NDR2 kinase contributes to cell invasion and cytokinesis defects induced by the inactivation of RASSF1A tumor-suppressor gene in lung cancer ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Maureen Keller, Fatéméh Dubois, Sylvain Teulier, Alexandre P J Martin, Jérôme Levallet, Elodie Maille, Solenn Brosseau, Nicolas Elie, Alexander Hergovich, Emmanuel Bergot, Jacques Camonis, Gérard Zalcman, Guénaëlle Levallet

ABSTRACT

BACKGROUND: RASSF1A, a tumor suppressor gene, is frequently inactivated in lung cancer leading to a YAP-dependent epithelial-mesenchymal transition (EMT). Such effects are partly due to the inactivation of the anti-migratory RhoB GTPase via the inhibitory phosphorylation of GEF-H1, the GDP/GTP exchange factor for RhoB. However, the kinase responsible for RhoB/GEF-H1 inactivation in RASSF1A-depleted cells remained unknown. METHODS: NDR1/2 inactivation by siRNA or shRNA effects on epithelial-mesenchymal transition, invasion, xenograft formation and growth in SCID-/- Beige mice, apoptosis, proliferation, cytokinesis, YAP/TAZ activation were investigated upon RASSF1A loss in human bronchial epithelial cells (HBEC). RESULTS: We demonstrate here that depletion of the YAP-kinases NDR1/2 reverts migration and metastatic properties upon RASSF1A loss in HBEC. We show that NDR2 interacts directly with GEF-H1 (which contains the NDR phosphorylation consensus motif HXRXXS/T), leading to GEF-H1 phosphorylation. We further report that the RASSF1A/NDR2/GEF-H1/RhoB/YAP axis is involved in proper cytokinesis in human bronchial cells, since chromosome proper segregation are NDR-dependent upon RASSF1A or GEF-H1 loss in HBEC. CONCLUSION: To summarize, our data support a model in which, upon RASSF1A silencing, NDR2 gets activated, phosphorylates and inactivates GEF-H1, leading to RhoB inactivation. This cascade induced by RASSF1A loss in bronchial cells is responsible for metastasis properties, YAP activation and cytokinesis defects. More... »

PAGES

158

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13046-019-1145-8

DOI

http://dx.doi.org/10.1186/s13046-019-1145-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113380044

