Imaging response in neuroendocrine tumors treated with targeted therapies: the experience of sunitinib View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-06

AUTHORS

Sandrine Faivre, Maxime Ronot, Chantal Dreyer, Camille Serrate, Olivia Hentic, Mohamed Bouattour, Onorina Bruno, Anne Couvelard, Valérie Vilgrain, Eric Raymond

ABSTRACT

Among neuroendocrine carcinomas of the gut, well-differentiated tumors are highly vascularized, featuring specific characteristics on contrast-enhanced imaging. Well-differentiated neuroendocrine tumors spontaneously harbor hypervascular enhancement, coexisting with areas of necrosis mainly located at the center of tumor lesions. When exposed to vascular endothelial growth factor (VEGFR) inhibitors such as sunitinib, target lesions display few if any variation in tumor size, but rather detectable modifications in tumor density. In several patients treated with targeted therapy, a significant decrease of tumor density at first tumor evaluation can be detected as compared to baseline. Consistently, the two randomized trials leading to approval of sunitinib and everolimus in pancreatic neuroendocrine tumors report objective response rate below 10%, emphasizing that Response Evaluation Criteria in Solid Tumors (RECIST), that focus only on the largest diameters of target lesions, may be insufficient to capture the full benefit of targeted therapies. Alternative criteria, such as those developed by Choi et al., consider both the size and the density of the tumor as parameters for response evaluation. Choi criteria have been recently proposed as a surrogate endpoint for efficacy and to identify patients that are good responders to VEGFR inhibitors such as sunitinib and sorafenib in advanced hepatocellular carcinoma, another disease highly addicted to angiogenesis. Preliminary data generated from patients included in the sunitinib phase III trial suggest that Choi criteria might also be considered as an alternative to RECIST to evaluate the effects of sunitinib in patients with advanced well-differentiated neuroendocrine tumors. More... »

PAGES

127-133

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11523-012-0216-y

DOI

http://dx.doi.org/10.1007/s11523-012-0216-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024096656

