Correlation of c-MET Expression with PD-L1 Expression in Metastatic Clear Cell Renal Cell Carcinoma Treated by Sunitinib First-Line Therapy View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-08

AUTHORS

Solène-Florence Kammerer-Jacquet, Sarah Medane, Karim Bensalah, Jean-Christophe Bernhard, Mokrane Yacoub, Frantz Dupuis, Alain Ravaud, Grégory Verhoest, Romain Mathieu, Benoit Peyronnet, Angélique Brunot, Brigitte Laguerre, Alexandra Lespagnol, Jean Mosser, Frédéric Dugay, Marc-Antoine Belaud-Rotureau, Nathalie Rioux-Leclercq

ABSTRACT

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is highly metastatic. Cabozantinib, an anti-angiogenic tyrosine kinase inhibitor that targets c-MET, provided interesting results in metastatic ccRCC treatment. OBJECTIVE: To understand better the role of c-MET in ccRCC, we assessed its status in a population of patients with metastatic ccRCC. PATIENTS AND METHODS: For this purpose, tumor samples were analyzed for c-MET expression by immunohistochemistry (IHC), for c-MET copy number alterations by fluorescence in situ hybridization (FISH), and for c-MET mutations by next generation sequencing (NGS) in a retrospective cohort of 90 primary ccRCC of patients with metastases treated by first-line sunitinib. The expression of c-MET was correlated with pathological, immunohistochemical (VEGFA, CAIX, PD-L1), clinical, and molecular criteria (VHL status) by univariate and multivariate analyses and to clinical outcome using Kaplan-Meier curves compared by log-rank test. RESULTS: Of ccRCC, 31.1% had low c-MET expression (absent to weak intensity by IHC) versus 68.9% with high expression (moderate to strong intensity). High expression of c-MET was associated with a gain in FISH analysis (p=0.0284) without amplification. No mutations were detected in NGS. Moreover, high c-MET expression was associated with lymph node metastases (p=0.004), sarcomatoid component (p=0.029), VEGFA (p=0.037), and PD-L1 (p=0.001) overexpression, the only factor that remained independently associated (p<0.001) after logistic regression. No difference was observed in clinical outcomes. CONCLUSION: This study is the first to analyse c-MET status in metastatic ccRCC. The high expression of c-MET in the majority of ccRCC and its independent association with PD-L1 expression, may suggest a potential benefit from combining c-MET inhibitors and targeted immunotherapy. More... »

PAGES

487-494

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11523-017-0498-1

DOI

http://dx.doi.org/10.1007/s11523-017-0498-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085600288

