Les sous-types moléculaires du cancer du sein. Apport des technologies à haut débit View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-07

AUTHORS

F. Reyal, M. -A. Bollet, G. Roubaud, A. Vincent-Salomon, R. -J. Salmon

ABSTRACT

Depuis plus de dix ans, le développement continu de nouvelles technologies d’analyse à haut débit offre aux scientifiques la possibilité d’étudier la biologie du vivant en général et des cancers en particulier par des voies aussi différentes que complémentaires. Ainsi, les altérations de la structure de l’ADN (amplification, délétion, gain), les pertes d’hétérozygotie (LOH), les altérations du niveau d’expression des gènes, les altérations du contrôle posttranscriptionnelle des microARN, l’activation des complexes protéiques peuvent être analysées simultanément à l’échelle du génome humain. Nous présentons ici un résumé des découvertes obtenues par l’analyse à haut débit du profil d’expression des cancers du sein, en insistant particulièrement sur l’impact majeur de ces travaux sur la connaissance et la prise en charge clinique de ces patientes. Les terabytes de données biologiques accumulées par les scientifiques depuis plus de dix ans ne répondent pas simplement à une lubie technologique mais sont au contraire des outils déterminants de la dissection moderne de ces tumeurs. L’amélioration du pronostic des patientes atteintes de cancer du sein passe nécessairement par l’utilisation de ces technologies. More... »

PAGES

396-402

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10269-010-1907-6

DOI

http://dx.doi.org/10.1007/s10269-010-1907-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016361603


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", 
    "author": [
      {
        "affiliation": {
          "alternateName": "French National Centre for Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4444.0", 
          "name": [
            "D\u00e9partement de chirurgie, institut Curie, 26, rue d\u2019Ulm, F-75005, Paris, France", 
            "UMR 144, CNRS, institut Curie, 12, rue Lhomond, F-75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reyal", 
        "givenName": "F.", 
        "id": "sg:person.01104374270.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104374270.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Curie", 
          "id": "https://www.grid.ac/institutes/grid.418596.7", 
          "name": [
            "D\u00e9partement d\u2019oncologie radioth\u00e9rapique, institut Curie, 26, rue d\u2019Ulm, F-75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bollet", 
        "givenName": "M. -A.", 
        "id": "sg:person.013451364414.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013451364414.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Bergoni\u00e9", 
          "id": "https://www.grid.ac/institutes/grid.476460.7", 
          "name": [
            "UMR 144, CNRS, institut Curie, 12, rue Lhomond, F-75005, Paris, France", 
            "D\u00e9partement d\u2019oncologie m\u00e9dicale, institut Bergoni\u00e9, 229, cours de l\u2019Argonne, F-33000, Bordeaux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roubaud", 
        "givenName": "G.", 
        "id": "sg:person.015244155673.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015244155673.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Curie", 
          "id": "https://www.grid.ac/institutes/grid.418596.7", 
          "name": [
            "D\u00e9partement de biologie des tumeurs, institut Curie, 26, rue d\u2019Ulm, F-75005, Paris, France", 
            "Inserm U830, institut Curie, 26, rue d\u2019Ulm, F-75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vincent-Salomon", 
        "givenName": "A.", 
        "id": "sg:person.01306222052.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306222052.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Curie", 
          "id": "https://www.grid.ac/institutes/grid.418596.7", 
          "name": [
            "D\u00e9partement de chirurgie, institut Curie, 26, rue d\u2019Ulm, F-75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salmon", 
        "givenName": "R. -J.", 
        "id": "sg:person.012672407762.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012672407762.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1126/science.1058040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001517867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humpath.2007.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002622415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2006.07.1522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003206258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2007.14.4287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006005362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-07-5644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007044949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2559.1991.tb00229.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010222506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2559.1991.tb00229.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010222506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-009-0685-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010357100", 
          "https://doi.org/10.1007/s10549-009-0685-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-009-0685-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010357100", 
          "https://doi.org/10.1007/s10549-009-0685-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-8049(09)70012-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010608425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.02.7888", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013234048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-7-96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015725266", 
