Evidence map›Paper›PMID 32467311›Full record

ArticleRNA (New York, N.Y.)2020

A combinatorially regulated RNA splicing signature predicts breast cancer EMT states and patient survival.

Yushan Qiu, Jingyi Lyu, Mikayla Dunlap, Samuel E Harvey, Chonghui Cheng

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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  8. Frontiers in bioinformatics · 2022
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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

5 authors at 2 institutions in 2 countries.

Yushan QiuLester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Jingyi LyuLester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Mikayla DunlapLester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Samuel E HarveyLester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Chonghui ChengLester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Northwestern University · USBaylor College of Medicine · US

Funding

Regulation of alternative splicing during epithelial-mesenchymal transitionR35GM131876 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI Chonghui Cheng · 2019 to 2026
$3.9M
Investigating the mechanisms of CD44s splice isoform in breast cancer metastasisR01CA182467 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHENG, CHONGHUI · 2014 to 2018
$1.6M
Alternative Splicing of Amyloid Precursor-Like Protein 2 during the Epithelial-Mesenchymal Transition and Cancer MetastasisF30CA196118 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HARVEY, SAMUEL EMERSON · 2015 to 2018
$174k
NCI NIH HHS F30 CA196118NCI NIH HHS R01 CA182467NIGMS NIH HHS R35 GM131876
6 · The paper itself

Abstract

During breast cancer metastasis, the developmental process epithelial-mesenchymal transition (EMT) is abnormally activated. Transcriptional regulatory networks controlling EMT are well-studied; however, alternative RNA splicing also plays a critical regulatory role during this process. A comprehensive understanding of alternative splicing (AS) and the RNA binding proteins (RBPs) that regulate it during EMT and their impact on breast cancer remains largely unknown. In this study, we annotated AS in the breast cancer TCGA data set and identified an AS signature that is capable of distinguishing epithelial and mesenchymal states of the tumors. This AS signature contains 25 AS events, among which nine showed increased exon inclusion and 16 showed exon skipping during EMT. This AS signature accurately assigns the EMT status of cells in the CCLE data set and robustly predicts patient survival. We further developed an effective computational method using bipartite networks to identify RBP-AS networks during EMT. This network analysis revealed the complexity of RBP regulation and nominated previously unknown RBPs that regulate EMT-associated AS events. This study highlights the importance of global AS regulation during EMT in cancer progression and paves the way for further investigation into RNA regulation in EMT and metastasis.

Indexed as

Alternative SplicingBreast NeoplasmsCell Line, TumorEpithelial-Mesenchymal TransitionExonsFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMCF-7 CellsRNARNA-Binding ProteinsRNARNA-Binding Proteinsalternative splicing (AS)breast cancerepithelial–mesenchymal transition (EMT)RNA-binding proteins (RBPs)

Identifiers

PMID32467311
PMCPMC7430667
OpenAlexW3032365447

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.