Ontology type: schema:ScholarlyArticle Open Access: True
2017-12
AUTHORSAngela Ogden, Chakravarthy Garlapati, Xiaoxian Bill Li, Ravi Chakra Turaga, Gabriela Oprea-Ilies, Nikita Wright, Shristi Bhattarai, Karuna Mittal, Ceyda Sönmez Wetherilt, Uma Krishnamurti, Michelle D Reid, Mildred Jones, Meenakshi Gupta, Remus Osan, Sonal Pattni, Ansa Riaz, Sergey Klimov, Arundhati Rao, Guilherme Cantuaria, Padmashree C G Rida, Ritu Aneja
ABSTRACTNuclear KIFC1 (nKIFC1) predicts worse outcomes in breast cancer, but its prognostic value within racially distinct triple-negative breast cancer (TNBC) patients is unknown. Thus, nKIFC1 expression was assessed by immunohistochemistry in 163 African American (AA) and 144 White TNBC tissue microarrays (TMAs) pooled from four hospitals. nKIFC1 correlated significantly with Ki67 in White TNBCs but not in AA TNBCs, suggesting that nKIFC1 is not merely a surrogate for proliferation in AA TNBCs. High nKIFC1 weighted index (WI) was associated with significantly worse overall survival (OS), progression-free survival (PFS), and distant metastasis-free survival (DMFS) (Hazard Ratios [HRs] = 3.5, 3.1, and 3.8, respectively; P = 0.01, 0.009, and 0.007, respectively) in multivariable Cox models in AA TNBCs but not White TNBCs. Furthermore, KIFC1 knockdown more severely impaired migration in AA TNBC cells than White TNBC cells. Collectively, these data suggest that nKIFC1 WI an independent biomarker of poor prognosis in AA TNBC patients, potentially due to the necessity of KIFC1 for migration in AA TNBC cells. More... »
PAGES42289
http://scigraph.springernature.com/pub.10.1038/srep42289
DOIhttp://dx.doi.org/10.1038/srep42289
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/28218233
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{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"28218233"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101563288"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
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]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
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],
"sameAs": [
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],
"sdDataset": "articles",
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"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
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},
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"type": "ScholarlyArticle",
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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/srep42289'
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/srep42289'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep42289'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep42289'
This table displays all metadata directly associated to this object as RDF triples.
362 TRIPLES
21 PREDICATES
68 URIs
35 LITERALS
23 BLANK NODES