          "https://doi.org/10.1186/1471-2164-7-96"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2009.03.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015994626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2008.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020199916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2008.02.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023272382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-007-9596-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023666436", 
          "https://doi.org/10.1007/s10549-007-9596-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-8049(03)00123-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025497408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-8049(03)00123-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025497408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-06-1109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025893789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2006.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026851710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-7799(98)01219-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029845965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djj052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030644591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2008.21.7075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030864787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35021093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033846543", 
          "https://doi.org/10.1038/35021093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.191367098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034333528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-04-2421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038294800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1359-6349(10)70159-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039981390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(05)67887-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040467534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbcan.2006.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041753231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bcr2124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042187964", 
          "https://doi.org/10.1186/bcr2124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35057062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042854081", 
          "https://doi.org/10.1038/35057062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35057062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042854081", 
          "https://doi.org/10.1038/35057062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2006.06.5664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045244445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humpath.2006.04.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048711132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3816/cbc.2008.n.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051463021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.270.5235.467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062551475"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.281.5379.1009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062562058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074271677", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076596615", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082905733", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-07", 
    "datePublishedReg": "2010-07-01", 
    "description": "Depuis plus de dix ans, le d\u00e9veloppement continu de nouvelles technologies d\u2019analyse \u00e0 haut d\u00e9bit offre aux scientifiques la possibilit\u00e9 d\u2019\u00e9tudier la biologie du vivant en g\u00e9n\u00e9ral et des cancers en particulier par des voies aussi diff\u00e9rentes que compl\u00e9mentaires. Ainsi, les alt\u00e9rations de la structure de l\u2019ADN (amplification, d\u00e9l\u00e9tion, gain), les pertes d\u2019h\u00e9t\u00e9rozygotie (LOH), les alt\u00e9rations du niveau d\u2019expression des g\u00e8nes, les alt\u00e9rations du contr\u00f4le posttranscriptionnelle des microARN, l\u2019activation des complexes prot\u00e9iques peuvent \u00eatre analys\u00e9es simultan\u00e9ment \u00e0 l\u2019\u00e9chelle du g\u00e9nome humain. Nous pr\u00e9sentons ici un r\u00e9sum\u00e9 des d\u00e9couvertes obtenues par l\u2019analyse \u00e0 haut d\u00e9bit du profil d\u2019expression des cancers du sein, en insistant particuli\u00e8rement sur l\u2019impact majeur de ces travaux sur la connaissance et la prise en charge clinique de ces patientes. Les terabytes de donn\u00e9es biologiques accumul\u00e9es par les scientifiques depuis plus de dix ans ne r\u00e9pondent pas simplement \u00e0 une lubie technologique mais sont au contraire des outils d\u00e9terminants de la dissection moderne de ces tumeurs. L\u2019am\u00e9lioration du pronostic des patientes atteintes de cancer du sein passe n\u00e9cessairement par l\u2019utilisation de ces technologies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10269-010-1907-6", 
    "inLanguage": [
      "fr"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1020974", 
        "issn": [
          "1292-3818", 
          "1765-2839"
        ], 
        "name": "Oncologie", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Les sous-types mol\u00e9culaires du cancer du sein. Apport des technologies \u00e0 haut d\u00e9bit", 
    "pagination": "396-402", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4df5528d7a9e07f482d18933477e6841cafcecafb7cef4fba8c2b11664808d2c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10269-010-1907-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016361603"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10269-010-1907-6", 
      "https://app.dimensions.ai/details/publication/pub.1016361603"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:31", 
    "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_113655_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10269-010-1907-6"
  }
]
 

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/s10269-010-1907-6'

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/s10269-010-1907-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10269-010-1907-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10269-010-1907-6'


 

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

203 TRIPLES      20 PREDICATES      61 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10269-010-1907-6 schema:author N453eae39c0584e639c02f2a67c67115e
2 schema:citation sg:pub.10.1007/s10549-007-9596-6
3 sg:pub.10.1007/s10549-009-0685-6
4 sg:pub.10.1038/35021093
5 sg:pub.10.1038/35057062
6 sg:pub.10.1186/1471-2164-7-96
7 sg:pub.10.1186/bcr2124
8 https://app.dimensions.ai/details/publication/pub.1074271677
9 https://app.dimensions.ai/details/publication/pub.1076596615
10 https://app.dimensions.ai/details/publication/pub.1082905733
11 https://doi.org/10.1016/j.bbcan.2006.08.002
12 https://doi.org/10.1016/j.ejca.2006.12.009
13 https://doi.org/10.1016/j.humpath.2006.04.015
14 https://doi.org/10.1016/j.humpath.2007.06.012
15 https://doi.org/10.1016/j.ijrobp.2008.02.066
16 https://doi.org/10.1016/j.ijrobp.2009.03.027
17 https://doi.org/10.1016/j.radonc.2008.04.014
18 https://doi.org/10.1016/s0140-6736(05)67887-7
19 https://doi.org/10.1016/s0167-7799(98)01219-0
20 https://doi.org/10.1016/s0959-8049(03)00123-0
21 https://doi.org/10.1016/s0959-8049(09)70012-7
22 https://doi.org/10.1016/s1359-6349(10)70159-2
23 https://doi.org/10.1073/pnas.191367098
24 https://doi.org/10.1093/jnci/djj052
25 https://doi.org/10.1111/j.1365-2559.1991.tb00229.x
26 https://doi.org/10.1126/science.1058040
27 https://doi.org/10.1126/science.270.5235.467
28 https://doi.org/10.1126/science.281.5379.1009
29 https://doi.org/10.1158/0008-5472.can-07-5644
30 https://doi.org/10.1158/1078-0432.ccr-04-2421
31 https://doi.org/10.1158/1078-0432.ccr-06-1109
32 https://doi.org/10.1200/jco.2005.02.7888
33 https://doi.org/10.1200/jco.2006.06.5664
34 https://doi.org/10.1200/jco.2006.07.1522
35 https://doi.org/10.1200/jco.2007.14.4287
36 https://doi.org/10.1200/jco.2008.21.7075
37 https://doi.org/10.3816/cbc.2008.n.028
38 schema:datePublished 2010-07
39 schema:datePublishedReg 2010-07-01
40 schema:description Depuis plus de dix ans, le développement continu de nouvelles technologies d’analyse à haut débit offre aux scientifiques la possibilité d’étudier la biologie du vivant en général et des cancers en particulier par des voies aussi différentes que complémentaires. Ainsi, les altérations de la structure de l’ADN (amplification, délétion, gain), les pertes d’hétérozygotie (LOH), les altérations du niveau d’expression des gènes, les altérations du contrôle posttranscriptionnelle des microARN, l’activation des complexes protéiques peuvent être analysées simultanément à l’échelle du génome humain. Nous présentons ici un résumé des découvertes obtenues par l’analyse à haut débit du profil d’expression des cancers du sein, en insistant particulièrement sur l’impact majeur de ces travaux sur la connaissance et la prise en charge clinique de ces patientes. Les terabytes de données biologiques accumulées par les scientifiques depuis plus de dix ans ne répondent pas simplement à une lubie technologique mais sont au contraire des outils déterminants de la dissection moderne de ces tumeurs. L’amélioration du pronostic des patientes atteintes de cancer du sein passe nécessairement par l’utilisation de ces technologies.
41 schema:genre research_article
42 schema:inLanguage fr
43 schema:isAccessibleForFree false
44 schema:isPartOf N19f58cbe26cf49dcaf654a30b3e0341e
45 N1f3d2be03fe64a87809ec84018d9cef0
46 sg:journal.1020974
47 schema:name Les sous-types moléculaires du cancer du sein. Apport des technologies à haut débit
48 schema:pagination 396-402
49 schema:productId N3dbd9ba1eb864cb4a5e385ffd0f9ba46
50 N7996844f12ef405292e85625516ef47a
51 N918606aa2e004627b3b9ac8141e2d678
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016361603
53 https://doi.org/10.1007/s10269-010-1907-6
54 schema:sdDatePublished 2019-04-11T10:31
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N743f79ea702e4a15975245b28ac60366
57 schema:url http://link.springer.com/10.1007%2Fs10269-010-1907-6
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N08a37eb0c6744fd6a120e689ee242afd rdf:first sg:person.015244155673.15
62 rdf:rest N29077734fd3647af93d342c41f57415b
63 N19f58cbe26cf49dcaf654a30b3e0341e schema:issueNumber 7
64 rdf:type schema:PublicationIssue
65 N1f3d2be03fe64a87809ec84018d9cef0 schema:volumeNumber 12
66 rdf:type schema:PublicationVolume
67 N29077734fd3647af93d342c41f57415b rdf:first sg:person.01306222052.48
68 rdf:rest Nc30a7db9957749ba8239e3a68fd46d14
69 N3dbd9ba1eb864cb4a5e385ffd0f9ba46 schema:name readcube_id
70 schema:value 4df5528d7a9e07f482d18933477e6841cafcecafb7cef4fba8c2b11664808d2c
71 rdf:type schema:PropertyValue
72 N453eae39c0584e639c02f2a67c67115e rdf:first sg:person.01104374270.94
73 rdf:rest Nad569aa5224c406091bee5ec5405881a
74 N743f79ea702e4a15975245b28ac60366 schema:name Springer Nature - SN SciGraph project
75 rdf:type schema:Organization
76 N7996844f12ef405292e85625516ef47a schema:name doi
77 schema:value 10.1007/s10269-010-1907-6
78 rdf:type schema:PropertyValue
79 N918606aa2e004627b3b9ac8141e2d678 schema:name dimensions_id
80 schema:value pub.1016361603
81 rdf:type schema:PropertyValue
82 Nad569aa5224c406091bee5ec5405881a rdf:first sg:person.013451364414.78
83 rdf:rest N08a37eb0c6744fd6a120e689ee242afd
84 Nc30a7db9957749ba8239e3a68fd46d14 rdf:first sg:person.012672407762.11
85 rdf:rest rdf:nil
86 sg:journal.1020974 schema:issn 1292-3818
87 1765-2839
88 schema:name Oncologie
89 rdf:type schema:Periodical
90 sg:person.01104374270.94 schema:affiliation https://www.grid.ac/institutes/grid.4444.0
91 schema:familyName Reyal
92 schema:givenName F.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104374270.94
94 rdf:type schema:Person
95 sg:person.012672407762.11 schema:affiliation https://www.grid.ac/institutes/grid.418596.7
96 schema:familyName Salmon
97 schema:givenName R. -J.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012672407762.11
99 rdf:type schema:Person
100 sg:person.01306222052.48 schema:affiliation https://www.grid.ac/institutes/grid.418596.7
101 schema:familyName Vincent-Salomon
102 schema:givenName A.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306222052.48
104 rdf:type schema:Person
105 sg:person.013451364414.78 schema:affiliation https://www.grid.ac/institutes/grid.418596.7
