The epitranscriptome meets non-coding RNA: m6A-mediated regulation in oncogenesis and therapy

Prasanna Srinivasan Ramalingam1, Mokhtar Rejili2, Faouzi Haouala2

  • 1Protein Engineering Lab, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Insights

N6-methyladenosine (m6A) modifications are key regulators of RNA metabolism in cancer. Their interplay with non-coding RNAs (ncRNAs) influences tumor progression and drug resistance, offering new therapeutic targets.

Area of Science:

  • Epitranscriptomics
  • Cancer Biology
  • RNA Metabolism

Background:

  • N6-methyladenosine (m6A) modifications are crucial epigenetic regulators of RNA processing.
  • m6A influences gene expression, impacting oncogenesis, metastasis, and therapeutic resistance.
  • The interaction between m6A and non-coding RNAs (ncRNAs) is increasingly recognized in cancer.

Purpose of the Study:

  • To review the multifaceted roles of m6A modifications in cancer biology.
  • To elucidate the intricate crosstalk between m6A and ncRNAs (miRNAs, lncRNAs, circRNAs).
  • To explore the therapeutic potential of targeting ncRNA-m6A interactions in precision oncology.

Main Methods:

  • Literature review synthesizing current research on m6A modifications and ncRNAs in cancer.
  • Analysis of m6A's impact on RNA stability, translation, and transcript outcomes.
  • Examination of reciprocal regulatory mechanisms between m6A machinery and ncRNAs.

Main Results:

  • m6A modifications regulate oncogene and tumor suppressor transcripts, promoting cancer hallmarks.
  • m6A influences ncRNA biogenesis, stability, and function, creating feedback loops.
  • ncRNA-m6A crosstalk impacts the tumor microenvironment, immune response, and drug resistance.

Conclusions:

  • The interplay between m6A and ncRNAs is a critical driver of cancer progression and therapeutic resistance.
  • Targeting these interactions presents promising avenues for novel cancer therapies.
  • Further research is needed to translate these findings into clinical applications for precision oncology.

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