Evidence map›Paper›PMID 30846004›Full record

ArticleClinical epigenetics2019

Genome-wide methylation profiling identified novel differentially hypermethylated biomarker MPPED2 in colorectal cancer.

Simeng Gu, Shujuan Lin, Ding Ye, Sangni Qian, Danjie Jiang, Xiaocong Zhang, Qilong Li, Jinhua Yang, Xiaojiang Ying, Zhenjun Li and 4 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Epigenetics · 2026
    Article
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  5. Review
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  15. miR-31-5p-Oncology letters · 2022
    Article
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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

14 authors at 4 institutions in 1 country.

Simeng GuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China.
Shujuan LinDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China.
Ding YeDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China.
Sangni QianDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China.
Danjie JiangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China.
Xiaocong ZhangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China.
Qilong LiJiashan Institute of Cancer Prevention and Treatment, 345 Jiefangdong Road, Jiashan, 314100, China.
Jinhua YangJiashan Institute of Cancer Prevention and Treatment, 345 Jiefangdong Road, Jiashan, 314100, China.
Xiaojiang YingDepartment of Anorectal Surgery, Shaoxing People's Hospital, 568 Zhongxingbei Road, Shaoxing, 312000, China.
Zhenjun LiDepartment of Anorectal Surgery, Shaoxing People's Hospital, 568 Zhongxingbei Road, Shaoxing, 312000, China.
Mengling TangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China.
Jianbing WangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China.
Mingjuan JinDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China. jinmj@zju.edu.cn.
Kun ChenDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, 866 Yuhangtang Road, Hangzhou, 310058, China. ck@zju.edu.cn.
Zhejiang University · CNShaoxing People's Hospital · CNSecond Affiliated Hospital of Zhejiang University · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetic alternation is a common contributing factor to neoplastic transformation. Although previous studies have reported a cluster of aberrant promoter methylation changes associated with silencing of tumor suppressor genes, little is known concerning their sequential DNA methylation changes during the carcinogenetic process. The aim of the present study was to address a genome-wide search for identifying potentially important methylated changes and investigate the onset and pattern of methylation changes during the progression of colorectal neoplasia.

methodsA three-phase design was employed in this study. In the screening phase, DNA methylation profile of 12 pairs of colorectal cancer (CRC) and adjacent normal tissues was analyzed by using the Illumina MethylationEPIC BeadChip. Significant CpG sites were selected based on a cross-validation analysis from The Cancer Genome Atlas (TCGA) database. Methylation levels of candidate CpGs were assessed using pyrosequencing in the training dataset (tumor lesions and adjacent normal tissues from 46 CRCs) and the validation dataset (tumor lesions and paired normal tissues from 13 hyperplastic polyps, 129 adenomas, and 256 CRCs). A linear mixed-effects model was used to examine the incremental changes of DNA methylation during the progression of colorectal neoplasia.

resultsThe comparisons between normal and tumor samples in the screening phase revealed an extensive CRC-specific methylomic pattern with 174,006 (21%) methylated CpG sites, of which 22,232 (13%) were hyermethylated and 151,774 (87%) were hypomethylated. Hypermethylation mostly occurred in CpG islands with an overlap of gene promoters, while hypomethylation tended to be mapped far away from functional regions. Further cross validation analysis from TCGA dataset confirmed 265 hypermethylated promoters coupling with downregulated gene expression. Among which, hypermethylated changes in MEEPD2 promoter was successfully replicated in both training and validation phase. Significant hypermethylation appeared since precursor lesions with an extensive modification in CRCs. The linear mixed-effects modeling analysis found that a cumulative pattern of MPPED2 methylation changes from normal mucosa to hyperplastic polyp to adenoma, and to carcinoma (P < 0.001).

conclusionsOur findings indicate that epigenetic alterations of MPPED2 promoter region appear sequentially during the colorectal neoplastic progression. It might be able to serve as a promising biomarker for early diagnosis and stage surveillance of colorectal tumorigenesis.

Indexed as

DNA MethylationAgedBiomarkers, TumorColorectal NeoplasmsCpG IslandsDisease ProgressionEarly Detection of CancerEpigenesis, GeneticFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPhosphoric Diester HydrolasesPromoter Regions, GeneticSequence Analysis, DNABiomarkers, TumorMPPED2 protein, humanPhosphoric Diester HydrolasesColorectal cancerDNA methylationEPICEpigeneticsMPPED2

Identifiers

PMID30846004
PMCPMC6407227
OpenAlexW2933273868

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.