dgn-np:NP424021.RA1gbcYznMaM5VDTTBPcXAJttMSCGlBAw0cZe8kT1Bh4o130_provenance {
  dgn-np:NP424021.RA1gbcYznMaM5VDTTBPcXAJttMSCGlBAw0cZe8kT1Bh4o130_assertion dcterms:description "[The issue consisted mainly of making the distinction between an SS and a poorly differentiated spindle cell sarcoma (n = 49), a poorly differentiated round cell sarcoma (n = 34), a carcinoma (n = 11), a myoepithelioma (n = 8), or an epithelioid fibrosarcoma (n = 5).Twenty-six tumor specimens (24.3%) contained SYT-SSX transcripts-10, 7, 5, 3, and 1 in the spindle cell tumor, round cell tumor, carcinomalike tumor, myoepitheliomalike tumor, and epithelioid-fibrosarcoma-like tumor categories, respectively.]. 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:14669292 ;
    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 .
}