"Micronuclei and Disease" special issue: Aims, scope, and synthesis of outcomes

Michael Fenech1, Siegfried Knasmueller2, Lisbeth E Knudsen3

  • 1Health and Biomedical Innovation, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, 5000, Australia; Genome Health Foundation, North Brighton, SA, 5048, Australia; Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.

Insights

Micronuclei (MN), a biomarker for chromosomal damage, are linked to various diseases. This special issue reviews evidence, mechanisms, and clinical applications for MN assays in disease risk assessment and patient stratification.

Area of Science:

  • Genomic Biomarkers
  • Disease Risk Assessment
  • Clinical Translation

Background:

  • Micronuclei (MN) are indicators of chromosomal aberrations.
  • Evidence linking MN to human disease risk requires comprehensive evaluation.
  • Translating MN assays into clinical practice necessitates defining mechanisms and research gaps.

Purpose of the Study:

  • To assess the evidential support for MN association with specific human diseases.
  • To elucidate mechanistic pathways connecting MN to disease pathogenesis.
  • To identify research priorities for implementing MN assays in clinical settings.

Main Methods:

  • Systematic reviews and meta-analyses of 14 papers.
  • Analysis of case-control studies calculating mean ratios (MR) of MN frequency.
  • Review of mechanisms, disease associations, and clinical translation strategies for MN.

Main Results:

  • Meta-analyses showed mean ratios (MR) for lymphocyte and buccal cell MN in non-cancer diseases (2.3 and 3.6) and cancers (1.7 and 2.6).
  • Highest MR values (4.9-10.8) were found in cancer studies measuring MN in tumor tissue.
  • The special issue provides a milestone in evidence supporting MN as a genomic biomarker for disease risk.

Conclusions:

  • MN assays show promise for identifying high-risk patients for preventive therapies.
  • Further research, including prospective cohort studies, is crucial for clinical application.
  • This special issue advances the understanding and utility of MN in disease risk prediction.

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