Modeling prostate cancer: a perspective on transgenic mouse models

V Jeet, PJ Russell, A Khatri - Cancer and Metastasis Reviews, 2010 - Springer
V Jeet, PJ Russell, A Khatri
Cancer and Metastasis Reviews, 2010Springer
Despite considerable success in treatment of early stage localized prostate cancer (PC),
acute inadequacy of late stage PC treatment and its inherent heterogeneity poses a
formidable challenge. Clearly, an improved understanding of PC genesis and progression
along with the development of new targeted therapies are warranted. Animal models,
especially, transgenic immunocompetent mouse models, have proven to be the best ally in
this respect. A series of models have been developed by modulation of expression of genes …
Abstract
Despite considerable success in treatment of early stage localized prostate cancer (PC), acute inadequacy of late stage PC treatment and its inherent heterogeneity poses a formidable challenge. Clearly, an improved understanding of PC genesis and progression along with the development of new targeted therapies are warranted. Animal models, especially, transgenic immunocompetent mouse models, have proven to be the best ally in this respect. A series of models have been developed by modulation of expression of genes implicated in cancer-genesis and progression; mainly, modulation of expression of oncogenes, steroid hormone receptors, growth factors and their receptors, cell cycle and apoptosis regulators, and tumor suppressor genes have been used. Such models have contributed significantly to our understanding of the molecular and pathological aspects of PC initiation and progression. In particular, the transgenic mouse models based on multiple genetic alterations can more accurately address the inherent complexity of PC, not only in revealing the mechanisms of tumorigenesis and progression but also for clinically relevant evaluation of new therapies. Further, with advances in conditional knockout technologies, otherwise embryonically lethal gene changes can be incorporated leading to the development of new generation transgenics, thus adding significantly to our existing knowledge base. Different models and their relevance to PC research are discussed.
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