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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
DNA sequence profile of TP53 gene mutations in childhood B-cell non-Hodgkin's lymphomas: prognostic implications
Claudete Esteves Klumb1, Daniel Rodrigues Furtado, Lídia Maria Magalhães de Resende
1Laboratório de Hematologia Celular e Molecular, Hospital do Câncer/Instituto Nacional de Câncer, Universidade Federal do Rio de Janeiro, Brazil. cklumb@easyline.com.br
Objectives:
The TP53 gene encodes a nuclear protein implicated in the regulation of the cell cycle, DNA repair, and apoptosis. TP53 mutations and other alterations have been described in numerous types of tumors, and some of these have been associated with poor prognosis. The aim of this study was to characterize TP53 mutations in childhood B non-Hodgkin's lymphoma, their correlation with clinical prognostic factors and response to therapy.
Patients And Methods:
Samples from 49 children with B non-Hodgkin's lymphoma were examined for TP53 alterations by single-strand conformation polymorphism analysis (SSCP) of exons 5-9, direct sequencing and by p53 immunohistochemistry.
Results:
Mutations of TP53 were detected in 11 of 49 (22.5%) patients and more specifically in 20% of Burkitt's lymphoma. The sequence analysis showed missense mutations in 10 cases and an insertion mutation in one case. Mutations of the transition type occurred more frequently than transversions (seven of 11). Analysis of the spectrum of single-nucleotide substitutions showed a 30% frequency of transition mutations in CpG dinucleotide sequences. The overall frequency of p53 immunostaining positivity was 36% (15 of 41). There was a very good agreement between protein expression and the presence of TP53 mutation (P=0.0005). No significant correlation was found regarding age, gender, clinical stage and LDH level and TP53 mutations. Comparison of EFS curves using the log-rank test were also not significant. However, the analysis of the effects of mutations on the core p53 structure identified biological and biochemical mutants with phenotypes probably related to different response to chemotherapy.
Conclusions:
Our data suggest that some types of mutants can alter the protein distinctly and may be associated with a more aggressive phenotype. In addition, the impact of TP53 mutations on response to therapy may also be influenced by disruption of other genes.
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