IntroductionOver the decades, biological modeling has been used to study disease progression in numerous types of carcinomas. To date, no one model can completely predict cancer progression. Consequently, there are a plethora of different types of models for numerous carcinomas. Additionally, cancer modeling lacks an in vivo system that refl ects disease changes in a "real-time" approach.Saliva is a complex and dynamic biological fl uid, which over the years has been recognized for the numerous functions it performs in the oral cavity. However, modern technology has unveiled
AbstractTo date, because of the complexity and heterogeneity of cancer, no individual model recapitulates all aspects of this disease. The authors of this chapter developed a molecular model that utilizes one of the most easily obtained body fl uids for tumor marker analysis. The in vivo model can fi ll in the current gaps in our understanding of cancer pathogenesis, signaling pathways, the effi cacy of varying chemotherapeutics, identifying novel therapies, and, most importantly, shed new light on metastatic progression that is the principal cause of mortality. We propose that, secondary to cancer, the malignancy's rapid growth alters the proteomic content of the tissue microenvironment. These changes may manifest in up-or downregulation of salivary protein concentrations, which can be used as a sentinel for cancer modeling.