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Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML
Little is known about whether risk classification at diagnosis predicts post-hematopoietic cell transplantation (HCT) outcomes in patients with acute myeloid leukemia (AML). We evaluated 8709 patients with AML from the CIBMTR database, and after selection and manual curation of the cytogenetics data...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Hematology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945306/ https://www.ncbi.nlm.nih.gov/pubmed/34551064 http://dx.doi.org/10.1182/bloodadvances.2021004881 |
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author | Menghrajani, Kamal Gomez-Arteaga, Alexandra Madero-Marroquin, Rafael Zhang, Mei-Jie Bo-Subait, Khalid Sanchez, Jonathan Wang, Hai-Lin Aljurf, Mahmoud Assal, Amer Bacher, Vera Ulrike Badawy, Sherif M. Bejanyan, Nelli Bhatt, Vijaya Raj Bredeson, Christopher Byrne, Michael Castillo, Paul Cerny, Jan Chhabra, Saurabh Ciurea, Stefan Octavian DeFilipp, Zachariah Farhadfar, Nosha Gadalla, Shahinaz Gale, Robert Peter Ganguly, Siddhartha Gowda, Lohith Grunwald, Michael R. Hashmi, Shahrukh Hildebrandt, Gerhard Kanakry, Christopher G. Kansagra, Ankit Khimani, Farhad Krem, Maxwell Lazarus, Hillard Liu, Hongtao Martino, Rodrigo Michelis, Fotios V. Nathan, Sunita Nishihori, Taiga Olsson, Richard Reshef, Ran Rizzieri, David Rowe, Jacob M. Savani, Bipin N. Seo, Sachiko Sharma, Akshay Solh, Melhem Ustun, Celalettin Verdonck, Leo F. Hourigan, Christopher Sandmaier, Brenda Litzow, Mark Kebriaei, Partow Weisdorf, Daniel Zhang, Yanming Tallman, Martin S. Saber, Wael |
author_facet | Menghrajani, Kamal Gomez-Arteaga, Alexandra Madero-Marroquin, Rafael Zhang, Mei-Jie Bo-Subait, Khalid Sanchez, Jonathan Wang, Hai-Lin Aljurf, Mahmoud Assal, Amer Bacher, Vera Ulrike Badawy, Sherif M. Bejanyan, Nelli Bhatt, Vijaya Raj Bredeson, Christopher Byrne, Michael Castillo, Paul Cerny, Jan Chhabra, Saurabh Ciurea, Stefan Octavian DeFilipp, Zachariah Farhadfar, Nosha Gadalla, Shahinaz Gale, Robert Peter Ganguly, Siddhartha Gowda, Lohith Grunwald, Michael R. Hashmi, Shahrukh Hildebrandt, Gerhard Kanakry, Christopher G. Kansagra, Ankit Khimani, Farhad Krem, Maxwell Lazarus, Hillard Liu, Hongtao Martino, Rodrigo Michelis, Fotios V. Nathan, Sunita Nishihori, Taiga Olsson, Richard Reshef, Ran Rizzieri, David Rowe, Jacob M. Savani, Bipin N. Seo, Sachiko Sharma, Akshay Solh, Melhem Ustun, Celalettin Verdonck, Leo F. Hourigan, Christopher Sandmaier, Brenda Litzow, Mark Kebriaei, Partow Weisdorf, Daniel Zhang, Yanming Tallman, Martin S. Saber, Wael |
author_sort | Menghrajani, Kamal |
collection | PubMed |
description | Little is known about whether risk classification at diagnosis predicts post-hematopoietic cell transplantation (HCT) outcomes in patients with acute myeloid leukemia (AML). We evaluated 8709 patients with AML from the CIBMTR database, and after selection and manual curation of the cytogenetics data, 3779 patients in first complete remission were included in the final analysis: 2384 with intermediate-risk, 969 with adverse-risk, and 426 with KMT2A-rearranged disease. An adjusted multivariable analysis detected an increased risk of relapse for patients with KMT2A-rearranged or adverse-risk AML as compared to those with intermediate-risk disease (hazards ratio [HR], 1.27; P = .01; HR, 1.71; P < .001, respectively). Leukemia-free survival was similar for patients with KMT2A rearrangement or adverse risk (HR, 1.26; P = .002, and HR, 1.47; P < .001), as was overall survival (HR, 1.32; P < .001, and HR, 1.45; P < .001). No differences in outcome were detected when patients were stratified by KMT2A fusion partner. This study is the largest conducted to date on post-HCT outcomes in AML, with manually curated cytogenetics used for risk stratification. Our work demonstrates that risk classification at diagnosis remains predictive of post-HCT outcomes in AML. It also highlights the critical need to develop novel treatment strategies for patients with KMT2A-rearranged and adverse-risk disease. |
format | Online Article Text |
id | pubmed-8945306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society of Hematology |
record_format | MEDLINE/PubMed |
