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Disease risk and GVHD biomarkers can stratify patients for risk of relapse and nonrelapse mortality post hematopoietic cell transplant
by
Ferrara James L M
, Etra Aaron
, Srinagesh Hrishikesh
, Kröger Nicolaus
, Kitsada, Wudhikarn
, Hexner, Elizabeth O
, Qayed Muna
, Wölfl Matthias
, Choe, Hannah K
, Ayuk, Francis
, Levine, John E
, Augustine, Allan
, Reshef Ran
, Gergoudis Stephanie
, Merli Pietro
, Kapoor Urvi
, Morales, George
, Nakamura Ryotaro
, Özbek Umut
, Kowalyk, Steven
, Young, Rachel
, Shah, Jay
, Pulsipher, Michael A
, Hartwell, Matthew J
, Schechter Tal
, Yanik, Gregory
, Anand, Sarah
, Ordemann Rainer
, Yi-Bin, Chen
, Rösler Wolf
, Kitko, Carrie L
, Hogan, William J
, Dimopoulos, Christina
, Aziz, Mina D
, Chaudhry, Mohammed
, Schreiner, Elisabeth
in
Algorithms
/ Biomarkers
/ Graft-versus-host reaction
/ Health risks
/ Immunosuppression
/ Leukemia
/ Mortality
/ Population studies
/ Risk
/ Stem cell transplantation
2020
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Disease risk and GVHD biomarkers can stratify patients for risk of relapse and nonrelapse mortality post hematopoietic cell transplant
by
Ferrara James L M
, Etra Aaron
, Srinagesh Hrishikesh
, Kröger Nicolaus
, Kitsada, Wudhikarn
, Hexner, Elizabeth O
, Qayed Muna
, Wölfl Matthias
, Choe, Hannah K
, Ayuk, Francis
, Levine, John E
, Augustine, Allan
, Reshef Ran
, Gergoudis Stephanie
, Merli Pietro
, Kapoor Urvi
, Morales, George
, Nakamura Ryotaro
, Özbek Umut
, Kowalyk, Steven
, Young, Rachel
, Shah, Jay
, Pulsipher, Michael A
, Hartwell, Matthew J
, Schechter Tal
, Yanik, Gregory
, Anand, Sarah
, Ordemann Rainer
, Yi-Bin, Chen
, Rösler Wolf
, Kitko, Carrie L
, Hogan, William J
, Dimopoulos, Christina
, Aziz, Mina D
, Chaudhry, Mohammed
, Schreiner, Elisabeth
in
Algorithms
/ Biomarkers
/ Graft-versus-host reaction
/ Health risks
/ Immunosuppression
/ Leukemia
/ Mortality
/ Population studies
/ Risk
/ Stem cell transplantation
2020
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Disease risk and GVHD biomarkers can stratify patients for risk of relapse and nonrelapse mortality post hematopoietic cell transplant
by
Ferrara James L M
, Etra Aaron
, Srinagesh Hrishikesh
, Kröger Nicolaus
, Kitsada, Wudhikarn
, Hexner, Elizabeth O
, Qayed Muna
, Wölfl Matthias
, Choe, Hannah K
, Ayuk, Francis
, Levine, John E
, Augustine, Allan
, Reshef Ran
, Gergoudis Stephanie
, Merli Pietro
, Kapoor Urvi
, Morales, George
, Nakamura Ryotaro
, Özbek Umut
, Kowalyk, Steven
, Young, Rachel
, Shah, Jay
, Pulsipher, Michael A
, Hartwell, Matthew J
, Schechter Tal
, Yanik, Gregory
, Anand, Sarah
, Ordemann Rainer
, Yi-Bin, Chen
, Rösler Wolf
, Kitko, Carrie L
, Hogan, William J
, Dimopoulos, Christina
, Aziz, Mina D
, Chaudhry, Mohammed
, Schreiner, Elisabeth
in
Algorithms
/ Biomarkers
/ Graft-versus-host reaction
/ Health risks
/ Immunosuppression
/ Leukemia
/ Mortality
/ Population studies
/ Risk
/ Stem cell transplantation
2020
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Disease risk and GVHD biomarkers can stratify patients for risk of relapse and nonrelapse mortality post hematopoietic cell transplant
Journal Article
Disease risk and GVHD biomarkers can stratify patients for risk of relapse and nonrelapse mortality post hematopoietic cell transplant
2020
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Overview
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.
Publisher
Nature Publishing Group
Subject
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