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

            Sathasivam HP, Nayar D, Sloan P, Thomson P, Odell E, Robinson M

            Introduction: Oral potentially malignant disorders are a clinical conundrum as there are
            no reliable methods to predict their behaviour. Objective: 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 reviewed for a minimum of 5 years who
            did not develop oral squamous cell carcinoma were classified as “non-transforming”
            cases. Patients that 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 these 70 cases, 31 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

            Dr Hans P Sathasivam                       Prof. Dr Philip Sloan
            Institute for Medical Research             Newcastle University Biosciences Institute
            National Institutes of Health              Newcastle University Centre for Cancer
            Ministry of Health                         Newcastle upon Tyne, UK
            Malaysia
                                                       Dr Max Robinson
            Prof. Dr Peter Thomson                     Department of Cellular Pathology
            Oral and Maxillofacial Surgery             Newcastle University, UK.
            Faculty of Dentistry
            The University of Hong Kong                Prof. Dr Edward Odell
            Hong Kong, Hong Kong SAR                   King’s College London
                                                       Guy’s Hospital, London, UK
            Deepa Nayar
            King’s College London
            Guy’s Hospital
            London, UK












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