Evidence map›Paper›PMID 30911020›Full record

ArticleScientific reports2019

CREDO: Highly confident disease-relevant A-to-I RNA-editing discovery in breast cancer.

Woochang Hwang, Stefano Calza, Marco Silvestri, Yudi Pawitan, Youngjo Lee

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. ncRNA Editing: Functional Characterization and Computational Resources.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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.

Woochang HwangData Science for Knowledge Creation Research Center, Seoul National University, Seoul, South Korea.
Stefano CalzaDepartment of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4996-7995
Marco SilvestriDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.ORCID http://orcid.org/0000-0001-8283-9130
Yudi PawitanDepartment of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, Sweden. yudi.pawitan@ki.se.
Youngjo LeeData Science for Knowledge Creation Research Center, Seoul National University, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenosine-to-Inosine (A-to-I) RNA editing is the most prevalent post-transcriptional modification of RNA molecules. Researchers have attempted to find reliable RNA editing using next generation sequencing (NGS) data. However, most of these attempts suffered from a high rate of false positives, and they did not consider the clinical relevance of the identified RNA editing, for example, in disease progression. We devised an effective RNA-editing discovery pipeline called CREDO, which includes novel statistical filtering modules based on integration of DNA- and RNA-seq data from matched tumor-normal tissues. CREDO was compared with three other RNA-editing discovery pipelines and found to give significantly fewer false positives. Application of CREDO to breast cancer data from the Cancer Genome Atlas (TCGA) project discovered highly confident RNA editing with clinical relevance to cancer progression in terms of patient survival. RNA-editing detection using DNA- and RNA-seq data from matched tumor-normal tissues should be more routinely performed as multiple omics data are becoming commonly available from each patient sample. We believe CREDO is an effective and reliable tool for this problem.

Indexed as

AdenosineInosineRNA EditingBreast NeoplasmsComputational BiologyDatabases, GeneticExome SequencingFemaleHumansKaplan-Meier EstimateWeb BrowserAdenosineInosine

Identifiers

PMID30911020
PMCPMC6433923

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.