Evidence map›Paper›PMID 23326810›Full record

ArticleAdvanced biomedical research2012

Study of promoter methylation pattern of 14-3-3 sigma gene in normal and cancerous tissue of breast: A potential biomarker for detection of breast cancer in patients.

A Gheibi, M Kazemi, A Baradaran, M Akbari, M Salehi

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In one paragraph

Article in Advanced biomedical research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  4. 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
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  8. Association of the hypermethylation status of PTEN tumor suppressor gene with the risk of breast cancer among Kurdish population from Western Iran.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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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

5 authors at 1 institution in 1 country.

A GheibiDepartment of Biomedical Sciences, Division of Genetics, Isfahan, Iran.
M Kazemi
A Baradaran
M Akbari
M Salehi
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, DNA methylation as a main epigenetic modification in human cancer is found as a promising biomarker in early detection of breast cancer. Possible applications of numerous hypermethylated genes have been reported in diagnosis of breast cancer but there has been a little comprehensive study on the clinical usefulness of these genes in breast cancer. The aim of the present study was to investigate the promoter methylation status of 14-3-3 sigma gene with the goal of developing a diagnostic application in breast cancer. MATERIALS AND

methodsTotally 40 cases of cancerous and noncancerous tissues were studied. DNA was extracted from tissue samples, and promoter methylation pattern was determined by using methylation-specific polymerase chain reaction.

resultsMethylation pattern of 14-3-3 sigma promoter significantly differed between control and malignant breast tissues (P = 0.001), and there was no remarkable correlation between methylation and age (P > 0.05).

conclusionThe relationship of promoter methylation of 14-3-3 sigma with development of breast cancer found in this study and confirmed the results of previous reports suggests that we can provide the foundation for possible application of 14-3-3 sigma as a potential biomarker for early detection and monitoring disease status.

Indexed as

14-3-3 SigmaDNA methylationearly detection

Identifiers

PMID23326810
PMCPMC3544103
OpenAlexW1600477018

What OpenQuestion holds

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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.