Progressive decline of function in renal allografts with normal 1-year biopsies: Gene expression studies fail to identify a classifier
Recommended Citation
Park WD, Kim DY, Mai ML, Reddy KS, Gonwa T, Ryan MS, Herrera Hernandez LP, Smith ML, Geiger XJ, Turkevi-Nagy S, Cornell LD, Smith BH, Kremers WK, and Stegall MD. Progressive decline of function in renal allografts with normal one year biopsies: Gene expression studies fail to identify a classifier. Clin Transplant 2021.
Document Type
Article
Publication Date
12-1-2021
Publication Title
Clinical transplantation
Abstract
Histologic findings on 1-year biopsies such as inflammation with fibrosis and transplant glomerulopathy predict renal allograft loss by 5 years. However, almost half of the patients with graft loss have a 1-year biopsy that is either normal or has only interstitial fibrosis. The goal of this study was to determine if there was a gene expression profile in these relatively normal 1-year biopsies that predicted subsequent decline in renal function. Using transcriptome microarrays we measured intragraft mRNA levels in a retrospective Discovery cohort (170 patients with a normal/minimal fibrosis 1-year biopsy, 54 with progressive decline in function/graft loss and 116 with stable function) and developed a nested 10-fold cross-validated gene classifier that predicted progressive decline in renal function (positive predictive value = 38 ± 34%%; negative predictive value = 73 ± 30%, c-statistic = .59). In a prospective, multicenter Validation cohort (270 patients with Normal/Interstitial Fibrosis [IF]), the classifier had a 20% positive predictive value, 85% negative predictive value and .58 c-statistic. Importantly, the majority of patients with graft loss in the prospective study had 1-year biopsies scored as Normal or IF. We conclude predicting graft loss in many renal allograft recipients (i.e., those with a relatively normal 1-year biopsy and eGFR > 40) remains difficult.
Medical Subject Headings
Transplant and Abdominal Surgery
PubMed ID
34717009
ePublication
ePub ahead of print
Volume
35
Issue
12
First Page
14456
Last Page
14456