106 schema:familyName Bollet
107 schema:givenName M. -A.
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013451364414.78
109 rdf:type schema:Person
110 sg:person.015244155673.15 schema:affiliation https://www.grid.ac/institutes/grid.476460.7
111 schema:familyName Roubaud
112 schema:givenName G.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015244155673.15
114 rdf:type schema:Person
115 sg:pub.10.1007/s10549-007-9596-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023666436
116 https://doi.org/10.1007/s10549-007-9596-6
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/s10549-009-0685-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010357100
119 https://doi.org/10.1007/s10549-009-0685-6
120 rdf:type schema:CreativeWork
121 sg:pub.10.1038/35021093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033846543
122 https://doi.org/10.1038/35021093
123 rdf:type schema:CreativeWork
124 sg:pub.10.1038/35057062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042854081
125 https://doi.org/10.1038/35057062
126 rdf:type schema:CreativeWork
127 sg:pub.10.1186/1471-2164-7-96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015725266
128 https://doi.org/10.1186/1471-2164-7-96
129 rdf:type schema:CreativeWork
130 sg:pub.10.1186/bcr2124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042187964
131 https://doi.org/10.1186/bcr2124
132 rdf:type schema:CreativeWork
133 https://app.dimensions.ai/details/publication/pub.1074271677 schema:CreativeWork
134 https://app.dimensions.ai/details/publication/pub.1076596615 schema:CreativeWork
135 https://app.dimensions.ai/details/publication/pub.1082905733 schema:CreativeWork
136 https://doi.org/10.1016/j.bbcan.2006.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041753231
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.ejca.2006.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026851710
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.humpath.2006.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048711132
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.humpath.2007.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002622415
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.ijrobp.2008.02.066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023272382
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.ijrobp.2009.03.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015994626
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.radonc.2008.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020199916
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0140-6736(05)67887-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040467534
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/s0167-7799(98)01219-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029845965
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s0959-8049(03)00123-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025497408
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0959-8049(09)70012-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010608425
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s1359-6349(10)70159-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039981390
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1073/pnas.191367098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034333528
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1093/jnci/djj052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030644591
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1111/j.1365-2559.1991.tb00229.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010222506
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1126/science.1058040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001517867
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1126/science.270.5235.467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062551475
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1126/science.281.5379.1009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062562058
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1158/0008-5472.can-07-5644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007044949
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1158/1078-0432.ccr-04-2421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038294800
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1158/1078-0432.ccr-06-1109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025893789
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1200/jco.2005.02.7888 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013234048
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1200/jco.2006.06.5664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045244445
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1200/jco.2006.07.1522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003206258
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1200/jco.2007.14.4287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006005362
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1200/jco.2008.21.7075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030864787
187 rdf:type schema:CreativeWork
188 https://doi.org/10.3816/cbc.2008.n.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051463021
189 rdf:type schema:CreativeWork
190 https://www.grid.ac/institutes/grid.418596.7 schema:alternateName Institute Curie
191 schema:name Département de biologie des tumeurs, institut Curie, 26, rue d’Ulm, F-75005, Paris, France
192 Département de chirurgie, institut Curie, 26, rue d’Ulm, F-75005, Paris, France
193 Département d’oncologie radiothérapique, institut Curie, 26, rue d’Ulm, F-75005, Paris, France
194 Inserm U830, institut Curie, 26, rue d’Ulm, F-75005, Paris, France
195 rdf:type schema:Organization
196 https://www.grid.ac/institutes/grid.4444.0 schema:alternateName French National Centre for Scientific Research
197 schema:name Département de chirurgie, institut Curie, 26, rue d’Ulm, F-75005, Paris, France
198 UMR 144, CNRS, institut Curie, 12, rue Lhomond, F-75005, Paris, France
199 rdf:type schema:Organization
200 https://www.grid.ac/institutes/grid.476460.7 schema:alternateName Institut Bergonié
201 schema:name Département d’oncologie médicale, institut Bergonié, 229, cours de l’Argonne, F-33000, Bordeaux, France
202 UMR 144, CNRS, institut Curie, 12, rue Lhomond, F-75005, Paris, France
203 rdf:type schema:Organization
 




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


...