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30979377


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 de Caen Basse-Normandie", 
          "id": "https://www.grid.ac/institutes/grid.412043.0", 
          "name": [
            "Normandie University, UNICAEN, UMR 1086 INSERM, F-14032, Caen, France.", 
            "Normandie University, UNICAEN, UPRES-EA-2608, F-14032, Caen, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Keller", 
        "givenName": "Maureen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Caen", 
          "id": "https://www.grid.ac/institutes/grid.411149.8", 
          "name": [
            "Normandie University, UNICAEN, CEA, CNRS, ISTCT/CERVOxy group, GIP CYCERON, Avenue H.Becquerel- 14074, F-14000, Caen, France.", 
            "Service d'Anatomie et Cytologie Pathologique, CHU de Caen, F-14033, Caen, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dubois", 
        "givenName": "Fat\u00e9m\u00e9h", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 de Caen Basse-Normandie", 
          "id": "https://www.grid.ac/institutes/grid.412043.0", 
          "name": [
            "Normandie University, UNICAEN, CEA, CNRS, ISTCT/CERVOxy group, GIP CYCERON, Avenue H.Becquerel- 14074, F-14000, Caen, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Teulier", 
        "givenName": "Sylvain", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Curie", 
          "id": "https://www.grid.ac/institutes/grid.418596.7", 
          "name": [
            "U830 INSERM, \"G\u00e9n\u00e9tique et Biologie des cancers\" Centre de Recherche, Institut Curie, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martin", 
        "givenName": "Alexandre P J", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 de Caen Basse-Normandie", 
          "id": "https://www.grid.ac/institutes/grid.412043.0", 
          "name": [
            "Normandie University, UNICAEN, UPRES-EA-2608, F-14032, Caen, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Levallet", 
        "givenName": "J\u00e9r\u00f4me", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 de Caen Basse-Normandie", 
          "id": "https://www.grid.ac/institutes/grid.412043.0", 
          "name": [
            "Normandie University, UNICAEN, UMR 1086 INSERM, F-14032, Caen, France.", 
            "Normandie University, UNICAEN, UPRES-EA-2608, F-14032, Caen, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maille", 
        "givenName": "Elodie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 de Caen Basse-Normandie", 
          "id": "https://www.grid.ac/institutes/grid.412043.0", 
          "name": [
            "Normandie University, UNICAEN, UMR 1086 INSERM, F-14032, Caen, France.", 
            "Normandie University, UNICAEN, UPRES-EA-2608, F-14032, Caen, France.", 
            "Service d'oncologie thoracique, CIC 1425, H\u00f4pital Bichat-Claude Bernard, AP-HP, Universit\u00e9 Paris-Diderot, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brosseau", 
        "givenName": "Solenn", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 de Caen Basse-Normandie", 
          "id": "https://www.grid.ac/institutes/grid.412043.0", 
          "name": [
            "Normandie Univ, UNICAEN, SFR ICORE, Plateau CMABio3, F-14032, Caen, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Elie", 
        "givenName": "Nicolas", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University College London", 
          "id": "https://www.grid.ac/institutes/grid.83440.3b", 
          "name": [
            "University College London Cancer Institute, WC1E 6BT, London, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hergovich", 
        "givenName": "Alexander", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Caen", 
          "id": "https://www.grid.ac/institutes/grid.411149.8", 
          "name": [
            "Normandie University, UNICAEN, CEA, CNRS, ISTCT/CERVOxy group, GIP CYCERON, Avenue H.Becquerel- 14074, F-14000, Caen, France.", 
            "Service de Pneumologie-Oncologie thoracique, CHU de Caen, F-14033, Caen, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bergot", 
        "givenName": "Emmanuel", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Curie", 
          "id": "https://www.grid.ac/institutes/grid.418596.7", 
          "name": [
            "U830 INSERM, \"G\u00e9n\u00e9tique et Biologie des cancers\" Centre de Recherche, Institut Curie, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Camonis", 
        "givenName": "Jacques", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Curie", 
          "id": "https://www.grid.ac/institutes/grid.418596.7", 
          "name": [
            "U830 INSERM, \"G\u00e9n\u00e9tique et Biologie des cancers\" Centre de Recherche, Institut Curie, Paris, France.", 
            "Service d'oncologie thoracique, CIC 1425, H\u00f4pital Bichat-Claude Bernard, AP-HP, Universit\u00e9 Paris-Diderot, Paris, France."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zalcman", 
        "givenName": "G\u00e9rard", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Caen", 
          "id": "https://www.grid.ac/institutes/grid.411149.8", 
          "name": [
            "Normandie University, UNICAEN, CEA, CNRS, ISTCT/CERVOxy group, GIP CYCERON, Avenue H.Becquerel- 14074, F-14000, Caen, France. guenaelle.levallet@unicaen.fr.", 
            "Service d'Anatomie et Cytologie Pathologique, CHU de Caen, F-14033, Caen, France. guenaelle.levallet@unicaen.fr."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Levallet", 
        "givenName": "Gu\u00e9na\u00eblle", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1126/scisignal.aaa9227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000042495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.canlet.2011.10.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000111823"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.devcel.2014.01.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001097966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.25.22.10097-10110.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004319352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-08-4147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004361232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-11-2797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004789332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-11-2797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004789332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/ec.00129-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006642223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/emboj.2013.32", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006666392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1747-1028-6-19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007779442", 
          "https://doi.org/10.1186/1747-1028-6-19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.191502998", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012580984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms10186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013693978", 
          "https://doi.org/10.1038/ncomms10186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4939-6502-1_19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014682213", 
          "https://doi.org/10.1007/978-1-4939-6502-1_19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-09-1554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015850886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016419469", 
