. . . . . . . . . . . . "[Specimens with p16+/ProExC+ results showed the highest specificity (100% for CIN 2+; 93% for CIN 3+), suggesting that these 2 biomarkers can be used together to distinguish CIN 2/3 from its mimics in cervical biopsy specimens.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2014-02-25"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2014-10-02T12:35:59+02:00"^^ . . . . . . . . . . . "v2.1.0.0" . "v2.1.0" .