Publication

The kSORT Assay to Detect Renal Transplant Patients at High Risk for Acute Rejection: Results of the Multicenter AART Study

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Last modified
  • 05/15/2025
Type of Material
Authors
    Silke Roedder, University of California, San FranciscoTara Sigdel, University of California, San FranciscoNathan Salomonis, Cincinnati Children's Hospital Medical CenterSue Hsieh, University of California, San FranciscoHong Dai, California Pacific Medical CenterOriol Bestard, Bellvitge University HospitalDiana Metes, University of PittsburghAndrea Zeevi, University of PittsburghAlbin Gritsch, University of California, Los AngelesJennifer Cheeseman, Emory UniversityCamila Macedo, University of PittsburghRam Peddy, California Pacific Medical CenterMara Medeiros, Hospital Infantil de México Federico GómezFlavio Vincenti, University of California, San FranciscoNancy Asher, University of California, San FranciscoOscar Salvatierra, Stanford UniversityRon Shapiro, University of PittsburghAllan Kirk, Emory UniversityElaine Reed, University of California, Los AngelesMinnie M. Sarwal, University of California, San Francisco
Language
  • English
Date
  • 2014-11-01
Publisher
  • Public Library of Science
Publication Version
Copyright Statement
  • © 2014 Roedder et al.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1549-1277
Volume
  • 11
Issue
  • 11
Start Page
  • e1001759
End Page
  • e1001759
Grant/Funding Information
  • The study was funded by the NIAID U01AI077821 (http://www.niaid.nih.gov); Mexican Federal Funds for Research (Ssa.746); NIH R01 AI042819 (http://grants.nih.gov); Spanish national public grant (PI13/01263); and a European Commission grant within the BIODRIM Consortium (12CEE014 Bio-Drim).
Supplemental Material (URL)
Abstract
  • Development of noninvasive molecular assays to improve disease diagnosis and patient monitoring is a critical need. In renal transplantation, acute rejection (AR) increases the risk for chronic graft injury and failure. Noninvasive diagnostic assays to improve current late and nonspecific diagnosis of rejection are needed. We sought to develop a test using a simple blood gene expression assay to detect patients at high risk for AR. We developed a novel correlation-based algorithm by step-wise analysis of gene expression data in 558 blood samples from 436 renal transplant patients collected across eight transplant centers in the US, Mexico, and Spain between 5 February 2005 and 15 December 2012 in the Assessment of Acute Rejection in Renal Transplantation (AART) study. Gene expression was assessed by quantitative real-time PCR (QPCR) in one center. A 17-gene set—the Kidney Solid Organ Response Test (kSORT)—was selected in 143 samples for AR classification using discriminant analysis (area under the receiver operating characteristic curve [AUC] = 0.94; 95% CI 0.91–0.98), validated in 124 independent samples (AUC = 0.95; 95% CI 0.88–1.0) and evaluated for AR prediction in 191 serial samples, where it predicted AR up to 3 mo prior to detection by the current gold standard (biopsy). A novel reference-based algorithm (using 13 12-gene models) was developed in 100 independent samples to provide a numerical AR risk score, to classify patients as high risk versus low risk for AR. kSORT was able to detect AR in blood independent of age, time post-transplantation, and sample source without additional data normalization; AUC = 0.93 (95% CI 0.86–0.99). Further validation of kSORT is planned in prospective clinical observational and interventional trials. The kSORT blood QPCR assay is a noninvasive tool to detect high risk of AR of renal transplants.
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Research Categories
  • Health Sciences, Medicine and Surgery

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