Evidence map›Paper›PMID 29300757›Full record

ArticlePloS one2018

The effects of alternative splicing on miRNA binding sites in bladder cancer.

Seonggyun Han, Dongwook Kim, Manu Shivakumar, Young-Ji Lee, Tullika Garg, Jason E Miller, Ju Han Kim, Dokyoon Kim, Younghee Lee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-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

17 citing papers in PubMed, 28 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

9 authors at 4 institutions in 2 countries.

Seonggyun HanDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
Dongwook KimDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
Manu ShivakumarDepartment of Biomedical & Translational Informatics, Geisinger Health System, Danville, Pennsylvania, United States of America.
Young-Ji LeeDepartment of Biomedical Informatics, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Tullika GargMowad Urology Department, Geisinger Health System, Danville, Pennsylvania, United States of America.
Jason E MillerDepartment of Biomedical & Translational Informatics, Geisinger Health System, Danville, Pennsylvania, United States of America.
Ju Han KimSeoul National University Biomedical Informatics, Seoul, South Korea.
Dokyoon KimDepartment of Biomedical & Translational Informatics, Geisinger Health System, Danville, Pennsylvania, United States of America.
Younghee LeeDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.ORCID 0000-0002-6850-0082
University of Pittsburgh · USUniversity of Utah · USSeoul National University · KRGeisinger Health System · US

Funding

Pharmacogenomics of Statin TherapyP50GM115318 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RISCH, NEIL J. · 2015 to 2019
$14.0M
NIGMS NIH HHS P50 GM115318NIH HHS P50GM115318
6 · The paper itself

Abstract

Eukaryotic organisms have developed a variety of mechanisms to regulate translation post-transcriptionally, including but not limited to the use of miRNA silencing in many species. One method of post-transcriptional regulation is through miRNAs that bind to the 3' UTRs to regulate mRNA abundance and influence protein expression. Therefore, the diversity of mRNA 3' UTRs mediating miRNA binding sites influence miRNA-mediated regulation. Alternative polyadenylation, by shortening mRNA isoforms, increases the diversity of 3' UTRs; moreover, short mRNA isoforms elude miRNA-medicated repression. Because no current prediction methods for putative miRNA target sites consider whether or not 1) splicing-informed miRNA binding sites and/or 2) the use of 3' UTRs provide higher resolution or functionality, we sought to identify not only the genome-wide impact of using exons in mRNA 3' UTRs but also their functional connection to miRNA regulation and clinical outcomes in cancer. With a genome-wide expression of mRNA and miRNA quantified by 395 bladder cancer cases from The Cancer Genome Atlas (TCGA), we 1) demonstrate the diversity of 3' UTRs affecting miRNA efficiency and 2) identify a set of genes clinically associated with mRNA expression in bladder cancer. Knowledge of 3' UTR diversity will not only be a useful addition to current miRNA target prediction algorithms but also enhance the clinical utility of mRNA isoforms in the expression of mRNA in cancer. Thus, variability among cancer patient's variability in molecular signatures based on these exon usage events in 3' UTR along with miRNAs in bladder cancer may lead to better prognostic/treatment strategies for improved precision medicine.

Indexed as

Alternative SplicingBinding SitesAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesCarcinomaHumansKaplan-Meier EstimateLinear ModelsMicroRNAsNeoplasm StagingPolyadenylationRNA, MessengerUrinary Bladder NeoplasmsAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesBACE1 protein, humanMicroRNAsRNA, Messenger

Identifiers

PMID29300757
PMCPMC5754136
OpenAlexW2781570078

What OpenQuestion holds

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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.