| Literature DB >> 31287348 |
Juliana Maria Camargos Rocha1, Sandra Guerra Xavier1, Marcelo Eduardo de Lima Souza1, Mitiko Murao1, Benigna Maria de Oliveira1.
Abstract
Minimal residual disease (MRD) monitoring is of prognostic importance in childhood acute lymphoblastic leukemia (ALL). The detection of immunoglobulin and T-cell receptor gene rearrangements by real-time quantitative PCR (RT-PCR) is considered the gold standard for this evaluation. However, more accessible methods also show satisfactory performance. This study aimed to compare MRD analysis by four-color flow cytometry (FC) and qualitative standard PCR on days 35 and 78 of chemotherapy and to correlate these data with patients' clinical characteristics. Forty-two children with a recent diagnosis of ALL, admitted to a public hospital in Brazil for treatment in accordance with the Brazilian Childhood Cooperative Group for ALL Treatment (GBTLI LLA-2009), were included. Bone marrow samples collected at diagnosis and on days 35 and 78 of treatment were analyzed for the immunophenotypic characterization of blasts by FC and for the detection of clonal rearrangements by standard PCR. Paired analyses were performed in 61/68 (89.7%) follow-up samples, with a general agreement of 88.5%. Disagreements were resolved by RT-PCR, which evidenced one false-negative and four false-positive results in FC, as well as two false-negative results in PCR. Among the prognostic factors, a significant association was found only between T-cell lineage and MRD by standard PCR. These results show that FC and standard PCR produce similar results in MRD detection of childhood ALL and that both methodologies may be useful in the monitoring of disease treatment, especially in regions with limited financial resources.Entities:
Keywords: Acute lymphoblastic leukemia; IG/TR gene rearrangements; flow cytometry; minimal residual disease; polymerase chain reaction
Year: 2019 PMID: 31287348 DOI: 10.1080/08880018.2019.1636168
Source DB: PubMed Journal: Pediatr Hematol Oncol ISSN: 0888-0018 Impact factor: 1.969