Evidence map›Paper›PMID 26139010›Full record

ArticleScientific reports2015

DNA methylation as a potential diagnosis indicator for rapid discrimination of rare cancer cells and normal cells.

Xingyu Si, Yaoyao Zhao, Chengdui Yang, Sichun Zhang, Xinrong Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 1 institution in 1 country.

Xingyu SiDepartment of Chemistry, Beijing Key Laboratory for Microanalytical Methods and Instrument, Tsinghua University, Beijing 100084 (China).
Yaoyao ZhaoDepartment of Chemistry, Beijing Key Laboratory for Microanalytical Methods and Instrument, Tsinghua University, Beijing 100084 (China).
Chengdui YangDepartment of Chemistry, Beijing Key Laboratory for Microanalytical Methods and Instrument, Tsinghua University, Beijing 100084 (China).
Sichun ZhangDepartment of Chemistry, Beijing Key Laboratory for Microanalytical Methods and Instrument, Tsinghua University, Beijing 100084 (China).
Xinrong ZhangDepartment of Chemistry, Beijing Key Laboratory for Microanalytical Methods and Instrument, Tsinghua University, Beijing 100084 (China).
Tsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global DNA methylation degree may be a ubiquitous and early biomarker to distinguish cancer cells from benign cells. However, its usefulness in clinical diagnosis was scarcely demonstrated, because the cancer cells isolated from patients were usually very rare. Even if 10 mL of peripheral blood was sampled from a patient, only tens of cancer cells could be isolated. So a method to quantify DNA methylation from small number of cells was needed to apply DNA methylation in clinical environment. In this study, we found that normal breast cell line MCF10A and breast cancer cell line MCF7 cells present significantly different percentage of genomic 5-methylcytosine (p < 0.02, n = 8), it could be a potential indicator for rapid discrimination of rare cancer cells from normal cells. However, conventional mass spectrometry needs usually ~10(6) cells to quantify DNA methylation degree, which was too large to be applied in clinical diagnosis. Here we developed a fast mass spectrometry-based method capable of analyzing the DNA methylation degree from only ~100 human cells. Our method could reveal the different DNA methylation degree between MCF10A and MCF7 cells in less than two hours, having the potential to provide reliable information for clinical application.

Indexed as

DNA MethylationAntigens, NeoplasmBiomarkers, TumorCell Adhesion MoleculesEarly Detection of CancerEpithelial Cell Adhesion MoleculeHumansMCF-7 CellsMolecular Diagnostic TechniquesAntigens, NeoplasmBiomarkers, TumorCell Adhesion MoleculesEPCAM protein, humanEpithelial Cell Adhesion Molecule

Identifiers

PMID26139010
PMCPMC5155617
OpenAlexW831261674

What OpenQuestion holds

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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.