Evidence map›Paper›PMID 30872657›Full record

ArticleScientific reports2019

Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics.

Shan Yu, Xuepeng Jiang, Juan Li, Chao Li, Mian Guo, Fei Ye, Maomao Zhang, Yufei Jiao, Baoliang Guo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 27 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Shan YuDepartment of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Xuepeng JiangDepartment of General Surgery, the Heilongjiang Power Hospital, Harbin, 150090, China.
Juan LiDepartment of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Chao LiDepartment of Orthopedics, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Mian GuoDepartment of Neurosurgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Fei YeDepartment of Pathology, Harbin Medical University, Harbin, 150001, China.
Maomao ZhangThe Key Laboratory of Myocardial Ischemia, Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Yufei JiaoDepartment of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Baoliang GuoDepartment of General Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China. guobaoliang9999@163.com.
Second Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrated studies of accumulated data can be performed to obtain more reliable information and more feasible measures for investigating the potential diagnostic and prognostic biomarkers of breast cancer and exploring related molecular mechanisms. Our study aimed to explore the GATA family members involved in breast cancer by integrating data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and other online databases. We performed an integrated analysis of published studies from GEO and analyzed clinical data from TCGA and GTEx to evaluate the clinical significance and prognosis values of the GATA family in breast cancer. GATA3 was found to be upregulated and exhibited a favorable value in the diagnosis and prognosis of breast cancer. Through this study, we identified possible GATA3-correlated genes and core pathways that play an important role, which requires further investigation in breast cancer.

Indexed as

Up-RegulationBreast NeoplasmsComputational BiologyDatabases, GeneticEarly Detection of CancerFemaleGATA3 Transcription FactorGATA Transcription FactorsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMultigene FamilyOligonucleotide Array Sequence AnalysisPrognosisSurvival AnalysisGATA3 protein, humanGATA3 Transcription FactorGATA Transcription Factors

Identifiers

PMID30872657
PMCPMC6418253
OpenAlexW2921237161

What OpenQuestion holds

Textmetadata
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.