Abstract 4051: A mouse model of head and neck cancer with infrared-based molecular imaging

Abstract

Abstract Introduction Head and neck cancer (HNC) is notoriously difficult to treat and the five-year survival rate has improved very little over the past thirty years. Head and neck squamous cell carcinomas (HNSCC) mouse models are invaluable tools for furthering mechanistic HNC research. Molecular imaging (MI) is a promising new modality that may improve current HNC mouse models. Visible florescent proteins (VFPs) have been widely used with animal models for tumor detection using MI. However, the low emission wavelength of VFP results in its overlapping with the auto-fluorescence of many tissues and causes insufficient penetration into deeper tissues, preventing the application of VFP to track local and metastatic tumor progressions. The recent development of infrared-fluorescent protein (IFP) with Biliverdin as a chromophore has greatly advanced in vivo molecular imaging of deep tissues in animals. Hypothesis The ultimate goal of this study is to develop a novel orthotopic mouse model of HNC with regional spreading and distant metastasis tumors that closely mimics human HNC and can be accurately detected by a noninvasive IFP-based molecular imaging (MI) system. Methods A stable human HNC cell line expressing IFP was established. This stable cell line was used for generating a mouse model with HNC. The tumor formation and tumor progression with this model were accurately monitored by a MI system. Results The IFP signal was clearly detected in our mouse model of HNC. Scanned imaging demonstrated a progression pattern of tumor growth in this model. The tumor can be detected earlier with molecular imaging than by conventional external caliper measurement. Unlike surgical measurement, the tumor can be quantified without disturbing the tumor environment. More important, our data suggest that local-regional metastasis tumors can be detected with this model. Conclusion This novel animal model represents an orthotopic human HNC model. The IFP signals penetrate tissues well and can be detected in the deep tissues with this model. Thus, our model has the potential to be used for monitoring tumor spreading and metastasis of advanced stage HNC. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4051. doi:1538-7445.AM2012-4051