dgn-np:NP809684.RALR893c1na-0fgmwBdJzp-Cd4qgn5HG8nDVYq41Xr9o4130_provenance {
  dgn-np:NP809684.RALR893c1na-0fgmwBdJzp-Cd4qgn5HG8nDVYq41Xr9o4130_assertion dcterms:description "[For many years, patient age, axillary lymph node status, tumor size, histological features (especially histological grade and lymphovascular invasion), hormone receptor status, and HER2 status have been the major factors used to categorize patients with breast cancer in order to assess prognosis and determine the appropriate therapy.]. 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:20436504 ;
    prov:wasDerivedFrom dgn-void:befree-2016 ;
    prov:wasGeneratedBy eco:ECO_0000203 .
  dgn-void:befree-2016 pav:importedOn "2016-02-19"^^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 .
}