Evidence map›Paper›PMID 32117713›Full record

ArticleFrontiers in oncology2020

Genomic Identification of RNA Editing Through Integrating Omics Datasets and the Clinical Relevance in Hepatocellular Carcinoma.

Juan Chen, Lu Wang, Fangbin Wang, Jian Liu, Zhenyu Bai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. 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
1.3field-weighted citation impact, top 22% 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, 19 citations in OpenAlex.

  1. Article
  2. RBPs: an RNA editor's choice.Frontiers in molecular biosciences · 2024
    Review
  3. Research on Predicting the Occurrence of Hepatocellular Carcinoma Based on Notch Signal-Related Genes Using Machine Learning Algorithms.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article
  4. Article
  5. REIA: A database for cancer A-to-I RNA editing with interactive analysis.International journal of biological sciences · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors at 1 institution in 1 country.

Juan ChenSchool of Food and Biological Engineering, Hefei University of Technology, Hefei, China.
Lu WangSchool of Food and Biological Engineering, Hefei University of Technology, Hefei, China.
Fangbin WangSchool of Food and Biological Engineering, Hefei University of Technology, Hefei, China.
Jian LiuSchool of Food and Biological Engineering, Hefei University of Technology, Hefei, China.
Zhenyu BaiDepartment of Laboratory, General Hospital of Pingmei Shenma Medical Group, Pingdingshan, China.
Hefei University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA editing is a widespread post-transcriptional mechanism to introduce single nucleotide changes to RNA in human cancers. Here, we characterized the global RNA editing profiles of 373 hepatocellular carcinoma (HCC) and 50 adjacent normal liver samples from The Cancer Genome Atlas (TCGA) and revealed that most editing events tend to occur in minor percentage of samples with moderate editing degrees (20-30%). Moreover, these RNA editing prefer to be A-to-I RNA editing in protein coding genes, especially in 3'UTR regions. Considering the association between DNA mutation and RNA editing, our analysis found that RNA editing maybe a complementary event for DNA mutation of HCC risk genes in HCC patients. We next identified 454 HCC-related editing sites, and many locate on the same genes with the same editing patterns. The functional consequences of editing revealed 2,086 functional editing sites and demonstrated that most editing in coding regions are non-synonymous variations. Furthermore, our results showed that editing in the 3'UTR regions tend to influence miRNA-target binding, and the editing degree seems to be negatively correlated with gene expression. Finally, we found that 46 HCC-related editing sites with consequence are able to distinguish the prognosis differences of HCC patients, suggesting their clinical relevance. Together, our results highlight RNA editing as a valuable molecular resource for investigating HCC mechanisms and clinical treatments.

Indexed as

bioinformaticshepatocellular carcinomapost-transcriptional regulationprognosisRNA editing

Identifiers

PMID32117713
PMCPMC7033493
OpenAlexW3006084726

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.