          "https://doi.org/10.1038/ncb1091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016419469", 
          "https://doi.org/10.1038/ncb1091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-15-1752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016665891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0067178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018244074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1091/mbc.e12-09-0661", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018833709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.9875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023186514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0136566", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023533888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024062538", 
          "https://doi.org/10.1038/ncb1140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024062538", 
          "https://doi.org/10.1038/ncb1140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/73432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024393583", 
          "https://doi.org/10.1038/73432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/73432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024393583", 
          "https://doi.org/10.1038/73432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.268185.115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024970141"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2045-3701-3-32", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033316501", 
          "https://doi.org/10.1186/2045-3701-3-32"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-06-3604", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033475390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1091/mbc.e13-06-0302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036893721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scisignal.2001570", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037449535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2012.06.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039287087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.27629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042617850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.devcel.2007.03.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043030516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1541-7786.mcr-11-0534", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043706386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1091/mbc.e11-08-0721", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044833937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2008.220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047494846", 
          "https://doi.org/10.1038/onc.2008.220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.83.8.2438", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048089140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bst20110619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051329205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bst20110619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051329205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.devcel.2012.06.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052437099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cdd.2008.108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052747736", 
          "https://doi.org/10.1038/cdd.2008.108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molcel.2016.05.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052977838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-15-1008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063215825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cam.28058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072291858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.10.12.15826", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072295933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/sgtp.29770", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072310949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.20833", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091604808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m117.808063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092069320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fnmol.2018.00066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101344344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40169-018-0202-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105578455", 
          "https://doi.org/10.1186/s40169-018-0202-9"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: RASSF1A, a tumor suppressor gene, is frequently inactivated in lung cancer leading to a YAP-dependent epithelial-mesenchymal transition (EMT). Such effects are partly due to the inactivation of the anti-migratory RhoB GTPase via the inhibitory phosphorylation of GEF-H1, the GDP/GTP exchange factor for RhoB. However, the kinase responsible for RhoB/GEF-H1 inactivation in RASSF1A-depleted cells remained unknown.\nMETHODS: NDR1/2 inactivation by siRNA or shRNA effects on epithelial-mesenchymal transition, invasion, xenograft formation and growth in SCID-/- Beige mice, apoptosis, proliferation, cytokinesis, YAP/TAZ activation were investigated upon RASSF1A loss in human bronchial epithelial cells (HBEC).\nRESULTS: We demonstrate here that depletion of the YAP-kinases NDR1/2 reverts migration and metastatic properties upon RASSF1A loss in HBEC. We show that NDR2 interacts directly with GEF-H1 (which contains the NDR phosphorylation consensus motif HXRXXS/T), leading to GEF-H1 phosphorylation. We further report that the RASSF1A/NDR2/GEF-H1/RhoB/YAP axis is involved in proper cytokinesis in human bronchial cells, since chromosome proper segregation are NDR-dependent upon RASSF1A or GEF-H1 loss in HBEC.\nCONCLUSION: To summarize, our data support a model in which, upon RASSF1A silencing, NDR2 gets activated, phosphorylates and inactivates GEF-H1, leading to RhoB inactivation. This cascade induced by RASSF1A loss in bronchial cells is responsible for metastasis properties, YAP activation and cytokinesis defects.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13046-019-1145-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1094159", 
        "issn": [
          "0392-9078", 
          "1756-9966"
        ], 
        "name": "Journal of Experimental & Clinical Cancer Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "NDR2 kinase contributes to cell invasion and cytokinesis defects induced by the inactivation of RASSF1A tumor-suppressor gene in lung cancer cells.", 
    "pagination": "158", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13046-019-1145-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113380044"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8308647"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30979377"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13046-019-1145-8", 
      "https://app.dimensions.ai/details/publication/pub.1113380044"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:25", 
    "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/v90/0000000377_0000000377/records_106840_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://jeccr.biomedcentral.com/articles/10.1186/s13046-019-1145-8"
  }
]
 

