Evidence map›Paper›PMID 30816460›Full record

ArticleMolecular medicine reports2019

Prognostic significance of deregulated microRNAs in uveal melanomas.

Luca Falzone, Giovanni L Romano, Rossella Salemi, Claudio Bucolo, Barbara Tomasello, Gabriella Lupo, Carmelina D Anfuso, Demetrios A Spandidos, Massimo Libra, Saverio Candido

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05179174 (The Role of Genetic Mutations and of Circulating mRNAs in Uveal Melanoma), which is not on this map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
16.8field-weighted citation impact, top 1% 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.

NCT05179174 unknown statusnot on this mapstarted 2021, after this paper: background citation

The Role of Genetic Mutations and of Circulating mRNAs in Uveal Melanoma

TypeobservationalSponsorUniversity of CataniaRan2021 to 2023Enrolled102ConditionsUveal MelanomaArmsblood sample examination
3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
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  5. Role of miRNA in adult ocular tumorigenesis.Frontiers in molecular biosciences · 2025
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5 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 2 countries.

Luca FalzoneDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Giovanni L RomanoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Rossella SalemiDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Claudio BucoloDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Barbara TomaselloDepartment of Drug Sciences, University of Catania, 95125 Catania, Italy.
Gabriella LupoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Carmelina D AnfusoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Demetrios A SpandidosLaboratory of Clinical Virology, School of Medicine, University of Crete, 71003 Heraklion, Greece.
Massimo LibraDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Saverio CandidoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
University of Catania · ITUniversity of Crete · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uveal melanoma (UM) represents the most frequent primary tumor of the eye. Despite the development of new drugs and screening programs, the prognosis of patients with UM remains poor and no effective prognostic biomarkers are yet able to identify high‑risk patients. Therefore, in the present study, microRNA (miRNA or miR) expression data, contained in the TCGA UM (UVM) database, were analyzed in order to identify a set of miRNAs with prognostic significance to be used as biomarkers in clinical practice. Patients were stratified into 2 groups, including tumor stage (high‑grade vs. low‑grade) and status (deceased vs. alive); differential analyses of miRNA expression among these groups were performed. A total of 20 deregulated miRNAs for each group were identified. In total 7 miRNAs were common between the groups. The majority of common miRNAs belonged to the miR‑506‑514 cluster, known to be involved in UM development. The prognostic value of the 20 selected miRNAs related to tumor stage was assessed. The deregulation of 12 miRNAs (6 upregulated and 6 downregulated) was associated with a worse prognosis of patients with UM. Subsequently, miRCancerdb and microRNA Data Integration Portal bioinformatics tools were used to identify a set of genes associated with the 20 miRNAs and to establish their interaction levels. By this approach, 53 different negatively and positively associated genes were identified. Finally, DIANA‑mirPath prediction pathway and Gene Ontology enrichment analyses were performed on the lists of genes previously generated to establish their functional involvement in biological processes and molecular pathways. All the miRNAs and genes were involved in molecular pathways usually altered in cancer, including the mitogen‑activated protein kinase (MAPK) pathway. Overall, the findings of the presents study demonstrated that the miRNAs of the miR‑506‑514 cluster, hsa‑miR‑592 and hsa‑miR‑199a‑5p were the most deregulated miRNAs in patients with high‑grade disease compared to those with low‑grade disease and were strictly related to the overall survival (OS) of the patients. However, further in vitro and translational approaches are required to validate these preliminary findings.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorComputational BiologyDatabases, GeneticGene Expression ProfilingGene OntologyHumansKaplan-Meier EstimateMelanomaMicroRNAsNeoplasm StagingPrognosisRNA InterferenceSignal TransductionUveal MelanomaUveal NeoplasmsBiomarkers, TumorMicroRNAs

Identifiers

PMID30816460
PMCPMC6423615
OpenAlexW2914775578

What OpenQuestion holds

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Registered trials

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.