Evidence map›Paper›PMID 32711505›Full record

ArticleBMC cancer2020

A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility.

Justina Ucheojor Onwuka, Dapeng Li, Yupeng Liu, Hao Huang, Jing Xu, Ying Liu, Yuanyuan Zhang, Yashuang Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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  12. Commentary: Novel strategies and new tools to curtail the health effects of pesticides.Environmental health : a global access science source · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Justina Ucheojor OnwukaDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Dapeng LiDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Yupeng LiuDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Hao HuangDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Jing XuDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Ying LiuDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Yuanyuan ZhangDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Yashuang ZhaoDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China. zhao_yashuang@263.net.ORCID http://orcid.org/0000-0002-7425-5773
Harbin Medical University · CN

Funding

China Scholarship Council 2017BSZ011594National Natural Science Foundation of China 81473055
6 · The paper itself

Abstract

backgroundDifferential DNA methylation panel derived from peripheral blood could serve as biomarkers of CRC susceptibility. However, most of the previous studies utilized post-diagnostic blood DNA which may be markers of disease rather than susceptibility. In addition, only a few studies have evaluated the predictive potential of differential DNA methylation in CRC in a prospective cohort and on a genome-wide basis. The aim of this study was to identify a potential panel of DNA methylation biomarkers in peripheral blood that is associated with CRC risk and therefore serve as epigenetic biomarkers of disease susceptibility.

methodsDNA methylation profile of a nested case-control study with 166 CRC and 424 healthy normal subjects were obtained from the Gene Expression Omnibus (GEO) database. The differentially methylated markers were identified by moderated t-statistics. The DNA methylation panel was constructed by stepwise logistic regression and the least absolute shrinkage and selection operator in the training dataset. A methylation risk score (MRS) model was constructed and the association between MRS and CRC risk assessed.

resultsWe identified 48 differentially methylated CpGs sites, of which 33 were hypomethylated. Of these, sixteen-CpG based MRS that was associated with CRC risk (OR = 2.68, 95% CI: 2.13, 3.38, P <  0.0001) was constructed. This association is confirmed in the testing dataset (OR = 2.02, 95% CI: 1.48, 2.74, P <  0.0001) and persisted in both males and females, younger and older subjects, short and long time-to-diagnosis. The MRS also predicted CRC with AUC 0.82 (95% CI: 0.76, 0.88), indicating high accuracy.

conclusionsOur study has identified a novel DNA methylation panel that is associated with CRC and could, if validated be useful for the prediction of CRC risk in the future.

Indexed as

CpG IslandsDNA MethylationGenetic Predisposition to DiseaseArea Under CurveCase-Control StudiesColorectal NeoplasmsFemaleGenetic MarkersHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsRisk FactorsGenetic MarkersColorectal cancerDNA methylationMethylation risk scorePeripheral blood

Identifiers

PMID32711505
PMCPMC7382833
OpenAlexW3044855701

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.