dgn-np:NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance {
  dgn-np:NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_assertion dcterms:description "[Strong correlations (0.68 ≤ r ≤ 1.0) were observed between PIK3C3 and PIM3 in breast cancer, between PIK3C3 and PTEN in breast and ovary cancers, and between PIM3 and PTEN in breast, kidney, liver, and thyroid cancers during disease progression, implicating that the correlations for cancer network gene expressions could serve as a supplement to current clinical biomarkers, such as cancer antigens, for early cancer diagnosis.]. 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:24818135 ;
    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 .
}