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- Title
Immunophenotypic characterization of acute leukemias in Bahia, Brazil.
- Authors
dos Santos, Mariane Melo; dos Santos, Allan Souza; de Melo Santos, Herbert Henrique; da Silva Santos, Lorene; Meyer Nascimento, Roberto José; Leite Torres, Alex José
- Abstract
Objective: To characterize the immunophenotypic profile of acute leukemias in the population of the state of Bahia, Brazil. Methods: This is a descriptive, retrospective study. From 2014 to 2018, 796 new cases of acute leukemia were evaluated. The data were obtained from analysis of reports and records of tests performed by flow cytometry immunophenotyping. All individuals of all age groups diagnosed as acute lymphoblastic leukemia or acute myeloid leukemia were included in the study. Demographic variables and expression of leukemia antigens were evaluated. Results: Most cases were diagnosed as acute myeloid leukemia and 42.7% as acute lymphoblastic leukemia. Significant differences were found in expression of markers in acute leukemias when age groups were compared, as well as in demographic characteristics. B-cell acute lymphoblastic leukemia was more prevalent than cases of T-cell origin. Assessing the aberrant markers in acute myeloid leukemias, the non-acute promyelocytic leukemia group presented expression of CD7 and CD56 as the most frequent ones. In B-cell acute lymphoblastic leukemia, the most frequent aberrant markers were CD66c, CD13 and CD33. Conclusion: Significant differences were found as to several antigens when comparing adults and children, and these findings may contribute to future studies correlating the phenotypic profile to genetic characteristics and therapeutic response, including specific antigen therapies, which may be better targeted.
- Subjects
BAHIA (Brazil : State); ACUTE myeloid leukemia; MYELOID leukemia; IMMUNOPHENOTYPING; LYMPHOBLASTIC leukemia; ACUTE leukemia; DIAGNOSTIC use of flow cytometry; DEMOGRAPHIC characteristics; DISEASE prevalence; AGE groups; PROTEIN expression
- Publication
Einstein (16794508), 2023, Vol 21, p1
- ISSN
1679-4508
- Publication type
Article
- DOI
10.31744/einstein_journal/2023AO0117