.org/10.1634/theoncologist.11-10-1089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021610344
371 rdf:type schema:CreativeWork
372 https://doi.org/10.2164/jandrol.05144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026050409
373 rdf:type schema:CreativeWork
374 https://www.grid.ac/institutes/grid.17091.3e schema:alternateName University of British Columbia
375 schema:name Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada
376 Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada
377 Molecular Oncology and Breast Cancer Program, British Columbia Cancer Research Centre and Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada
378 rdf:type schema:Organization
379 https://www.grid.ac/institutes/grid.248762.d schema:alternateName BC Cancer Agency
380 schema:name Cheryl Brown Ovarian Cancer Outcomes Unit, Department of Gynaecologic Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
381 Department of Gynaecology, Vancouver General Hospital, Vancouver, British Columbia, Canada
382 Department of Medical Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
383 Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
384 rdf:type schema:Organization
385 https://www.grid.ac/institutes/grid.6363.0 schema:alternateName Charité
386 schema:name Genetic Pathology Evaluation Centre of the Prostate Centre and Departments of Pathology of Vancouver Coastal Health Research Institute, British Columbia Cancer Agency, and University of British Columbia, Vancouver, British Columbia, Canada
387 Institute of Pathology, Charité Hospital, Berlin, Germany
388 rdf:type schema:Organization
 




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


...