Application of proteomics in the study of rodent models of cancer.
作者： Mikkel G Terp , Henrik J Ditzel , None
关键词: Biomarker (medicine) 、 Tumor initiation 、 Cancer 、 Biomarker discovery 、 Metastasis 、 Disease 、 Genetically Engineered Mouse 、 Bioinformatics 、 Biology 、 Proteomics
摘要: The molecular and cellular mechanisms underlying the multistage processes of cancer progression metastasis are complex strictly depend on interplay between tumor cells surrounding tissues. Identification protein aberrations in pathophysiology requires a physiologically relevant experimental model. mouse offers such model to identify changes associated with initiation progression, development, tumor/microenvironment interplay, treatment responses. Furthermore, ability collect samples at any stage development from highly matched disease cases controls identical environmental genetic backgrounds, thus providing an excellent method for biomarker discovery. Xenograft genetically engineered models have been widely used proteomic patterns tissues plasma different stages human cancer, including early detection metastasis. Here, we review strategies proteins involved key within animal as well biomarkers diagnosis, prognosis, monitoring response. Central studies is ensure that identified clinical relevance by examining specimens larger cohorts patients.
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