dgn-np:NP890060.RAnd3Zg2RUsWmnXvtQ8SkrQXiNItYCHoCjCVB5KAdvi00130_provenance {
  dgn-np:NP890060.RAnd3Zg2RUsWmnXvtQ8SkrQXiNItYCHoCjCVB5KAdvi00130_assertion dcterms:description "[Using a previously published logistic regression approach, we generated a rapamycin response signature from Connectivity Map gene expression data and used it to predict rapamycin sensitivity in 1,401 human breast cancers of different intrinsic subtypes, prompting in vivo testing of mTOR inhibitors and doxorubicin in our TNBC xenografts.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en ;
    wi:evidence dgn-void:source_evidence_literature ;
    sio:SIO_000772 miriam-pubmed:24708766 ;
    prov:wasDerivedFrom dgn-void:befree-20150227 ;
    prov:wasGeneratedBy eco:ECO_0000203 .
  dgn-void:befree-20150227 pav:importedOn "2015-02-27"^^xsd:date .
  dgn-void:source_evidence_literature a eco:ECO_0000212 ;
    rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en ;
    rdfs:label "DisGeNET evidence - LITERATURE"@en .
}