Evidence map›Paper›PMID 30623411›Full record

ArticleInternational journal of cancer2019

Targeted RNA-seq successfully identifies normal and pathogenic splicing events in breast/ovarian cancer susceptibility and Lynch syndrome genes.

Rita D Brandão, Klaas Mensaert, Irene López-Perolio, Demis Tserpelis, Markos Xenakis, Vanessa Lattimore, Logan C Walker, Anders Kvist, Ana Vega, Sara Gutiérrez-Enríquez and 6 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in International journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  15. BRCA1 and Breast Cancer: Molecular Mechanisms and Therapeutic Strategies.Frontiers in cell and developmental biology · 2022
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Cancers · 2021
    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

16 authors at 9 institutions in 7 countries.

Rita D BrandãoDepartment of Clinical Genetics, Maastricht University Medical Centre+, GROW- School for Oncology and Developmental Biology, Maastricht, The Netherlands.ORCID 0000-0002-7597-5764
Klaas MensaertDepartment of Data Analysis and Mathematical Modelling and Bioinformatics Institute Ghent N2N, Ghent University, Ghent, Belgium.
Irene López-PerolioMolecular Oncology Laboratory CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain.
Demis TserpelisDepartment of Clinical Genetics, Maastricht University Medical Centre+, GROW- School for Oncology and Developmental Biology, Maastricht, The Netherlands.
Markos XenakisDepartment of Clinical Genetics, Maastricht University Medical Centre+, GROW- School for Oncology and Developmental Biology, Maastricht, The Netherlands.
Vanessa LattimoreDepartment of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.ORCID 0000-0002-5374-1035
Logan C WalkerDepartment of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.ORCID 0000-0003-0018-3719
Anders KvistDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.ORCID 0000-0002-1358-0695
Ana VegaFundación Pública Galega de Medicina Xenómica-Servicio Galgo de Saúde, Grupo de Medicina Xenómica-USC, CIBERER, IDIS, Santiago de Compostela, Spain.ORCID 0000-0002-7416-5137
Sara Gutiérrez-EnríquezOncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.ORCID 0000-0002-1711-6101
Orland DíezOncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.ORCID 0000-0001-7339-0570
KConFaB InvestigatorsPeter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
Miguel de la HoyaMolecular Oncology Laboratory CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain.ORCID 0000-0002-8113-1410
Amanda B SpurdleDepartment of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID 0000-0003-1337-7897
Tim De MeyerDepartment of Data Analysis and Mathematical Modelling and Bioinformatics Institute Ghent N2N, Ghent University, Ghent, Belgium.ORCID 0000-0003-2994-9693
Marinus J BlokDepartment of Clinical Genetics, Maastricht University Medical Centre+, GROW- School for Oncology and Developmental Biology, Maastricht, The Netherlands.ORCID 0000-0002-7935-5933
Maastricht University Medical Centre · NLInstituto de Investigación Sanitaria del Hospital Clínico San Carlos · ESQIMR Berghofer Medical Research Institute · AUUniversity of Otago · NZFundación Pública Galega de Medicina Xenómica · ESGhent University · BEHebron University · PSLund University · SEVall d'Hebron Institut de Recerca · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A subset of genetic variants found through screening of patients with hereditary breast and ovarian cancer syndrome (HBOC) and Lynch syndrome impact RNA splicing. Through target enrichment of the transcriptome, it is possible to perform deep-sequencing and to identify the different and even rare mRNA isoforms. A targeted RNA-seq approach was used to analyse the naturally-occurring splicing events for a panel of 8 breast and/or ovarian cancer susceptibility genes (BRCA1, BRCA2, RAD51C, RAD51D, PTEN, STK11, CDH1, TP53), 3 Lynch syndrome genes (MLH1, MSH2, MSH6) and the fanconi anaemia SLX4 gene, in which monoallelic mutations were found in non-BRCA families. For BRCA1, BRCA2, RAD51C and RAD51D the results were validated by capillary electrophoresis and were compared to a non-targeted RNA-seq approach. We also compared splicing events from lymphoblastoid cell-lines with those from breast and ovarian fimbriae tissues. The potential of targeted RNA-seq to detect pathogenic changes in RNA-splicing was validated by the inclusion of samples with previously well characterized BRCA1/2 genetic variants. In our study, we update the catalogue of normal splicing events for BRCA1/2, provide an extensive catalogue of normal RAD51C and RAD51D alternative splicing, and list splicing events found for eight other genes. Additionally, we show that our approach allowed the identification of aberrant splicing events due to the presence of BRCA1/2 genetic variants and distinguished between complete and partial splicing events. In conclusion, targeted-RNA-seq can be very useful to classify variants based on their putative pathogenic impact on splicing.

Indexed as

RNA SplicingBRCA1 ProteinBRCA2 ProteinCell Line, TumorColorectal Neoplasms, Hereditary NonpolyposisDNA-Binding ProteinsElectrophoresis, CapillaryFemaleGenetic Predisposition to DiseaseHereditary Breast and Ovarian Cancer SyndromeHumansMutationSequence Analysis, RNABRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanDNA-Binding ProteinsRAD51C protein, humanRAD51D protein, humanalternative splicingBRCA1/2inherited breast/ovarian cancer syndromelynch syndrometargeted RNA-seq

Identifiers

PMID30623411
PMCPMC6635756
OpenAlexW2910691415

What OpenQuestion holds

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LicenceCC BY-NC
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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.