John E Levine1, Thomas M Braun2, Andrew C Harris1, Ernst Holler3, Austin Taylor4, Holly Miller1, John Magenau1, Daniel J Weisdorf5, Vincent T Ho6, Javier Bolaños-Meade7, Amin M Alousi8, James L M Ferrara9. 1. Blood & Marrow Transplant Program, University of Michigan, Ann Arbor, MI, USA. 2. School of Public Health, University of Michigan, Ann Arbor, MI, USA. 3. Department of Hematology and Oncology, University of Regensburg, Regensburg, Germany. 4. Blood & Marrow Transplant Program, University of Michigan, Ann Arbor, MI, USA; The Tisch Cancer Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA. 5. Blood & Marrow Transplant Program, University of Minnesota, Minneapolis, MN, USA. 6. Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, USA. 7. Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA. 8. Department of Stem Cell Transplantation, MD Anderson Cancer Center, Houston, TX, USA. 9. Blood & Marrow Transplant Program, University of Michigan, Ann Arbor, MI, USA; The Tisch Cancer Institute, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA. Electronic address: james.ferrara@mssm.edu.
Abstract
BACKGROUND:Graft-versus-host disease (GVHD) is the major cause of non-relapse mortality after allogeneic haemopoietic stem-cell transplantation (SCT). The severity of symptoms at the onset of GVHD does not accurately define risk, and thus most patients are treated alike with high dose systemic corticosteroids. We aimed to define clinically meaningful risk strata for patients with newly diagnosed acute GVHD using plasma biomarkers. METHODS: Between April 13, 2000, and May 7, 2013, we prospectively collected plasma from 492 SCT patients with newly diagnosed acute GVHD and randomly assigned (2:1) using a random number generator, conditional on the final two datasets having the same median day of onset, into training (n=328) and test (n=164) sets. We used the concentrations of three recently validated biomarkers (TNFR1, ST2, and Reg3α) to create an algorithm that computed the probability of non-relapse mortality 6 months after GVHD onset for individual patients in the training set alone. We rank ordered the probabilities and identified thresholds that created three distinct non-relapse mortality scores. We evaluated the algorithm in the test set, and again in an independent validation set of an additional 300 patients who underwent stem cell transplant and were enrolled on multicentre clinical trials of primary therapy for acute GVHD. FINDINGS: In all three datasets (training, test, and validation), the cumulative incidence of 6-month non-relapse mortality significantly increased as the Ann Arbor GVHD score increased. In the multicentre validation set, scores were 8% (95% CI 3-16) for score 1, 27% (20-34) for score 2, and 46% (33-58) for score 3 (p<0·0001). Conversely, the response to primary GVHD treatment within 28 days decreased as the GVHD score increased 86% for score 1, 67% for score 2, and 46% for score 3 in the multicentre validation set, p<0·0001). INTERPRETATION: Biomarker-based scores can be used to guide risk-adapted therapy at the onset of acute GVHD. High risk patients with a score of 3 are candidates for intensive primary therapy, while low risk patients with a score of 1 are candidates for rapid tapers of systemic steroid therapy. FUNDING: The National Cancer Institute, the National Heart, Lung, and Blood Institute, the National Institute of Allergy and Infectious Diseases, the Doris Duke Charitable Fund, the American Cancer Society, and the Judith Devries Fund.
RCT Entities:
BACKGROUND:Graft-versus-host disease (GVHD) is the major cause of non-relapse mortality after allogeneic haemopoietic stem-cell transplantation (SCT). The severity of symptoms at the onset of GVHD does not accurately define risk, and thus most patients are treated alike with high dose systemic corticosteroids. We aimed to define clinically meaningful risk strata for patients with newly diagnosed acute GVHD using plasma biomarkers. METHODS: Between April 13, 2000, and May 7, 2013, we prospectively collected plasma from 492 SCT patients with newly diagnosed acute GVHD and randomly assigned (2:1) using a random number generator, conditional on the final two datasets having the same median day of onset, into training (n=328) and test (n=164) sets. We used the concentrations of three recently validated biomarkers (TNFR1, ST2, and Reg3α) to create an algorithm that computed the probability of non-relapse mortality 6 months after GVHD onset for individual patients in the training set alone. We rank ordered the probabilities and identified thresholds that created three distinct non-relapse mortality scores. We evaluated the algorithm in the test set, and again in an independent validation set of an additional 300 patients who underwent stem cell transplant and were enrolled on multicentre clinical trials of primary therapy for acute GVHD. FINDINGS: In all three datasets (training, test, and validation), the cumulative incidence of 6-month non-relapse mortality significantly increased as the Ann Arbor GVHD score increased. In the multicentre validation set, scores were 8% (95% CI 3-16) for score 1, 27% (20-34) for score 2, and 46% (33-58) for score 3 (p<0·0001). Conversely, the response to primary GVHD treatment within 28 days decreased as the GVHD score increased 86% for score 1, 67% for score 2, and 46% for score 3 in the multicentre validation set, p<0·0001). INTERPRETATION: Biomarker-based scores can be used to guide risk-adapted therapy at the onset of acute GVHD. High risk patients with a score of 3 are candidates for intensive primary therapy, while low risk patients with a score of 1 are candidates for rapid tapers of systemic steroid therapy. FUNDING: The National Cancer Institute, the National Heart, Lung, and Blood Institute, the National Institute of Allergy and Infectious Diseases, the Doris Duke Charitable Fund, the American Cancer Society, and the Judith Devries Fund.
