Evidence map›Paper›PMID 31844579›Full record

ArticlePeerJ2019

Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis.

Yuchang Fei, Huan Yu, Shuo Huang, Peifeng Chen, Lei Pan

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. 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
0.6field-weighted citation impact, top 28% 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, 9 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

5 authors at 3 institutions in 1 country.

Yuchang FeiThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Huan YuNingbo Yinzhou Second Hospital, Ningbo, Zhejiang Province, China.
Shuo HuangThe Third Clinical Medical Institute of Zhejiang Chinese Medical University, Zhejiang Province, China.
Peifeng ChenThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Lei PanThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Zhejiang Chinese Medical University · CNNingbo No. 2 Hospital · CNThe Third Affiliated Hospital of Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly growth response proteins (EGRs), as a transcriptional regulatory family, are involved in the process of cell growth, differentiation, apoptosis, and even carcinogenesis. However, the role of EGRs in tumors, their expression levels, and their prognostic value remain unclear.

methodsUsing the Oncomine database, Kaplan-Meier Plotter, bcGenExMiner v4.2, cBioPortal, and other tools, the association between the survival data of breast carcinoma (BC) patients and transcriptional levels of four EGRs was investigated.

resultsAccording to the Oncomine database, in comparison to normal tissues, the expression level of EGR2/3 mRNA in BC tissues was decreased, but there was no difference in the expression level of EGR4 mRNA. On the basis of the Scarff-Bloom-Richardson (SBR) grading system, the downregulated expression level of EGR1/2/3 and upregulated expression level of EGR4 were correlated with an increased histological differentiation level, with significant differences (

conclusionEGR1/2/3 can be utilized as an important factor for evaluating prognosis and may be relevant to diagnosis. EGR4 may play a role in the occurrence and development of BC. The specific function and mechanism of EGRs in BC deserve further study.

Indexed as

Bioinformatic analysesBreast carcinomaEarly growth response proteinsPrognosis

Identifiers

PMID31844579
PMCPMC6907094
OpenAlexW2994522904

What OpenQuestion holds

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LicenceCC BY
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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.