"Algorithm May Be ‘Transformative’ For Predicting Graft-Versus-Host Disease After Stem Cell Transplant" - Jennifer Southall
Researchers at Mount Sinai Health System developed a two-biomarker model that can predict graft-versus-host disease before signs and symptoms appear in individuals who underwent allogeneic hematopoietic stem cell transplant, according to study results published in The Journal of Clinical Investigation. Approximately half of transplant recipients develop severe GVHD, and nearly 40% of that subset will die of the condition. The Mount Sinai Acute GVHD International Consortium (MAGIC) algorithm has the potential to save many lives through early detection and intervention, according to James Ferrara, MD, a professor of hematology and medical oncology at the Icahn School of Medicine at Mount Sinai, and colleagues.
- James L.M. Ferrara, MD, Professor of Pediatrics, Oncological Sciences and Medicine, Hematology and Medical Oncology at The Tisch Cancer Institute at the Icahn School of Medicine at Mount Sinai, and Co-director of Mount Sinai Acute GVHD International Consortium (MAGIC)