Evidence map›Paper›PMID 40712994›Full record

ArticleThe Journal of molecular diagnostics : JMD2025

Bridging the Diagnostic Gap in Hereditary Cancers with Simple, Cost-Effective, High-Throughput RNA Splicing Analysis.

Julie Amiot, Corentin Levacher, Louise May Thibaut, Gwendoline Lienard, Stéphanie Vasseur, Olivier Quenez, Sophie Coutant, Steeve Fourneaux, Françoise Charbonnier, Hugo Thorn and 9 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 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

19 authors.

Julie AmiotUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France; Department of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Corentin LevacherUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France.
Louise May ThibautLaboratory of Biology and Cancer Genetics, Centre François Baclesse, FHU-G4 Génomique, Caen, France; Inserm U1245, Normandie Université, UNICAEN, Rouen, France.
Gwendoline LienardDepartment of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Stéphanie VasseurDepartment of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Olivier QuenezUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France; Department of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Sophie CoutantUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France; Department of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Steeve FourneauxUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France; Department of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Françoise CharbonnierUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France; Department of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Hugo ThornDepartment of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Angélina LegrosLaboratory of Biology and Cancer Genetics, Centre François Baclesse, FHU-G4 Génomique, Caen, France; Inserm U1245, Normandie Université, UNICAEN, Rouen, France.
Camille AucouturierLaboratory of Biology and Cancer Genetics, Centre François Baclesse, FHU-G4 Génomique, Caen, France; Inserm U1245, Normandie Université, UNICAEN, Rouen, France.
Laurent CastéraLaboratory of Biology and Cancer Genetics, Centre François Baclesse, FHU-G4 Génomique, Caen, France; Inserm U1245, Normandie Université, UNICAEN, Rouen, France.
Raphaël LemanLaboratory of Biology and Cancer Genetics, Centre François Baclesse, FHU-G4 Génomique, Caen, France; Inserm U1245, Normandie Université, UNICAEN, Rouen, France.
Edwige KasperUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France; Department of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Stéphanie Baert-DesurmontUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France; Department of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France.
Sophie KriegerLaboratory of Biology and Cancer Genetics, Centre François Baclesse, FHU-G4 Génomique, Caen, France; Inserm U1245, Normandie Université, UNICAEN, Rouen, France.
Philippe RuminyUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Centre Henri Becquerel, Rouen, France.
Claude HoudayerUniversité de Rouen Normandie, Inserm U1245, Normandie Université, Rouen, France; Department of Genetics, Université de Rouen Normandie, Normandie Université, CHU Rouen, FHU-G4 Génomique, Rouen, France. Electronic address: claude.houdayer@chu-rouen.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic analysis of mRNA is essential because altered splicing is a frequent cause of genetic diseases. High-throughput splicing studies remain difficult to implement in routine diagnostics. This is why SEALigHTS (splice and expression analyses by ligation and high throughput sequencing), a cost-effective and easy-to-implement technique designed for simultaneous analysis of RNA from multiple patients on a panel of genes, was developed using probes designed at exon extremities. After reverse transcription and probing on cDNA, neighboring probes are ligated and the number of ligations quantified by using unique molecular identifiers and sequencing. A panel covering 42 genes (ie, 2195 probes) involved in breast/ovarian and colorectal cancer predispositions was designed. After a training phase on 40 samples, SEALigHTS was validated in another laboratory on 56 samples carrying various splicing variations previously characterized by RNA sequencing, with a sensitivity of 96% and specificity of 94%. Subsequently, in a series of 37 selected patients and 114 consecutive patients from the genetics clinic with a concomitant DNA panel, five new diagnoses were made, revealing the impact on splicing of a cryptic genomic variant (deep intronic, retrotransposon insertion), and the unexpected impact on splicing of six genomic variations was unmasked. Beyond increased diagnostic yield and classification of variants of uncertain significance, this comprehensive DNA and RNA combined approach highlights unexpected splicing defects and addresses genotype-phenotype correlation issues.

Indexed as

High-Throughput Nucleotide SequencingNeoplasmsRNA SplicingCost-Benefit AnalysisExonsFemaleGenetic Predisposition to DiseaseHumansSensitivity and Specificity

Identifiers

PMID40712994
PMCPMC12597563

What OpenQuestion holds

Textmetadata
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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.