dgn-np:NP948766.RAhLZmItT-fzf2pyBX8ZuZJGjHAGc0d9WtKG2_ILD87Yo130_provenance {
  dgn-np:NP948766.RAhLZmItT-fzf2pyBX8ZuZJGjHAGc0d9WtKG2_ILD87Yo130_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-20150227 ;
    prov:wasGeneratedBy eco:ECO_0000203 .
  dgn-void:befree-20150227 pav:importedOn "2015-02-27"^^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 .
}