Evidence map›Paper›PMID 35063044›Full record

ArticleHereditas2022

Discovering the key genes and important DNA methylation regions in breast cancer.

Yan-Ni Cao, Qian-Zhong Li, Yu-Xian Liu, Wen Jin, Rui Hou

Open access · goldAbstract read
In one paragraph

Article in Hereditas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Genome-Wide DNA Methylation Differences betweenAnimals : an open access journal from MDPI · 2023
    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

5 authors at 1 institution in 1 country.

Yan-Ni CaoLaboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, No.235 West Daxue Street, Saihan District, Hohhot, 010021, P.R. China.
Qian-Zhong LiLaboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, No.235 West Daxue Street, Saihan District, Hohhot, 010021, P.R. China. qzli@imu.edu.cn.ORCID http://orcid.org/0000-0002-0792-4519
Yu-Xian LiuLaboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, No.235 West Daxue Street, Saihan District, Hohhot, 010021, P.R. China.
Wen JinLaboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, No.235 West Daxue Street, Saihan District, Hohhot, 010021, P.R. China.
Rui HouLaboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, No.235 West Daxue Street, Saihan District, Hohhot, 010021, P.R. China.
Inner Mongolia University · CN

Funding

National Natural Science Foundation of China 31870838National Natural Science Foundation of China 61861035
6 · The paper itself

Abstract

backgroundBreast cancer is the malignant tumor with the highest incidence in women. DNA methylation has an important effect on breast cancer, but the effect of abnormal DNA methylation on gene expression in breast cancer is still unclear. Therefore, it is very important to find therapeutic targets related to DNA methylation.

resultsIn this work, we calculated the DNA methylation distribution and gene expression level in cancer and para-cancerous tissues for breast cancer samples. We found that DNA methylation in key regions is closely related to gene expression by analyzing the relationship between the distribution characteristics of DNA methylation in different regions and the change of gene expression level. Finally, the 18 key genes (17 tumor suppressor genes and 1 oncogene) related to prognosis were confirmed by the survival analysis of clinical data. Some important DNA methylation regions in these genes that result in breast cancer were found.

conclusionsWe believe that 17 TSGs and 1 oncogene may be breast cancer biomarkers regulated by DNA methylation in key regions. These results will help to explore DNA methylation biomarkers as potential therapeutic targets for breast cancer.

Indexed as

Breast NeoplasmsDNA MethylationBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansPromoter Regions, GeneticBiomarkers, TumorBiomarkerBreast cancerDNA methylationOncogeneTumor suppressor gene

Identifiers

PMID35063044
PMCPMC8781361
OpenAlexW4205489336

What OpenQuestion holds

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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.