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22585430


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Angiogenesis Inhibitors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antineoplastic Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Indoles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Targeted Therapy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neuroendocrine Tumors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pyrroles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Medical Oncology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France", 
            "Department of Medical Oncology (INSERM U728\u2013PRES Paris 7 Diderot), Assistance Publique\u2013H\u00f4pitaux de Paris, Beaujon University Hospital, 100 boulevard du G\u00e9n\u00e9ral Leclerc, 92110, Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Faivre", 
        "givenName": "Sandrine", 
        "id": "sg:person.01026352014.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026352014.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Radiology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ronot", 
        "givenName": "Maxime", 
        "id": "sg:person.01025534354.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025534354.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Medical Oncology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dreyer", 
        "givenName": "Chantal", 
        "id": "sg:person.01047617457.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047617457.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Medical Oncology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Serrate", 
        "givenName": "Camille", 
        "id": "sg:person.01114167116.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114167116.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Gastroenterology and Pancreatology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hentic", 
        "givenName": "Olivia", 
        "id": "sg:person.0736275266.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736275266.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Medical Oncology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bouattour", 
        "givenName": "Mohamed", 
        "id": "sg:person.0654376577.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654376577.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Radiology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bruno", 
        "givenName": "Onorina", 
        "id": "sg:person.0722511777.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722511777.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Bichat-Claude-Bernard", 
          "id": "https://www.grid.ac/institutes/grid.411119.d", 
          "name": [
            "Department of Pathology, Bichat University Hospital, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Couvelard", 
        "givenName": "Anne", 
        "id": "sg:person.0751137045.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751137045.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Radiology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vilgrain", 
        "givenName": "Val\u00e9rie", 
        "id": "sg:person.0761705775.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761705775.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Medical Oncology, Beaujon University Hospital (AP-HP\u2013Paris 7 Diderot), Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Raymond", 
        "givenName": "Eric", 
        "id": "sg:person.0722574726.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722574726.55"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1056/nejmoa1009290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000478474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2007.13.4452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005473546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa065044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007947936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(09)70171-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008482640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6602245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012438597", 
          "https://doi.org/10.1038/sj.bjc.6602245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6602245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012438597", 
          "https://doi.org/10.1038/sj.bjc.6602245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(04)17098-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012604875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.01.3441", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012786175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.01.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013800710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1003825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016669077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2006.07.3411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019062068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2006.07.3049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020547992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-8278(01)00130-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021007716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.02.2194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024656667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2008.10.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026558254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm200104053441404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026751453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0030-1247132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031319462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/92.3.205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032301848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-10-1708", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033314337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000090026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038545312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2008.20.9908", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042277532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrd2380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044070644", 
          "https://doi.org/10.1038/nrd2380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecl.2010.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044834597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2009.25.0670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046509612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ctrv.2008.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047533515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0708857", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053513212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2012.30.4_suppl.172", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083952323"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-06", 
    "datePublishedReg": "2012-06-01", 
    "description": "Among neuroendocrine carcinomas of the gut, well-differentiated tumors are highly vascularized, featuring specific characteristics on contrast-enhanced imaging. Well-differentiated neuroendocrine tumors spontaneously harbor hypervascular enhancement, coexisting with areas of necrosis mainly located at the center of tumor lesions. When exposed to vascular endothelial growth factor (VEGFR) inhibitors such as sunitinib, target lesions display few if any variation in tumor size, but rather detectable modifications in tumor density. In several patients treated with targeted therapy, a significant decrease of tumor density at first tumor evaluation can be detected as compared to baseline. Consistently, the two randomized trials leading to approval of sunitinib and everolimus in pancreatic neuroendocrine tumors report objective response rate below 10%, emphasizing that Response Evaluation Criteria in Solid Tumors (RECIST), that focus only on the largest diameters of target lesions, may be insufficient to capture the full benefit of targeted therapies. Alternative criteria, such as those developed by Choi et al., consider both the size and the density of the tumor as parameters for response evaluation. Choi criteria have been recently proposed as a surrogate endpoint for efficacy and to identify patients that are good responders to VEGFR inhibitors such as sunitinib and sorafenib in advanced hepatocellular carcinoma, another disease highly addicted to angiogenesis. Preliminary data generated from patients included in the sunitinib phase III trial suggest that Choi criteria might also be considered as an alternative to RECIST to evaluate the effects of sunitinib in patients with advanced well-differentiated neuroendocrine tumors.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11523-012-0216-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1036678", 
        "issn": [
          "1776-2596", 
          "1776-260X"
        ], 
        "name": "Targeted Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Imaging response in neuroendocrine tumors treated with targeted therapies: the experience of sunitinib", 
    "pagination": "127-133", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "72cd3488bac6072021b45ee403e91459f007a321ce2a9c70d343a84c21982b7e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22585430"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101270595"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11523-012-0216-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024096656"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11523-012-0216-y", 
      "https://app.dimensions.ai/details/publication/pub.1024096656"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000522.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11523-012-0216-y"
  }
]
 

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/s11523-012-0216-y'

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/s11523-012-0216-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11523-012-0216-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11523-012-0216-y'


 

