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The landscape of PBMC methylome in canine mammary tumors reveals the epigenetic regulation of immune marker genes and its potential application in predicting tumor malignancy

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Authors

Nam, A-Reum; Heo, Min; Lee, Kang-Hoon; Kim, Ji-Yoon; Won, Sung-Ho; Cho, Je-Yoel

Issue Date
2023-07-18
Publisher
BMC
Citation
BMC Genomics, Vol.24(1):403
Keywords
MethylomeBiomarkerCaninePBMCMammary tumorImmunityMachine learning
Abstract
Background
Genome-wide dysregulation of CpG methylation accompanies tumor progression and characteristic
states of cancer cells, prompting a rationale for biomarker development. Understanding how the archetypic epige‑
netic modifcation determines systemic contributions of immune cell types is the key to further clinical benefts.

Results
In this study, we characterized the diferential DNA methylome landscapes of peripheral blood mononu‑
clear cells (PBMCs) from 76 canines using methylated CpG-binding domain sequencing (MBD-seq). Through gene
set enrichment analysis, we discovered that genes involved in the growth and diferentiation of T- and B-cells are
highly methylated in tumor PBMCs. We also revealed the increased methylation at single CpG resolution and reversed
expression in representative marker genes regulating immune cell proliferation (BACH2, SH2D1A, TXK, UHRF1).
Furthermore, we utilized the PBMC methylome to efectively diferentiate between benign and malignant tumors
and the presence of mammary gland tumors through a machine-learning approach.

Conclusions
This research contributes to a better knowledge of the comprehensive epigenetic regulation of circulat‑
ing immune cells responding to tumors and suggests a new framework for identifying benign and malignant cancers
using genome-wide methylome
ISSN
1471-2164
Language
English
URI
https://hdl.handle.net/10371/195360
DOI
https://doi.org/10.1186/s12864-023-09471-6
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