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. 2019 Nov 11;11(11):1773. doi: 10.3390/cancers11111773

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© 2019 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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General scheme of the miRNA profiling study design. In the discovery phase 10 patients were enrolled and analyzed through a Genechip miRNA 3.0 array. Patients were divided into two groups, with-HCC (subjects developing HCC after DAA treatment) and without-HCC (subjects not developing HCC after DAA treatment). Samples were analyzed at T0 and T1. Subsequently, miRNA candidates were assessed by qRT-PCR in 30 patients (validation cohort). MiRNA biomarkers were selected by estimating the time-averaged difference of a given miRNA between subjects with HCC vs. without HCC using a bootstrapped random-effect generalized least square regression model (RE-GLS).