Ontology type: schema:ScholarlyArticle
2017-10-26
AUTHORSAlessandra Santangelo, Pietro Imbrucè, Beatrice Gardenghi, Laura Belli, Rina Agushi, Anna Tamanini, Silvia Munari, Alessandra Maria Bossi, Ilaria Scambi, Donatella Benati, Raffaella Mariotti, Gianfranco Di Gennaro, Andrea Sbarbati, Albino Eccher, Giuseppe Kenneth Ricciardi, Elisa Maria Ciceri, Francesco Sala, Giampietro Pinna, Giuseppe Lippi, Giulio Cabrini, Maria Cristina Dechecchi
ABSTRACTMalignant gliomas, the most frequent primary brain tumors, are characterized by a dismal prognosis. Reliable biomarkers complementary to neuroradiology in the differential diagnosis of gliomas and monitoring for post-surgical progression are unmet needs. Altered expression of several microRNAs in tumour tissues from patients with gliomas compared to normal brain tissue have been described, thus supporting the rationale of using microRNA-based biomarkers. Although different circulating microRNAs were proposed in association with gliomas, they have not been introduced into clinical practice so far. Blood samples were collected from patients with high and low grade gliomas, both before and after surgical resection, and the expression of miR-21, miR-222 and miR-124-3p was measured in exosomes isolated from serum. The expression levels of miR-21, miR-222 and miR-124-3p in serum exosomes of patients with high grade gliomas were significantly higher than those of low grade gliomas and healthy controls and were sharply decreased in samples obtained after surgery. The analysis of miR-21, miR-222 and miR-124-3p in serum exosomes of patients affected by gliomas can provide a minimally invasive and innovative tool to help the differential diagnosis of gliomas at their onset in the brain and predict glioma grading and non glial metastases before surgery. More... »
PAGES51-62
http://scigraph.springernature.com/pub.10.1007/s11060-017-2639-x
DOIhttp://dx.doi.org/10.1007/s11060-017-2639-x
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"type": "PropertyValue",
"value": [
"29076001"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11060-017-2639-x",
"https://app.dimensions.ai/details/publication/pub.1092353035"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:32",
"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_720.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s11060-017-2639-x"
}
]
Download the RDF metadata as:Â 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.10.1007/s11060-017-2639-x'
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/s11060-017-2639-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11060-017-2639-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11060-017-2639-x'
This table displays all metadata directly associated to this object as RDF triples.
382 TRIPLES
22 PREDICATES
112 URIs
90 LITERALS
20 BLANK NODES