Genotypic frequencies in Children with Acute Lymphoblastic Leukemia in two Oncology centers.: Genetic polymorphisms of MTHFR 677C> T (rs1801133) and MTHFR 1298A> C (rs1801131).

Abstract

Introduction: Acute lymphoblastic leukemia (ALL) is one of the most frequent oncopathologies in childhood, occupying the first place of the five types of cancer with the highest incidence in Ecuador. The objective of the study was to determine the genotypic and allelic frequencies of the genetic polymorphisms of MTHFR 677C> T (rs1801133) and MTHFR 1298A> C (rs1801131) in children with acute lymphoblastic leukemia from SOLCA - Loja and SOLCA - Cuenca.

Methods: It is a cross-sectional study, where 160 pediatric patients diagnosed with ALL were evaluated. The detection of MTHFR 677C> T and 1298A> C polymorphisms was performed using the real-time PCR technique. The descriptive statistical analysis was developed using the IBM SPSS software (version 22) and the SNPStats bioinformatics program.

Results: It was determined that the genotype frequencies for the SNP MTHFR 677C> T were 25% C / C and 75% C / T with an allele frequency of 38% for the mutated allele (T). For the SNP MTHFR 1298 A> C, a genotype frequency of 2% A / A, 16% A / C and 82% C / C was found, while its allelic frequency was 90% for the mutated allele (C). No genotypic or allelic association was found with any of the intervening variables (p> 0.05), as well as no statistically significant correlation of the mentioned polymorphisms and the type of risk of ALL.

Conclusion: In the population studied with ALL, a genotypic frequency of 75% was evidenced for the MTHFR 677C> T SNP for the heterozygous C / T. For the SNP MTHFR 1298A> C, a genotypic frequency of 82% was found for the homozygous mutated C / C. The allelic frequency distribution was shown as follows: for MTHFR 677C> T, 38% was obtained for the mutated allele T and for MTHFR 1298 A> C, 90% corresponded to the mutated allele C. In the statistical analysis No genotypic or allelic association was found with demographic and clinical variables.