dgn-np:NP292608.RAdO5gxHSJvavG4C5XJaf8lpbI6V9qnOs8rMU1mkx4yLA130_provenance {
  dgn-np:NP292608.RAdO5gxHSJvavG4C5XJaf8lpbI6V9qnOs8rMU1mkx4yLA130_assertion dcterms:description "[Epidermal growth factor (EGF) receptor (EGFR) mutations are the best illustration of the therapeutic relevance of identifying such molecular clusters of lung cancer based on driver genetic alterations that predict the efficacy of specific tyrosine kinase inhibitors, a strategy referred to as `personalized medicine.` Besides EGFR and ALK, other genes harboring driver molecular alterations have been identified as part of integrated genomic studies of lung cancers.]. 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:23307186 ;
    prov:wasDerivedFrom dgn-void:befree-20140225 ;
    prov:wasGeneratedBy eco:ECO_0000203 .
  dgn-void:befree-20140225 pav:importedOn "2014-02-25"^^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 .
}