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/s13046-019-1145-8'

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/s13046-019-1145-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13046-019-1145-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13046-019-1145-8'


 

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

299 TRIPLES      21 PREDICATES      73 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13046-019-1145-8 schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author Na310d85fb3b44c508515af38743f82b0
4 schema:citation sg:pub.10.1007/978-1-4939-6502-1_19
5 sg:pub.10.1038/73432
6 sg:pub.10.1038/cdd.2008.108
7 sg:pub.10.1038/ncb1091
8 sg:pub.10.1038/ncb1140
9 sg:pub.10.1038/ncomms10186
10 sg:pub.10.1038/onc.2008.220
11 sg:pub.10.1186/1747-1028-6-19
12 sg:pub.10.1186/2045-3701-3-32
13 sg:pub.10.1186/s40169-018-0202-9
14 https://doi.org/10.1002/ijc.27629
15 https://doi.org/10.1016/j.canlet.2011.10.032
16 https://doi.org/10.1016/j.cell.2012.06.037
17 https://doi.org/10.1016/j.devcel.2007.03.014
18 https://doi.org/10.1016/j.devcel.2012.06.014
19 https://doi.org/10.1016/j.devcel.2014.01.014
20 https://doi.org/10.1016/j.molcel.2016.05.012
21 https://doi.org/10.1038/emboj.2013.32
22 https://doi.org/10.1042/bst20110619
23 https://doi.org/10.1073/pnas.191502998
24 https://doi.org/10.1073/pnas.83.8.2438
25 https://doi.org/10.1074/jbc.m117.808063
26 https://doi.org/10.1091/mbc.e11-08-0721
27 https://doi.org/10.1091/mbc.e12-09-0661
28 https://doi.org/10.1091/mbc.e13-06-0302
29 https://doi.org/10.1101/gad.268185.115
30 https://doi.org/10.1126/scisignal.2001570
31 https://doi.org/10.1126/scisignal.aaa9227
32 https://doi.org/10.1128/ec.00129-14
33 https://doi.org/10.1128/mcb.25.22.10097-10110.2005
34 https://doi.org/10.1158/0008-5472.can-06-3604
35 https://doi.org/10.1158/0008-5472.can-08-4147
36 https://doi.org/10.1158/0008-5472.can-09-1554
37 https://doi.org/10.1158/0008-5472.can-15-1008
38 https://doi.org/10.1158/0008-5472.can-15-1752
39 https://doi.org/10.1158/1078-0432.ccr-11-2797
40 https://doi.org/10.1158/1541-7786.mcr-11-0534
41 https://doi.org/10.1371/journal.pone.0067178
42 https://doi.org/10.1371/journal.pone.0136566
43 https://doi.org/10.18632/oncotarget.20833
44 https://doi.org/10.18632/oncotarget.9875
45 https://doi.org/10.3389/fnmol.2018.00066
46 https://doi.org/10.4161/cam.28058
47 https://doi.org/10.4161/cc.10.12.15826
48 https://doi.org/10.4161/sgtp.29770
49 schema:datePublished 2019-12
50 schema:datePublishedReg 2019-12-01
51 schema:description BACKGROUND: RASSF1A, a tumor suppressor gene, is frequently inactivated in lung cancer leading to a YAP-dependent epithelial-mesenchymal transition (EMT). Such effects are partly due to the inactivation of the anti-migratory RhoB GTPase via the inhibitory phosphorylation of GEF-H1, the GDP/GTP exchange factor for RhoB. However, the kinase responsible for RhoB/GEF-H1 inactivation in RASSF1A-depleted cells remained unknown. METHODS: NDR1/2 inactivation by siRNA or shRNA effects on epithelial-mesenchymal transition, invasion, xenograft formation and growth in SCID-/- Beige mice, apoptosis, proliferation, cytokinesis, YAP/TAZ activation were investigated upon RASSF1A loss in human bronchial epithelial cells (HBEC). RESULTS: We demonstrate here that depletion of the YAP-kinases NDR1/2 reverts migration and metastatic properties upon RASSF1A loss in HBEC. We show that NDR2 interacts directly with GEF-H1 (which contains the NDR phosphorylation consensus motif HXRXXS/T), leading to GEF-H1 phosphorylation. We further report that the RASSF1A/NDR2/GEF-H1/RhoB/YAP axis is involved in proper cytokinesis in human bronchial cells, since chromosome proper segregation are NDR-dependent upon RASSF1A or GEF-H1 loss in HBEC. CONCLUSION: To summarize, our data support a model in which, upon RASSF1A silencing, NDR2 gets activated, phosphorylates and inactivates GEF-H1, leading to RhoB inactivation. This cascade induced by RASSF1A loss in bronchial cells is responsible for metastasis properties, YAP activation and cytokinesis defects.
52 schema:genre research_article
53 schema:inLanguage en
54 schema:isAccessibleForFree false
55 schema:isPartOf N31441190177a4da286c99dadb098571e
56 Nce702146e064480d94fad3113743d7d5
57 sg:journal.1094159
58 schema:name NDR2 kinase contributes to cell invasion and cytokinesis defects induced by the inactivation of RASSF1A tumor-suppressor gene in lung cancer cells.
59 schema:pagination 158
60 schema:productId N22a306ed7c464f29a682c904fa9c170b
61 N5494c88d1ba345aa822999896aa4ec03
62 Nccb2de69b8ea42f3a7dd027fc25dfecc
63 Ncd49248804f342cbb1440bc5f5fa25d8
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113380044
