Evidence map›Paper›PMID 28316888›Full record

ArticlePeerJ2017

Quantitative and correlation analysis of the DNA methylation and expression of DAPK in breast cancer.

Youzhi Zhu, Shuiqin Li, Qingshui Wang, Ling Chen, Kunlin Wu, Yide Huang, Xiangjin Chen, Yao Lin

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Review
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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 2 institutions in 1 country.

Youzhi ZhuDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Fujian Medical University , Fuzhou , China.
Shuiqin LiCollege of Life Sciences, Fujian Normal University , Fuzhou , China.
Qingshui WangCollege of Life Sciences, Fujian Normal University , Fuzhou , China.
Ling ChenDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Fujian Medical University , Fuzhou , China.
Kunlin WuDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Fujian Medical University , Fuzhou , China.
Yide HuangCollege of Life Sciences, Fujian Normal University , Fuzhou , China.
Xiangjin ChenDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Fujian Medical University , Fuzhou , China.
Yao LinCollege of Life Sciences, Fujian Normal University , Fuzhou , China.
Fujian Medical University · CNFujian Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeath-associated protein kinase 1 (DAPK) is an important tumor suppressor kinase involved in the regulation of multiple cellular activities such as apoptosis and autophagy. DNA methylation of DAPK gene was found in various types of cancers and often correlated with the clinicopathological characteristics. However, the mRNA and protein expression of DAPK in the same sample was rarely measured. Thus, it was unclear if the correlation between DAPK gene methylation and clinicopathological parameters was due to the loss of DAPK expression.

methodsIn this study, the DNA methylation rate, mRNA and protein expression of DAPK was quantitatively detected in 15 pairs of breast cancer patient samples including tumor (T) and adjacent non-tumor (N) tissues.

resultsThe correlation between DNA methylation rate and mRNA expression, together with the correlation between mRNA and protein expression, was calculated. No correlation was observed between any levels using either the measurement value of each sample or the T/N ratio of each pair. DISCUSSION: These data suggested that the DNA methylation status of DAPK did not correlate well with its mRNA or protein expression. Extra caution is needed when interpreting the DNA methylation data of DAPK gene in clinical studies.

Indexed as

Breast cancerCorrelationDAPKDNA methylation

Identifiers

PMID28316888
PMCPMC5354070
OpenAlexW2548538517

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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.