A validation study of potential prognostic DNA methylation biomarkers in patients with acute myeloid leukemia using a custom DNA methylation sequencing panel

. 2022 Feb 11 ; 14 (1) : 22. [epub] 20220211

Jazyk angličtina Země Německo Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid35148810

Grantová podpora
00023736 Ministerstvo Zdravotnictví Ceské Republiky
IHBT Ministerstvo Zdravotnictví Ceské Republiky

Odkazy
PubMed 35148810
PubMed Central PMC8832751
DOI 10.1186/s13148-022-01242-6
PII: 10.1186/s13148-022-01242-6
Knihovny.cz E-zdroje

BACKGROUND: Multiple studies have reported the prognostic impact of DNA methylation changes in acute myeloid leukemia (AML). However, these epigenetic markers have not been thoroughly validated and therefore are still not considered in clinical practice. Hence, we aimed to independently verify results of selected studies describing the relationship between DNA methylation of specific genes and their prognostic potential in predicting overall survival (OS) and event-free survival (EFS). RESULTS: Fourteen studies (published 2011-2019) comprising of 27 genes were subjected to validation by a custom NGS-based sequencing panel in 178 newly diagnosed non-M3 AML patients treated by 3 + 7 induction regimen. The results were considered as successfully validated, if both the log-rank test and multivariate Cox regression analysis had a p-value ≤ 0.05. The predictive role of DNA methylation was confirmed for three studies comprising of four genes: CEBPA (OS: p = 0.02; EFS: p = 0.03), PBX3 (EFS: p = 0.01), LZTS2 (OS: p = 0.05; EFS: p = 0.0003), and NR6A1 (OS: p = 0.004; EFS: p = 0.0003). For all of these genes, higher methylation was an indicator of longer survival. Concurrent higher methylation of both LZTS2 and NR6A1 was highly significant for survival in cytogenetically normal (CN) AML group (OS: p < 0.0001; EFS: p < 0.0001) as well as for the whole AML cohort (OS: p = 0.01; EFS < 0.0001). In contrast, for two studies reporting the poor prognostic effect of higher GPX3 and DLX4 methylation, we found the exact opposite, again linking higher GPX3 (OS: p = 0.006; EFS: p < 0.0001) and DLX4 (OS: p = 0.03; EFS = 0.03) methylation to a favorable treatment outcome. Individual gene significance levels refer to the outcomes of multivariate Cox regression analysis. CONCLUSIONS: Out of twenty-seven genes subjected to DNA methylation validation, a prognostic role was observed for six genes. Therefore, independent validation studies are necessary to reveal truly prognostic DNA methylation changes and to enable the introduction of these promising epigenetic markers into clinical practice.

Zobrazit více v PubMed

PubMed PMC

PubMed DOI

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI

PubMed DOI PMC

PubMed PMC

PubMed DOI

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI PMC

PubMed DOI

PubMed DOI

PubMed

PubMed DOI

Andrews S. FastQC: a quality control tool for high throughput sequence data [Online]. 2015. Available at: http://www.bioinformatics.babraham.ac.uk/projects/fastqc/. Accessed 20 June 2020.

PubMed DOI PMC

Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J. 2011;17(1):10–12. doi: 10.14806/ej.17.1.200. DOI

PubMed DOI

PubMed DOI

PubMed DOI PMC

PubMed DOI PMC

Najít záznam

Citační ukazatele

Nahrávání dat...

Možnosti archivace

Nahrávání dat...