Author Spotlight: Unlocking the Mysteries of Oral Potential Malignancies

Our main research interests are the mechanisms of malignant transformation under the development of predictive models of oral, potentially malignant disorders such as oral leukoplakia and oral submucous fibrosis. Genomic transcriptomic, proteomic, and other multi-omic sequencing analysis under deep learning artificial intelligence models are used to study the progression from oral, potentially malignant disorders to oral cancer. Current sequencing and multi-omics analysis are mostly based on frozen samples, but oral, potentially malignant disorders are mostly formally fixed paraffin embedded tissue, often by biopsy, and they the need to develop experimental techniques based on paraffin samples.

Paraffin tissue samples from oral, potentially malignant disorders, and the squamous cell carcinoma are available in large numbers and from a variety of sources, making them a very valuable resource for study. All protocol can help fully use these resources to better understand the mechanisms of disease development and malignant transformation.