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Genome wide DNA differential methylation regions in colorectal cancer patients in relation to blood related family members, obese and non-obese controls - a preliminary report.

S Pamela K Shiao | Haiyan Xiao | Lixin Dong | Xiaoling Wang | Kebin Liu | Jinxiong She | Huidong Shi
Oncotarget | 2018

Despite evidences linking methylation changes in the cancer tissues, little is known about the methylation modification in the peripheral blood. With the current study, we identified differential methylation regions (DMRs) across human genome by collecting the blood samples of colorectal cancer (CRC) patients compared to that of their blood-related family who shared genetic inheritance and environmental influences, and unrelated obese and non-obese controls by accessing publicly available Gene Expression Omnibus data. We performed genome-wide analyses using the reduced representation bisulfite sequencing (RRBS) method covering about 25% of CpGs for whole human genome of the four groups (n = 5 each). In comparison to the non-obese controls, we observed significant DMRs in CRC for genes involved in tumorigenesis including MLH3, MSH2, MSH6, SEPT9, GNAS; and glucose transporter genes associated with obesity and diabetes including SLC2A1/GLUT1, and SLC2A3/GLUT3 that were reported on methylation being modified in cancer tissues. In addition, we observed significant DMRs in CRC for genes involved in the methylation pathways including PEMT, ALDH1L1, and DNMT3A. CRC and family members shared significant DMRs for genes of tumorigenesis including MSH2, SEPT9, GNAS, SLC2A1/GLUT1 and SLC2A3/GLUT3); and CAMK1, GLUT1/SLC2A1 and GLUT3/SLC2A3 genes involved in glucose and insulin metabolism that played vital role in development of obesity and diabetes. Our study provided evidences that these differentially methylated genes in the blood could potentially serve as candidate biomarkers for CRC diagnostic and may provide further understanding on CRC progression. Further studies are warranted to validate these methylation changes for diagnostic and prevention of CRC.

Pubmed ID: 29876008

Research resources used in this publication

None found

Antibodies used in this publication

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: R01 CA133085

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This is a list of tools and resources that we have found mentioned in this publication.


SAMTOOLS (tool)

RRID:SCR_002105

Original SAMTOOLS package has been split into three separate repositories including Samtools, BCFtools and HTSlib. Samtools for manipulating next generation sequencing data used for reading, writing, editing, indexing,viewing nucleotide alignments in SAM,BAM,CRAM format. BCFtools used for reading, writing BCF2,VCF, gVCF files and calling, filtering, summarising SNP and short indel sequence variants. HTSlib used for reading, writing high throughput sequencing data.

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methylKit (tool)

RRID:SCR_005177

An R package for DNA methylation analysis and annotation from high-throughput bisulfite sequencing.

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Bowtie (tool)

RRID:SCR_005476

Software ultrafast memory efficient tool for aligning sequencing reads. Bowtie is short read aligner.

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Bismark (tool)

RRID:SCR_005604

Software tool to map bisulfite converted sequence reads and determine cytosine methylation states. Flexible aligner and methylation caller for Bisulfite-Seq applications. Used to map bisulfite treated sequencing reads to genome of interest and perform methylation calls in single step.

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cutadapt (tool)

RRID:SCR_011841

Software tool that removes adapter sequences from DNA sequencing reads.

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FastQC (tool)

RRID:SCR_014583

Quality control software that perform checks on raw sequence data coming from high throughput sequencing pipelines. This software also provides a modular set of analyses which can give a quick impression of the quality of the data prior to further analysis.

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