CGE-2015v3n11-1 - page 11

Cancer Genetics and Epigenetics 2015, Vol.3, No.11, 1-8
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Table 4 Function enrichment analysis
Term
gene count
p-value
Phosphoprotn
483
7.59E-11
Calcium
82
1.54E-08
Chromosomal rearrangement
38
2.45E-07
cell adhesion
48
1.19E-06
leukocyte activation
34
2.06E-06
Table 5 Pathway enrichment analysis
Pathway
gene count
p-value
Pathways in cancer
Focal adhesion
Glioma
33
22
10
0.0019
0.0052
0.0092
Figure 5 The correlation graph between DNA methylation and
expression in the promoter
methylated genes enriched in the most cancer-related
pathways, Focal adhesion, gliomas pathways. Screened
differentially methylated genes have played a certain
role for cancer development, so it is a way to classify
samples using these methylation features.
We identify aberrant DNA methylation sites and
functional analysis for these DNA methylation sites
and explore the relationship between DNA methylation
and acute myeloid leukemia. The purpose is based on
DNA methylation to classify samples and do function
analysis. It can provide the diagnosis and therapy of
acute myeloid leukemia with great help.
3 Discussion
In order to analyze the relationship among genomic
mutations, DNA methylation and acute myeloid
leukemia, acute myeloid leukemia caused by
mutations in the genome should be considered
epigenetic changes together. Our advantages are the
combination of a variety of screening DMS method
(QDMR and SAM).It can more accurately identify
DMS. This method can be applied to many types of
cancer and many cancer patients can be classified.
We may continue to explore to find drug targets.
Although DNA methylation in a single cancer types
has been a lot of research, but the process of analyzing
a variety of cancers is missing. Therefore, we may
continue to explore to identify abnormal
methylation sites of various cancers organs, doing
functional analysis, forecasting oncogenes and
finding drug targets. It can provide the diagnosis and
therapy of acute myeloid leukemia with great help.
Acknowledgments
The authors thank Dr Yan Zhang and Dr Jianzhong
Su’s help and thank Epigenetic Department in Harbin
medical university. Thanks for the College of
Bioinformatics Science and Technology, Harbin
Medical University.
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