ArticleFrontiers in genetics2019
Genomic Positional Dissection of RNA Editomes in Tumor and Normal Samples.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Targeting ADAR1 lactylation activates innate immune and overcomes chemoresistance in ovarian cancer.Cell death and differentiation · 2026Article
- RNA editing in Parkinson's disease: emerging mechanisms, translational potential, and current challenges.Frontiers in neuroscience · 2026Review
- Nomogram Based on A-To-I RNA Editing for Predicting Overall Survival in Patients With Breast Cancer.Journal of cellular and molecular medicine · 2025Article
- Massive RNA Editing in Ascetosporean Mitochondria.Microbes and environments · 2025Article
- A novel computational method enables RNA editome profiling during human hematopoiesis from scRNA-seq data.Scientific reports · 2023Article
- The Integrative Studies on the Functional A-to-I RNA Editing Events in Human Cancers.Genomics, proteomics & bioinformatics · 2023Article
- Article
- Genetic control of RNA editing in neurodegenerative disease.Briefings in bioinformatics · 2023Article
- Clinical relevance of RNA editing profiles in lung adenocarcinoma.Frontiers in genetics · 2023Article
- Genome-wide identification of A-to-I RNA editing events provides the functional implications in PDAC.Frontiers in oncology · 2023Article
- ADeditome provides the genomic landscape of A-to-I RNA editing in Alzheimer's disease.Briefings in bioinformatics · 2021Article
- RNA editing affects cis-regulatory elements and predicts adverse cancer survival.Cancer medicine · 2021Article
- ADARs, RNA editing and more in hematological malignancies.Leukemia · 2021Review
- Advancing Pan-cancer Gene Expression Survial Analysis by Inclusion of Non-coding RNA.RNA biology · 2020Article
- Genome-Wide Characterization of RNA Editing Sites in Primary Gastric Adenocarcinoma through RNA-seq Data Analysis.International journal of genomics · 2020Article
- APOBEC3-Mediated RNA Editing in Breast Cancer is Associated with Heightened Immune Activity and Improved Survival.International journal of molecular sciences · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
RNA editing is phenomenon that occurs in both protein coding and non-coding RNAs. Increasing evidence have shown that adenosine-to-inosine RNA editing can potentially rendering substantial functional effects throughout the genome. Using RNA editing datasets from two large consortiums: The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) project, we quantitatively analyzed human genome-wide RNA editing events derived from tumor or normal tissues. Generally, a common RNA editing site tends to have a higher editing level in tumors as compared to normal samples. Of the 14 tumor-normal-paired cancer types examined, Eleven of the 14 cancers tested had overall increased RNA editing levels in the tumors. The editomes in cancer or normal tissues were dissected by genomic locations, and significant RNA editing locational difference was found between cancerous and healthy subjects. Additionally, our results indicated a significant correlation between the RNA editing rate and the gene density across chromosomes, highlighted hyper RNA editing clusters through visualization of running RNA editing rates along chromosomes, and identified hyper RNA edited genes (protein-coding genes, lincRNAs, and pseudogenes) that embody a large portion of cancer prognostic predictors. This study reinforces the potential functional effects of RNA editing in protein-coding genes, and also makes a strong foundation for further exploration of RNA editing's roles in non-coding regions.
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Registered trials
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 Socratic graph.