| Literature DB >> 29423758 |
Xiaosu Zhao1,2, Zhidong Wang1, Guorui Ruan1, Yanrong Liu1, Yu Wang1,2, Xiaohui Zhang1,2, Lanping Xu1, Xiaojun Huang1,2, Yingjun Chang3,4.
Abstract
In this study, using multiparameter flow cytometry (FCM), we investigate the impact of minimal residual disease prior to transplantation (pre-MRD) on the transplant outcomes of AML patients with fms-related tyrosine kinase 3 (FLT3)-internal tandem duplication (ITD) mutation. A total of 20 patients who received HLA-matched sibling donor transplantation (MSDT) and 63 patients who received unmanipulated haploidentical hematopoietic stem cell transplantation (haplo-HSCT) were enrolled. Patients were classified into four groups based on the status of pre-FCM: group 1 with positive pre-FCM before MSDT, group 2 with negative pre-FCM before MSDT, group 3 with positive pre-FCM before haplo-HSCT, and group 4 with positive pre-FCM before haplo-HSCT. The results showed that patients in group 1 had the highest cumulative incidence of relapse (2-year CIR, 75.0%), the lowest leukemia-free survival (2-year LFS, 33.3%), and the overall survival (2-year OS, 25.0%) among all four groups. The other three groups of patients had comparable CIR (2-year CIR: group 2 vs. 3 vs. 4, 12.5% vs. 31.3% vs. 22.2%, P > 0.05) and LFS (2-year LFS: group 2 vs. 3 vs. 4, 87.5% vs. 62.5% vs. 66.5%, P > 0.05). Multivariate analysis indicated that disease status (> CR) and pre-MRD were associated with a higher CIR and a lower LFS when patients were classified by pre-MRD and transplant type. Our results suggested that AML patients with FLT3-ITD were able to be separated into high-risk and low-risk relapse groups based on pre-MRD, as determined by multiparameter FCM. Haplo-HSCT might overcome the negative impact of pre-MRD on patient outcomes compared to MSDT. These results require further investigation in prospective study with large numbers of cases.Entities:
Keywords: Acute myeloid leukemia; Allogeneic hematopoietic stem cell transplantation; FLT3-ITD; Minimal residual disease; Multiparameter flow cytometry
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Year: 2018 PMID: 29423758 DOI: 10.1007/s00277-018-3265-1
Source DB: PubMed Journal: Ann Hematol ISSN: 0939-5555 Impact factor: 3.673