Disease risk and GVHD biomarkers can stratify patients for risk of relapse and nonrelapse mortality post hematopoietic cell transplant.
Mina D AzizJay ShahUrvi KapoorChristina DimopoulosSarah AnandAllan AugustineFrancis AyukMohammed ChaudhryYi-Bin ChenHannah K ChoeAaron EtraStephanie GergoudisMatthew J HartwellElizabeth O HexnerWilliam Joseph HoganCarrie L KitkoSteven KowalykNicolaus KrögerPietro MerliGeorge MoralesRyotaro NakamuraRainer OrdemannMichael A PulsipherMuna QayedRan ReshefWolf RöslerTal SchechterElisabeth SchreinerHrishikesh SrinageshMatthias WölflKitsada WudhikarnGregory YanikRachel YoungUmut ÖzbekJames L M FerraraJohn E LevinePublished in: Leukemia (2020)
The graft-versus-leukemia (GVL) effect after allogeneic hematopoietic cell transplant (HCT) can prevent relapse but the risk of severe graft-versus-host disease (GVHD) leads to prolonged intensive immunosuppression and possible blunting of the GVL effect. Strategies to reduce immunosuppression in order to prevent relapse have been offset by increases in severe GVHD and nonrelapse mortality (NRM). We recently validated the MAGIC algorithm probability (MAP) that predicts the risk for severe GVHD and NRM in asymptomatic patients using serum biomarkers. In this study we tested whether the MAP could identify patients whose risk for relapse is higher than their risk for severe GVHD and NRM. The multicenter study population (n = 1604) was divided into two cohorts: historical (2006-2015, n = 702) and current (2015-2017, n = 902) with similar NRM, relapse, and survival. On day 28 post-HCT, patients who had not developed GVHD (75% of the population) and who possessed a low MAP were at much higher risk for relapse (24%) than severe GVHD and NRM (16 and 9%); this difference was even more pronounced in patients with a high disease risk index (relapse 33%, NRM 9%). Such patients are good candidates to test relapse prevention strategies that might enhance GVL.
Keyphrases
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- prognostic factors
- allogeneic hematopoietic stem cell transplantation
- early onset
- type diabetes
- coronary artery disease
- deep learning
- stem cells
- single cell
- cardiovascular disease
- cardiovascular events
- mesenchymal stem cells
- acute lymphoblastic leukemia
- high density