Evidence map›Paper›PMID 27999208›Full record

ReviewOncotarget2017

Detection of 14-3-3 sigma (σ) promoter methylation as a noninvasive biomarker using blood samples for breast cancer diagnosis.

Meng Ye, Tao Huang, Ying Ying, Jinyun Li, Ping Yang, Chao Ni, Chongchang Zhou, Si Chen

Abstract readReview
In one paragraph

Review in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 5 pooled it
–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

22 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Review
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  10. Observational
  11. Article
  12. Methylation as a critical epigenetic process during tumor progressions among Iranian population: an overview.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Review
  13. Review
  14. Article
  15. Review
  16. Overexpression of 14-3-3BioMed research international · 2020
    Article
  17. Article
  18. Clinical and Prognostic Significance of OAnnals of dermatology · 2018
    Review
  19. Article
  20. 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

8 authors.

Meng YeThe Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315020, People's Republic of China.
Tao HuangThe Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315020, People's Republic of China.
Ying YingNingbo No. 2 Hospital, Ningbo, Zhejiang 315010, People's Republic of China.
Jinyun LiThe Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315020, People's Republic of China.
Ping YangThe Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315020, People's Republic of China.
Chao NiThe Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315020, People's Republic of China.
Chongchang ZhouZhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, People's Republic of China.
Si ChenThe Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315020, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a tumor suppressor gene, 14-3-3 σ has been reported to be frequently methylated in breast cancer. However, the clinical effect of 14-3-3 σ promoter methylation remains to be verified. This study was performed to assess the clinicopathological significance and diagnostic value of 14-3-3 σ promoter methylation in breast cancer. 14-3-3 σ promoter methylation was found to be notably higher in breast cancer than in benign lesions and normal breast tissue samples. We did not observe that 14-3-3 σ promoter methylation was linked to the age status, tumor grade, clinic stage, lymph node status, histological subtype, ER status, PR status, HER2 status, or overall survival of patients with breast cancer. The combined sensitivity, specificity, AUC (area under the curve), positive likelihood ratios (PLR), negative likelihood ratios (NLR), diagnostic odds ratio (DOR), and post-test probability values (if the pretest probability was 30%) of 14-3-3 σ promoter methylation in blood samples of breast cancer patients vs. healthy subjects were 0.69, 0.99, 0.86, 95, 0.31, 302, and 98%, respectively. Our findings suggest that 14-3-3 σ promoter methylation may be associated with the carcinogenesis of breast cancer and that the use of 14-3-3 σ promoter methylation might represent a useful blood-based biomarker for the clinical diagnosis of breast cancer.

Indexed as

DNA MethylationMolecular Diagnostic TechniquesPromoter Regions, Genetic14-3-3 ProteinsAdultAgedArea Under CurveBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCirculating Tumor DNADisease-Free SurvivalDisease ProgressionExoribonucleasesFemaleHumans14-3-3 ProteinsBiomarkers, TumorCirculating Tumor DNAExoribonucleasesSFN protein, human14-3-3 σbiomarkerbloodbreast cancerdiagnosispromoter methylation

Identifiers

PMID27999208
PMCPMC5354727

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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.