Ontology type: schema:ScholarlyArticle Open Access: True
2014-08-02
AUTHORSIdris Bahce, Marc C Huisman, Eline E Verwer, Rogier Ooijevaar, Firdaouss Boutkourt, Danielle J Vugts, Guus AMS van Dongen, Ronald Boellaard, Egbert F Smit
ABSTRACTBackgroundThe aim of this pilot study was to evaluate whether the uptake of 89Zr-bevacizumab in non-small cell lung cancer (NSCLC) tumors could be visualized and quantified. The correlation between tumor 89Zr-bevacizumab uptake and tumor response to antitumor therapy with a bevacizumab-based regimen was explored.MethodsSeven NSCLC patients underwent static PET scans at days 4 and 7 after injection of 36.4 ± 0.9 MBq (mean ± SD) 89Zr-bevacizumab, prior to commencing carboplatin-paclitaxel-bevacizumab chemotherapy (CPB). Overall survival (OS) and progression-free survival (PFS) to CPB followed by bevacizumab maintenance therapy was correlated to tumor tracer uptake, quantified using peak standardized uptake values (SUVpeak).ResultsZr-bevacizumab uptake (SUVpeak) was approximately four times higher in tumor tissues (primary tumor and metastases) than in non-tumor tissues (healthy muscle, lung, and fat) on days 4 and 7. A positive trend but no significant correlation could be found between SUVpeak and OS or PFS.ConclusionsThis pilot study shows that 89Zr-bevacizumab PET imaging in NSCLC is feasible. Further investigation to validate this technique as a predictive biomarker for selecting patients for bevacizumab treatment is warranted. More... »
PAGES35
http://scigraph.springernature.com/pub.10.1186/s13550-014-0035-5
DOIhttp://dx.doi.org/10.1186/s13550-014-0035-5
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1046739715
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/26055936
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/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"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"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Pulmonary Diseases, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Pulmonary Diseases, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "Bahce",
"givenName": "Idris",
"id": "sg:person.01031526622.07",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031526622.07"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "Huisman",
"givenName": "Marc C",
"id": "sg:person.01006327107.21",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006327107.21"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "Verwer",
"givenName": "Eline E",
"id": "sg:person.0642223051.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642223051.15"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Pulmonary Diseases, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Pulmonary Diseases, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "Ooijevaar",
"givenName": "Rogier",
"id": "sg:person.01072722545.46",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072722545.46"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Pulmonary Diseases, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Pulmonary Diseases, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "Boutkourt",
"givenName": "Firdaouss",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "Vugts",
"givenName": "Danielle J",
"id": "sg:person.0665425270.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665425270.49"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Otolaryngology/Head and Neck Surgery, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"Department of Otolaryngology/Head and Neck Surgery, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "van Dongen",
"givenName": "Guus AMS",
"id": "sg:person.0732223564.35",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732223564.35"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Radiology & Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "Boellaard",
"givenName": "Ronald",
"id": "sg:person.01361420011.63",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361420011.63"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Pulmonary Diseases, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands",
"id": "http://www.grid.ac/institutes/grid.16872.3a",
"name": [
"Department of Pulmonary Diseases, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands"
],
"type": "Organization"
},
"familyName": "Smit",
"givenName": "Egbert F",
"id": "sg:person.01053677306.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053677306.38"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/362841a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013132150",
"https://doi.org/10.1038/362841a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00259-011-2008-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017163258",
"https://doi.org/10.1007/s00259-011-2008-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00259-006-0160-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024198485",
"https://doi.org/10.1007/s00259-006-0160-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/clpt.2010.12",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037850597",
"https://doi.org/10.1038/clpt.2010.12"
],
"type": "CreativeWork"
}
],
"datePublished": "2014-08-02",
"datePublishedReg": "2014-08-02",
"description": "BackgroundThe aim of this pilot study was to evaluate whether the uptake of 89Zr-bevacizumab in non-small cell lung cancer (NSCLC) tumors could be visualized and quantified. The correlation between tumor 89Zr-bevacizumab uptake and tumor response to antitumor therapy with a bevacizumab-based regimen was explored.MethodsSeven NSCLC patients underwent static PET scans at days 4 and 7 after injection of 36.4\u2009\u00b1\u20090.9\u00a0MBq (mean\u2009\u00b1\u2009SD) 89Zr-bevacizumab, prior to commencing carboplatin-paclitaxel-bevacizumab chemotherapy (CPB). Overall survival (OS) and progression-free survival (PFS) to CPB followed by bevacizumab maintenance therapy was correlated to tumor tracer uptake, quantified using peak standardized uptake values (SUVpeak).ResultsZr-bevacizumab uptake (SUVpeak) was approximately four times higher in tumor tissues (primary tumor and metastases) than in non-tumor tissues (healthy muscle, lung, and fat) on days 4 and 7. A positive trend but no significant correlation could be found between SUVpeak and OS or PFS.ConclusionsThis pilot study shows that 89Zr-bevacizumab PET imaging in NSCLC is feasible. Further investigation to validate this technique as a predictive biomarker for selecting patients for bevacizumab treatment is warranted.",
"genre": "article",
"id": "sg:pub.10.1186/s13550-014-0035-5",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1045165",
"issn": [
"2191-219X"
],
"name": "EJNMMI Research",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "4"
}
],
"keywords": [
"progression-free survival",
"overall survival",
"pilot study",
"advanced non-small cell lung cancer",
"day 4",
"non-small cell lung cancer",
"bevacizumab-based regimen",
"bevacizumab maintenance therapy",
"peak standardized uptake value",
"non-small cell lung cancer (NSCLC) tumors",
"cell lung cancer tumors",
"cell lung cancer",
"ConclusionsThis pilot study",
"standardized uptake value",
"non-tumor tissues",
"lung cancer tumors",
"positron emission tomography",
"static PET scans",
"bevacizumab chemotherapy",
"maintenance therapy",
"NSCLC patients",
"bevacizumab treatment",
"tumor response",
"predictive biomarkers",
"lung cancer",
"PET scans",
"tracer uptake",
"uptake value",
"tumor tissue",
"emission tomography",
"patients",
"cancer tumors",
"PET imaging",
"antitumor therapy",
"significant correlation",
"therapy",
"further investigation",
"survival",
"tissue",
"uptake",
"NSCLC",
"regimen",
"chemotherapy",
"tumors",
"cancer",
"SUVpeak",
"biomarkers",
"study",
"MBq",
"tomography",
"scans",
"treatment",
"injection",
"CPB",
"correlation",
"imaging",
"positive trend",
"aim",
"response",
"time",
"investigation",
"trends",
"values",
"technique"
],
"name": "Pilot study of 89Zr-bevacizumab positron emission tomography in patients with advanced non-small cell lung cancer",
"pagination": "35",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1046739715"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s13550-014-0035-5"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"26055936"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s13550-014-0035-5",
"https://app.dimensions.ai/details/publication/pub.1046739715"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:30",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_646.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1186/s13550-014-0035-5"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/s13550-014-0035-5'
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/s13550-014-0035-5'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13550-014-0035-5'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13550-014-0035-5'
This table displays all metadata directly associated to this object as RDF triples.
200 TRIPLES
22 PREDICATES
94 URIs
82 LITERALS
7 BLANK NODES