Ontology type: schema:ScholarlyArticle
2018-10
AUTHORSKristina Golfmann, Lydia Meder, Mirjam Koker, Caroline Volz, Sven Borchmann, Lars Tharun, Felix Dietlein, Florian Malchers, Alexandra Florin, Reinhard Büttner, Neal Rosen, Vanessa Rodrik-Outmezguine, Michael Hallek, Roland T. Ullrich
ABSTRACTFGFR1 amplification has been found in 15% of patients with breast cancer and has been postulated as a promising marker to predict response against FGFR inhibitors. However, early phase clinical trials of selective FGFR inhibitors demonstrated only limited efficacy in FGFR1-amplified breast cancer patients. We found that BGJ398, an FGFR inhibitor, effectively inhibited phosphorylation of FGFR1 and MEK/ERK signaling in FGFR1-amplified breast cancer without affecting tumor cell proliferation. However, FGFR1 knockout inhibited tumor angiogenesis in vivo. We unraveled that FGFR1 regulates the secretion of the proangiogenic vascular endothelial growth factor (VEGF) in a MAPK-dependent manner. We further found that FGF-FGFR1 signaling induces an autocrine activation of VEGF-VEGFR1 pathway that again amplifies VEGF secretion via VEGF-VEGFR1-AKT signaling. Targeting both VEGFR1 and FGFR1 resulted in synergistic anti-angiogenic treatment effects in vivo. We thus postulate synergistic treatment effects in FGFR1/VEGFR1-positive breast cancer patients by dual targeting of FGFR and VEGFR. More... »
PAGES5682-5693
http://scigraph.springernature.com/pub.10.1038/s41388-018-0380-3
DOIhttp://dx.doi.org/10.1038/s41388-018-0380-3
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29970903
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"type": "PropertyValue",
"value": [
"8711562"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41388-018-0380-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1105266314"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41388-018-0380-3",
"https://app.dimensions.ai/details/publication/pub.1105266314"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:38",
"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_113676_00000004.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41388-018-0380-3"
}
]
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.10.1038/s41388-018-0380-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41388-018-0380-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41388-018-0380-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41388-018-0380-3'
This table displays all metadata directly associated to this object as RDF triples.
336 TRIPLES
21 PREDICATES
74 URIs
41 LITERALS
29 BLANK NODES