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@ARTICLE{Raut:144260,
author = {J. R. Raut$^*$ and Z. Guan$^*$ and P. Schrotz-King$^*$ and
H. Brenner$^*$},
title = {{W}hole-blood {DNA} {M}ethylation {M}arkers for {R}isk
{S}tratification in {C}olorectal {C}ancer {S}creening: {A}
{S}ystematic {R}eview.},
journal = {Cancers},
volume = {11},
number = {7},
issn = {2072-6694},
address = {Basel},
publisher = {MDPI},
reportid = {DKFZ-2019-01780},
pages = {912},
year = {2019},
abstract = {DNA methylation profiles within whole-blood samples have
been reported to be associated with colorectal cancer (CRC)
occurrence and might enable risk stratification for CRC. We
systematically reviewed and summarized studies addressing
the association of whole-blood DNA methylation markers and
risk of developing CRC or its precursors. We searched PubMed
and ISI Web of Knowledge to identify relevant studies
published until 12th November 2018. Two reviewers
independently extracted data on study population
characteristics, candidate genes, methylation measurement
methods, methylation levels of patients in comparison to
healthy controls, p-values, and odds ratios of the markers.
Overall, 19 studies reporting 102 methylation markers for
risk assessment of colorectal neoplasms met our inclusion
criteria. The studies mostly used Methylation Specific
Polymerase Chain Reaction (MS-PCR) for assessing the
methylation status of a defined set of genes. Only two
studies applied array-based genome-wide assays to assess the
methylation levels. Five studies incorporated panels
consisting of 2-10 individual methylation markers to assess
their potential for stratifying the risk of developing
colorectal neoplasms. However, none of these associations
was confirmed in an independent cohort. In conclusion,
whole-blood DNA methylation markers may be useful as
biomarkers for risk stratification in CRC screening, but
reproducible risk prediction algorithms are yet to be
established by large scale epigenome-wide studies with
thorough validation of results in prospective study cohorts
including large screening populations. The possibilities of
enhancing predictive power by combining methylation data
with polygenetic risk scores and environmental risk factors
need to be explored.},
subtyp = {Review Article},
cin = {C070 / C120 / L101},
ddc = {610},
cid = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
I:(DE-He78)L101-20160331},
pnm = {313 - Cancer risk factors and prevention (POF3-313)},
pid = {G:(DE-HGF)POF3-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31261771},
doi = {10.3390/cancers11070912},
url = {https://inrepo02.dkfz.de/record/144260},
}