Oral potentially preneoplastic diseases are common with worldwide prevalence of approximately 4%, and millions of cases in the United States alone. A large subset of these harbor the histopathological features of oral dysplasia, the lesions most likely to progress to oral squamous cell carcinoma. Despite years of research on these lesions, the approach to management of these lesions is quite variable. In particular, because we lack a clear molecular classification of these lesions, we do not have good, clinically applicable biomarkers that predict which lesions are likely to progress to cancer (and therefore require treatment) and which are likely to not progress (and therefore can be observed). Further, we lack a full understanding of the identity of the mutations responsible for reprogramming cells from normal oral keratinocytes into dysplastic oral keratinocytes, and subsequently to carcinoma cells. We also do not understand how these mutations interact in order to give rise to dysplasia, or how this knowledge could be harnessed to generate novel therapeutic approaches to oral dysplasia. The work proposed within this grant aims to address these questions. First, we will perform next generation sequencing on a large panel of oral dysplasias in order to define the mutational landscape of oral dysplasias in general. Next, we propose performing next generation sequencing on biopsies from a group of patients followed longitudinally over the arc of years whose oral dysplasias ultimately progressed to cancer. We next take advantage of novel gene editing systems in primary human oral keratinocytes combined with optimized organotypic model systems to generate ?designer? oral dysplastic lesions and validate the causative mutational events in these lesions. Finally, we leverage our optimized organotypic model systems to predict a precision medicine approach using FDA-approved medications. Once complete, this work will serve as the foundational data resource for the oral dysplasia research community, and will introduce novel, flexible, and powerful model systems to address key questions in oral preneoplastic progression.
Abnormal white patches of tissue in the mouth, or leukoplakias, are common and may become cancerous over time. This project aims to understand what events make these patches arise, and if we can predict which ones might go on to become cancer. This will permit us better select which people need treatment, as well as possible treatment strategies for these white patches.