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28550387


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "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": "Antineoplastic Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "B7-H1 Antigen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Renal Cell", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Dosage", 
        "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": "In Situ Hybridization, Fluorescence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Indoles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proto-Oncogene Proteins c-met", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pyrroles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sunitinib", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service d\u2019Anatomie et Cytologie Pathologiques, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kammerer-Jacquet", 
        "givenName": "Sol\u00e8ne-Florence", 
        "id": "sg:person.016063332061.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016063332061.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service d\u2019Anatomie et Cytologie Pathologiques, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Medane", 
        "givenName": "Sarah", 
        "id": "sg:person.014602353405.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014602353405.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, CHU de Rennes, Service d\u2019Urologie, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bensalah", 
        "givenName": "Karim", 
        "id": "sg:person.01070707443.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070707443.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Pellegrin", 
          "id": "https://www.grid.ac/institutes/grid.414263.6", 
          "name": [
            "Service d\u2019Urologie, CHU Pellegrin, Bordeaux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bernhard", 
        "givenName": "Jean-Christophe", 
        "id": "sg:person.01134006007.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134006007.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Pellegrin", 
          "id": "https://www.grid.ac/institutes/grid.414263.6", 
          "name": [
            "Service d\u2019Anatomie et Cytologie Pathologiques, CHU Pellegrin, Bordeaux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yacoub", 
        "givenName": "Mokrane", 
        "id": "sg:person.01137470526.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137470526.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Pellegrin", 
          "id": "https://www.grid.ac/institutes/grid.414263.6", 
          "name": [
            "Service d\u2019Anatomie et Cytologie Pathologiques, CHU Pellegrin, Bordeaux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dupuis", 
        "givenName": "Frantz", 
        "id": "sg:person.010330542207.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010330542207.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Bordeaux", 
          "id": "https://www.grid.ac/institutes/grid.42399.35", 
          "name": [
            "Service d\u2019Oncologie M\u00e9dicale, CHU Saint-Andr\u00e9, Bordeaux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ravaud", 
        "givenName": "Alain", 
        "id": "sg:person.01077045011.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077045011.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, CHU de Rennes, Service d\u2019Urologie, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Verhoest", 
        "givenName": "Gr\u00e9gory", 
        "id": "sg:person.01240415344.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240415344.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, CHU de Rennes, Service d\u2019Urologie, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mathieu", 
        "givenName": "Romain", 
        "id": "sg:person.01354643744.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354643744.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, CHU de Rennes, Service d\u2019Urologie, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peyronnet", 
        "givenName": "Benoit", 
        "id": "sg:person.0705654524.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705654524.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Rennes 1", 
          "id": "https://www.grid.ac/institutes/grid.410368.8", 
          "name": [
            "Centre Eug\u00e8ne Marquis, Service d\u2019Oncologie M\u00e9dicale, Universit\u00e9 de Rennes 1, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brunot", 
        "givenName": "Ang\u00e9lique", 
        "id": "sg:person.01224360560.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224360560.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Rennes 1", 
          "id": "https://www.grid.ac/institutes/grid.410368.8", 
          "name": [
            "Centre Eug\u00e8ne Marquis, Service d\u2019Oncologie M\u00e9dicale, Universit\u00e9 de Rennes 1, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laguerre", 
        "givenName": "Brigitte", 
        "id": "sg:person.01171673663.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171673663.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service de G\u00e9n\u00e9tique Somatique des Cancers, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lespagnol", 
        "givenName": "Alexandra", 
        "id": "sg:person.0610555132.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610555132.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service de G\u00e9n\u00e9tique Somatique des Cancers, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mosser", 
        "givenName": "Jean", 
        "id": "sg:person.01321017632.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321017632.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service de Cytog\u00e9n\u00e9tique et Biologie cellulaire, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dugay", 
        "givenName": "Fr\u00e9d\u00e9ric", 
        "id": "sg:person.01346327574.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346327574.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service de Cytog\u00e9n\u00e9tique et Biologie cellulaire, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Belaud-Rotureau", 
        "givenName": "Marc-Antoine", 
        "id": "sg:person.01107100257.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107100257.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e9 de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service d\u2019Anatomie et Cytologie Pathologiques, F-35042, Rennes, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rioux-Leclercq", 
        "givenName": "Nathalie", 
        "id": "sg:person.01123664106.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123664106.53"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/cncr.22463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003608274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ctrv.2007.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005961010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibs.2011.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006144614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc3844", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009041579", 
          "https://doi.org/10.1038/nrc3844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6605298", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009536049", 
          "https://doi.org/10.1038/sj.bjc.6605298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6605298", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009536049", 
