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Between 60 and 80% of patients with B-cell acute lymphoblastic leukemia show genetic abnormalities which influence the prognosis of the disease and the biology of the tumor.To analyze different genetic abnormalities in acute B lymphoblastic leukemia in children, its relationship with the immunophenotype and the proliferative rate compared with normal B cell precursors.We assessed immunophenotype, DNA content and proliferative rate in 44 samples by flow cytometry, and translocations t(9;22), t(12;21), t(4;11), and t(1;19) by RT-PCR. Using a hierarchical cluster analysis, we identified some immunophenotypic patterns associated to genetic abnormalities when compared with normal B cell precursors.DNA quantification showed that 21% of the cases had high hyperdiploidy and 47.7% has low hyperdiploidy. The presence of hyperdiploidy was associated with increased tumor proliferation and aberrant immunophenotypes, including abnormal expression of CD10, TdT, CD38, and CD45 and an increased size of the lymphoblasts. The presence of t(9;22) and t(12;21) discriminates normal cells from tumor cells with aberrant immunophenotype in the expression of CD19, CD22, CD13, CD33, CD38, CD34, and CD45.The aberrant immunophenotype profile detected in neoplastic cells along with abnormalities in the proliferative rate were significantly associated with DNA hyperdiploidy and clearly distinguished lymphoblasts with t(9;22) and t(12;21) from normal B cell precursors. The identification of these parameters is useful as a tool for classification and monitoring of these patients.

A variety of genetic alterations are considered hallmarks of cancer development and progression. The Ikaros gene family, encoding for key transcription factors in hematopoietic development, provides several examples as genetic defects in these genes are associated with the development of different types of leukemia. However, the complex patterns of expression of isoforms in Ikaros family genes has prevented their use as clinical markers. In this study, we propose the use of the expression profiles of the Ikaros isoforms to classify various hematological tumor diseases. We have standardized a quantitative PCR protocol to estimate the expression levels of the Ikaros gene exons. Our analysis reveals that these levels are associated with specific types of leukemia and we have found differences in the levels of expression relative to five interexonic Ikaros regions for all diseases studied. In conclusion, our method has allowed us to precisely discriminate between B-ALL, CLL and MM cases. Differences between the groups of lymphoid and myeloid pathologies were also identified in the same way.