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. 2022 Dec;17(13):2022-2038.
doi: 10.1080/15592294.2022.2105033. Epub 2022 Jul 31.

Genome wide exploration of the methylome in aggressive B-cell lymphoma in Golden Retrievers reveals a conserved hypermethylome

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Genome wide exploration of the methylome in aggressive B-cell lymphoma in Golden Retrievers reveals a conserved hypermethylome

Shirley Chu et al. Epigenetics. 2022 Dec.

Abstract

Few recurrent DNA mutations are seen in aggressive canine B cell lymphomas (cBCL), suggesting other frequent drivers. The methylated island recovery assay (MIRA-seq) or methylated CpG-binding domain sequencing (MBD-seq) was used to define the genome-wide methylation profiles in aggressive cBCL in Golden Retrievers to determine if cBCL can be better defined by epigenetic changes than by DNA mutations. DNA hypermethylation patterns were relatively homogenous within cBCL samples in Golden Retrievers, in different breeds and in geographical regions. Aberrant hypermethylation is thus suspected to be a central and early event in cBCL lymphomagenesis. Distinct subgroups within cBCL in Golden Retrievers were not identified with DNA methylation profiles. In comparison, the methylome profile of human DLBCL (hDLBCL) is relatively heterogeneous. Only moderate similarity between hDLBCL and cBCL was seen and cBCL likely cannot be accurately classified into the subtypes seen in hDLBCL. Genes with hypermethylated regions in the promoter-TSS-first exon of cBCL compared to normal B cells often also had additional hyper- and hypomethylated regions distributed throughout the gene suggesting non-randomized repeat targeting of key genes by epigenetic mechanisms. The prevalence of hypermethylation in transcription factor families in aggressive cBCL may represent a fundamental step in lymphomagenesis.

Keywords: BCL; DLBCL; Golden Retriever; MIRA; cancer; canine; lymphoma; methylome; sequencing.

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Conflict of interest statement

No potential conflict of interest was reported by the author(s).

Figures

Figure 1.
Figure 1.
Validation of the hypermethylated regions identified with MIRA-seq in cBCL was done with the EpiTYPER. Methylation fraction as determined by the EpiTYPER in the evaluable CpGs in the differentially methylated regions are shown for HOXA13. The black dots and triangles represent EpiTYPER data for cBCL and normal lymph node aspirate samples respectively. The bar plots represent the interquartile range and the horizontal line in the bar plots represent the median. The normal population included 10 dogs that did not develop lymphoma within a 1-year period.
Figure 2.
Figure 2.
Batch corrected log2 transformed hypermethylated and hypomethylated rpkm data. The cBCL samples separated into 2 branches. These branches likely reflect a technical batch effect and not a biological difference. Samples MIRA_BCL9, MIRA_BCL16, MIRA_BCL18 and MIRA_BCL19 were sequenced with the first branch but clustered in the second branch and with all of the libraries that were produced and sequenced at an earlier date (Group A). DMRs were identified from the MIRA-seq of 23 cBCL and 7 normal B cell samples. The heatmap shows unsupervised hierarchical clustering of the 13,982 hypermethylated and 4467 hypomethylated DMRs in cBCL with a fold change value equal to or greater than 2. DMRs were identified with a q < 0.001 (Benjamin-Hochberg correction). Log2 of 1+ RPKM transformation of the values of each DMR was used for visualization purposes.
Figure 3.
Figure 3.
Focal areas of hypermethylation were distributed throughout the HOX clusters. The HOXA cluster on chromosome 14 is shown. The top track has the methylation profiles of 23 cBCL (red) and 7 normal B cell (blue) samples overlain. There were clusters of hypermethylated differentially methylated regions (DMRs) in the HOXA cluster. There were no hypomethylated DMRs in this region. A hypermethylated region in HOXA13 was selected for validation. CpG islands are shown in the bottom track.

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