Automated Quantitative Analysis of HDM2 Expression in Malignant Melanoma Shows Association with Early-Stage Disease and Improved Outcome

摘要: The incidence of cutaneous malignant melanoma continues to increase every year, and this disease remains the leading cause skin cancer death in industrialized countries. Despite aggressive nature advanced melanoma, there are no standard biological assays clinical usage that can predict metastasis. This may be due, part, inadequacy reproducible assessment protein expression using traditional immunohistochemistry. We have previously described a novel method quantitative (AQUA) with continuity accuracy an ELISA assay but maintenance critical spatial information. Here, we modify technology for evaluation melanoma. Using tissue microarray cohort 405 lesions 17 normal samples, analyzed HDM2, human homologue murine double minute 2 automated analysis. show levels nucleus significantly higher primary melanomas than metastatic lesions. Furthermore, high predictive better outcome. study demonstrates is useful validate potential biomarkers suggests valuable prognostic tool management