Aim: To analyse long noncoding RNAs (lncRNA) in kidney transplant biopsies.
Methods: 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.
Results: 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.
Conclusion: Understanding the role of lncRNAs in AR and graft outcome in kidney transplant biopsies needs to be further investigated.
Keywords: MIR155HG; T-cell-mediated acute rejection; acute rejection; biomarker; data minding; graft loss; immune; kidney transplant; long noncoding RNA; signature.