. . . . . . . "[Among computationally predicted targets of miR-155, we identified ZNF652 (r = -0.57, P = .05), BACH1 (r = 0.88, P = .02), RBAK (r = 0.81, P = .05), TRIM32 (r = 0.92, P = .01), E2F2 (r = 0.81, P = .05), and TP53INP1 (r = -0.31, P = .03) as genes whose expression by quantitative real-time polymerase chain reaction correlated significantly with the level of miR-155 in ALCL tumor tissue.]. 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 . "2017-10-17T13:12:08+02:00"^^ . . . . . . . . . . . "v5.0.0.0" . "v5.0.0" .