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From Nanogenomics and Structural-Functional Proteomics to Personalized Medicine for Oral Lichen Planus (OLP) as a Translational Model of Oral Cancer Usefull to Introduce an Industrial Technical Innovation
C. Nicolini, E. Peshkova, N. Bragazzi
Fondazione ELBA Nicolini, US
Keywords: nanogenomics, QCMD, nanoconductimetry, SNAP microarrays, mass spectrometry
Summary:
Oral Lichen Planus (OLP) is a common chronic inflammatory disease, which involves the mucous membranes of the oral cavity, with an overall age-standardized prevalence of 1.27% (0.96% in men and 1.57% in women) as reported in the literature by McCartan and Healy. In our previous work, we exploited a bioinformatics approach, namely the leader gene algorithm (LGA)enabling to underpin the main hub genes involved in biological processes. In the case of OLP, we found a complex network made up of 132 genes and, in particular, we found five leader genes (namely, JUN, EGFR, FOS, IL2, and ITGB4). We managed to find the 48.39% of the already established OLP-related miRNAs, suggesting that at least half of the OLP-related microRNAome finely tunes few, highly interconnected hub genes. Now we would use real clinical samples in order to validate our predicted biomarkers, using molecular biology techniques, mass-spectrometry (MS) and in house instruments, such as QCM_D (Quartz crystal-microbalance with dissipation factor monitoring). A unique combination of genomics and proteomics approaches can indeed represent a promising innovation for a personalized treatment of OLP and oral cancer.
