Evidence map›Paper›PMID 28059167›Full record

ArticleScientific reports2017

Splicing imbalances in basal-like breast cancer underpin perturbation of cell surface and oncogenic pathways and are associated with patients' survival.

Filipe Gracio, Brian Burford, Patrycja Gazinska, Anca Mera, Aisyah Mohd Noor, Pierfrancesco Marra, Cheryl Gillett, Anita Grigoriadis, Sarah Pinder, Andrew Tutt and 1 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Filipe GracioGuy's and St Thomas' NHS Foundation Trust and King's College London NIHR Biomedical Research Centre - Translational Bioinformatics Platform, Guy's Hospital, London, UK.
Brian BurfordBreast Cancer Now Research Unit King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London.
Patrycja GazinskaBreast Cancer Now Research Unit King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London.
Anca MeraCancer Epidemiology Group, King's Health Partners AHSC, King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London, UK.
Aisyah Mohd NoorBreast Cancer Now Research Unit King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London.
Pierfrancesco MarraBreast Cancer Now Research Unit King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London.
Cheryl GillettResearch Oncology, King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London, UK.
Anita GrigoriadisBreast Cancer Now Research Unit King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London.
Sarah PinderResearch Oncology, King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London, UK.
Andrew TuttBreast Cancer Now Research Unit King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London.
Emanuele de RinaldisGuy's and St Thomas' NHS Foundation Trust and King's College London NIHR Biomedical Research Centre - Translational Bioinformatics Platform, Guy's Hospital, London, UK.
King's College London · GBGuy's Hospital · GBBreast Cancer Now · GBKings Health Partners · GB

Funding

Cancer Research UK
6 · The paper itself

Abstract

Despite advancements in the use of transcriptional information to understand and classify breast cancers, the contribution of splicing to the establishment and progression of these tumours has only recently starting to emerge. Our work explores this lesser known landscape, with special focus on the basal-like breast cancer subtype where limited therapeutic opportunities and no prognostic biomarkers are currently available. Using ExonArray analysis of 176 breast cancers and 9 normal breast tissues we demonstrate that splicing levels significantly contribute to the diversity of breast cancer molecular subtypes and explain much of the differences compared with normal tissues. We identified pathways specifically affected by splicing imbalances whose perturbation would be hidden from a conventional gene-centric analysis of gene expression. We found that a large fraction of them involve cell-to-cell communication, extracellular matrix and transport, as well as oncogenic and immune-related pathways transduced by plasma membrane receptors. We identified 247 genes in which splicing imbalances are associated with clinical patients' outcome, whilst no association was detectable at the gene expression level. These include the signaling gene TGFBR1, the proto-oncogene MYB as well as many immune-related genes such as CCR7 and FCRL3, reinforcing evidence for a role of immune components in influencing breast cancer patients' prognosis.

Indexed as

Alternative SplicingGene Expression Regulation, NeoplasticBreast NeoplasmsCarcinogenesisExonsFemaleGene ExpressionHumansMembrane ProteinsProto-Oncogene MasSignal TransductionMAS1 protein, humanMembrane ProteinsProto-Oncogene Mas

Identifiers

PMID28059167
PMCPMC5216415
OpenAlexW2571090529

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.