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The MAGIC algorithm probability is a validated response biomarker of treatment of acute graft-versus-host disease
- Source :
- Blood Advances, Vol 3, Iss 23, Pp 4034-4042 (2019)
- Publication Year :
- 2019
- Publisher :
- Elsevier, 2019.
-
Abstract
- Abstract: The Mount Sinai Acute GVHD International Consortium (MAGIC) algorithm probability (MAP), derived from 2 serum biomarkers, measures damage to crypts in the gastrointestinal tract during graft-versus-host disease (GVHD). We hypothesized that changes in MAP after treatment could validate it as a response biomarker. We prospectively collected serum samples and clinical stages of acute GVHD from 615 patients receiving hematopoietic cell transplantation in 20 centers at initiation of first-line systemic treatment and 4 weeks later. We computed MAPs and clinical responses and compared their abilities to predict 6-month nonrelapse mortality (NRM) in the validation cohort (n = 367). After 4 weeks of treatment, MAPs predicted NRM better than the change in clinical symptoms in all patients and identified 2 groups with significantly different NRM in both clinical responders (40% vs 12%, P < .0001) and nonresponders (65% vs 25%, P < .0001). MAPs successfully reclassified patients for NRM risk within every clinical grade of acute GVHD after 4 weeks of treatment. At the beginning of treatment, patients with a low MAP that rose above the threshold of 0.290 after 4 weeks of treatment had a significant increase in NRM, whereas patients with a high MAP at onset that fell below that threshold after treatment had a striking decrease in NRM that translated into clear differences in overall survival. We conclude that a MAP measured before and after treatment of acute GVHD is a response biomarker that predicts long-term outcomes more accurately than change in clinical symptoms. MAPs have the potential to guide therapy for acute GVHD and may function as a useful end point in clinical trials.
- Subjects :
- Specialties of internal medicine
RC581-951
Subjects
Details
- Language :
- English
- ISSN :
- 24739529
- Volume :
- 3
- Issue :
- 23
- Database :
- Directory of Open Access Journals
- Journal :
- Blood Advances
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4646aec086e947a6b3b6196abc281ffa
- Document Type :
- article
- Full Text :
- https://doi.org/10.1182/bloodadvances.2019000791