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Doctors create MAGIC algorithm to predict bone marrow transplant patients risk of dying


Doctors create MAGIC algorithm to predict bone marrow transplant patients risk of dying

Researchers at Mount Sinai Health System have discovered a way to predict whether blood cancer patients who received a bone marrow transplant will develop graft-versus-host disease, a common and often lethal complication, according to a study published in JCI (The Journal of Clinical Investigation) Insight.

This international study at 11 cancer centers examined blood samples from almost 1,300 bone marrow transplant patients and found that two proteins present in blood drawn a week after a transplant can predict whether a patient will develop a lethal version of graft-versus-host disease, weeks before the disease’s symptoms normally occur. Scientists at the Mount Sinai Acute GVHD International Consortium (MAGIC) created an algorithm, dubbed the “MAGIC algorithm,” that determines a patient’s risk of developing the disease by measuring concentrations of these proteins, ST2 and REG3a.

“The MAGIC algorithm gives doctors a roadmap to save many lives in the future. This simple blood test can determine which bone marrow transplant patients are at high risk for a lethal complication before it occurs,” says 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 MAGIC. “It will allow early intervention and potentially save many lives.”

Doctors at Mount Sinai are now designing clinical trials to determine whether immunotherapy drugs, normally used during the onset of graft-versus-host disease, would benefit patients as soon as this new blood test determined they would be at high risk for severe onset of the disease. Researchers believe that if patients receive the drugs once the test is administered, which is well before symptoms develop, they would be spared the full force of the disease, and fewer of them would die.

“This test will make bone marrow transplant safer and more effective for patients because it will guide adjustment of medications to protect against graft-versus-host disease,” says John Levine, MD, MS, Professor of Pediatrics and Medicine, Hematology and Medical Oncology at The Tisch Cancer Institute at the Icahn School of Medicine at Mount Sinai and Co-director of MAGIC. “If successful, the early use of the drugs would become a standard of care for bone marrow transplant patients.”

Graft-versus-host disease occurs when the bone marrow donor’s immune system sees the recipient’s body as foreign and launches an immune response, attacking the recipient’s tissue, primarily the skin, liver, and gastrointestinal tract. Between 40 and 60 percent of patients who receive bone marrow transplants later develop severe graft-versus-host disease, and about 40 percent of people who develop the disease die.

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Matthew J. Hartwell, Umut Özbek, Ernst Holler, Anne S. Renteria, Hannah Major-Monfried, Pavan Reddy, Mina Aziz, William J. Hogan, Francis Ayuk, Yvonne A. Efebera, Elizabeth O. Hexner, Udomsak Bunworasate, Muna Qayed, Rainer Ordemann, Matthias Wölfl, Stephan Mielke, Attaphol Pawarode, Yi-Bin Chen, Steven Devine, Andrew C. Harris, Madan Jagasia, Carrie L. Kitko, Mark R. Litzow, Nicolaus Kröger, Franco Locatelli, George Morales, Ryotaro Nakamura, Ran Reshef, Wolf Rösler, Daniela Weber, Kitsada Wudhikarn, Gregory A. Yanik, John E. Levine, James L.M. Ferrara. An early-biomarker algorithm predicts lethal graft-versus-host disease and survival. JCI Insight, 2017; 2 (3) DOI: 10.1172/jci.insight.89798

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supriya kashyap

supriya kashyap

Supriya Kashyap Joined Medical Dialogue as Reporter in 2015 . she covers all the medical specialty news in different medical categories. She also covers the Medical guidelines, Medical Journals, rare medical surgeries as well as all the updates in medical filed. She is a graduate from Delhi University. She can be contacted at supriya.kashyap@medicaldialogues.in Contact no. 011-43720751
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