[Two microRNA panels yielded high diagnostic accuracy in discriminating SCLC from NSCLC (miR-29a and miR-375; area under the curve [AUC], 0.991 and 0.982 for training and validation data set, respectively) and in differentiating SQ from AC (miR-205 and miR-34a; AUC, 0.977 and 0.982 for training and validation data set, respectively) in FFPE surgical lung specimens.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
Gene-disease associations inferred from text-mining the literature.
DisGeNET evidence - LITERATURE