Interplay between DNA Methyltransferase 1 and microRNAs During Tumorigenesis

Pooja Yadav1, Shreetama Bandyopadhayaya1, Bridget M Ford2

  • 1Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Kishangarh- 305817, Ajmer, Rajasthan, India.

Current Drug Targets
|January 26, 2021
PubMed

Insights

This review explores how microRNAs (miRNAs) regulate DNA methyltransferase 1 (DNMT1), a key player in cancer. Targeting this interaction offers a novel cancer therapy approach and potential diagnostic biomarkers.

Area of Science:

  • Oncology
  • Epigenetics
  • Molecular Biology

Background:

  • Cancer arises from genetic and epigenetic changes, with aberrant DNA methylation crucial for tumor suppressor gene silencing.
  • DNA methyltransferase 1 (DNMT1) overexpression promotes tumors, but current inhibitors have adverse effects.
  • MicroRNAs (miRNAs) are emerging as key regulators in cancer progression and therapy resistance.

Purpose of the Study:

  • To review the regulation of DNMT1 by miRNAs and vice versa.
  • To explore the reciprocal inhibition between DNMT1 and miRNAs in tumorigenesis.
  • To propose miRNA-based strategies for novel cancer therapies and diagnostics.

Main Methods:

  • Literature review focusing on DNMT1-miRNA interactions in cancer.
  • Analysis of epigenetic mechanisms, including DNA methylation and gene silencing.
  • Examination of reciprocal regulatory loops between DNMT1 and tumor-suppressive miRNAs.

Main Results:

  • DNMT1 is regulated by specific miRNAs, offering potential as DNMT1 modulators.
  • DNMT1 reciprocally regulates miRNAs involved in tumor suppression.
  • The interplay between DNMT1 and miRNAs significantly influences tumorigenic potential.

Conclusions:

  • miRNAs can modulate DNMT1 activity, presenting a novel therapeutic avenue.
  • Combining miRNA-based strategies with DNMT1 inhibitors may enhance cancer treatment efficacy.
  • Selected miRNAs hold promise as biomarkers for cancer diagnosis, prognosis, and methylation activity prediction.

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