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DYSPLASIA  AND DNA PLOIDY TO PROGNOSTICATE CLINICAL OUTCOME IN ORAL
            POTENTIALLY MALIGNANT DISORDERS

            Sathasivam HP, Nayar D, Sloan P, Thomson PJ, Odell EW, Robinson M

            Introduction: Oral potentially malignant disorders are a clinical conundrum as there are no
            reliable  methods to predict their behaviour.  We combine conventional oral  epithelial
            dysplasia grading with DNA ploidy analysis to examine the validity of this approach to risk
            assessment in a cohort of patients with known clinical outcomes. Materials and Methods:
            Sections from diagnostic biopsies were assessed for oral epithelial dysplasia using the WHO
            grading system, and  DNA ploidy analysis was performed using established  methods.
            Patients were reviewed for a minimum of 5 years and those who did not develop oral
            squamous cell carcinoma classified as “non-transforming” cases. Patients who developed
            oral squamous cell carcinoma ≥ 6 months after the initial diagnostic biopsy were classified
            as having “malignant transformation.” Results: Ninety cases were included in the study.
            Seventy cases yielded informative DNA ploidy results of which thirty one progressed to
            cancer.  Oral  epithelial dysplasia grading and  DNA ploidy status were both significantly
            associated with clinical outcome (P < 0.05). Severe dysplasia had a hazard ratio of 3.50 (CI:
            1.46, 8.45; P = 0.005) compared to cases with mild dysplasia. Aneuploidy had a hazard ratio
            of  2.09 (CI:  1.01, 4.32;  P  = 0.046) compared to  cases  with a diploid/tetraploid status.
            Receiver operating characteristic analysis gave an area under the curve of 0.617 for DNA
            ploidy status and 0.688 when DNA ploidy status was combined with dysplasia grading.
            Conclusion: Our findings suggest that combining dysplasia grading with DNA ploidy status
            has clinical utility which could be used to develop novel management algorithms.

            Published in J Oral Pathol Med. 2021;50:200–209. https://doi.org/10.1111/jop.13121. Epub 2020 November 05

            Dr Hans Prakash Sathasivam               Prof Dr Philip Sloan
            Cancer Research Centre                   Dr Max Robinson
            Institute for Medical Research           Department of Cellular Pathology
            National Institute of Health             Newcastle upon Tyne Hospitals NHS Foundation Trust
            Setia Alam Malaysia                      Newcastle upon Tyne UK

            Dr Deepa Nayar                           Dr Peter J. Thomson
            Dr Edward W. Odell                       Oral and Maxillofacial Surgery
            King’s College London                    Faculty of Dentistry
            Guy’s Hospital                           The University of Hong Kong, Hong Kong SAR
            London, UK                               Hong Kong















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