65 https://doi.org/10.1186/s13046-019-1145-8
66 schema:sdDatePublished 2019-04-16T06:25
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N0e588ca59f93457393c2d16f60e475a2
69 schema:url https://jeccr.biomedcentral.com/articles/10.1186/s13046-019-1145-8
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N060070f2e1374371b957fca02dd816c4 rdf:first N942f68cdaed3478b9df99658b6afb8b1
74 rdf:rest Na79dd0031a1b4be48b5f4eb887923dc1
75 N0e588ca59f93457393c2d16f60e475a2 schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 N144285ae12bf404881946ef02fa429db rdf:first Nd3d42d86a0104ec4bbd75624c4721e31
78 rdf:rest rdf:nil
79 N17c866af7b5a4f8caf6ae1f48a384234 rdf:first N25704d69981b493ab4513f56dd5e8ce9
80 rdf:rest Na9aece94e87a4a5a8ee64dc83a33108c
81 N1cd544d7602b4e6ba4900498a04f92b7 schema:affiliation https://www.grid.ac/institutes/grid.412043.0
82 schema:familyName Levallet
83 schema:givenName Jérôme
84 rdf:type schema:Person
85 N22a306ed7c464f29a682c904fa9c170b schema:name dimensions_id
86 schema:value pub.1113380044
87 rdf:type schema:PropertyValue
88 N25704d69981b493ab4513f56dd5e8ce9 schema:affiliation https://www.grid.ac/institutes/grid.411149.8
89 schema:familyName Bergot
90 schema:givenName Emmanuel
91 rdf:type schema:Person
92 N31441190177a4da286c99dadb098571e schema:issueNumber 1
93 rdf:type schema:PublicationIssue
94 N3be2939204e44a789b700d9cbc7ca2ad schema:affiliation https://www.grid.ac/institutes/grid.418596.7
95 schema:familyName Martin
96 schema:givenName Alexandre P J
97 rdf:type schema:Person
98 N3eada70e75264076b4b71f3c4b630083 schema:affiliation https://www.grid.ac/institutes/grid.83440.3b
99 schema:familyName Hergovich
100 schema:givenName Alexander
101 rdf:type schema:Person
102 N53ff636fa61c4bc6ba849b38da141d9a rdf:first Nb5fcb6936d62412aa2e99f15db047961
103 rdf:rest N144285ae12bf404881946ef02fa429db
104 N5494c88d1ba345aa822999896aa4ec03 schema:name pubmed_id
105 schema:value 30979377
106 rdf:type schema:PropertyValue
107 N712f0460b65d4efbb4e73530df882ecf rdf:first N8f716e31e9ad45c9893015ad837524a9
108 rdf:rest Nf367160f372b42d7855e04f949b72949
109 N754e4ea69fa245ac87edf74b1b50c958 schema:affiliation https://www.grid.ac/institutes/grid.412043.0
110 schema:familyName Teulier
111 schema:givenName Sylvain
112 rdf:type schema:Person
113 N75e75975f3e64e1db99e8906ec20acc7 rdf:first Nbe062079e8ed40148ee6fb3c8f219d18
114 rdf:rest Nbc068959122e494dbb3c88bbcdad70c4
115 N820ea587f03b4089a7f8a4ecd14d716a schema:affiliation https://www.grid.ac/institutes/grid.412043.0
116 schema:familyName Brosseau
117 schema:givenName Solenn
118 rdf:type schema:Person
119 N8f716e31e9ad45c9893015ad837524a9 schema:affiliation https://www.grid.ac/institutes/grid.411149.8
120 schema:familyName Dubois
121 schema:givenName Fatéméh
122 rdf:type schema:Person
123 N942f68cdaed3478b9df99658b6afb8b1 schema:affiliation https://www.grid.ac/institutes/grid.412043.0
124 schema:familyName Elie
125 schema:givenName Nicolas
126 rdf:type schema:Person
127 Na310d85fb3b44c508515af38743f82b0 rdf:first Nc10794c28e4645b986c8b190c083d1d0
128 rdf:rest N712f0460b65d4efbb4e73530df882ecf
129 Na79dd0031a1b4be48b5f4eb887923dc1 rdf:first N3eada70e75264076b4b71f3c4b630083
130 rdf:rest N17c866af7b5a4f8caf6ae1f48a384234
131 Na9aece94e87a4a5a8ee64dc83a33108c rdf:first Ncfe1398ba63840d79a751aa5a0710467
132 rdf:rest N53ff636fa61c4bc6ba849b38da141d9a
133 Nb5fcb6936d62412aa2e99f15db047961 schema:affiliation https://www.grid.ac/institutes/grid.418596.7
134 schema:familyName Zalcman
135 schema:givenName Gérard
136 rdf:type schema:Person
137 Nb7fe93b913d741c5a8945aa5c1755702 rdf:first N3be2939204e44a789b700d9cbc7ca2ad
138 rdf:rest Nde8487e5b00d425bb91047e9bf4bede8
139 Nbc068959122e494dbb3c88bbcdad70c4 rdf:first N820ea587f03b4089a7f8a4ecd14d716a
140 rdf:rest N060070f2e1374371b957fca02dd816c4
141 Nbe062079e8ed40148ee6fb3c8f219d18 schema:affiliation https://www.grid.ac/institutes/grid.412043.0
142 schema:familyName Maille
143 schema:givenName Elodie
144 rdf:type schema:Person
145 Nc10794c28e4645b986c8b190c083d1d0 schema:affiliation https://www.grid.ac/institutes/grid.412043.0
146 schema:familyName Keller
147 schema:givenName Maureen
148 rdf:type schema:Person
149 Nccb2de69b8ea42f3a7dd027fc25dfecc schema:name doi
150 schema:value 10.1186/s13046-019-1145-8
151 rdf:type schema:PropertyValue
152 Ncd49248804f342cbb1440bc5f5fa25d8 schema:name nlm_unique_id
153 schema:value 8308647
154 rdf:type schema:PropertyValue
155 Nce702146e064480d94fad3113743d7d5 schema:volumeNumber 38
156 rdf:type schema:PublicationVolume
157 Ncfe1398ba63840d79a751aa5a0710467 schema:affiliation https://www.grid.ac/institutes/grid.418596.7
158 schema:familyName Camonis
159 schema:givenName Jacques