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

250 TRIPLES      21 PREDICATES      63 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11523-012-0216-y schema:about N0597732448034b2caf667a28f4f9a3a2
2 N17878cf2fef0475f8e8ab128944b4e59
3 N6434d1444f95450c978382d342cd5bf8
4 N91ad32afcf7840d1b7c1d0cca51a4e5b
5 N92e49ab43ab041dea7dc087d066345db
6 N93c34cb1d99d4d1484ce86177aa9c286
7 Na19b4235b2224f3fadbaeb2d2396dc39
8 Na96a961d86aa475483825def6b45835f
9 anzsrc-for:11
10 anzsrc-for:1112
11 schema:author N3c15ae71af1047068b363d56a760905c
12 schema:citation sg:pub.10.1038/nrd2380
13 sg:pub.10.1038/sj.bjc.6602245
14 https://doi.org/10.1016/j.ctrv.2008.12.001
15 https://doi.org/10.1016/j.ecl.2010.09.006
16 https://doi.org/10.1016/j.ejca.2008.10.026
17 https://doi.org/10.1016/s0140-6736(04)17098-0
18 https://doi.org/10.1016/s0168-8278(01)00130-1
19 https://doi.org/10.1016/s1470-2045(09)70171-8
20 https://doi.org/10.1055/s-0030-1247132
21 https://doi.org/10.1056/nejm200104053441404
22 https://doi.org/10.1056/nejmoa065044
23 https://doi.org/10.1056/nejmoa0708857
24 https://doi.org/10.1056/nejmoa1003825
25 https://doi.org/10.1056/nejmoa1009290
26 https://doi.org/10.1093/jnci/92.3.205
27 https://doi.org/10.1158/1078-0432.ccr-10-1708
28 https://doi.org/10.1159/000090026
29 https://doi.org/10.1200/jco.2005.01.013
30 https://doi.org/10.1200/jco.2005.01.3441
31 https://doi.org/10.1200/jco.2005.02.2194
32 https://doi.org/10.1200/jco.2006.07.3049
33 https://doi.org/10.1200/jco.2006.07.3411
34 https://doi.org/10.1200/jco.2007.13.4452
35 https://doi.org/10.1200/jco.2008.20.9908
36 https://doi.org/10.1200/jco.2009.25.0670
37 https://doi.org/10.1200/jco.2012.30.4_suppl.172
38 schema:datePublished 2012-06
39 schema:datePublishedReg 2012-06-01
40 schema:description Among neuroendocrine carcinomas of the gut, well-differentiated tumors are highly vascularized, featuring specific characteristics on contrast-enhanced imaging. Well-differentiated neuroendocrine tumors spontaneously harbor hypervascular enhancement, coexisting with areas of necrosis mainly located at the center of tumor lesions. When exposed to vascular endothelial growth factor (VEGFR) inhibitors such as sunitinib, target lesions display few if any variation in tumor size, but rather detectable modifications in tumor density. In several patients treated with targeted therapy, a significant decrease of tumor density at first tumor evaluation can be detected as compared to baseline. Consistently, the two randomized trials leading to approval of sunitinib and everolimus in pancreatic neuroendocrine tumors report objective response rate below 10%, emphasizing that Response Evaluation Criteria in Solid Tumors (RECIST), that focus only on the largest diameters of target lesions, may be insufficient to capture the full benefit of targeted therapies. Alternative criteria, such as those developed by Choi et al., consider both the size and the density of the tumor as parameters for response evaluation. Choi criteria have been recently proposed as a surrogate endpoint for efficacy and to identify patients that are good responders to VEGFR inhibitors such as sunitinib and sorafenib in advanced hepatocellular carcinoma, another disease highly addicted to angiogenesis. Preliminary data generated from patients included in the sunitinib phase III trial suggest that Choi criteria might also be considered as an alternative to RECIST to evaluate the effects of sunitinib in patients with advanced well-differentiated neuroendocrine tumors.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N0f696455e6c7416bb8ebbc5afbcf2620
45 Nbccb50fc009d4077ac3dfb59b83bd75d
46 sg:journal.1036678
47 schema:name Imaging response in neuroendocrine tumors treated with targeted therapies: the experience of sunitinib
48 schema:pagination 127-133
49 schema:productId N17faf67e73434b309c828b157b120a74
50 N57097814420947c8ad95ce12b58a8e36
51 Nc0e104fbef534a08ba01cc1c2407f985
52 Nd2bf3fa3217e490db2d75460cffdc786
53 Ndf66100d17e643b9bb5849b8a30a522d
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024096656
55 https://doi.org/10.1007/s11523-012-0216-y
56 schema:sdDatePublished 2019-04-10T23:27
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher Nc794cdcfa35145e196c3fe35a4ffeedd
59 schema:url http://link.springer.com/10.1007%2Fs11523-012-0216-y
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N0597732448034b2caf667a28f4f9a3a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Indoles
65 rdf:type schema:DefinedTerm
66 N0f696455e6c7416bb8ebbc5afbcf2620 schema:volumeNumber 7
67 rdf:type schema:PublicationVolume
68 N10957671670f498ca1f404657094cabb rdf:first sg:person.01114167116.12
69 rdf:rest Na1dd67f1bceb4c9e90c43f733c982315
70 N17878cf2fef0475f8e8ab128944b4e59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Neuroendocrine Tumors
72 rdf:type schema:DefinedTerm
73 N17faf67e73434b309c828b157b120a74 schema:name nlm_unique_id
74 schema:value 101270595
