. . . . . . . "[Further analysis using leave?one-out cross predictions and Kaplan-Meier survival analysis strongly suggested that miR-30a* and miR-30e* can be used as biomarkers to tailor histological grade before starting the regimen, and they showed important roles in ovarian cancer differentiation resulting in poorer prognosis.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2017-02-19"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2017-10-17T13:19:22+02:00"^^ . . . . . . . . . . . "v5.0.0.0" . "v5.0.0" .