A possible role of miRNAs as predictive markers for the recurrence of XXXX after liver transplantation.

@entity1 @entity70836 @entity5 @entity15453 @entity157 @entity204
UNASSIGNED: With favourable 5-year survival rates up to 75%, liver transplantation (LT) is the treatment of @entity157 ( @entity157 ). Nonetheless, @entity5 recurrence after LT remains a challenge. The aim of this retrospective study was to develop a predictive score for @entity5 recurrence after LT by combining clinical parameters with @entity157 biomarkers (microRNA). A microRNA microarray analysis was used to compare microRNA expression patterns in tissue samples of 40 @entity1 with and without @entity157 recurrence after LT. In a screening cohort (n=18), the microRNA analysis identified significant differences in the expression of 13 microRNAs in @entity1 with @entity5 recurrence. Using the most significant microRNAs in this screening cohort, we could develop a predictive score, which combined the expression levels of @entity15453 , @entity70836 and the Milan criteria, and we could define low- and high-risk groups for @entity5 recurrence and @entity204 . The above score was evaluated in a second and independent cohort (n=22). In contrast to the Milan criteria alone, this score was significantly associated with @entity5 recurrence. Our analysis indicated that the use of a specific microRNA expression pattern in combination with a limited @entity5 burden as defined by the Milan criteria may lead to a more accurate prediction of @entity5 recurrence. This article is protected by copyright. All rights reserved.
