Development of a detection system for metastatic oral cancer by combining integrated proteomics with cancer histology analysis

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This study aimed to establish a detection system for micro-metastasis and metastatic stages using examination of biopsy. We created an in vivo animal model of heterogeneous human cancer consisting of non-metastatic (NM) and metastatic (M) tongue cancer cells and analyzed the pattern of metastasis and growth of both cancer cell lines. In addition, using integrated differential proteomics and transcriptomics, we identified significant activation of hypoxia-inducible-related signals in M cancer cells versus NM cancer cells. The analysis of the expression pattern of these molecules in an in vivo animal model suggested that we may be able to determine the metastatic stages of cancer by comprehensive examination ofchanges in the pattern of their expression (localization, expression volume).