Tyrosine kinase inhibitors (TKIs) targeting BCR::ABL1 are highly successful in chronic myeloid leukemia (CML). However, extensive interpatient variability in therapeutic responses and resistance supports the need to find new prognostic biomarkers. We have previously reported that TP53 SNP215 variant affects CML risk and clinical outcome.
View Article and Find Full Text PDFAnn Hematol
December 2024
TP53 gene disruption, including 17p13 deletion [del(17p)] and/or TP53 mutations, is a negative prognostic biomarker in chronic lymphocytic leukemia (CLL) associated with disease progression, treatment failure and shorter survival. Germline variants in p53 signaling pathway genes could also lead to p53 dysfunction, but their involvement in CLL has not been thoroughly evaluated. The aim of this study was to determine the association of TP53, MDM2 and NQO1 gene variability with clinical and genetic data of CLL patients.
View Article and Find Full Text PDFChemotherapy mistreatment is partially due to a lack of rapid and reliable tools to discriminate between sensitive and resistant phenotypes. In many cases, the resistance mechanism is not fully understood, contributing to the diagnostic tools' absence. This work aims to determine the capacity of MALDI-TOF-MS profiling to discriminate between chemotherapy-resistant and sensitive phenotypes in leukemia and glioblastoma cells.
View Article and Find Full Text PDFThe BCR-ABL1 oncogene is associated with chronic myeloid leukemia (CML) pathogenesis, but the molecular mechanisms that initiate leukemogenesis are still unclear. Cancer pathogenesis has been associated with genetic alterations that may lead to inactivation of tumor suppressor genes. Phosphatase and tensin homolog (PTEN) is frequently deleted or inactivated in various tumors.
View Article and Find Full Text PDFBackground: Glutathione S-transferases (GSTs) are drug-metabolising enzymes involved in biotransformation of carcinogens, drugs, xenobiotics and oxygen free radicals. Polymorphisms of GST genes contribute to inter-individual and population variability in the susceptibility to environmental risk factors, cancer predisposition and pharmacotherapy responses. However, data about GST variability in Argentina are lacking.
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