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Updated: Jan 27, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
CREDO: Highly confident disease-relevant A-to-I RNA-editing discovery in breast cancer
Woochang Hwang1,2, Stefano Calza3,4, Marco Silvestri4,5
1Data Science for Knowledge Creation Research Center, Seoul National University, Seoul, South Korea.
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.
Insights
Adenosine-to-Inosine (A-to-I) RNA editing is common, but detecting it reliably is challenging. The CREDO pipeline effectively identifies clinically relevant A-to-I RNA editing events using matched DNA and RNA sequencing data, reducing false positives.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Adenosine-to-Inosine (A-to-I) RNA editing is the most prevalent RNA modification.
- Previous RNA editing detection methods using next-generation sequencing (NGS) data often yield high false positive rates.
- Clinical relevance of detected RNA editing events, particularly in disease progression, has been largely overlooked.
Purpose of the Study:
- To develop an effective RNA-editing discovery pipeline (CREDO) to identify reliable and clinically relevant A-to-I RNA editing events.
- To reduce false positives in RNA editing detection by integrating DNA and RNA sequencing data.
- To assess the clinical significance of RNA editing in cancer progression.
Main Methods:
- Development of the CREDO pipeline incorporating novel statistical filtering modules.
- Integration of DNA- and RNA-sequencing data from matched tumor-normal tissues.
- Comparative analysis of CREDO against three existing RNA-editing discovery pipelines.
- Application of CREDO to breast cancer data from The Cancer Genome Atlas (TCGA).
Main Results:
- CREDO demonstrated significantly fewer false positives compared to other pipelines.
- CREDO identified highly confident RNA editing events in breast cancer.
- Discovered RNA editing events with significant clinical relevance to cancer progression, impacting patient survival.
Conclusions:
- CREDO is an effective and reliable tool for discovering A-to-I RNA editing.
- Integrating DNA- and RNA-seq data from matched tissues is crucial for accurate RNA editing detection.
- Routine RNA editing detection should be considered with the increasing availability of multi-omics data.
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