          "https://doi.org/10.1038/sj.bjc.6605298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1510016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010957301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(15)00377-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011171707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.30429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011779317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.26540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011840715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-10-0489", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012978908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2006.08.076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016119055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0136023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016977116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc3183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017666327", 
          "https://doi.org/10.1038/nrc3183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.13540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019392464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.3700664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019648480", 
          "https://doi.org/10.1038/labinvest.3700664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1510665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019970557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humpath.2015.06.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020467890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humpath.2006.08.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031724807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2011.06.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032436422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2015.343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032987342", 
          "https://doi.org/10.1038/onc.2015.343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-13-2173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035345529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.23496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038619114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mou.0000135078.04721.f5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039594705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mou.0000135078.04721.f5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039594705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ppo.0b013e31829e3c9a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041399281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ppo.0b013e31829e3c9a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041399281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1535-6108(03)00085-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044383357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdu259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046531715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4081/oncol.2016.295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048499236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2015.233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051760178", 
          "https://doi.org/10.1038/onc.2015.233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-015-4903-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052780297", 
          "https://doi.org/10.1245/s10434-015-4903-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.lungcan.2014.11.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052844120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mds463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052920013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cbt.10.7.13247", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072292311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075234197", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clgc.2017.01.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083412013"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-08", 
    "datePublishedReg": "2017-08-01", 
    "description": "BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is highly metastatic. Cabozantinib, an anti-angiogenic tyrosine kinase inhibitor that targets c-MET, provided interesting results in metastatic ccRCC treatment.\nOBJECTIVE: To understand better the role of c-MET in ccRCC, we assessed its status in a population of patients with metastatic ccRCC.\nPATIENTS AND METHODS: For this purpose, tumor samples were analyzed for c-MET expression by immunohistochemistry (IHC), for c-MET copy number alterations by fluorescence in situ hybridization (FISH), and for c-MET mutations by next generation sequencing (NGS) in a retrospective cohort of 90 primary ccRCC of patients with metastases treated by first-line sunitinib. The expression of c-MET was correlated with pathological, immunohistochemical (VEGFA, CAIX, PD-L1), clinical, and molecular criteria (VHL status) by univariate and multivariate analyses and to clinical outcome using Kaplan-Meier curves compared by log-rank test.\nRESULTS: Of ccRCC, 31.1% had low c-MET expression (absent to weak intensity by IHC) versus 68.9% with high expression (moderate to strong intensity). High expression of c-MET was associated with a gain in FISH analysis (p=0.0284) without amplification. No mutations were detected in NGS. Moreover, high c-MET expression was associated with lymph node metastases (p=0.004), sarcomatoid component (p=0.029), VEGFA (p=0.037), and PD-L1 (p=0.001) overexpression, the only factor that remained independently associated (p<0.001) after logistic regression. No difference was observed in clinical outcomes.\nCONCLUSION: This study is the first to analyse c-MET status in metastatic ccRCC. The high expression of c-MET in the majority of ccRCC and its independent association with PD-L1 expression, may suggest a potential benefit from combining c-MET inhibitors and targeted immunotherapy.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11523-017-0498-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1036678", 
        "issn": [
          "1776-2596", 
          "1776-260X"
        ], 
        "name": "Targeted Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Correlation of c-MET Expression with PD-L1 Expression in Metastatic Clear Cell Renal Cell Carcinoma Treated by Sunitinib First-Line Therapy", 
    "pagination": "487-494", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "dea2eb2528f68099dfc3e76e130a96487207470aec2b5b0608d8c21dde404028"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28550387"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101270595"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11523-017-0498-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1085600288"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11523-017-0498-1", 
      "https://app.dimensions.ai/details/publication/pub.1085600288"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:34", 
    "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/v90/0000000349_0000000349/records_113661_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11523-017-0498-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11523-017-0498-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11523-017-0498-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11523-017-0498-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11523-017-0498-1'


