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Donor-Derived Cell Free DNA: Is It All the Same?

Joseph K Melancon1, Ali Khalil2, Mark J Lerman2

  • 1Department of Surgery, The George Washington University Hospital, Washington, D.C.

Kidney360
|April 4, 2022
PubMed
Summary

Donor-derived cell-free DNA (dd-cfDNA) assays like AlloSure and Prospera show similar performance in detecting transplant rejection. However, AlloSure offers a faster turnaround time for patient results.

Keywords:
allograftsbiomarkercell-free nucleic acidsdd-cfDNAdiagnostic testsdonor derived cell free DNAkidney transplantationroutinetissue donorstransplantation

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Area of Science:

  • Transplantation immunology
  • Molecular diagnostics
  • Biomarker analysis

Background:

  • Donor-derived cell-free DNA (dd-cfDNA) is a valuable tool for monitoring transplant health and detecting allograft injury.
  • Clinical implementation of dd-cfDNA requires robust data and understanding of different assay methodologies.
  • Limited studies have directly compared commercially available dd-cfDNA assays.

Purpose of the Study:

  • To compare the clinical performance of two commercial dd-cfDNA assays: AlloSure and Prospera.
  • To evaluate assay concordance with histological findings and manufacturer guidelines.
  • To assess diagnostic accuracy metrics including sensitivity, specificity, and predictive values.

Main Methods:

  • Prospective assessment of 76 transplant patients with paired dd-cfDNA sampling.
  • Comparison of AlloSure and Prospera assay results against biopsy-proven rejection diagnoses.
  • Analysis of diagnostic performance at manufacturer-recommended cutoffs.

Main Results:

  • Prospera showed higher dd-cfDNA measurements than AlloSure, though not statistically significant (P=0.12).
  • No significant differences in sensitivity, specificity, PPV, or NPV were observed between AlloSure and Prospera for rejection detection.
  • AlloSure demonstrated a significantly shorter turnaround time (P=0.01) compared to Prospera.

Conclusions:

  • While dd-cfDNA assays are similar, they are not interchangeable due to potential differences in measurement and interpretation.
  • Consistent use of a single dd-cfDNA platform is crucial for reliable data comparison and clinical decision-making.
  • Further evidence generation is needed to fully establish the clinical utility and optimize implementation of dd-cfDNA testing.