4.8 Article

A mouse model of heterogeneous, c-MYC-initiated prostate cancer with loss of Pten and p53

期刊

ONCOGENE
卷 31, 期 3, 页码 322-332

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/onc.2011.236

关键词

c-MYC; Pten; p53; prostate cancer; rate of mutations

资金

  1. National Cancer Institute of the National Institutes of Health [CA094858, CA123484]

向作者/读者索取更多资源

Human tumors are heterogeneous and evolve through a dynamic process of genetic mutation and selection. During this process, the effects of a specific mutation on the incipient cancer cell may dictate the nature of subsequent mutations that can be tolerated or selected for, affecting the rate at which subsequent mutations occur. Here we have used a new mouse model of prostate cancer that recapitulates several salient features of the human disease to examine the relative rates in which the remaining wildtype alleles of Pten and p53 tumor suppressor genes are lost. In this model, focal overexpression of c-MYC in a few prostate luminal epithelial cells provokes a mild proliferative response. In the context of compound Pten/p53 heterozygosity, c-MYC-initiated cells progress to prostatic intraepithelial neoplasia (mPIN) and adenocarcinoma lesions with marked heterogeneity within the same prostate glands. Using laser capture microdissection and gene copy number analyses, we found that the frequency of Pten loss was significantly higher than that of p53 loss in mPIN but not invasive carcinoma lesions. c-MYC overexpression, unlike Pten loss, did not activate the p53 pathway in transgenic mouse prostate cells, explaining the lack of selective pressure to lose p53 in the c-MYC-overexpressing cells. This model of heterogeneous prostate cancer based on alterations in genes relevant to the human disease may be useful for understanding pathogenesis of the disease and testing new therapeutic agents. Oncogene (2012) 31, 322-332; doi:10.1038/onc.2011.236; published online 20 June 2011

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据