dgn-np:NP598335.RAtHQBsS4LNE18Tg1Zb9J338_W3TMxZhSPLDvbmqXIpFM130_provenance {
  dgn-np:NP598335.RAtHQBsS4LNE18Tg1Zb9J338_W3TMxZhSPLDvbmqXIpFM130_assertion dcterms:description "[To determine whether molecular profiles can discriminate breast disease by grade, patterns and levels of allelic imbalance (AI) at 26 chromosomal regions frequently altered in breast disease were examined in 185 laser microdissected specimens representing well-differentiated (grade 1; n = 55), moderately-differentiated (grade 2; n = 71), and poorly-differentiated (grade 3; n = 59) stage I-IV breast tumors.]. 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:17351743 ;
    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 .
}