Evidence map›Paper›PMID 33564687›Full record

ArticleBioMed research international2021

NR3C2-Related Transcriptome Profile and Clinical Outcome in Invasive Breast Carcinoma.

Jianjun Lu, Fang Hu, Yingling Zhou

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. 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
1.2field-weighted citation impact, top 19% 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, 14 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

3 authors at 3 institutions in 1 country.

Jianjun LuThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-5322-8186
Fang HuDepartment of Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-9378-0699
Yingling ZhouThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-3153-0739
Guangdong General Hospital · CNGuangzhou Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing evidence has indicated that the nuclear receptor subfamily 3 group C member 2 (NR3C2) may be associated with tumorigenesis and patient prognosis for certain types of tumors. However, the clinical significance of NR3C2 is unclear in invasive breast carcinoma (BRCA).

methodsWe used bioinformatics to broadly investigate and obtain a deeper understanding of the prognostic significance between NR3C2 and BRCA. RNA-sequencing data and clinical information of patients with BRCA from the Cancer Genome Atlas database were collected for subsequent analysis. The diagnostic efficacy of NR3C2 was evaluated by calculating the receiver operating characteristic curve. The prognostic value of NR3C2 was evaluated by Kaplan-Meier analysis and Cox regression analysis for patients with BRCA. Moreover, the OSbrca database was used to validate NR3C2 as a prognostic biomarker for BRCA. Gene set enrichment analysis (GSEA) and tumor immune infiltration analysis were conducted to explore the molecular mechanism of NR3C2 in BRCA.

resultsThe expression level of NR3C2 in BRCA tissues decreased compared to that in normal breast tissues (

conclusionNR3C2 is a potential prognostic biomarker that could help clinicians develop more appropriate treatment plans for individual patients with BRCA.

Indexed as

Biomarkers, TumorBreast NeoplasmsComputational BiologyDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedNeoplasm InvasivenessPrognosisProportional Hazards ModelsReceptors, MineralocorticoidTranscriptomeBiomarkers, TumorMicroRNAsNR3C2 protein, humanReceptors, Mineralocorticoid

Identifiers

PMID33564687
PMCPMC7867450
OpenAlexW3128081537

What OpenQuestion holds

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LicenceCC BY
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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.