Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSMaxime Patout, Florian Guisier, Xavier Brune, Pierre Bohn, Anthony Romieu, Nasrin Sarafan-Vasseur, Richard Sesboüé, Pierre-Yves Renard, Luc Thiberville, Mathieu Salaün
ABSTRACTBACKGROUND: EGFR mutations are routinely explored in lung adenocarcinoma by sequencing tumoral DNA. The aim of this study was to evaluate a fluorescent-labelled erlotinib based theranostic agent for the molecular imaging of mutated EGFR tumours in vitro and ex vivo using a mice xenograft model and fibred confocal fluorescence microscopy (FCFM). METHODS: The fluorescent tracer was synthesized in our laboratory by addition of fluorescein to an erlotinib molecule. Three human adenocarcinoma cell lines with mutated EGFR (HCC827, H1975 and H1650) and one with wild-type EGFR (A549) were xenografted on 35 Nude mice. MTT viability assay was performed after exposure to our tracer. In vitro imaging was performed at 1 μM tracer solution, and ex vivo imaging was performed on fresh tumours excised from mice and exposed to a 1 μM tracer solution in PBS for 1 h. Real-time molecular imaging was performed using FCFM and median fluorescence intensity (MFI) was recorded for each experiment. RESULTS: MTT viability assay confirmed that addition of fluorescein to erlotinib did not suppress the cytotoxic of erlotinib on tumoral cells. In vitro FCFM imaging showed that our tracer was able to distinguish cell lines with mutated EGFR from those lines with wild-type EGFR (p < 0.001). Ex vivo FCFM imaging of xenografts with mutated EGFR had a significantly higher MFI than wild-type (p < 0.001). At a cut-off value of 354 Arbitrary Units, MFI of our tracer had a sensitivity of 100% and a specificity of 96.3% for identifying mutated EGFR tumours. CONCLUSION: Real time molecular imaging using fluorescent erlotinib is able to identify ex vivo tumours with EGFR mutations. More... »
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DOIhttp://dx.doi.org/10.1186/s12890-018-0760-z
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30612556
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"description": "BACKGROUND: EGFR mutations are routinely explored in lung adenocarcinoma by sequencing tumoral DNA. The aim of this study was to evaluate a fluorescent-labelled erlotinib based theranostic agent for the molecular imaging of mutated EGFR tumours in vitro and ex vivo using a mice xenograft model and fibred confocal fluorescence microscopy (FCFM).\nMETHODS: The fluorescent tracer was synthesized in our laboratory by addition of fluorescein to an erlotinib molecule. Three human adenocarcinoma cell lines with mutated EGFR (HCC827, H1975 and H1650) and one with wild-type EGFR (A549) were xenografted on 35 Nude mice. MTT viability assay was performed after exposure to our tracer. In vitro imaging was performed at 1\u2009\u03bcM tracer solution, and ex vivo imaging was performed on fresh tumours excised from mice and exposed to a 1\u2009\u03bcM tracer solution in PBS for 1 h. Real-time molecular imaging was performed using FCFM and median fluorescence intensity (MFI) was recorded for each experiment.\nRESULTS: MTT viability assay confirmed that addition of fluorescein to erlotinib did not suppress the cytotoxic of erlotinib on tumoral cells. In vitro FCFM imaging showed that our tracer was able to distinguish cell lines with mutated EGFR from those lines with wild-type EGFR (p\u2009<\u20090.001). Ex vivo FCFM imaging of xenografts with mutated EGFR had a significantly higher MFI than wild-type (p\u2009<\u20090.001). At a cut-off value of 354 Arbitrary Units, MFI of our tracer had a sensitivity of 100% and a specificity of 96.3% for identifying mutated EGFR tumours.\nCONCLUSION: Real time molecular imaging using fluorescent erlotinib is able to identify ex vivo tumours with EGFR mutations.",
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"type": "PropertyValue",
"value": [
"5c275ccb8b076c31594449bb3c287a745bd119f13f164fcf04155621e602cfcd"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30612556"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100968563"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s12890-018-0760-z"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1111218489"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s12890-018-0760-z",
"https://app.dimensions.ai/details/publication/pub.1111218489"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T08:37",
"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/v90/0000000315_0000000315/records_6319_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs12890-018-0760-z"
}
]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/s12890-018-0760-z'
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/s12890-018-0760-z'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12890-018-0760-z'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12890-018-0760-z'
This table displays all metadata directly associated to this object as RDF triples.
292 TRIPLES
21 PREDICATES
75 URIs
21 LITERALS
9 BLANK NODES