Evidence map›Paper›PMID 31162949›Full record

ArticleJCO clinical cancer informatics2019

Clinical Relevance of Noncoding Adenosine-to-Inosine RNA Editing in Multiple Human Cancers.

Tongjun Gu, Audrey Q Fu, Michael J Bolt, Kevin P White

Open access · greenAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. REIA: A database for cancer A-to-I RNA editing with interactive analysis.International journal of biological sciences · 2022
    Article
  5. Article
  6. Article
  7. 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

4 authors at 3 institutions in 1 country.

Tongjun GuUniversity of Florida, Gainesville, FL.
Audrey Q FuUniversity of Idaho, Moscow, ID.
Michael J BoltThe University of Chicago, Chicago, IL.
Kevin P WhiteThe University of Chicago, Chicago, IL.
University of Chicago · USUniversity of Florida · USUniversity of Idaho · US

Funding

Causal inference of gene regulatory networks with application to breast cancerR00HG007368 · NHGRI · UNIVERSITY OF IDAHO · PI FU, AUDREY QIUYAN · 2015 to 2017
$730k
NHGRI NIH HHS R00 HG007368
6 · The paper itself

Abstract

purposeRNA editing is a post-transcriptional process that alters the nucleotide sequences of certain transcripts, in vertebrate most often converting adenosines to inosines. Multiple studies have recently implicated RNA editing in cancer development; however, most studies have focused on recoding RNA editing events. The function and clinical relevance of noncoding RNA (ncRNA) editing events in cancers have not been systematically examined. PATIENTS AND

methodsWe improved our previously published pipeline to identify ncRNA editing sites from four human cancers: liver hepatocellular carcinoma, lung adenocarcinoma, kidney renal clear-cell carcinoma, and thyroid carcinoma. We then developed multiple advanced statistical models to identify significantly differential edited (DE) sites between tumor and normal samples and clinical relevance ncRNA editing sites, as well as to investigate the association between gene expression, ncRNA editing, and microRNAs. Finally, we validated computational results with experiments.

resultsWe identified 3,788 ncRNA editing sites of high confidence from the four cancers. We found thousands of DE sites which had distinct profiles across the four cancers. In kidney cancer, which had the largest uncensored survival data among the four cancers, 80 DE sites were significantly associated with patient survival. We identified 3' untranslated region (UTR) RNA editing sites that can affect gene expression, either independent of or by working with microRNAs. We validated that the 3'UTR RNA editing sites in

conclusionOn the basis of our computational and experimental results, we hypothesize that 3'UTR editing sites may affect their host gene expression, thereby affecting cell proliferation.

Indexed as

RNA EditingRNA, Untranslated3' Untranslated RegionsAdenosineBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansInosineMicroRNAsNeoplasmsPrognosis3' Untranslated RegionsAdenosineBiomarkers, TumorInosineMicroRNAsRNA, Untranslated

Identifiers

PMID31162949
PMCPMC6874002
OpenAlexW2948277962

What OpenQuestion holds

Textmetadata
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.