Dataset Information

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

ABSTRACT:

Background

Clinical utility of donor-derived, cellfree DNA (dd-cfDNA) in transplantation has been extensively reviewed, supporting its use as a surveillance tool for the early and accurate detection of allograft injury. Yet studies comparing different assay methods have been lacking.

Methods

Paired sampling of commercially available dd-cfDNA (AlloSure and Prospera) was compared and examined against histology and manufacturer guidance. A total of 76 patients were prospectively assessed, with 11 biopsy sample-proven rejections (antibody-mediated rejection, n=2; T cell-mediated rejection, n=9).

Results

Prospera demonstrated larger measurements of dd-cfDNA in comparison with AlloSure, but this was NS (P=0.12). At current manufacturer recommended diagnostic cutoffs, there was no significant difference in sensitivity, specificity, negative predictive value, or positive predictive value of AlloSure versus Prospera in detecting rejection. AlloSure demonstrated a significantly shorter turnaround time (P=0.01) from blood draw to patient result.

Conclusions

Although dd-cfDNAs are similar, they are not the same. Extensive evidence for dd-cfDNA interpretation remains the key to building clinical utility when considering clinical implementation, and remaining consistent to a single platform is important when creating data comparisons.

SUBMITTER: Melancon JK

PROVIDER: S-EPMC8815488 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Publications

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

Melancon Joseph K JK Khalil Ali A Lerman Mark J MJ

Kidney360 20200619 10

<h4>Background</h4>Clinical utility of donor-derived, cellfree DNA (dd-cfDNA) in transplantation has been extensively reviewed, supporting its use as a surveillance tool for the early and accurate detection of allograft injury. Yet studies comparing different assay methods have been lacking.<h4>Methods</h4>Paired sampling of commercially available dd-cfDNA (AlloSure and Prospera) was compared and examined against histology and manufacturer guidance. A total of 76 patients were prospectively asse ...[more]

PMID: 35368782

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Project description:There is a need to improve personalized immunosuppression in organ transplantation to reduce premature graft loss. Biomarkers are needed to better detect rejection, asymptomatic graft injury, and under-immunosuppression. Assessment of minimal necessary exposure to guide tapering and prevent immune activation is also important. There is robust clinical evidence from a large number of published studies supporting the role of dd-cfDNA for monitoring graft integrity and detection or exclusion of rejection. Dd-cfDNA indicates graft cell death without being rejection specific. It can be determined in plasma through droplet digital PCR using preselected SNPs or next generation sequencing. Changes in recipient cfDNA (e.g., by infection) can affect the results of dd-cfDNA fractional determination. This limitation can be overcome using absolute dd-cfDNA quantification. The combination of fractional and absolute determination including total cfDNA is recommended for meaningful interpretation of the results. The value proposition for the patient includes earlier transplant injury detection and intervention, less full blown rejection risk, an alternative to invasive biopsies, and personalized immunosuppression with potential for improved long-term outcome. Transplant physicians benefit from better immunosuppressive guidance and having an alternative when biopsies are refused or contraindicated. Further advantages are improved biopsy interpretation, less trial and error changes in immunosuppression, and less time dealing with complications. The laboratory medicine specialist can provide more effective services. Hospital management and insurance companies could benefit from more cost-effective surveillance of transplant recipients. Potential cost savings would result from fewer biopsies as a result of the tests' high negative predictive value, fewer re-transplantations, and less organ failure with return to dialysis. A pathway to implementation and metrics is suggested to measure the effectiveness of dd-cfDNA testing.

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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