Evidence map›Paper›PMID 38321787›Full record

ArticleCancer reports (Hoboken, N.J.)2024

Bioinformatics analysis proposes a possible role for long noncoding RNA MIR17HG in retinoblastoma.

Zijin Wang, Xiaotian Liang, Guoguo Yi, Tong Wu, Yuxin Sun, Ziran Zhang, Min Fu

Open access · goldAbstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
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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

7 authors at 4 institutions in 1 country.

Zijin WangThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.ORCID 0000-0001-9158-4280
Xiaotian LiangDepartment of Cardiovascular Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Guoguo YiDepartment of Ophthalmology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Tong WuThe First Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Yuxin SunThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Ziran ZhangThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Min FuDepartment of Ophthalmology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Second Affiliated Hospital of Guangzhou Medical University · CNSun Yat-sen University · CNSouthern Medical University · CNZhujiang Hospital · CN

Funding

Natural Sciences Foundation of Hunan Province 2017JJ2200Scientific Research Fund of Hunan Provincial Education Department 18C1147Scientific Research Fund of Hunan Provincial Education Department 19A355
6 · The paper itself

Abstract

backgroundRetinoblastoma (RB) is the most common prevalent intraocular malignancy among infants and children, particularly in underdeveloped countries. With advancements in genomics and transcriptomics, noncoding RNAs have been increasingly utilized to investigate the molecular pathology of diverse diseases.

aimsThis study aims to establish the competing endogenous RNAs network associated with RB, analyse the function of mRNAs and lncRNAs, and finds the relevant regulatory network. METHODS AND

resultsThis study establishes a network of competing endogenous RNAs by Spearman correlation analysis and prediction based on RB patients and healthy children. Enrichment analyzes based on Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes are conducted to analyze the potential biological functions of lncRNA and mRNA networks. Weighted gene co-expression network analysis (WGCNA) is employed to identify gene cluster modules exhibiting the strongest correlation with RB. The results indicate a significant correlation between the lncRNA MIR17HG (R = .73, p = .02) and the RB phenotype. ceRNA networks reveal downstream miRNAs (hsa-mir-425-5p and hsa-mir455-5p) and mRNAs (MDM2, IPO11, and ITGA1) associated with MIR17Hg. As an inhibitor of the p53 signaling pathway, MDM2 can suppress the development of RB.

conclusionIn conclusion, lncRNAs play a role in RB, and the MIR17HG/hsa-mir-425-5p/MDM2 pathway may contribute to RB development by inhibiting the p53 signaling pathway.

Indexed as

MicroRNAsRetinal NeoplasmsRetinoblastomaRNA, Long Noncodingbeta KaryopherinsChildComputational BiologyHumansInfantRNA, MessengerTumor Suppressor Protein p53beta KaryopherinsIPO11 protein, humanMicroRNAsMIR17HG, humanMIRN455 microRNA, humanRNA, Long NoncodingRNA, MessengerTumor Suppressor Protein p53bioinformaticscompeting endogenous RNAs networklong noncoding RNAMIR17HGretinoblastoma

Identifiers

PMID38321787
PMCPMC10864729
OpenAlexW4391607954

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.