Evidence map›Paper›PMID 39754187›Full record

ArticleBMC medical genomics2025

Discovering the interactome, functions, and clinical relevance of enhancer RNAs in kidney renal clear cell carcinoma.

Zhaohui Sun, Haojie Du, Xudong Zheng, Hepeng Zhang, Huajie Hu

Abstract read
In one paragraph

Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Enhancer regulation in cancer: from epigenetics to mArchives of pharmacal research · 2025
    Review
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.

Zhaohui SunYuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China.
Haojie DuYuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China.
Xudong ZhengYuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China.
Hepeng ZhangYuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China.
Huajie HuYuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China. huhuajie1977@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancer RNA (eRNA) has emerged as a key player in cancer biology, influencing various aspects of tumor development and progression. In this study, we investigated the role of eRNAs in kidney renal clear cell carcinoma (KIRC), the most common subtype of renal cell carcinoma. Leveraging high-throughput sequencing data and bioinformatics analysis, we identified differentially expressed eRNAs in KIRC and constructed eRNA-centric regulatory networks. Our findings revealed that up-regulated eRNAs in KIRC potentially regulate immune response and hypoxia pathways, while down-regulated eRNAs may impact ion transport, cell cycle, and metabolism. Furthermore, we developed a diagnostic prediction model based on eRNA expression profiles, demonstrating its effectiveness in KIRC diagnosis. Finally, we elucidated the regulatory mechanism of an eRNA (ENSR00000305834) on the expression of SLC15A2, a potential prognostic biomarker in KIRC, through bioinformatics analysis and in vitro validation experiments. In summary, Our study highlights the clinical significance of eRNAs in KIRC and underscores their potential as therapeutic targets.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkers, TumorCell Line, TumorClinical RelevanceComputational BiologyEnhancer Elements, GeneticEnhancer RNAsGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisRNABiomarkers, TumorEnhancer RNAsRNAENSR00000305834E-P loopseRNAKIRCSLC15A2TF

Identifiers

PMID39754187
PMCPMC11697625

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.