160 rdf:type schema:Person
161 Nd3d42d86a0104ec4bbd75624c4721e31 schema:affiliation https://www.grid.ac/institutes/grid.411149.8
162 schema:familyName Levallet
163 schema:givenName Guénaëlle
164 rdf:type schema:Person
165 Nde8487e5b00d425bb91047e9bf4bede8 rdf:first N1cd544d7602b4e6ba4900498a04f92b7
166 rdf:rest N75e75975f3e64e1db99e8906ec20acc7
167 Nf367160f372b42d7855e04f949b72949 rdf:first N754e4ea69fa245ac87edf74b1b50c958
168 rdf:rest Nb7fe93b913d741c5a8945aa5c1755702
169 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
170 schema:name Medical and Health Sciences
171 rdf:type schema:DefinedTerm
172 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
173 schema:name Oncology and Carcinogenesis
174 rdf:type schema:DefinedTerm
175 sg:journal.1094159 schema:issn 0392-9078
176 1756-9966
177 schema:name Journal of Experimental & Clinical Cancer Research
178 rdf:type schema:Periodical
179 sg:pub.10.1007/978-1-4939-6502-1_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014682213
180 https://doi.org/10.1007/978-1-4939-6502-1_19
181 rdf:type schema:CreativeWork
182 sg:pub.10.1038/73432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024393583
183 https://doi.org/10.1038/73432
184 rdf:type schema:CreativeWork
185 sg:pub.10.1038/cdd.2008.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052747736
186 https://doi.org/10.1038/cdd.2008.108
187 rdf:type schema:CreativeWork
188 sg:pub.10.1038/ncb1091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016419469
189 https://doi.org/10.1038/ncb1091
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/ncb1140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024062538
192 https://doi.org/10.1038/ncb1140
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/ncomms10186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013693978
195 https://doi.org/10.1038/ncomms10186
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/onc.2008.220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047494846
198 https://doi.org/10.1038/onc.2008.220
199 rdf:type schema:CreativeWork
200 sg:pub.10.1186/1747-1028-6-19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007779442
201 https://doi.org/10.1186/1747-1028-6-19
202 rdf:type schema:CreativeWork
203 sg:pub.10.1186/2045-3701-3-32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033316501
204 https://doi.org/10.1186/2045-3701-3-32
205 rdf:type schema:CreativeWork
206 sg:pub.10.1186/s40169-018-0202-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105578455
207 https://doi.org/10.1186/s40169-018-0202-9
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1002/ijc.27629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042617850
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.canlet.2011.10.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000111823
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.cell.2012.06.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039287087
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.devcel.2007.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043030516
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.devcel.2012.06.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052437099
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.devcel.2014.01.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001097966
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.molcel.2016.05.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052977838
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1038/emboj.2013.32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006666392
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1042/bst20110619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051329205
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1073/pnas.191502998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012580984
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1073/pnas.83.8.2438 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048089140
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1074/jbc.m117.808063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092069320
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1091/mbc.e11-08-0721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044833937
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1091/mbc.e12-09-0661 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018833709
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1091/mbc.e13-06-0302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036893721
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1101/gad.268185.115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024970141
