The MAGIC algorithm probability is a validated response biomarker of treatment of acute graft-versus-host disease

Hrishikesh K. Srinagesh(Cancer Institute (WIA)), Umut Özbek(Icahn School of Medicine at Mount Sinai), Urvi Kapoor(Cancer Institute (WIA)), Francis Ayuk(Universität Hamburg), Mina Aziz(Cancer Institute (WIA)), Kaitlyn Ben-David(Cancer Institute (WIA)), Hannah Choe(The Ohio State University), Zachariah DeFilipp(Massachusetts General Hospital), Aaron Etra(Cancer Institute (WIA)), Stephan A. Grupp(Children's Hospital of Philadelphia), Matthew J. Hartwell(Cancer Institute (WIA)), Elizabeth O. Hexner(University of Pennsylvania), William J. Hogan(Mayo Clinic in Arizona), Alexander B. Karol(Cancer Institute (WIA)), Stelios Kasikis(Cancer Institute (WIA)), Carrie L. Kitko(Vanderbilt University Medical Center), Steven Kowalyk(Cancer Institute (WIA)), Jung-Yi Lin(Icahn School of Medicine at Mount Sinai), Hannah Major-Monfried(Cancer Institute (WIA)), Stephan Mielke(Karolinska University Hospital), Pietro Merli(Bambino Gesù Children's Hospital), George Morales(Cancer Institute (WIA)), Rainer Ordemann(University Hospital Carl Gustav Carus), Michael A. Pulsipher(Children's Hospital of Los Angeles), Muna Qayed(Emory University), Pavan Reddy(University of Michigan), Ran Reshef(Columbia University Irving Medical Center), Wolf Rösler(Universitätsklinikum Erlangen), Karamjeet Sandhu(City of Hope), Tal Schechter(University of Toronto), Jay Shah(Cancer Institute (WIA)), Keith Sigel(Cancer Institute (WIA)), Daniela Weber(University of Regensburg), Matthias Wölfl(University of Würzburg), Kitsada Wudhikarn(Chulalongkorn University), Rachel Young(Cancer Institute (WIA)), John E. Levine(Cancer Institute (WIA)), James L.M. Ferrara(Cancer Institute (WIA))
Blood Advances
December 9, 2019
Cited by 107Open Access
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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.


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