Evidence map›Paper›PMID 34789196›Full record

ArticleBMC cancer2021

The landscape of coding RNA editing events in pediatric cancer.

Ji Wen, Michael Rusch, Samuel W Brady, Ying Shao, Michael N Edmonson, Timothy I Shaw, Brent B Powers, Liqing Tian, John Easton, Charles G Mullighan and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. 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
1.9field-weighted citation impact, top 13% 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, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Advances in Detection Methods for A-to-I RNA Editing.Wiley interdisciplinary reviews. RNA
    Review
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 1 country.

Ji Wen *Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Michael Rusch *Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Samuel W Brady *Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Ying ShaoDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Michael N EdmonsonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Timothy I ShawDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Brent B PowersDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Liqing TianDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
John EastonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Charles G MullighanDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Tanja GruberDepartment of Pediatrics, Stanford University, Palo Alto, California, 94305, USA.
David EllisonDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Jinghui ZhangDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA. Jinghui.Zhang@StJude.org.ORCID http://orcid.org/0000-0003-3350-9682
St. Jude Children's Research Hospital · USPalo Alto University · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
NCI NIH HHS P30 CA021765NIH HHS P30CA021765
6 · The paper itself

Abstract

backgroundRNA editing leads to post-transcriptional variation in protein sequences and has important biological implications. We sought to elucidate the landscape of RNA editing events across pediatric cancers.

methodsUsing RNA-Seq data mapped by a pipeline designed to minimize mapping ambiguity, we investigated RNA editing in 711 pediatric cancers from the St. Jude/Washington University Pediatric Cancer Genome Project focusing on coding variants which can potentially increase protein sequence diversity. We combined de novo detection using paired tumor DNA-RNA data with analysis of known RNA editing sites.

resultsWe identified 722 unique RNA editing sites in coding regions across pediatric cancers, 70% of which were nonsynonymous recoding variants. Nearly all editing sites represented the canonical A-to-I (n = 706) or C-to-U sites (n = 14). RNA editing was enriched in brain tumors compared to other cancers, including editing of glutamate receptors and ion channels involved in neurotransmitter signaling. RNA editing profiles of each pediatric cancer subtype resembled those of the corresponding normal tissue profiled by the Genotype-Tissue Expression (GTEx) project.

conclusionsIn this first comprehensive analysis of RNA editing events in pediatric cancer, we found that the RNA editing profile of each cancer subtype is similar to its normal tissue of origin. Tumor-specific RNA editing events were not identified indicating that successful immunotherapeutic targeting of RNA-edited peptides in pediatric cancer should rely on increased antigen presentation on tumor cells compared to normal but not on tumor-specific RNA editing per se.

Indexed as

RNA EditingBrain NeoplasmsChildDNA, NeoplasmHumansImmunotherapyNeoplasmsOpen Reading FramesOrgan SpecificityRNA, NeoplasmSequence Analysis, RNAWhole Genome SequencingDNA, NeoplasmRNA, NeoplasmGenomicsImmunotherapyPediatric cancerRNA editing

Identifiers

PMID34789196
PMCPMC8597231
OpenAlexW3211695055

What OpenQuestion holds

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LicenceCC BY
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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.