75 rdf:type schema:PropertyValue
76 N2ac122d17ebb4e06aaf2d112f264e9ea rdf:first sg:person.0722511777.19
77 rdf:rest N8b9105c803cb4f9ea1d39f4a3f8ea90e
78 N3c15ae71af1047068b363d56a760905c rdf:first sg:person.01026352014.76
79 rdf:rest N9f65688808404a05a4e5efd8fc57459a
80 N57097814420947c8ad95ce12b58a8e36 schema:name dimensions_id
81 schema:value pub.1024096656
82 rdf:type schema:PropertyValue
83 N6434d1444f95450c978382d342cd5bf8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Pyrroles
85 rdf:type schema:DefinedTerm
86 N85dbff14877e4148b6138023b0893428 rdf:first sg:person.01047617457.40
87 rdf:rest N10957671670f498ca1f404657094cabb
88 N8b9105c803cb4f9ea1d39f4a3f8ea90e rdf:first sg:person.0751137045.27
89 rdf:rest Nd1d52ad44f124931a563fb1cd2485d26
90 N91ad32afcf7840d1b7c1d0cca51a4e5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Molecular Targeted Therapy
92 rdf:type schema:DefinedTerm
93 N92e49ab43ab041dea7dc087d066345db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Angiogenesis Inhibitors
95 rdf:type schema:DefinedTerm
96 N93c34cb1d99d4d1484ce86177aa9c286 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Antineoplastic Agents
98 rdf:type schema:DefinedTerm
99 N9f65688808404a05a4e5efd8fc57459a rdf:first sg:person.01025534354.12
100 rdf:rest N85dbff14877e4148b6138023b0893428
101 Na19b4235b2224f3fadbaeb2d2396dc39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Humans
103 rdf:type schema:DefinedTerm
104 Na1dd67f1bceb4c9e90c43f733c982315 rdf:first sg:person.0736275266.26
105 rdf:rest Nd22e2e1254a84f84b3f83d11507f37e5
106 Na96a961d86aa475483825def6b45835f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Tomography, X-Ray Computed
108 rdf:type schema:DefinedTerm
109 Nbccb50fc009d4077ac3dfb59b83bd75d schema:issueNumber 2
110 rdf:type schema:PublicationIssue
111 Nc0e104fbef534a08ba01cc1c2407f985 schema:name pubmed_id
112 schema:value 22585430
113 rdf:type schema:PropertyValue
114 Nc794cdcfa35145e196c3fe35a4ffeedd schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 Ncfd79ca8f57a4fca8b11261cd18ca401 rdf:first sg:person.0722574726.55
117 rdf:rest rdf:nil
118 Nd1d52ad44f124931a563fb1cd2485d26 rdf:first sg:person.0761705775.52
119 rdf:rest Ncfd79ca8f57a4fca8b11261cd18ca401
120 Nd22e2e1254a84f84b3f83d11507f37e5 rdf:first sg:person.0654376577.27
121 rdf:rest N2ac122d17ebb4e06aaf2d112f264e9ea
122 Nd2bf3fa3217e490db2d75460cffdc786 schema:name readcube_id
123 schema:value 72cd3488bac6072021b45ee403e91459f007a321ce2a9c70d343a84c21982b7e
124 rdf:type schema:PropertyValue
125 Ndf66100d17e643b9bb5849b8a30a522d schema:name doi
126 schema:value 10.1007/s11523-012-0216-y
127 rdf:type schema:PropertyValue
128 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
129 schema:name Medical and Health Sciences
130 rdf:type schema:DefinedTerm
131 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
132 schema:name Oncology and Carcinogenesis
133 rdf:type schema:DefinedTerm
134 sg:journal.1036678 schema:issn 1776-2596
135 1776-260X
136 schema:name Targeted Oncology
137 rdf:type schema:Periodical
138 sg:person.01025534354.12 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
139 schema:familyName Ronot
140 schema:givenName Maxime
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025534354.12
142 rdf:type schema:Person
143 sg:person.01026352014.76 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
144 schema:familyName Faivre
145 schema:givenName Sandrine
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026352014.76
147 rdf:type schema:Person
148 sg:person.01047617457.40 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
149 schema:familyName Dreyer
150 schema:givenName Chantal
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047617457.40
152 rdf:type schema:Person
153 sg:person.01114167116.12 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
154 schema:familyName Serrate
155 schema:givenName Camille
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114167116.12
157 rdf:type schema:Person
158 sg:person.0654376577.27 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
159 schema:familyName Bouattour
160 schema:givenName Mohamed
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654376577.27
162 rdf:type schema:Person
163 sg:person.0722511777.19 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
164 schema:familyName Bruno
165 schema:givenName Onorina
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722511777.19
167 rdf:type schema:Person
168 sg:person.0722574726.55 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
169 schema:familyName Raymond
170 schema:givenName Eric
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722574726.55
172 rdf:type schema:Person
173 sg:person.0736275266.26 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
174 schema:familyName Hentic
175 schema:givenName Olivia
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736275266.26
177 rdf:type schema:Person
