Transcribed Ultraconserved Regions in Cancer

Myron K Gibert1, Aditya Sarkar1, Bilhan Chagari1

  • 1Department of Microbiology, Immunology, and Cancer Biology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.

Cells
|May 28, 2022
PubMed

Insights

Transcribed ultraconserved regions (TUCRs) are unique lncRNAs found in conserved genomes. This review explores their understudied roles and clinical potential in cancer.

Area of Science:

  • Genomics and Molecular Biology
  • Cancer Research

Background:

  • Transcribed ultraconserved regions (TUCRs) are novel long non-coding RNA (lncRNA) molecules originating from highly conserved DNA sequences across human, mouse, and rat genomes.
  • Unlike most lncRNAs, TUCRs exhibit remarkable genomic conservation, suggesting critical biological functions.
  • TUCRs are significantly understudied in the context of various diseases, particularly cancer.

Purpose of the Study:

  • To comprehensively review the existing literature on TUCRs within the field of cancer research.
  • To elucidate the expression patterns, functional significance, mechanisms of action, and clinical relevance of TUCRs in oncogenesis.

Main Methods:

  • Literature review of studies investigating TUCRs in cancer.
  • Analysis of expression deregulation, functional roles, and mechanisms of action.
  • Examination of clinical perspectives and potential applications.

Main Results:

  • TUCRs show altered expression levels in various cancer types, indicating their involvement in cancer development.
  • Emerging evidence suggests TUCRs play diverse functional roles in cancer, impacting cellular processes.
  • Mechanisms of action for TUCRs in cancer are beginning to be uncovered, highlighting their regulatory potential.

Conclusions:

  • TUCRs represent a promising, yet under-explored, class of molecules in cancer biology.
  • Further research into TUCRs' expression, function, and mechanisms is crucial for understanding their role in cancer.
  • TUCRs hold potential for future clinical applications in cancer diagnosis, prognosis, and therapy.

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