Evidence map›Paper›PMID 29270239›Full record

ArticleClinical epigenetics2017

Targeted bisulfite sequencing identified a panel of DNA methylation-based biomarkers for esophageal squamous cell carcinoma (ESCC).

Weilin Pu, Chenji Wang, Sidi Chen, Dunmei Zhao, Yinghui Zhou, Yanyun Ma, Ying Wang, Caihua Li, Zebin Huang, Li Jin and 3 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–field-weighted citation impact
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

48 citing papers in PubMed.

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  12. Association betweenFrontiers in neurology · 2023
    Article
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  20. Frontiers in endocrinology · 2022
    Article
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

13 authors.

Weilin Pu *State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Chenji Wang *Department of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, Jiangsu China.
Sidi ChenState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Dunmei ZhaoDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, Jiangsu China.
Yinghui ZhouDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, Jiangsu China.
Yanyun MaMinistry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.
Ying WangGenesky Biotechnologies Inc., Shanghai, China.
Caihua LiGenesky Biotechnologies Inc., Shanghai, China.
Zebin HuangGenesky Biotechnologies Inc., Shanghai, China.
Li JinState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Shicheng GuoCenter for Human Genetics, Marshfield Clinic Research Foundation, 9500 Gilman Drive, MC0412, Marshfield, Wisconsin 54449 United States.
Jiucun WangState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Minghua WangDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, Jiangsu China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: DNA methylation has been implicated as a promising biomarker for precise cancer diagnosis. However, limited DNA methylation-based biomarkers have been described in esophageal squamous cell carcinoma (ESCC). Methods: A high-throughput DNA methylation dataset (100 samples) of ESCC from The Cancer Genome Atlas (TCGA) project was analyzed and validated along with another independent dataset (12 samples) from the Gene Expression Omnibus (GEO) database. The methylation status of peripheral blood mononuclear cells and peripheral blood leukocytes from healthy controls was also utilized for biomarker selection. The candidate CpG sites as well as their adjacent regions were further validated in 94 pairs of ESCC tumor and adjacent normal tissues from the Chinese Han population using the targeted bisulfite sequencing method. Logistic regression and several machine learning methods were applied for evaluation of the diagnostic ability of our panel. Results: In the discovery stage, five hyper-methylated CpG sites were selected as candidate biomarkers for further analysis as shown below: cg15830431, Conclusions: Methylation profiles of the five genomic regions covering cg15830431 (

Indexed as

DNA MethylationAgedBiomarkers, TumorCarcinoma, Squamous CellCpG IslandsDatabases, GeneticDNA-Binding ProteinsEarly Detection of CancerEpigenesis, GeneticEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHippo KinasesHumansLogistic ModelsMachine LearningBiomarkers, TumorDNA-Binding ProteinsHippo KinasesProtein Serine-Threonine KinasesRepressor ProteinsSerine-Threonine Kinase 3STK3 protein, humanZNF418 protein, humanZNF542P pseudogene, humanBiomarkerDiagnosisDNA methylationEsophageal squamous cell carcinomaTargeted bisulfite sequencing

Identifiers

PMID29270239
PMCPMC5732523

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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.