Quantitative scoring of progression in transplant glomerulopathy using digital pathology may be superior to Banff cg scoring.


Journal

Kidney international
ISSN: 1523-1755
Titre abrégé: Kidney Int
Pays: United States
ID NLM: 0323470

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 22 04 2022
revised: 31 08 2022
accepted: 31 10 2022
pubmed: 28 11 2022
medline: 25 1 2023
entrez: 27 11 2022
Statut: ppublish

Résumé

Antibody-mediated rejection (ABMR) is a major cause of kidney allograft failure. Biopsy-based surrogate endpoints reflecting ABMR progression on sequential biopsies that predict long-term outcome offer the potential to make treatment trials for ABMR feasible. However, the Banff transplant glomerulopathy (TG) scoring system (chronic glomerular injury score [cg]) relies on relatively crude and arbitrary ordinal grades and has low inter-observer concordance that currently limits its usefulness as a surrogate endpoint for ABMR progression in clinical drug trials. Here, we describe and validate a novel quantitative method for quantifying progression of TG in ABMR. Using digital pathology in sequential biopsies from 75 patients at various stages of ABMR, we scored all capillaries in the most affected glomeruli for basement membrane duplication that were correlated with allograft function, outcome, Banff lesion scores, and gene expression. Our digital scoring reflected TG progression better than the categorical Banff cg score and correlated with Banff ABMR and chronicity lesions, but not transcript changes. In multivariate analysis, the delta change between biopsies with serum creatinine and mean percent duplicated glomerular basement membranes was significantly associated with graft loss. Neither the delta in any Banff lesion scores (including cg) nor in gene expression was associated with outcome. Receiver operating characteristic curve analysis showed that the digital pathology approach was superior to the conventional score for predicting graft failure. Thus, our digital pathology-based approach for scoring TG accurately assessed progression in TG. However, further validation as a potential surrogate endpoint in clinical trials for the treatment of ABMR is warranted.

Identifiants

pubmed: 36436680
pii: S0085-2538(22)00967-X
doi: 10.1016/j.kint.2022.10.024
pii:
doi:

Substances chimiques

Antibodies 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

365-377

Informations de copyright

Copyright © 2022 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Auteurs

Željko Kikić (Ž)

Division of Nephrology and Dialysis, Department of Medicine III, Medical University Vienna, Vienna, Austria; Department of Urology, Medical University Vienna, Vienna, Austria.

Benjamin A Adam (BA)

Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.

Anna Buxeda Porras (AB)

Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.

Carmen Lefaucheur (C)

Paris Transplant Group (INSERM U970), Paris, France.

Alexandre Loupy (A)

Paris Transplant Group (INSERM U970), Paris, France.

Heinz Regele (H)

Institute of Clinical Pathology, Medical University Vienna, Vienna, Austria.

Daniel Cejka (D)

Division of Nephrology and Dialysis, Ordensklinikum Linz-Elisabethinen, Linz, Austria.

Mark Haas (M)

Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Robert B Colvin (RB)

Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Michael Mengel (M)

Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada. Electronic address: mmengel@ualberta.ca.

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