Abstract
AbstractAcute myeloid leukemia (AML) is characterized by molecular heterogeneity that is not fully reflected in the current classification system. Recent insights point toward a significant role of aberrant DNA methylation in leukemogenesis. Therefore, we investigated the prognostic impact of DNA methylation in AML. To screen for promoter methylation in AML we applied a combination of base-specific cleavage biochemistry and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), a powerful methodology allowing for quantitatively investigating DNA methylation status in a large series of both promoter regions and leukemia samples. We analyzed 92 genomic regions in 182 patient samples, correlated findings with clinical and molecular data, and validated the results in an independent cohort of 74 AML samples. Using this approach, we were able to identify novel leukemia subgroups based on distinct DNA methylation patterns. Furthermore, we defined a methylation-based outcome predictor for patient survival (P < .01) that in multivariable analysis provided independent prognostic information (hazard ratio, 1.52; 95% CI, 1.06-2.16). Here, we report the first large-scale methylation-based outcome predictor in AML, and thereby our findings support the use of genomic methylation markers for improved molecular classification and prognostication in adult AML.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