spelling | pubmed-89453062022-03-28 Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML Menghrajani, Kamal Gomez-Arteaga, Alexandra Madero-Marroquin, Rafael Zhang, Mei-Jie Bo-Subait, Khalid Sanchez, Jonathan Wang, Hai-Lin Aljurf, Mahmoud Assal, Amer Bacher, Vera Ulrike Badawy, Sherif M. Bejanyan, Nelli Bhatt, Vijaya Raj Bredeson, Christopher Byrne, Michael Castillo, Paul Cerny, Jan Chhabra, Saurabh Ciurea, Stefan Octavian DeFilipp, Zachariah Farhadfar, Nosha Gadalla, Shahinaz Gale, Robert Peter Ganguly, Siddhartha Gowda, Lohith Grunwald, Michael R. Hashmi, Shahrukh Hildebrandt, Gerhard Kanakry, Christopher G. Kansagra, Ankit Khimani, Farhad Krem, Maxwell Lazarus, Hillard Liu, Hongtao Martino, Rodrigo Michelis, Fotios V. Nathan, Sunita Nishihori, Taiga Olsson, Richard Reshef, Ran Rizzieri, David Rowe, Jacob M. Savani, Bipin N. Seo, Sachiko Sharma, Akshay Solh, Melhem Ustun, Celalettin Verdonck, Leo F. Hourigan, Christopher Sandmaier, Brenda Litzow, Mark Kebriaei, Partow Weisdorf, Daniel Zhang, Yanming Tallman, Martin S. Saber, Wael Blood Adv Transplantation Little is known about whether risk classification at diagnosis predicts post-hematopoietic cell transplantation (HCT) outcomes in patients with acute myeloid leukemia (AML). We evaluated 8709 patients with AML from the CIBMTR database, and after selection and manual curation of the cytogenetics data, 3779 patients in first complete remission were included in the final analysis: 2384 with intermediate-risk, 969 with adverse-risk, and 426 with KMT2A-rearranged disease. An adjusted multivariable analysis detected an increased risk of relapse for patients with KMT2A-rearranged or adverse-risk AML as compared to those with intermediate-risk disease (hazards ratio [HR], 1.27; P = .01; HR, 1.71; P < .001, respectively). Leukemia-free survival was similar for patients with KMT2A rearrangement or adverse risk (HR, 1.26; P = .002, and HR, 1.47; P < .001), as was overall survival (HR, 1.32; P < .001, and HR, 1.45; P < .001). No differences in outcome were detected when patients were stratified by KMT2A fusion partner. This study is the largest conducted to date on post-HCT outcomes in AML, with manually curated cytogenetics used for risk stratification. Our work demonstrates that risk classification at diagnosis remains predictive of post-HCT outcomes in AML. It also highlights the critical need to develop novel treatment strategies for patients with KMT2A-rearranged and adverse-risk disease. American Society of Hematology 2022-02-01 /pmc/articles/PMC8945306/ /pubmed/34551064 http://dx.doi.org/10.1182/bloodadvances.2021004881 Text en © 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved. |
spellingShingle | Transplantation Menghrajani, Kamal Gomez-Arteaga, Alexandra Madero-Marroquin, Rafael Zhang, Mei-Jie Bo-Subait, Khalid Sanchez, Jonathan Wang, Hai-Lin Aljurf, Mahmoud Assal, Amer Bacher, Vera Ulrike Badawy, Sherif M. Bejanyan, Nelli Bhatt, Vijaya Raj Bredeson, Christopher Byrne, Michael Castillo, Paul Cerny, Jan Chhabra, Saurabh Ciurea, Stefan Octavian DeFilipp, Zachariah Farhadfar, Nosha Gadalla, Shahinaz Gale, Robert Peter Ganguly, Siddhartha Gowda, Lohith Grunwald, Michael R. Hashmi, Shahrukh Hildebrandt, Gerhard Kanakry, Christopher G. Kansagra, Ankit Khimani, Farhad Krem, Maxwell Lazarus, Hillard Liu, Hongtao Martino, Rodrigo Michelis, Fotios V. Nathan, Sunita Nishihori, Taiga Olsson, Richard Reshef, Ran Rizzieri, David Rowe, Jacob M. Savani, Bipin N. Seo, Sachiko Sharma, Akshay Solh, Melhem Ustun, Celalettin Verdonck, Leo F. Hourigan, Christopher Sandmaier, Brenda Litzow, Mark Kebriaei, Partow Weisdorf, Daniel Zhang, Yanming Tallman, Martin S. Saber, Wael Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML |
title | Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML |
title_full | Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML |
title_fullStr | Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML |
title_full_unstemmed | Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML |
title_short | Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML |
title_sort | risk classification at diagnosis predicts post-hct outcomes in intermediate-, adverse-risk, and kmt2a-rearranged aml |
topic | Transplantation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945306/ https://www.ncbi.nlm.nih.gov/pubmed/34551064 http://dx.doi.org/10.1182/bloodadvances.2021004881 |
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