REMR: Identification of RNA Editing-mediated MiRNA Regulation in Cancers

Area of Science:

• Epitranscriptomics
• Cancer Biology
• Bioinformatics

Background:

• Dysregulation of adenosine-to-inosine (A-to-I) RNA editing is linked to cancer progression.
• The interplay between A-to-I RNA editing and microRNA (miRNA) regulation in cancer gene expression is not fully understood.
• Effective methods for identifying these regulatory interactions are lacking.

Purpose of the Study:

• To systematically identify A-to-I RNA editing-mediated miRNA regulatory triplets in ten major cancer types.
• To investigate the functional roles and clinical relevance of these regulatory interactions.
• To provide a comprehensive resource for studying RNA editing in cancer.

Main Methods:

• Development of an information theory-based algorithm (REMR) for identifying RNA editing-mediated miRNA regulatory triplets.
• Analysis of multi-omics profiling data from The Cancer Genome Atlas (TCGA).
• Functional enrichment, transcriptional regulatory network, and protein-protein interaction (PPI) network analyses.

Main Results:

• Identification of 12,006 A-to-I RNA editing-mediated miRNA regulatory triplets across ten cancer types.
• Demonstration that these regulations impact key cancer-related functions including apoptosis, cell cycle, drug resistance, and immunity.
• Validation of triplets as potential biomarkers for cancer subtype classification and prediction of prognosis or drug response.

Conclusions:

• RNA editing-mediated miRNA regulation is a significant mechanism in cancer.
• These regulatory interactions play crucial roles in cancer progression and clinical outcomes.
• The developed resource (REMR) offers valuable insights into epitranscriptomic regulation in cancer.