Evidence map›Paper›PMID 32682400›Full record

ArticleBMC cancer2020

The prognostic values of m6A RNA methylation regulators in uveal melanoma.

Jing Tang, Qi Wan, Jianqun Lu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

  1. SuppressedInternational journal of molecular sciences · 2026
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  8. Oncology research · 2024
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  13. NFrontiers in immunology · 2022
    Article
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  18. mMolecular therapy : the journal of the American Society of Gene Therapy · 2021
    Article
  19. Recent advances in functional annotation and prediction of the epitranscriptome.Computational and structural biotechnology journal · 2021
    Review
  20. Article
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 1 institution in 1 country.

Jing TangDepartment of Ophthalmology, The People's Hospital of Leshan, city, Leshan, China.
Qi WanDepartment of Ophthalmology, The People's Hospital of Leshan, city, Leshan, China. 824314985@qq.com.
Jianqun LuDepartment of Ophthalmology, The People's Hospital of Leshan, city, Leshan, China.
People's Hospital of Bishan District · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to identify gene signatures and prognostic values of m6A methylation regulators in uveal melanoma (UM).

methodsThe RNA sequencing dataset and corresponding clinical information were downloaded from TCGA and GEO database. Based on the expression of m6A RNA methylation regulators, the patients were further clustered into different groups by applying the "ClassDiscovery" algorithm. Best survival analysis was performed to select prognostic m6A regulators and multivariate cox regression analysis was applied to constructed m6A regulators signature. The association between mutations and m6A regulators was assessed by Kruskal-Wallis tests and clinical characteristics were examined by using chi-square test.

resultsTotally, we identified two molecular subtypes of UM (C1/2) by applying consensus clustering to m6A RNA methylation regulators. In contrast to the C1 subtype, the C2 subtype associates with a better prognosis, has higher percentage of subtype 1 and lower percentage of Monosomy 3 which have been regarded as the well established prognostic markers for UM. The malignant hallmarks of mTORC1 signaling, oxidative phosphorylation, interferon-a response and apoptosis signaling are also significantly enriched in the C1 subtype. Moreover, a 3-m6A regulators signature was constructed by multivariate cox regression analysis method, which closely correlated with chromosome 3 status, subtype 1 of UM and can robustly predict patients' overall survival time.

conclusionsm6A RNA methylation regulators take a crucial role in the potential malignant progression and prognostic value of UM and might be regarded as a new promising biomarker for UM prognosis and treatment strategy development.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorDatasets as TopicFemaleGene Expression ProfilingHumansMaleMelanomaMethylationMiddle AgedPrognosisRNASequence Analysis, RNASurvival AnalysisTranscriptomeUveal MelanomaBiomarkers, TumorRNAbiomarkerm6A regulatorsSurvival analysisUveal melanoma

Identifiers

PMID32682400
PMCPMC7368742
OpenAlexW3042284761

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.