Prediction of Liver Transplant Rejection With a Biologically Relevant Gene Expression Signature.

ABSTRACT:

Background

Noninvasive biomarkers distinguishing early immune activation before acute rejection (AR) could more objectively inform immunosuppression management in liver transplant recipients (LTRs). We previously reported a genomic profile distinguishing LTR with AR versus stable graft function. This current study includes key phenotypes with other causes of graft dysfunction and uses a novel random forest approach to augment the specificity of predicting and diagnosing AR.

Methods

Gene expression results in LTRs with AR versus non-AR (combination of other causes of graft dysfunction and normal function) were analyzed from single and multicenter cohorts. A 70:30 approach (61 ARs; 162 non-ARs) was used for training and testing sets. Microarray data were normalized using a LT-

SUBMITTER: Levitsky J 

PROVIDER: S-EPMC9301991 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature