A day 14 endpoint for acute GVHD clinical trials.
Biomarkers
acute GVHD
classification and regression tree
competing risk
competing risks
composite
decision curve analysis
endpoints
immunosuppression
machine learning
nonrelapse mortality
surrogate
time-dependent AUC
treatment response
Journal
Transplantation and cellular therapy
ISSN: 2666-6367
Titre abrégé: Transplant Cell Ther
Pays: United States
ID NLM: 101774629
Informations de publication
Date de publication:
04 Feb 2024
04 Feb 2024
Historique:
received:
03
10
2023
revised:
15
01
2024
accepted:
25
01
2024
medline:
7
2
2024
pubmed:
7
2
2024
entrez:
6
2
2024
Statut:
aheadofprint
Résumé
The overall response (ORR) rate 28 days after treatment has been adopted as the primary endpoint for clinical trials of acute graft versus host disease (GVHD). However, physicians often need to modify immunosuppression earlier than day (D) 28, and non-relapse mortality (NRM) does not always correlate with ORR at D28. We studied 1144 patients that received systemic treatment for GVHD in the Mount Sinai Acute GVHD International Consortium and divided them into a training set (n=764) and a validation set (n=380). We used a recursive partitioning algorithm to create a Mount Sinai model that classifies patients into favorable or unfavorable groups that predicted 12 month NRM according to overall GVHD grade at both onset and D14. In the Mount Sinai model grade II GVHD at D14 was unfavorable for grade III/IV GVHD at onset and predicted NRM as well as the D28 standard response model. TheMAGIC algorithm probability (MAP) is a validated score that combines the serum concentrations of suppression of tumorigenicity 2 (ST2) and regenerating islet-derived 3-alpha (REG3α) to predict NRM. Inclusion of the D14 MAP biomarker score with the D14 Mount Sinai model created three distinct groups (good, intermediate, poor) with strikingly different NRM (8%, 35%, 76% respectively). This D14 MAGIC model displayed better AUC, sensitivity, positive and negative predictive value, and net benefit in decision curve analysis compared to the D28 standard response model. We conclude that this D14 MAGIC model could be useful in therapeutic decisions and may offer an improved endpoint for clinical trials of acute GVHD treatment.
Identifiants
pubmed: 38320730
pii: S2666-6367(24)00176-3
doi: 10.1016/j.jtct.2024.01.079
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2024. Published by Elsevier Inc.