Comparison of methods for donor-derived cell-free DNA quantification in plasma and urine from solid organ transplant recipients.

Kueng, Nicholas; Arcioni, Séverine; Sandberg, Fanny; Kuhn, Christian; Banz, Vanessa; Largiadèr, Carlo R; Sidler, Daniel; Amstutz, Ursula (2023). Comparison of methods for donor-derived cell-free DNA quantification in plasma and urine from solid organ transplant recipients. Frontiers in genetics, 14(1089830), p. 1089830. Frontiers Media SA 10.3389/fgene.2023.1089830

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In allograft monitoring of solid organ transplant recipients, liquid biopsy has emerged as a novel approach using quantification of donor-derived cell-free DNA (dd-cfDNA) in plasma. Despite early clinical implementation and analytical validation of techniques, direct comparisons of dd-cfDNA quantification methods are lacking. Furthermore, data on dd-cfDNA in urine is scarce and high-throughput sequencing-based methods so far have not leveraged unique molecular identifiers (UMIs) for absolute dd-cfDNA quantification. Different dd-cfDNA quantification approaches were compared in urine and plasma of kidney and liver recipients: A) Droplet digital PCR (ddPCR) using allele-specific detection of seven common HLA-DRB1 alleles and the Y chromosome; B) high-throughput sequencing (HTS) using a custom QIAseq DNA panel targeting 121 common polymorphisms; and C) a commercial dd-cfDNA quantification method (AlloSeq® cfDNA, CareDx). Dd-cfDNA was quantified as %dd-cfDNA, and for ddPCR and HTS using UMIs additionally as donor copies. In addition, relative and absolute dd-cfDNA levels in urine and plasma were compared in clinically stable recipients. The HTS method presented here showed a strong correlation of the %dd-cfDNA with ddPCR (R 2 = 0.98) and AlloSeq® cfDNA (R 2 = 0.99) displaying only minimal to no proportional bias. Absolute dd-cfDNA copies also correlated strongly (τ = 0.78) between HTS with UMI and ddPCR albeit with substantial proportional bias (slope: 0.25; 95%-CI: 0.19-0.26). Among 30 stable kidney transplant recipients, the median %dd-cfDNA in urine was 39.5% (interquartile range, IQR: 21.8-58.5%) with 36.6 copies/μmol urinary creatinine (IQR: 18.4-109) and 0.19% (IQR: 0.01-0.43%) with 5.0 copies/ml (IQR: 1.8-12.9) in plasma without any correlation between body fluids. The median %dd-cfDNA in plasma from eight stable liver recipients was 2.2% (IQR: 0.72-4.1%) with 120 copies/ml (IQR: 85.0-138) while the median dd-cfDNA copies/ml was below 0.1 in urine. This first head-to-head comparison of methods for absolute and relative quantification of dd-cfDNA in urine and plasma supports a method-independent %dd-cfDNA cutoff and indicates the suitability of the presented HTS method for absolute dd-cfDNA quantification using UMIs. To evaluate the utility of dd-cfDNA in urine for allograft surveillance, absolute levels instead of relative amounts will most likely be required given the extensive variability of %dd-cfDNA in stable kidney recipients.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Institute of Clinical Chemistry
04 Faculty of Medicine > Department of Dermatology, Urology, Rheumatology, Nephrology, Osteoporosis (DURN) > Clinic of Nephrology and Hypertension
04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine > Visceral Surgery

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Küng, Nicholas Fabian, Sandberg, Fanny Kristina, Kuhn, Christian Tobias, Banz Wüthrich, Vanessa, Largiadèr, Carlo Rodolfo, Sidler, Daniel (A), Amstutz, Ursula

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1664-8021

Publisher:

Frontiers Media SA

Language:

English

Submitter:

Pubmed Import

Date Deposited:

14 Feb 2023 11:23

Last Modified:

29 Mar 2023 23:38

Publisher DOI:

10.3389/fgene.2023.1089830

PubMed ID:

36777723

Uncontrolled Keywords:

biomarker cell-free DNA dd-cfDNA ddPCR high-throughput sequencing kidney transplant liver transplant urine

BORIS DOI:

10.48350/178743

URI:

https://boris.unibe.ch/id/eprint/178743

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