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1126/scisignal.2001570 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037449535
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1126/scisignal.aaa9227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000042495
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1128/ec.00129-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006642223
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1128/mcb.25.22.10097-10110.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004319352
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1158/0008-5472.can-06-3604 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033475390
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1158/0008-5472.can-08-4147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004361232
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1158/0008-5472.can-09-1554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015850886
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1158/0008-5472.can-15-1008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063215825
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1158/0008-5472.can-15-1752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016665891
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1158/1078-0432.ccr-11-2797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004789332
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1158/1541-7786.mcr-11-0534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043706386
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1371/journal.pone.0067178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018244074
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1371/journal.pone.0136566 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023533888
266 rdf:type schema:CreativeWork
267 https://doi.org/10.18632/oncotarget.20833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091604808
268 rdf:type schema:CreativeWork
269 https://doi.org/10.18632/oncotarget.9875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023186514
270 rdf:type schema:CreativeWork
271 https://doi.org/10.3389/fnmol.2018.00066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101344344
272 rdf:type schema:CreativeWork
273 https://doi.org/10.4161/cam.28058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072291858
274 rdf:type schema:CreativeWork
275 https://doi.org/10.4161/cc.10.12.15826 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072295933
276 rdf:type schema:CreativeWork
277 https://doi.org/10.4161/sgtp.29770 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072310949
278 rdf:type schema:CreativeWork
279 https://www.grid.ac/institutes/grid.411149.8 schema:alternateName Centre Hospitalier Universitaire de Caen
280 schema:name Normandie University, UNICAEN, CEA, CNRS, ISTCT/CERVOxy group, GIP CYCERON, Avenue H.Becquerel- 14074, F-14000, Caen, France.
281 Normandie University, UNICAEN, CEA, CNRS, ISTCT/CERVOxy group, GIP CYCERON, Avenue H.Becquerel- 14074, F-14000, Caen, France. guenaelle.levallet@unicaen.fr.
282 Service d'Anatomie et Cytologie Pathologique, CHU de Caen, F-14033, Caen, France.
283 Service d'Anatomie et Cytologie Pathologique, CHU de Caen, F-14033, Caen, France. guenaelle.levallet@unicaen.fr.
284 Service de Pneumologie-Oncologie thoracique, CHU de Caen, F-14033, Caen, France.
285 rdf:type schema:Organization
286 https://www.grid.ac/institutes/grid.412043.0 schema:alternateName Université de Caen Basse-Normandie
287 schema:name Normandie Univ, UNICAEN, SFR ICORE, Plateau CMABio3, F-14032, Caen, France.
288 Normandie University, UNICAEN, CEA, CNRS, ISTCT/CERVOxy group, GIP CYCERON, Avenue H.Becquerel- 14074, F-14000, Caen, France.
289 Normandie University, UNICAEN, UMR 1086 INSERM, F-14032, Caen, France.
290 Normandie University, UNICAEN, UPRES-EA-2608, F-14032, Caen, France.
291 Service d'oncologie thoracique, CIC 1425, Hôpital Bichat-Claude Bernard, AP-HP, Université Paris-Diderot, Paris, France.
292 rdf:type schema:Organization
293 https://www.grid.ac/institutes/grid.418596.7 schema:alternateName Institute Curie
294 schema:name Service d'oncologie thoracique, CIC 1425, Hôpital Bichat-Claude Bernard, AP-HP, Université Paris-Diderot, Paris, France.
295 U830 INSERM, "Génétique et Biologie des cancers" Centre de Recherche, Institut Curie, Paris, France.
296 rdf:type schema:Organization
297 https://www.grid.ac/institutes/grid.83440.3b schema:alternateName University College London
298 schema:name University College London Cancer Institute, WC1E 6BT, London, UK.
299 rdf:type schema:Organization
 




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


...