Affiliations 

  • 1 Centre for Immunology and Regenerative Medicine, Institute of Dentistry, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 4NS, UK. Electronic address: stephensprime@gmail.com
  • 2 Melbourne Dental School, University of Melbourne, 720 Swanson Street, Carlton, Melbourne, Victoria, 3053, Australia. Electronic address: nicola.cirillo@unimelb.edu.au
  • 3 Head and Neck Cancer Research Team, Cancer Research Malaysia, 1 Jalan SS12/1A, Subang Jaya, Selangor, Malaysia. Electronic address: sokching.cheong@carif.com.my
  • 4 Roche Diagnostics Information Solutions, Hoffman-La Roche Ltd., Grenzacherstrasse 124, 4070, Basel, Switzerland. Electronic address: msp1079@yahoo.co.uk
  • 5 Centre for Immunology and Regenerative Medicine, Institute of Dentistry, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 4NS, UK. Electronic address: e.k.parkinson@qmul.ac.uk
Cancer Lett, 2021 10 10;518:102-114.
PMID: 34139286 DOI: 10.1016/j.canlet.2021.05.025

Abstract

This study reviews the molecular landscape of oral potentially malignant disorders (OPMD). We examine the impact of tumour heterogeneity, the spectrum of driver mutations (TP53, CDKN2A, TERT, NOTCH1, AJUBA, PIK3CA, CASP8) and gene transcription on tumour progression. We comment on how some of these mutations impact cellular senescence, field cancerization and cancer stem cells. We propose that OPMD can be monitored more closely and more dynamically through the use of liquid biopsies using an appropriate biomarker of transformation. We describe new gene interactions through the use of a systems biology approach and we highlight some of the first studies to identify functional genes using CRISPR-Cas9 technology. We believe that this information has translational implications for the use of re-purposed existing drugs and/or new drug development. Further, we argue that the use of digital technology encompassing clinical and laboratory-based data will create relevant datasets for machine learning/artificial intelligence. We believe that therapeutic intervention at an early molecular premalignant stage should be an important preventative strategy to inhibit the development of oral squamous cell carcinoma and that this approach is applicable to other aerodigestive tract cancers.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.