 

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

390 TRIPLES      21 PREDICATES      81 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11523-017-0498-1 schema:about N036270df76604da9bc23b1d4f0f3368a
2 N2094c29c91a44468a7ac54ad2563f3a9
3 N2a8c9ab7fce744f8a91b0d9431efb2a6
4 N320caea7a0904bf2bfb82765684d6ee0
5 N3cb7545b89984acc8e75eaeb4b421b68
6 N4e6e88bed89a44fc9a27dc60f6827153
7 N562eb1ae075d4b6591c2c2210d79e27c
8 N63b6ba4f9d8540ac91ef489b530a5318
9 N77d89d54c43f43669dd45f7593302f45
10 N8c70c7ad31224187a3c60b417a8a7696
11 N9cc2ac4fd53549e5afeabf06fbcc6ac8
12 Na4f8344577444658b9859935c83e1244
13 Na6c8fcb3defa4019bdcf47b90bae5c71
14 Nb55a84f34b1a4700a1d83673d5f033df
15 Nb6d0b29134f44861bea94381b1eb2dfa
16 Nb851e26c5a424eb6a8bf40312cf1b60e
17 Nde6fd8ee072d46e8bb69533afddbb49e
18 Nf0890645c4e940dba222012880a82b61
19 anzsrc-for:06
20 anzsrc-for:0604
21 schema:author N452cd67aeab24c1ea27bf4412d7ce68c
22 schema:citation sg:pub.10.1038/labinvest.3700664
23 sg:pub.10.1038/nrc3183
24 sg:pub.10.1038/nrc3844
25 sg:pub.10.1038/onc.2015.233
26 sg:pub.10.1038/onc.2015.343
27 sg:pub.10.1038/sj.bjc.6605298
28 sg:pub.10.1245/s10434-015-4903-7
29 https://app.dimensions.ai/details/publication/pub.1075234197
30 https://doi.org/10.1002/cncr.22463
31 https://doi.org/10.1002/cncr.26540
32 https://doi.org/10.1002/ijc.23496
33 https://doi.org/10.1002/ijc.30429
34 https://doi.org/10.1016/j.clgc.2017.01.021
35 https://doi.org/10.1016/j.ctrv.2007.12.001
36 https://doi.org/10.1016/j.eururo.2011.06.049
37 https://doi.org/10.1016/j.humpath.2006.08.022
38 https://doi.org/10.1016/j.humpath.2015.06.025
39 https://doi.org/10.1016/j.juro.2006.08.076
40 https://doi.org/10.1016/j.lungcan.2014.11.018
41 https://doi.org/10.1016/j.tibs.2011.03.006
42 https://doi.org/10.1016/s1470-2045(15)00377-0
43 https://doi.org/10.1016/s1535-6108(03)00085-0
44 https://doi.org/10.1056/nejmoa1510016
45 https://doi.org/10.1056/nejmoa1510665
46 https://doi.org/10.1093/annonc/mds463
47 https://doi.org/10.1093/annonc/mdu259
48 https://doi.org/10.1097/01.mou.0000135078.04721.f5
49 https://doi.org/10.1097/ppo.0b013e31829e3c9a
50 https://doi.org/10.1158/0008-5472.can-10-0489
51 https://doi.org/10.1158/1078-0432.ccr-13-2173
52 https://doi.org/10.1371/journal.pone.0136023
53 https://doi.org/10.18632/oncotarget.13540
54 https://doi.org/10.4081/oncol.2016.295
55 https://doi.org/10.4161/cbt.10.7.13247
56 schema:datePublished 2017-08
57 schema:datePublishedReg 2017-08-01
58 schema:description BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is highly metastatic. Cabozantinib, an anti-angiogenic tyrosine kinase inhibitor that targets c-MET, provided interesting results in metastatic ccRCC treatment. OBJECTIVE: To understand better the role of c-MET in ccRCC, we assessed its status in a population of patients with metastatic ccRCC. PATIENTS AND METHODS: For this purpose, tumor samples were analyzed for c-MET expression by immunohistochemistry (IHC), for c-MET copy number alterations by fluorescence in situ hybridization (FISH), and for c-MET mutations by next generation sequencing (NGS) in a retrospective cohort of 90 primary ccRCC of patients with metastases treated by first-line sunitinib. The expression of c-MET was correlated with pathological, immunohistochemical (VEGFA, CAIX, PD-L1), clinical, and molecular criteria (VHL status) by univariate and multivariate analyses and to clinical outcome using Kaplan-Meier curves compared by log-rank test. RESULTS: Of ccRCC, 31.1% had low c-MET expression (absent to weak intensity by IHC) versus 68.9% with high expression (moderate to strong intensity). High expression of c-MET was associated with a gain in FISH analysis (p=0.0284) without amplification. No mutations were detected in NGS. Moreover, high c-MET expression was associated with lymph node metastases (p=0.004), sarcomatoid component (p=0.029), VEGFA (p=0.037), and PD-L1 (p=0.001) overexpression, the only factor that remained independently associated (p<0.001) after logistic regression. No difference was observed in clinical outcomes. CONCLUSION: This study is the first to analyse c-MET status in metastatic ccRCC. The high expression of c-MET in the majority of ccRCC and its independent association with PD-L1 expression, may suggest a potential benefit from combining c-MET inhibitors and targeted immunotherapy.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree true
62 schema:isPartOf N21e7ea5b13884932ac1d2e55de777f3d
63 Nceccaa3cf4c742f4ac1b751c7b2a51d1
64 sg:journal.1036678
65 schema:name Correlation of c-MET Expression with PD-L1 Expression in Metastatic Clear Cell Renal Cell Carcinoma Treated by Sunitinib First-Line Therapy
