Evidence map›Paper›PMID 40059100›Full record

ArticleScientific reports2025

Identification of diagnostic and prognostic genetic alterations in uveal melanoma using RNA sequencing.

Rogier J Nell, Mieke Versluis, Davy Cats, Hailiang Mei, Robert M Verdijk, Wilma G M Kroes, Gregorius P M Luyten, Martine J Jager, Pieter A van der Velden

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Rogier J NellDepartment of Ophthalmology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands. r.j.nell@lumc.nl.
Mieke VersluisDepartment of Ophthalmology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Davy CatsDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Hailiang MeiDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Robert M VerdijkDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Wilma G M KroesDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Gregorius P M LuytenDepartment of Ophthalmology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Martine J JagerDepartment of Ophthalmology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Pieter A van der VeldenDepartment of Ophthalmology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.

Funding

European Union's Horizon 2020 research and innovation program 667787 (UM Cure)
6 · The paper itself

Abstract

Uveal melanoma is a lethal intraocular tumour, in which the presence of various genetic alterations correlates with the risk of metastatic dissemination and survival. Here, we tested the detectability of all key mutations and chromosomal changes from RNA sequencing data in 80 primary uveal melanomas studied by The Cancer Genome Atlas (TCGA) initiative, and in five prospective cases. Whereas unsupervised gene expression profiling strongly indicated the presence of chromosome 3 alterations, it was not reliable in identifying other alterations. Though, the presence of both chromosome 3 and 8q copy number alterations could be successfully inferred from expressed allelic imbalances of heterozygous common single nucleotide polymorphisms. Most mutations were adequately recognised in the RNA by their nucleotide changes (all genes), alternative splicing around the mutation (BAP1) and transcriptome-wide aberrant splicing (SF3B1). Notably, in the TCGA cohort we detected previously unreported mutations in BAP1 (n = 3) and EIF1AX (n = 5), that were missed by the original DNA sequencing. In our prospective cohort, all genetic alterations were successfully identified by combining the described approaches. In conclusion, a transcriptional analysis presents insights into the expressed tumour genotype and its phenotypic consequences and may augment or even substitute DNA-based approaches, with potential applicability in research and clinical practice.

Indexed as

MelanomaUveal NeoplasmsAgedAlternative SplicingChromosomes, Human, Pair 3DNA Copy Number VariationsEukaryotic Initiation Factor-1FemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMutationPhosphoproteinsPolymorphism, Single NucleotideBAP1 protein, humanEukaryotic Initiation Factor-1eukaryotic peptide initiation factor-1APhosphoproteinsRNA Splicing FactorsSF3B1 protein, humanTumor Suppressor ProteinsUbiquitin ThiolesteraseGenetic profilingRNA sequencingUveal melanoma

Identifiers

PMID40059100
PMCPMC11891316

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.