Evidence map›Paper›PMID 29273356›Full record

ArticleEBioMedicine2018

Global Transcriptome Analysis of RNA Abundance Regulation by ADAR in Lung Adenocarcinoma.

Michael F Sharpnack, Bin Chen, Dvir Aran, Idit Kosti, Douglas D Sharpnack, David P Carbone, Parag Mallick, Kun Huang

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-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

18 citing papers in PubMed, 45 citations in OpenAlex.

  1. De novo rates of aProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. ADAR regulates APOL1 via A-to-I RNA editing by inhibition of MDA5 activation in a paradoxical biological circuit.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Non-Coding RNAs in Lung Tumor Initiation and Progression.International journal of molecular sciences · 2020
    Review
  13. Article
  14. Article
  15. WidespreadRNA (New York, N.Y.) · 2019
    Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Michael F SharpnackDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, United States.
Bin ChenInstitute for Computational Health Sciences, University of California San Francisco, San Francisco, CA, United States.
Dvir AranInstitute for Computational Health Sciences, University of California San Francisco, San Francisco, CA, United States.
Idit KostiInstitute for Computational Health Sciences, University of California San Francisco, San Francisco, CA, United States.
Douglas D SharpnackVet Path Services, Inc., Cincinnati, OH, United States.
David P CarboneComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States.
Parag MallickCanary Center for Cancer Early Detection, Stanford University, Palo Alto, CA, United States. Electronic address: paragm@stanford.edu.
Kun HuangDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, United States; Current Address: Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States. Electronic address: kunhuang@iu.edu.
University of California, San Francisco · USThe Ohio State University · USIndiana University – Purdue University Indianapolis · USStanford University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

Despite tremendous advances in targeted therapies against lung adenocarcinoma, the majority of patients do not benefit from personalized treatments. A deeper understanding of potential therapeutic targets is crucial to increase the survival of patients. One promising target, ADAR, is amplified in 13% of lung adenocarcinomas and in-vitro studies have demonstrated the potential of its therapeutic inhibition to inhibit tumor growth. ADAR edits millions of adenosines to inosines within the transcriptome, and while previous studies of ADAR in cancer have solely focused on protein-coding edits, >99% of edits occur in non-protein coding regions. Here, we develop a pipeline to discover the regulatory potential of RNA editing sites across the entire transcriptome and apply it to lung adenocarcinoma tumors from The Cancer Genome Atlas. This method predicts that 1413 genes contain regulatory edits, predominantly in non-coding regions. Genes with the largest numbers of regulatory edits are enriched in both apoptotic and innate immune pathways, providing a link between these known functions of ADAR and its role in cancer. We further show that despite a positive association between ADAR RNA expression and apoptotic and immune pathways, ADAR copy number is negatively associated with apoptosis and several immune cell types' signatures.

Indexed as

Gene Expression ProfilingGene Expression Regulation, Neoplastic3' Untranslated RegionsAdenocarcinomaAdenocarcinoma of LungAdenosine DeaminaseApolipoprotein L1ApoptosisGene AmplificationGene DosageHumansImmunity, InnateLung NeoplasmsRNA-Binding ProteinsRNA EditingRNA, Neoplasm3' Untranslated RegionsADAR protein, humanAdenosine DeaminaseAPOL1 protein, humanApolipoprotein L1RNA-Binding ProteinsRNA, NeoplasmADARBioinformaticsCancerLung adenocarcinomaPost-transcriptional regulationRNA editing

Identifiers

PMID29273356
PMCPMC5828651
OpenAlexW2774140574

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.