66 schema:pagination 487-494
67 schema:productId N3114b987115947b9b4b91c7f83bacba9
68 N5f09ce42acf6430181ef192b89ed2f00
69 N9dbe8dccb4d14fbca481d13efeef4124
70 N9f5eb1c7378642d4aeb4b5ea51833230
71 Nea0073f138c44f89bd642d79f1d3a41e
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085600288
73 https://doi.org/10.1007/s11523-017-0498-1
74 schema:sdDatePublished 2019-04-11T10:34
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher N8b2c3c7f24e84c61b901ca0cea10bc04
77 schema:url https://link.springer.com/10.1007%2Fs11523-017-0498-1
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N036270df76604da9bc23b1d4f0f3368a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Male
83 rdf:type schema:DefinedTerm
84 N0a541f9f2c2941d5b060fd18f5c9d8a3 rdf:first sg:person.010330542207.24
85 rdf:rest N3ef4ad72d3ca49009e1e2d640c67e7da
86 N0df94ecdfcc947298874310f23f82d7f rdf:first sg:person.01346327574.68
87 rdf:rest Nab0c1dfac8204a868daa0949133a67db
88 N1182456dacc3488f8afd72baa6c32c9d rdf:first sg:person.01123664106.53
89 rdf:rest rdf:nil
90 N1811d2c60aa040a39e69563daa213045 schema:name Université de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service de Génétique Somatique des Cancers, F-35042, Rennes, France
91 rdf:type schema:Organization
92 N2094c29c91a44468a7ac54ad2563f3a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Aged, 80 and over
94 rdf:type schema:DefinedTerm
95 N21e7ea5b13884932ac1d2e55de777f3d schema:volumeNumber 12
96 rdf:type schema:PublicationVolume
97 N25d7631c676b4459b177efe7939f4b41 schema:name Université de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service d’Anatomie et Cytologie Pathologiques, F-35042, Rennes, France
98 rdf:type schema:Organization
99 N2a8c9ab7fce744f8a91b0d9431efb2a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Adult
101 rdf:type schema:DefinedTerm
102 N3114b987115947b9b4b91c7f83bacba9 schema:name pubmed_id
103 schema:value 28550387
104 rdf:type schema:PropertyValue
105 N31a9e7a34a914b10a0bfa59cf6e4cc02 rdf:first sg:person.01354643744.48
106 rdf:rest Neb272a200a384df399c1f3a06b4500bf
107 N320caea7a0904bf2bfb82765684d6ee0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Pyrroles
109 rdf:type schema:DefinedTerm
110 N38e79c3ddae84f5e96934ebb5934151e rdf:first sg:person.01070707443.14
111 rdf:rest Ncc72591a8b9f468aa34eabe1492b92f8
112 N3cb7545b89984acc8e75eaeb4b421b68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Antineoplastic Agents
114 rdf:type schema:DefinedTerm
115 N3ef4ad72d3ca49009e1e2d640c67e7da rdf:first sg:person.01077045011.19
116 rdf:rest N7a24fbf3fdff4ee59231ce17aba6dcf5
117 N452cd67aeab24c1ea27bf4412d7ce68c rdf:first sg:person.016063332061.01
118 rdf:rest N792d81e73d1d4ee2ab36e35e0fc77d89
119 N46b8aa2597c34933a11739e5ec4a0939 rdf:first sg:person.01137470526.10
120 rdf:rest N0a541f9f2c2941d5b060fd18f5c9d8a3
121 N4b2dbfa6c91c4f16bd2871ce36cb695f schema:name Université de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service de Cytogénétique et Biologie cellulaire, F-35042, Rennes, France
122 rdf:type schema:Organization
123 N4e6e88bed89a44fc9a27dc60f6827153 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Proto-Oncogene Proteins c-met
125 rdf:type schema:DefinedTerm
126 N562eb1ae075d4b6591c2c2210d79e27c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Indoles
128 rdf:type schema:DefinedTerm
129 N5723ff11a35844daa11e4c2c775a5e9d schema:name Université de Rennes 1, CHU de Rennes, Service d’Urologie, F-35042, Rennes, France
130 rdf:type schema:Organization
131 N5f09ce42acf6430181ef192b89ed2f00 schema:name doi
132 schema:value 10.1007/s11523-017-0498-1
133 rdf:type schema:PropertyValue
134 N63b6ba4f9d8540ac91ef489b530a5318 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Carcinoma, Renal Cell
136 rdf:type schema:DefinedTerm
137 N659f2cff4fac4c5399e06f9cfc6c6ecf schema:name Université de Rennes 1, CHU de Rennes, Service d’Urologie, F-35042, Rennes, France
138 rdf:type schema:Organization
139 N757adefec1d548d8a3f16c828856137c rdf:first sg:person.01171673663.25
140 rdf:rest Nd6a5e4bd65b541dd83093c4205ca38c6
141 N77d89d54c43f43669dd45f7593302f45 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name In Situ Hybridization, Fluorescence
143 rdf:type schema:DefinedTerm
144 N792d81e73d1d4ee2ab36e35e0fc77d89 rdf:first sg:person.014602353405.19
145 rdf:rest N38e79c3ddae84f5e96934ebb5934151e
146 N7a24fbf3fdff4ee59231ce17aba6dcf5 rdf:first sg:person.01240415344.22
147 rdf:rest N31a9e7a34a914b10a0bfa59cf6e4cc02
148 N87fa2dde430b4f05b55ac45210db1204 schema:name Université de Rennes 1, CHU de Rennes, Service d’Urologie, F-35042, Rennes, France
