%0 Journal Article
%T A Naturally Occurring Feline Model of Head and Neck Squamous Cell Carcinoma
%A Jackie M. Wypij
%J Pathology Research International
%D 2013
%I Hindawi Publishing Corporation
%R 10.1155/2013/502197
%X Despite advances in understanding cancer at the molecular level, timely and effective translation to clinical application of novel therapeutics in human cancer patients is lacking. Cancer drug failure is often a result of toxicity or inefficacy not predicted by preclinical models, emphasizing the need for alternative animal tumor models with improved biologic relevancy. Companion animals (dogs and cats) provide an opportunity to capitalize on an underutilized and biologically relevant translational research model which allows spontaneous disease modeling of human cancer. Head and neck squamous cell carcinoma (HNSCC) is a common cancer with a poor prognosis and limited clinical advancements in recent years. One potential novel spontaneous animal tumor model is feline oral squamous cell carcinoma (FOSCC). FOSCC and HNSCC share similar etiopathogenesis (tobacco and papillomavirus exposure) and molecular markers (EGFR, VEGF, and p53). Both human and feline SCCs share similar tumor biology, clinical outcome, treatment, and prognosis. Future clinical trials utilizing FOSCC as a tumor model may facilitate translation of preclinical cancer research for human cancer patients. 1. Introduction Advances in our understanding of cancer at the molecular level have outpaced clinical application of this information to human patients. It can take more than a decade and $800 million dollars to develop a new drug or diagnostic agent, yet less than 10% of promising drugs achieve FDA-approval [1, 2]. This discouraging drug failure rate is in part due to limited predictive value for drug toxicity and efficacy of accepted preclinical models [2]. The value of pre-clinical models to subsequently predict drug success is inherently based on the relevancy of animal models. Murine models provide crucial opportunities to investigate specific molecular and genetic pathways. These models often incorporate chemically induced cancer or xenografted human cancer cell lines in immunosuppressed animals. Thus, despite their importance these conventional murine models fail to adequately characterize the biologic variations inherent in spontaneously arising human cancer such as long latency period, genomic instability, tumor heterogeneity, and the complexity of the tumor microenvironment. While no single model can provide solutions to all drug-development questions, integration of information from multiple modeling systems can improve the successful translation of a novel drug into human patients. One approach is capitalization on biologically relevant companion animal translational research
%U http://www.hindawi.com/journals/pri/2013/502197/