Evidence map›Paper›PMID 28592875›Full record

ArticleScientific reports2017

Splice variants as novel targets in pancreatic ductal adenocarcinoma.

Jun Wang, Laurent Dumartin, Andrea Mafficini, Pinar Ulug, Ajanthah Sangaralingam, Namaa Audi Alamiry, Tomasz P Radon, Roberto Salvia, Rita T Lawlor, Nicholas R Lemoine and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 79 citations in OpenAlex.

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  20. Molecular karyotyping and gene expression analysis in childhood cancer patients.Journal of molecular medicine (Berlin, Germany) · 2020
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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

13 authors at 2 institutions in 2 countries.

Jun WangCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK. j.a.wang@qmul.ac.uk.
Laurent DumartinCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK.
Andrea MafficiniARC-Net Research Centre and Department of Diagnostics and Publich Health, Section of Pathology, University and Hospital Trust of Verona, Verona, Italy.ORCID 0000-0002-7471-3121
Pinar UlugCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK.ORCID 0000-0001-9719-1090
Ajanthah SangaralingamCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK.
Namaa Audi AlamiryCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK.
Tomasz P RadonCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK.
Roberto SalviaARC-Net Research Centre and Department of Diagnostics and Publich Health, Section of Pathology, University and Hospital Trust of Verona, Verona, Italy.
Rita T LawlorARC-Net Research Centre and Department of Diagnostics and Publich Health, Section of Pathology, University and Hospital Trust of Verona, Verona, Italy.
Nicholas R LemoineCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK.
Aldo ScarpaARC-Net Research Centre and Department of Diagnostics and Publich Health, Section of Pathology, University and Hospital Trust of Verona, Verona, Italy.ORCID 0000-0003-1678-739X
Claude ChelalaCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK.
Tatjana Crnogorac-JurcevicCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, EC1M 6BQ, UK. t.c.jurcevic@qmul.ac.uk.
Queen Mary University of London · GBUniversity of Verona · IT

Funding

Cancer Research UK 12008
6 · The paper itself

Abstract

Despite a wealth of genomic information, a comprehensive alternative splicing (AS) analysis of pancreatic ductal adenocarcinoma (PDAC) has not been performed yet. In the present study, we assessed whole exome-based transcriptome and AS profiles of 43 pancreas tissues using Affymetrix exon array. The AS analysis of PDAC indicated on average two AS probe-sets (ranging from 1-28) in 1,354 significantly identified protein-coding genes, with skipped exon and alternative first exon being the most frequently utilised. In addition to overrepresented extracellular matrix (ECM)-receptor interaction and focal adhesion that were also seen in transcriptome differential expression (DE) analysis, Fc gamma receptor-mediated phagocytosis and axon guidance AS genes were also highly represented. Of note, the highest numbers of AS probe-sets were found in collagen genes, which encode the characteristically abundant stroma seen in PDAC. We also describe a set of 37 'hypersensitive' genes which were frequently targeted by somatic mutations, copy number alterations, DE and AS, indicating their propensity for multidimensional regulation. We provide the most comprehensive overview of the AS landscape in PDAC with underlying changes in the spliceosomal machinery. We also collate a set of AS and DE genes encoding cell surface proteins, which present promising diagnostic and therapeutic targets in PDAC.

Indexed as

Alternative SplicingGene Expression Regulation, NeoplasticAgedAged, 80 and overCarcinoma, Pancreatic DuctalCell Line, TumorExonsFemaleGene Expression ProfilingHumansMaleMiddle AgedPancreatic NeoplasmsSpliceosomesTranscriptome

Identifiers

PMID28592875
PMCPMC5462735
OpenAlexW2620594236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.