Literature DB >> 34774309

Incorporation of Donor-derived Cell-free DNA Into Clinical Practice for Renal Allograft Management.

Yasir Qazi1, Anup Patel2, Mark Fajardo3, Sarah McCormick3, Gordon Fehringer3, Ebad Ahmed3, Meenakshi Malhotra3, Zachary P Demko3, Paul R Billings3, Hossein Tabriziani3, Philippe Gauthier4.   

Abstract

BACKGROUND: Donor-derived cell-free DNA (dd-cfDNA) in plasma is an established noninvasive biomarker for allograft injury and rejection. A single-nucleotide polymorphism (SNP)-based massively multiplexed polymerase chain reaction methodology can be used to quantify dd-cfDNA in kidney transplant recipients. In this study we describe our clinical experience in using a SNP-based dd-cfDNA assay for the management of active rejection in renal transplant recipients.
METHODS: To assess the clinical utility of a clinically available SNP-based massively multiplexed polymerase chain reaction dd-cfDNA assay, we analyzed biopsy data contemporaneous to dd-cfDNA results at 33 participating clinics and calculated the rate of rejection in dd-cfDNA-matched biopsy results.
RESULTS: A total of 1347 dd-cfDNA test samples from 879 patients were accessioned from October 3, 2019, to November 2, 2020. The dd-cfDNA testing classified 25.2% (340/1347) of samples as high-risk (dd-cfDNA fraction ≥ 1%). Clinical follow-up was available for 32.1% (109/340) of the high-risk results, which included samples from 28 patients with definitive biopsy results within 2 weeks of dd-cfDNA testing. Pathology reports indicated a 64% (18/28) rate of active rejection in biopsy result-matched samples. Total cfDNA measurements indicated a skewed distribution and a correlation with dd-cfDNA-derived patient risk classification.
CONCLUSIONS: This is the first report showing the impact of dd-cfDNA on patient management in a multicenter real-world clinical cohort. The data indicate that incorporating dd-cfDNA testing into practice may improve physician decision making regarding renal allograft recipients.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34774309     DOI: 10.1016/j.transproceed.2021.09.027

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  1 in total

1.  Association Between Total Cell Free DNA and SARS-CoV-2 In Kidney Transplant Patients: A Preliminary Study.

Authors:  Jose Otto Reusing; Jongwon Yoo; Amishi Desai; Katya Brossart; Sarah McCormick; Allyson Koyen Malashevich; Michelle S Bloom; Gordon Fehringer; Roseann White; Paul R Billings; Hossein Tabriziani; Zachary P Demko; Philippe Gauthier; Sanjeev K Akkina; Elias David-Neto
Journal:  Transplant Proc       Date:  2022-03-15       Impact factor: 1.014

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.