149 rdf:type schema:Organization
150 N8b2c3c7f24e84c61b901ca0cea10bc04 schema:name Springer Nature - SN SciGraph project
151 rdf:type schema:Organization
152 N8c70c7ad31224187a3c60b417a8a7696 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Middle Aged
154 rdf:type schema:DefinedTerm
155 N9cc2ac4fd53549e5afeabf06fbcc6ac8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Aged
157 rdf:type schema:DefinedTerm
158 N9dbe8dccb4d14fbca481d13efeef4124 schema:name readcube_id
159 schema:value dea2eb2528f68099dfc3e76e130a96487207470aec2b5b0608d8c21dde404028
160 rdf:type schema:PropertyValue
161 N9f5eb1c7378642d4aeb4b5ea51833230 schema:name dimensions_id
162 schema:value pub.1085600288
163 rdf:type schema:PropertyValue
164 Na4f8344577444658b9859935c83e1244 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name B7-H1 Antigen
166 rdf:type schema:DefinedTerm
167 Na5e3b018d49948a0ba8ed100a98599ff schema:name Université de Rennes 1, CHU de Rennes, Service d’Urologie, F-35042, Rennes, France
168 rdf:type schema:Organization
169 Na6c8fcb3defa4019bdcf47b90bae5c71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Sunitinib
171 rdf:type schema:DefinedTerm
172 Nab0c1dfac8204a868daa0949133a67db rdf:first sg:person.01107100257.32
173 rdf:rest N1182456dacc3488f8afd72baa6c32c9d
174 Nb55a84f34b1a4700a1d83673d5f033df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Female
176 rdf:type schema:DefinedTerm
177 Nb6d0b29134f44861bea94381b1eb2dfa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Gene Dosage
179 rdf:type schema:DefinedTerm
180 Nb851e26c5a424eb6a8bf40312cf1b60e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Prognosis
182 rdf:type schema:DefinedTerm
183 Nbd57f7cc17654239a92996ab3cfedb93 schema:name Université de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service de Génétique Somatique des Cancers, F-35042, Rennes, France
184 rdf:type schema:Organization
185 Ncc72591a8b9f468aa34eabe1492b92f8 rdf:first sg:person.01134006007.38
186 rdf:rest N46b8aa2597c34933a11739e5ec4a0939
187 Nceccaa3cf4c742f4ac1b751c7b2a51d1 schema:issueNumber 4
188 rdf:type schema:PublicationIssue
189 Nd1a6daa42a5c48bcba866b9f5021b15a schema:name Université de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service de Cytogénétique et Biologie cellulaire, F-35042, Rennes, France
190 rdf:type schema:Organization
191 Nd6a5e4bd65b541dd83093c4205ca38c6 rdf:first sg:person.0610555132.59
192 rdf:rest Nf423f5ba96364084be1147ac385b0af5
193 Nddfdf341e5ff49b4b4bc03748b9c63e4 schema:name Université de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service d’Anatomie et Cytologie Pathologiques, F-35042, Rennes, France
194 rdf:type schema:Organization
195 Nde6fd8ee072d46e8bb69533afddbb49e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
196 schema:name Humans
197 rdf:type schema:DefinedTerm
198 Ndf183c94c8d94fc1895608443c41cf6e schema:name Université de Rennes 1, UMR 6290-IGDR, Univ Bretagne Loire, CHU de Rennes, Service d’Anatomie et Cytologie Pathologiques, F-35042, Rennes, France
199 rdf:type schema:Organization
200 Ne1ce69bc5bc344b39af085830a6dd3a5 rdf:first sg:person.01224360560.83
201 rdf:rest N757adefec1d548d8a3f16c828856137c
202 Nea0073f138c44f89bd642d79f1d3a41e schema:name nlm_unique_id
203 schema:value 101270595
204 rdf:type schema:PropertyValue
205 Neb272a200a384df399c1f3a06b4500bf rdf:first sg:person.0705654524.55
206 rdf:rest Ne1ce69bc5bc344b39af085830a6dd3a5
207 Nf0890645c4e940dba222012880a82b61 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
208 schema:name Immunohistochemistry
209 rdf:type schema:DefinedTerm
210 Nf423f5ba96364084be1147ac385b0af5 rdf:first sg:person.01321017632.65
211 rdf:rest N0df94ecdfcc947298874310f23f82d7f
212 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
213 schema:name Biological Sciences
214 rdf:type schema:DefinedTerm
215 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
216 schema:name Genetics
217 rdf:type schema:DefinedTerm
218 sg:journal.1036678 schema:issn 1776-2596
219 1776-260X
220 schema:name Targeted Oncology
221 rdf:type schema:Periodical
222 sg:person.010330542207.24 schema:affiliation https://www.grid.ac/institutes/grid.414263.6
223 schema:familyName Dupuis
224 schema:givenName Frantz
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010330542207.24
226 rdf:type schema:Person
227 sg:person.01070707443.14 schema:affiliation N87fa2dde430b4f05b55ac45210db1204
228 schema:familyName Bensalah
229 schema:givenName Karim
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070707443.14
231 rdf:type schema:Person
232 sg:person.01077045011.19 schema:affiliation https://www.grid.ac/institutes/grid.42399.35
