Mutual regulation between N6-methyladenosine (m6A) modification and circular RNAs in cancer: impacts on therapeutic

Hong Lin1, Yuxi Wang2, Pinghan Wang3

  • 1Department of Pharmacy, Sichuan Cancer Hospital & Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Molecular Cancer
|July 17, 2022
PubMed

Insights

Tumor cells resist cancer therapy, but understanding N6-methyladenosine (m6A) modifications and circular RNAs (circRNAs) offers new strategies. Their interplay impacts treatment sensitivity and overcoming cancer resistance.

Area of Science:

  • Oncology
  • Molecular Biology
  • Epigenetics

Background:

  • Therapeutic resistance in cancer leads to recurrence and metastasis.
  • N6-methyladenosine (m6A) is a key RNA modification influencing gene expression and cancer progression.
  • Circular RNAs (circRNAs) are emerging as critical regulators in anticancer therapy.

Purpose of the Study:

  • To review recent advances in m6A modification and circRNAs in cancer therapeutic resistance.
  • To explore the interplay between m6A and circRNAs in modulating treatment sensitivity.
  • To provide insights into potential mechanisms and future directions for overcoming cancer resistance.

Main Methods:

  • Literature review of recent studies on m6A, circRNAs, and cancer therapy.
  • Analysis of the regulatory roles and interactions of m6A and circRNAs.
  • Synthesis of findings related to therapeutic resistance mechanisms.

Main Results:

  • m6A modification and circRNAs are mutually regulated and impact cancer treatment sensitivity.
  • The interaction between m6A and circRNAs plays a significant role in modulating therapeutic resistance.
  • Understanding these interactions offers novel strategies for cancer treatment.

Conclusions:

  • m6A modification and circRNAs are crucial players in cancer therapeutic resistance.
  • Their interplay presents promising therapeutic targets for reversing resistance.
  • Further research into these mechanisms can guide the development of effective cancer therapies.

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