Evidence map›Paper›PMID 30233644›Full record

ArticleFrontiers in genetics2018

Identification of Hyper-Methylated Tumor Suppressor Genes-Based Diagnostic Panel for Esophageal Squamous Cell Carcinoma (ESCC) in a Chinese Han Population.

Chenji Wang, Weilin Pu, Dunmei Zhao, Yinghui Zhou, Ting Lu, Sidi Chen, Zhenglei He, Xulong Feng, Ying Wang, Caihua Li and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

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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

15 authors at 5 institutions in 2 countries.

Chenji WangDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, China.
Weilin PuState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Dunmei ZhaoDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, China.
Yinghui ZhouDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, China.
Ting LuDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, China.
Sidi ChenMinistry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China.
Zhenglei HeDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, China.
Xulong FengDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, China.
Ying WangGenesky Biotechnologies Inc., Shanghai, China.
Caihua LiGenesky Biotechnologies Inc., Shanghai, China.
Shilin LiState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Li JinState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Shicheng GuoCenter for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, United States.
Jiucun WangState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Minghua WangDepartment of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, China.
Soochow University · CNFudan University · CNState Key Laboratory of Genetic EngineeringState Key Laboratory of Oncogene and Related Genes · CNMarshfield Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation-based biomarkers were suggested to be promising for early cancer diagnosis. However, DNA methylation-based biomarkers for esophageal squamous cell carcinoma (ESCC), especially in Chinese Han populations have not been identified and evaluated quantitatively. Candidate tumor suppressor genes (

Indexed as

biomarkerdiagnosisDNA methylationesophageal squamous cell carcinoma (ESCC)targeted bisulfite sequencing (TGS)

Identifiers

PMID30233644
PMCPMC6133993
OpenAlexW2891601768

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.