A personalized approach to guide allogeneic stem cell transplantation in younger adults with acute myeloid leukemia

Affiliation auteurs!!!! Error affiliation !!!!
TitreA personalized approach to guide allogeneic stem cell transplantation in younger adults with acute myeloid leukemia
Type de publicationJournal Article
Year of Publication2021
AuteursFenwarth L, Thomas X, de Botton S, Duployez N, Bourhis J-H, Lesieur A, Fortin G, Meslin P-A, Yakoub-Agha I, Sujobert P, Dumas P-Y, Recher C, Lebon D, Berthon C, Michallet M, Pigneux A, Nguyen S, Chantepie S, Vey N, Raffoux E, Celli-Lebras K, Gardin C, Lambert J, Malfuson J-V, Caillot D, Maury S, Ducourneau B, Turlure P, Lemasle E, Pautas C, Chevret S, Terre C, Boissel N, Socie G, Dombret H, Preudhomme C, Itzykson R
JournalBLOOD
Volume137
Pagination524-532
Date PublishedJAN 28
Type of ArticleArticle
ISSN0006-4971
Résumé

{A multistage model instructed by a large dataset (knowledge bank [KB] algorithm) has recently been developed to improve outcome predictions and tailor therapeutic decisions, including hematopoietic stem cell transplantation (HSCT) in acute myeloid leukemia (AML). We assessed the performance of the KB in guiding HSCT decisions in first complete remission (CR1) in 656 AML patients younger than 60 years from the ALFA-0702 trial (NCT00932412). KB predictions of overall survival (OS) were superior to those of European LeukemiaNet (ELN) 2017 risk stratification (C-index, 68.9 vs 63.0). Among patients reaching CR1, HSCT in CR1, as a time-dependent covariate, was detrimental in those with favorable ELN 2017 risk and those with negative NPM1 minimal residual disease (MRD; interaction tests
DOI10.1182/blood.2020005524