233 schema:familyName Ravaud
234 schema:givenName Alain
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077045011.19
236 rdf:type schema:Person
237 sg:person.01107100257.32 schema:affiliation N4b2dbfa6c91c4f16bd2871ce36cb695f
238 schema:familyName Belaud-Rotureau
239 schema:givenName Marc-Antoine
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107100257.32
241 rdf:type schema:Person
242 sg:person.01123664106.53 schema:affiliation N25d7631c676b4459b177efe7939f4b41
243 schema:familyName Rioux-Leclercq
244 schema:givenName Nathalie
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123664106.53
246 rdf:type schema:Person
247 sg:person.01134006007.38 schema:affiliation https://www.grid.ac/institutes/grid.414263.6
248 schema:familyName Bernhard
249 schema:givenName Jean-Christophe
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134006007.38
251 rdf:type schema:Person
252 sg:person.01137470526.10 schema:affiliation https://www.grid.ac/institutes/grid.414263.6
253 schema:familyName Yacoub
254 schema:givenName Mokrane
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137470526.10
256 rdf:type schema:Person
257 sg:person.01171673663.25 schema:affiliation https://www.grid.ac/institutes/grid.410368.8
258 schema:familyName Laguerre
259 schema:givenName Brigitte
260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171673663.25
261 rdf:type schema:Person
262 sg:person.01224360560.83 schema:affiliation https://www.grid.ac/institutes/grid.410368.8
263 schema:familyName Brunot
264 schema:givenName Angélique
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224360560.83
266 rdf:type schema:Person
267 sg:person.01240415344.22 schema:affiliation Na5e3b018d49948a0ba8ed100a98599ff
268 schema:familyName Verhoest
269 schema:givenName Grégory
270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240415344.22
271 rdf:type schema:Person
272 sg:person.01321017632.65 schema:affiliation Nbd57f7cc17654239a92996ab3cfedb93
273 schema:familyName Mosser
274 schema:givenName Jean
275 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321017632.65
276 rdf:type schema:Person
277 sg:person.01346327574.68 schema:affiliation Nd1a6daa42a5c48bcba866b9f5021b15a
278 schema:familyName Dugay
279 schema:givenName Frédéric
280 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346327574.68
281 rdf:type schema:Person
282 sg:person.01354643744.48 schema:affiliation N5723ff11a35844daa11e4c2c775a5e9d
283 schema:familyName Mathieu
284 schema:givenName Romain
285 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354643744.48
286 rdf:type schema:Person
287 sg:person.014602353405.19 schema:affiliation Nddfdf341e5ff49b4b4bc03748b9c63e4
288 schema:familyName Medane
289 schema:givenName Sarah
290 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014602353405.19
291 rdf:type schema:Person
292 sg:person.016063332061.01 schema:affiliation Ndf183c94c8d94fc1895608443c41cf6e
293 schema:familyName Kammerer-Jacquet
294 schema:givenName Solène-Florence
295 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016063332061.01
296 rdf:type schema:Person
297 sg:person.0610555132.59 schema:affiliation N1811d2c60aa040a39e69563daa213045
298 schema:familyName Lespagnol
299 schema:givenName Alexandra
300 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610555132.59
301 rdf:type schema:Person
302 sg:person.0705654524.55 schema:affiliation N659f2cff4fac4c5399e06f9cfc6c6ecf
303 schema:familyName Peyronnet
304 schema:givenName Benoit
305 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705654524.55
306 rdf:type schema:Person
307 sg:pub.10.1038/labinvest.3700664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019648480
308 https://doi.org/10.1038/labinvest.3700664
309 rdf:type schema:CreativeWork
310 sg:pub.10.1038/nrc3183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017666327
311 https://doi.org/10.1038/nrc3183
312 rdf:type schema:CreativeWork
313 sg:pub.10.1038/nrc3844 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009041579
314 https://doi.org/10.1038/nrc3844
315 rdf:type schema:CreativeWork
316 sg:pub.10.1038/onc.2015.233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051760178
317 https://doi.org/10.1038/onc.2015.233
318 rdf:type schema:CreativeWork
319 sg:pub.10.1038/onc.2015.343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032987342
320 https://doi.org/10.1038/onc.2015.343
321 rdf:type schema:CreativeWork
322 sg:pub.10.1038/sj.bjc.6605298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009536049
323 https://doi.org/10.1038/sj.bjc.6605298
324 rdf:type schema:CreativeWork
325 sg:pub.10.1245/s10434-015-4903-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052780297
