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Review
. 2020 Jul 8;12(7):1845.
doi: 10.3390/cancers12071845.

Non-Coding RNA Editing in Cancer Pathogenesis

Giulia Romano  1 , Michela Saviana  1   2 , Patricia Le  1 , Howard Li  1 , Lavender Micalo  1 , Giovanni Nigita  3 , Mario Acunzo  1 , Patrick Nana-Sinkam  1
Affiliations
Review

Non-Coding RNA Editing in Cancer Pathogenesis

Giulia Romano et al. Cancers (Basel). .

Abstract

In the last two decades, RNA post-transcriptional modifications, including RNA editing, have been the subject of increasing interest among the scientific community. The efforts of the Human Genome Project combined with the development of new sequencing technologies and dedicated bioinformatic approaches created to detect and profile RNA transcripts have served to further our understanding of RNA editing. Investigators have determined that non-coding RNA (ncRNA) A-to-I editing is often deregulated in cancer. This discovery has led to an increased number of published studies in the field. However, the eventual clinical application for these findings remains a work in progress. In this review, we provide an overview of the ncRNA editing phenomenon in cancer. We discuss the bioinformatic strategies for RNA editing detection as well as the potential roles for ncRNA A to I editing in tumor immunity and as clinical biomarkers.

Keywords: cancer; editing; non-coding RNA.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Milestones in RNA Editing Discovery.
Figure 2
Figure 2
Methods for MicroRNA Editing Detection and Functional Characterization. (A) Two principal and most used pipeline (DREAM and miRGe 2.0) for miRNA editing detection. (B) Distribution of 177 putative and/or validated A-to-I RNA editing events in both mature and precursor miRNA molecules along with the three major RNA editing databases (DARNED, RADAR, and REDIPortal). (C) Illustration of isoTar, a web-based containerized tool designed consensus targeting prediction and functional enrichment analyses for miRNAs harboring editing sites and other.
Figure 3
Figure 3
ncRNAs A-to-I biological consequences.
Figure 4
Figure 4
Schematic representation of miRNA editing hotspots in cancer correlated with key variables including survival, stage, and subtype. (Wang et al 2017).
See this image and copyright information in PMC

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