178 sg:person.0751137045.27 schema:affiliation https://www.grid.ac/institutes/grid.411119.d
179 schema:familyName Couvelard
180 schema:givenName Anne
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751137045.27
182 rdf:type schema:Person
183 sg:person.0761705775.52 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
184 schema:familyName Vilgrain
185 schema:givenName Valérie
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761705775.52
187 rdf:type schema:Person
188 sg:pub.10.1038/nrd2380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044070644
189 https://doi.org/10.1038/nrd2380
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/sj.bjc.6602245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012438597
192 https://doi.org/10.1038/sj.bjc.6602245
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.ctrv.2008.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047533515
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.ecl.2010.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044834597
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.ejca.2008.10.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026558254
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/s0140-6736(04)17098-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012604875
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/s0168-8278(01)00130-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021007716
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s1470-2045(09)70171-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008482640
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1055/s-0030-1247132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031319462
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1056/nejm200104053441404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026751453
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1056/nejmoa065044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007947936
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1056/nejmoa0708857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053513212
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1056/nejmoa1003825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016669077
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1056/nejmoa1009290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000478474
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1093/jnci/92.3.205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032301848
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1158/1078-0432.ccr-10-1708 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033314337
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1159/000090026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038545312
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1200/jco.2005.01.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013800710
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1200/jco.2005.01.3441 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012786175
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1200/jco.2005.02.2194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024656667
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1200/jco.2006.07.3049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020547992
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1200/jco.2006.07.3411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019062068
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1200/jco.2007.13.4452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005473546
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1200/jco.2008.20.9908 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042277532
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1200/jco.2009.25.0670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046509612
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1200/jco.2012.30.4_suppl.172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083952323
241 rdf:type schema:CreativeWork
242 https://www.grid.ac/institutes/grid.411119.d schema:alternateName Hôpital Bichat-Claude-Bernard
243 schema:name Department of Pathology, Bichat University Hospital, Paris, France
244 rdf:type schema:Organization
245 https://www.grid.ac/institutes/grid.411599.1 schema:alternateName Beaujon Hospital
246 schema:name Department of Gastroenterology and Pancreatology, Beaujon University Hospital (AP-HP–Paris 7 Diderot), Clichy, France
247 Department of Medical Oncology (INSERM U728–PRES Paris 7 Diderot), Assistance Publique–Hôpitaux de Paris, Beaujon University Hospital, 100 boulevard du Général Leclerc, 92110, Clichy, France
248 Department of Medical Oncology, Beaujon University Hospital (AP-HP–Paris 7 Diderot), Clichy, France
249 Department of Radiology, Beaujon University Hospital (AP-HP–Paris 7 Diderot), Clichy, France
250 rdf:type schema:Organization
 




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


...