Evidence map›Paper›PMID 34534336›Full record

ArticleNucleic acids research2022

GPEdit: the genetic and pharmacogenomic landscape of A-to-I RNA editing in cancers.

Hang Ruan, Qiang Li, Yuan Liu, Yaoming Liu, Charles Lussier, Lixia Diao, Leng Han

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. 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
1.6field-weighted citation impact, top 16% 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, 21 citations in OpenAlex.

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  11. RNA modifications in cancer.British journal of cancer · 2023
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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

7 authors at 3 institutions in 1 country.

Hang RuanDepartment of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Qiang LiCenter for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030, USA.
Yuan LiuCenter for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030, USA.
Yaoming LiuDepartment of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Charles LussierCenter for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030, USA.
Lixia DiaoDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Leng HanDepartment of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0002-7380-2640
Prevention Institute · USThe University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · US

Funding

Systematic Characterization of Small Nucleolar RNAs in CancerR01CA262623 · NCI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2025
$2.0M
MolQTL: A comprehensive resource for molecular quantitative trait loci inhuman cancer.R01HG011633 · NHGRI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2025
$1.9M
Characterization of Alternative Polyadenylation in Alzheimer's DiseaseR03AG070417 · NIA · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2022
$306k
NCI NIH HHS R01 CA262623NHGRI NIH HHS R01 HG011633NIA NIH HHS R03 AG070417
6 · The paper itself

Abstract

Altered A-to-I RNA editing has been widely observed in many human cancers and some editing sites are associated with drug sensitivity, implicating its therapeutic potential. Increasing evidence has demonstrated that a quantitative trait loci mapping approach is effective to understanding the genetic basis of RNA editing. We systematically performed RNA editing quantitative trait loci (edQTL) analysis in 33 human cancer types for >10 000 cancer samples and identified 320 029 edQTLs. We also identified 1688 ed-QTLs associated with patient overall survival and 4672 ed-QTLs associated with GWAS risk loci. Furthermore, we demonstrated the associations between RNA editing and >1000 anti-cancer drug response with ∼3.5 million significant associations. We developed GPEdit (https://hanlab.uth.edu/GPEdit/) to facilitate a global map of the genetic and pharmacogenomic landscape of RNA editing. GPEdit is a user-friendly and comprehensive database that provides an opportunity for a better understanding of the genetic impact and the effects on drug response of RNA editing in cancers.

Indexed as

Databases, FactualAntineoplastic AgentsGenome-Wide Association StudyHumansNeoplasmsPharmacogeneticsQuantitative Trait LociRNA EditingTranscriptomeAntineoplastic Agents

Identifiers

PMID34534336
PMCPMC8728115
OpenAlexW3201013453

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.