Abstract
To analyse long noncoding RNAs (lncRNA) in kidney transplant biopsies. Using a data mining approach, we constructed expression profiles in kidney transplant cohorts (n=1105) from Gene Expression Omnibus. Integrative analysis of the lncRNAs with acute rejection (AR), T-cell-mediated acute rejection (TCMR) and graft loss were performed. Six lncRNAs were identified as are associated with AR in the training and validating datasets, and with a risk score was generated with 3-lncRNAs that were predictive of graft loss (AUC=0.73). MIR155HG is associated with AR, TCMR and graft loss. Plus it might be involved in several graft rejection and immune associated pathways. Understanding the role of lncRNAs in AR and graft outcome in kidney transplant biopsies needs to be further investigated.
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