Crosstalk between genomic variants and DNA methylation in FLT3 mutant acute myeloid leukemia

Author:

Dao Bac12ORCID,Trinh Van Ngu3ORCID,Nguyen Huy V4ORCID,Nguyen Hoa L5ORCID,Le Thuc Duy6ORCID,Luu Phuc Loi789ORCID

Affiliation:

1. Hanoi Medical University , Hanoi, Vietnam

2. School of Biomedical Sciences, The University of Western Australia , Perth, Australia

3. The University of Texas MD Anderson Cancer Center , Houston, TX, United States

4. Health Innovation and Transformation Centre , Federation University, Victoria, Australia

5. Department of Population and Quantitative Health Sciences , UMass Chan Medical School

6. University of South Australia , Adelaide, Australia

7. Data Science Division, Tam Anh Research Institute (TamRI) , 2B Pho Quang Street, Ward 2, Tan Binh District, Ho Chi Minh City 700000, Vietnam

8. Mathematics Department , Faculty of Fundamental Sciences, , 217 Hong Bang street, Ward 11, District 5, Ho Chi Minh City 700000, Vietnam

9. University of Medicine and Pharmacy at Ho Chi Minh City (UMP) , Faculty of Fundamental Sciences, , 217 Hong Bang street, Ward 11, District 5, Ho Chi Minh City 700000, Vietnam

Abstract

Abstract Acute myeloid leukemia (AML) is a type of blood cancer with diverse genetic variations and DNA methylation alterations. By studying the interaction of gene mutations, expression, and DNA methylation, we aimed to gain valuable insights into the processes that lead to block differentiation in AML. We analyzed TCGA-LAML data (173 samples) with RNA sequencing and DNA methylation arrays, comparing FLT3 mutant (48) and wild-type (125) cases. We conducted differential gene expression analysis using cBioPortal, identified DNA methylation differences with ChAMP tool, and correlated them with gene expression changes. Gene set enrichment analysis (g:Profiler) revealed significant biological processes and pathways. ShinyGo and GeneCards were used to find potential transcription factors and their binding sites among significant genes. We found significant differentially expressed genes (DEGs) negatively correlated with their most significant methylation probes (Pearson correlation coefficient of −0.49, P-value <0.001) between FLT3 mutant and wild-type groups. Moreover, our exploration of 450 k CpG sites uncovered a global hypo-methylated status in 168 DEGs. Notably, these methylation changes were enriched in the promoter regions of Homebox superfamily gene, which are crucial in transcriptional-regulating pathways in blood cancer. Furthermore, in FLT3 mutant AML patient samples, we observed overexpress of WT1, a transcription factor known to bind homeobox gene family. This finding suggests a potential mechanism by which WT1 recruits TET2 to demethylate specific genomic regions. Integrating gene expression and DNA methylation analyses shed light on the impact of FLT3 mutations on cancer cell development and differentiation, supporting a two-hit model in AML. This research advances understanding of AML and fosters targeted therapeutic strategy development.

Funder

National Institutes of Health

Training Program for Strengthening Research Capacity in Non-Communicable Diseases in Vietnam

Publisher

Oxford University Press (OUP)

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