Analysis of genome-wide methylation and gene expression induced by 5-aza-2′-deoxycytidine identifies BCL2L10 as a frequent methylation target in acute myeloid leukemia

2010 ◽  
Vol 51 (12) ◽  
pp. 2275-2284 ◽  
Author(s):  
Emiliano Fabiani ◽  
Giuseppe Leone ◽  
Manuela Giachelia ◽  
Francesco D'alo' ◽  
Mariangela Greco ◽  
...  
Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 2357-2357
Author(s):  
Frank G. Rucker ◽  
Lars Bullinger ◽  
Hans A. Kestler ◽  
Peter Lichter ◽  
Konstanze Dohner ◽  
...  

Abstract Approximately 10 to 15 % of acute myeloid leukemia (AML) cases exhibit complex karyotypes, i.e., three or more chromosome abnormalities without presence of a specific fusion transcript. To identify novel genomic regions of interest in AML with complex karyotypes we applied comparative genomic hybridization to microarrays (matrix-CGH) allowing high-resolution genome-wide screening of genomic imbalances. We designed a microarray consisting of 2799 different BAC- or PAC-vectors. A set of 1500 of these clones covers the whole human genome with a physical distance of approximately 1.5 Mb. The remaining 1299 clones either contiguously span genomic regions known to be frequently involved in hematologic malignancies (e.g., 1p, 2p, 3q, 7q, 9p, 11q, 12q, 13q, 17p, 18q) (n=600) or contain oncogenes or tumor suppressor genes (n=699). Using this microarray platform, 83 AML cases with complex karyotypes were analyzed. Genomic losses were found more frequently than gains; the most frequent losses were deletions of 5q (71%), 17p (53%), 7q (48%); followed by deletions of 18q (30%), 16q (28%), 3p and 12q (20% each), 12p (18%), 20q (17%), and 11q (12%). The most frequent genomic gains were trisomies of 11q (39%) and 8q (31%); followed by trisomies of 1p (22%), 21q (20%), 9p (14%), 22q (13%), 13q (12%), and 6p (10%). In part, some critical segments were delineated to genomic fragments of 0.8 to a few megabase pairs in size. In lost/gained regions parallel analysis of gene expression using microarray technology detected a gene dosage effect with significant lower/higher average gene expression levels across the genes located in the respective regions. Furthermore, 47 high-level DNA amplifications in 19 different regions were identified; amplifications occurring in at least two cases mapped to (candidate genes in the amplicon) 11q23.3-q24.1 (n=10; ETS, FLI1); 11q23.3 (n=8; MLL, DDX6); 21q22 (n=5; ERG, ETS2); 13q12 (n=3; CDX2, FLT1, FLT3, PAN3); 8q24 (n=3; C8FW, MYC); 9p24 (n=2; JAK2); 12p13 (n=2; FGF6, CCND2); and 20q11 (n=2; ID1, BCL2L1). Parallel analysis displayed overexpressed candidate genes in critical amplified region, e.g., C8FW and MYC in 8q24. In conclusion, using high-resolution genome-wide screening tools such as matrix-CGH allows to unravel the enormous genetic diversity of AML cases with complex karyotypes, and correlation with global gene expression studies facilitates the delineation of disease-related candidate genes located in the critical regions.


Haematologica ◽  
2014 ◽  
Vol 99 (5) ◽  
pp. 848-857 ◽  
Author(s):  
S. Abbas ◽  
M. A. Sanders ◽  
A. Zeilemaker ◽  
W. M. C. Geertsma-Kleinekoort ◽  
J. E. Koenders ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Junke Wang ◽  
Alyssa I. Clay-Gilmour ◽  
Ezgi Karaesmen ◽  
Abbas Rizvi ◽  
Qianqian Zhu ◽  
...  

The role of common genetic variation in susceptibility to acute myeloid leukemia (AML), and myelodysplastic syndrome (MDS), a group of rare clonal hematologic disorders characterized by dysplastic hematopoiesis and high mortality, remains unclear. We performed AML and MDS genome-wide association studies (GWAS) in the DISCOVeRY-BMT cohorts (2,309 cases and 2,814 controls). Association analysis based on subsets (ASSET) was used to conduct a summary statistics SNP-based analysis of MDS and AML subtypes. For each AML and MDS case and control we used PrediXcan to estimate the component of gene expression determined by their genetic profile and correlate this imputed gene expression level with risk of developing disease in a transcriptome-wide association study (TWAS). ASSET identified an increased risk for de novo AML and MDS (OR = 1.38, 95% CI, 1.26-1.51, Pmeta = 2.8 × 10–12) in patients carrying the T allele at s12203592 in Interferon Regulatory Factor 4 (IRF4), a transcription factor which regulates myeloid and lymphoid hematopoietic differentiation. Our TWAS analyses showed increased IRF4 gene expression is associated with increased risk of de novo AML and MDS (OR = 3.90, 95% CI, 2.36-6.44, Pmeta = 1.0 × 10–7). The identification of IRF4 by both GWAS and TWAS contributes valuable insight on the role of genetic variation in AML and MDS susceptibility.


2019 ◽  
Author(s):  
Junke Wang ◽  
Alyssa I. Clay-Gilmour ◽  
Ezgi Karaesmen ◽  
Abbas Rizvi ◽  
Qianqian Zhu ◽  
...  

ABSTRACTThe role of common genetic variation in susceptibility to acute myeloid leukemia (AML), and myelodysplastic syndrome (MDS), a group of rare clonal hematologic disorders characterized by dysplastic hematopoiesis and high mortality, remains unclear. We performed AML and MDS genome-wide association studies (GWAS) in the DISCOVeRY-BMT cohorts (2309 cases and 2814 controls). Association analysis based on subsets (ASSET) was used to conduct a summary statistics SNP-based analysis of MDS and AML subtypes. For each AML and MDS case and control we used PrediXcan to estimate the component of gene expression determined by their genetic profile and correlate this imputed gene expression level with risk of developing disease in a transcriptome-wide association study (TWAS). ASSET identified an increased risk for de novo AML and MDS (OR=1.38, 95% CI, 1.26-1.51, Pmeta=2.8×10-12) in patients carrying the T allele at rs12203592 in Interferon Regulatory Factor 4 (IRF4), a transcription factor which regulates myeloid and lymphoid hematopoietic differentiation. Our TWAS analyses showed increased IRF4 gene expression is associated with increased risk of de novo AML and MDS (OR=3.90, 95% CI, 2.36-6.44, Pmeta =1.0×10-7). The identification of IRF4 by both GWAS and TWAS contributes valuable insight on the role of genetic variation in AML and MDS susceptibility.


Blood ◽  
2009 ◽  
Vol 113 (2) ◽  
pp. 291-298 ◽  
Author(s):  
Bas J. Wouters ◽  
Bob Löwenberg ◽  
Ruud Delwel

Abstract The past decade has shown a marked increase in the use of high-throughput assays in clinical research into human cancer, including acute myeloid leukemia (AML). In particular, genome-wide gene expression profiling (GEP) using DNA microarrays has been extensively used for improved understanding of the diagnosis, prognosis, and pathobiology of this heterogeneous disease. This review discusses the progress that has been made, places the technologic limitations in perspective, and highlights promising future avenues


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