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A seven-color panel including CD34 and TdT could be applied in >97% patients with T cell lymphoblastic leukemia for minimal residual disease detection independent of the initial phenotype.
- Source :
-
Leukemia Research . Sep2018, Vol. 72, p12-19. 8p. - Publication Year :
- 2018
-
Abstract
- Highlights • A seven-color panel including CD34 and TdT was built to detect MRD in T-ALL. • The panel could be applied to >97% T-ALL patients independent of initial phenotype. • Only one MRD false-negative result occurred because of antigen shifts. • MRD positive detected by the panel at post-HSCT could effectively predict relapse. Abstract A seven-color panel was used to detect minimal residual disease (MRD) in T cell acute lymphoblastic leukemia (T-ALL) via flow cytometry (FCM). Its availability and clinical significance were studied in T-ALL patients with newly diagnosed (n = 64), relapsed (n = 48) and morphologically complete remission (n = 103). The following four features were used to identify immature cCD3+ T cells: CD34+, TdT+, but mCD3-/dim+, and CD45dim+. Among these features, either TdT or CD34 expression was the most useful and were found in 93.8% of patients at diagnosis and 86.7% of patients who relapsed. Although some of the immature markers had disappeared in 23 of 59 cases after therapy, only one case presented with a false negative MRD. Of the 74 consecutive patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT), MRD-positive patients showed a higher relapse rate, a higher cumulative incidence of relapse at 4 years and a shorter median relapse-free survival than MRD-negative patients at post-HSCT(72.7% vs 17.3%, P = 0.000; 100% vs 19.9%, P < 0.0001; and 16 months vs undefined, P < 0.0001). We demonstrated that this panel could be applied to>97% of T-ALL patients to detect MRD and predict relapse after allo-HSCT even in the absence of the initial immunophenotype. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01452126
- Volume :
- 72
- Database :
- Academic Search Index
- Journal :
- Leukemia Research
- Publication Type :
- Academic Journal
- Accession number :
- 131545210
- Full Text :
- https://doi.org/10.1016/j.leukres.2018.07.012