Immune-Related Genes for Predicting Future Kidney Graft Loss: A Study Based on GEO Database.

ABSTRACT:

Objective

We aimed to identify feature immune-related genes that correlated with graft rejection and to develop a prognostic model based on immune-related genes in kidney transplantation.

Methods

Gene expression profiles were obtained from the GEO database. The GSE36059 dataset was used as a discovery cohort. Then, differential expression analysis and a machine learning method were performed to select feature immune-related genes. After that, univariate and multivariate Cox regression analyses were used to identify prognosis-related genes. A novel Riskscore model was built based on the results of multivariate regression. The levels of these feature genes were also confirmed in an independent single-cell dataset and other GEO datasets.

Results

15 immune-related genes w

SUBMITTER: Dou M 

PROVIDER: S-EPMC8913884 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature