@prefix this: . @prefix sub: . @prefix rdfs: . @prefix xsd: . @prefix sio: . @prefix lld: . @prefix miriam-gene: . @prefix miriam-pubmed: . @prefix eco: . @prefix wi: . @prefix prov: . @prefix pav: . @prefix prv: . @prefix dcterms: . @prefix np: . @prefix dgn-gda: . @prefix dgn-void: . sub:head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:publicationInfo; a np:Nanopublication . } sub:assertion { dgn-gda:DGNeb299bc52a4a64d90020d0f2aa1b2864 sio:SIO_000628 miriam-gene:2064, lld:C0006142; a sio:SIO_001121 . } sub:provenance { sub: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; prov:wasGeneratedBy eco:ECO_0000203 . dgn-void:BEFREE pav:importedOn "2017-02-19"^^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 . } sub:publicationInfo { this: dcterms:created "2017-10-17T13:12:22+02:00"^^xsd:dateTime; dcterms:rights ; dcterms:rightsHolder dgn-void:IBIGroup; dcterms:subject sio:SIO_000983; prv:usedData dgn-void:disgenetv3.0rdf; pav:authoredBy , , , , ; pav:createdBy ; pav:version "v5.0.0.0" . dgn-void:disgenetv3.0rdf pav:version "v5.0.0" . }