A-to-I RNA Editing in Cancer: From Evaluating the Editing Level to Exploring the Editing Effects

Heming Wang1,2,3, Sinuo Chen2,3, Jiayi Wei2,3

  • 1Clinical Medical College, Changchun University of Chinese Medicine, Changchun, China.

Frontiers in Oncology
|March 1, 2021
PubMed

Insights

Adenosine deaminase acting on RNA (ADAR)-induced A-to-I RNA editing is a key posttranscriptional regulator. This review explores bioinformatics strategies for identifying RNA editing in human cancers, impacting ncRNAs and cellular functions.

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Adenosine deaminase acting on RNA (ADAR)-induced A-to-I RNA editing is a crucial posttranscriptional regulatory mechanism in metazoans.
  • RNA editing influences gene expression by altering protein sequences, RNA structures, and microRNA interactions, affecting cellular processes.
  • While bioinformatics tools exist, standardized methods for RNA editing site identification are lacking, especially in cancer due to high DNA mutation rates.

Purpose of the Study:

  • To review and understand bioinformatics strategies for identifying A-to-I RNA editing in human cancers.
  • To discuss recent advancements in the field of RNA editing within the context of cancer biology.
  • To highlight the challenges in identifying and predicting the functional impact of RNA editing sites, particularly in non-coding regions and ncRNAs.

Main Methods:

  • Literature review of bioinformatics software and pipelines for RNA editing site identification.
  • Analysis of existing research on the role of RNA editing in cancer.
  • Discussion of challenges related to RNA sequencing protocols and high DNA mutation rates in tumor samples.

Main Results:

  • A-to-I RNA editing can lead to non-synonymous mutations, altered RNA structures, and modified microRNA targeting.
  • Numerous RNA editing sites are found in non-coding regions, affecting the biosynthesis and function of non-coding RNAs (ncRNAs) like miRNAs and circular RNAs.
  • The functional prediction of RNA editing sites in non-coding regions and ncRNAs remains a significant challenge.

Conclusions:

  • Bioinformatics strategies are essential for identifying A-to-I RNA editing in human cancers.
  • RNA editing plays complex roles in cancer, exhibiting both oncogenic and tumor-suppressive effects.
  • Further research is needed to standardize identification methods and elucidate the functional consequences of RNA editing in cancer.

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