Authors: Madan Jagasia; Mukta Arora; Mary E D Flowers; Nelson J Chao; Philip L McCarthy; Corey S Cutler; Alvaro Urbano-Ispizua; Steven Z Pavletic; Michael D Haagenson; Mei-Jie Zhang; Joseph H Antin; Brian J Bolwell; Christopher Bredeson; Jean-Yves Cahn; Mitchell Cairo; Robert Peter Gale; Vikas Gupta; Stephanie J Lee; Mark Litzow; Daniel J Weisdorf; Mary M Horowitz; Theresa Hahn Journal: Blood Date: 2011-10-18 Impact factor: 22.113
Authors: Cornelius Schmaltz; Onder Alpdogan; Stephanie J Muriglan; Barry J Kappel; Jimmy A Rotolo; Eric T Ricchetti; Andrew S Greenberg; Lucy M Willis; George F Murphy; James M Crawford; Marcel R M van den Brink Journal: Blood Date: 2002-11-07 Impact factor: 22.113
Authors: Paul J Martin; J Douglas Rizzo; John R Wingard; Karen Ballen; Peter T Curtin; Corey Cutler; Mark R Litzow; Yago Nieto; Bipin N Savani; Jeffrey R Schriber; Paul J Shaughnessy; Donna A Wall; Paul A Carpenter Journal: Biol Blood Marrow Transplant Date: 2012-04-14 Impact factor: 5.742
Authors: Claudio Anasetti; Brent R Logan; Stephanie J Lee; Edmund K Waller; Daniel J Weisdorf; John R Wingard; Corey S Cutler; Peter Westervelt; Ann Woolfrey; Stephen Couban; Gerhard Ehninger; Laura Johnston; Richard T Maziarz; Michael A Pulsipher; David L Porter; Shin Mineishi; John M McCarty; Shakila P Khan; Paolo Anderlini; William I Bensinger; Susan F Leitman; Scott D Rowley; Christopher Bredeson; Shelly L Carter; Mary M Horowitz; Dennis L Confer Journal: N Engl J Med Date: 2012-10-18 Impact factor: 91.245
Authors: Mark A Schroeder; H Jean Khoury; Madan Jagasia; Haris Ali; Gary J Schiller; Karl Staser; Jaebok Choi; Leah Gehrs; Michael C Arbushites; Ying Yan; Peter Langmuir; Nithya Srinivas; Michael Pratta; Miguel-Angel Perales; Yi-Bin Chen; Gabrielle Meyers; John F DiPersio Journal: Blood Adv Date: 2020-04-28
Authors: 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 Lm Ferrara Journal: JCI Insight Date: 2017-02-09
Authors: Andrew C Harris; Rachel Young; Steven Devine; William J Hogan; Francis Ayuk; Udomsak Bunworasate; Chantiya Chanswangphuwana; Yvonne A Efebera; Ernst Holler; Mark Litzow; Rainer Ordemann; Muna Qayed; Anne S Renteria; Ran Reshef; Matthias Wölfl; Yi-Bin Chen; Steven Goldstein; Madan Jagasia; Franco Locatelli; Stephan Mielke; David Porter; Tal Schechter; Zhanna Shekhovtsova; James L M Ferrara; John E Levine Journal: Biol Blood Marrow Transplant Date: 2015-09-16 Impact factor: 5.742
Authors: Hannah Major-Monfried; Anne S Renteria; Attaphol Pawarode; Pavan Reddy; Francis Ayuk; Ernst Holler; Yvonne A Efebera; William J Hogan; Matthias Wölfl; Muna Qayed; Elizabeth O Hexner; Kitsada Wudhikarn; Rainer Ordemann; Rachel Young; Jay Shah; Matthew J Hartwell; Mohammed S Chaudhry; Mina Aziz; Aaron Etra; Gregory A Yanik; Nicolaus Kröger; Daniela Weber; Yi-Bin Chen; Ryotaro Nakamura; Wolf Rösler; Carrie L Kitko; Andrew C Harris; Michael Pulsipher; Ran Reshef; Steven Kowalyk; George Morales; Ivan Torres; Umut Özbek; James L M Ferrara; John E Levine Journal: Blood Date: 2018-03-15 Impact factor: 22.113
Authors: Wei Li; Liangyi Liu; Aurelie Gomez; Jilu Zhang; Abdulraouf Ramadan; Qing Zhang; Sung W Choi; Peng Zhang; Joel K Greenson; Chen Liu; Di Jiang; Elizabeth Virts; Stephanie L Kelich; Hong Wei Chu; Ryan Flynn; Bruce R Blazar; Helmut Hanenberg; Samir Hanash; Sophie Paczesny Journal: JCI Insight Date: 2016-05-05