. . . . . . . . . . . . "[The classification and regression tree analysis showed that the combined results of p16 (INK4a)/Ki-67 andL1 capsid protein immunostaining and the HR-HPV test, conducted sequentially, correctly classified 81.8% of samples (27/33)in the prediction of a histology of CIN2 + in ASC-H or LSIL-H. For determination of the histology of cervical intraepithelial neoplasia grade 3+ (CIN3+)in ASC-H or LSIL-H, we found that the combined results of p16 (INK4a)/Ki-67 and L1 capsid protein immunostaining correctly classified 78.8% (26/33) of samples.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2015-02-27"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2015-08-25T14:40:35+02:00"^^ . . . . . . . . . . . "v3.0.0.0" . "v3.0.0" .