326 https://doi.org/10.1245/s10434-015-4903-7
327 rdf:type schema:CreativeWork
328 https://app.dimensions.ai/details/publication/pub.1075234197 schema:CreativeWork
329 https://doi.org/10.1002/cncr.22463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003608274
330 rdf:type schema:CreativeWork
331 https://doi.org/10.1002/cncr.26540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011840715
332 rdf:type schema:CreativeWork
333 https://doi.org/10.1002/ijc.23496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038619114
334 rdf:type schema:CreativeWork
335 https://doi.org/10.1002/ijc.30429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011779317
336 rdf:type schema:CreativeWork
337 https://doi.org/10.1016/j.clgc.2017.01.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083412013
338 rdf:type schema:CreativeWork
339 https://doi.org/10.1016/j.ctrv.2007.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005961010
340 rdf:type schema:CreativeWork
341 https://doi.org/10.1016/j.eururo.2011.06.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032436422
342 rdf:type schema:CreativeWork
343 https://doi.org/10.1016/j.humpath.2006.08.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031724807
344 rdf:type schema:CreativeWork
345 https://doi.org/10.1016/j.humpath.2015.06.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020467890
346 rdf:type schema:CreativeWork
347 https://doi.org/10.1016/j.juro.2006.08.076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016119055
348 rdf:type schema:CreativeWork
349 https://doi.org/10.1016/j.lungcan.2014.11.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052844120
350 rdf:type schema:CreativeWork
351 https://doi.org/10.1016/j.tibs.2011.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006144614
352 rdf:type schema:CreativeWork
353 https://doi.org/10.1016/s1470-2045(15)00377-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011171707
354 rdf:type schema:CreativeWork
355 https://doi.org/10.1016/s1535-6108(03)00085-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044383357
356 rdf:type schema:CreativeWork
357 https://doi.org/10.1056/nejmoa1510016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010957301
358 rdf:type schema:CreativeWork
359 https://doi.org/10.1056/nejmoa1510665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019970557
360 rdf:type schema:CreativeWork
361 https://doi.org/10.1093/annonc/mds463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052920013
362 rdf:type schema:CreativeWork
363 https://doi.org/10.1093/annonc/mdu259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046531715
364 rdf:type schema:CreativeWork
365 https://doi.org/10.1097/01.mou.0000135078.04721.f5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039594705
366 rdf:type schema:CreativeWork
367 https://doi.org/10.1097/ppo.0b013e31829e3c9a schema:sameAs https://app.dimensions.ai/details/publication/pub.1041399281
368 rdf:type schema:CreativeWork
369 https://doi.org/10.1158/0008-5472.can-10-0489 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012978908
370 rdf:type schema:CreativeWork
371 https://doi.org/10.1158/1078-0432.ccr-13-2173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035345529
372 rdf:type schema:CreativeWork
373 https://doi.org/10.1371/journal.pone.0136023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016977116
374 rdf:type schema:CreativeWork
375 https://doi.org/10.18632/oncotarget.13540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019392464
376 rdf:type schema:CreativeWork
377 https://doi.org/10.4081/oncol.2016.295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048499236
378 rdf:type schema:CreativeWork
379 https://doi.org/10.4161/cbt.10.7.13247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072292311
380 rdf:type schema:CreativeWork
381 https://www.grid.ac/institutes/grid.410368.8 schema:alternateName University of Rennes 1
382 schema:name Centre Eugène Marquis, Service d’Oncologie Médicale, Université de Rennes 1, Rennes, France
383 rdf:type schema:Organization
384 https://www.grid.ac/institutes/grid.414263.6 schema:alternateName Hôpital Pellegrin
385 schema:name Service d’Anatomie et Cytologie Pathologiques, CHU Pellegrin, Bordeaux, France
386 Service d’Urologie, CHU Pellegrin, Bordeaux, France
387 rdf:type schema:Organization
388 https://www.grid.ac/institutes/grid.42399.35 schema:alternateName Centre Hospitalier Universitaire de Bordeaux
389 schema:name Service d’Oncologie Médicale, CHU Saint-André, Bordeaux, France
390 rdf:type schema:Organization
 




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


...