4.7 Article

Expression Signature of E2F1 and Its Associated Genes Predict Superficial to Invasive Progression of Bladder Tumors

期刊

JOURNAL OF CLINICAL ONCOLOGY
卷 28, 期 16, 页码 2660-2667

出版社

AMER SOC CLINICAL ONCOLOGY
DOI: 10.1200/JCO.2009.25.0977

关键词

-

类别

资金

  1. Korean Ministry of Education, Science and Technology (MEST) [2009-0063260, 20090083310, FG06-11-06, FG-4-2]
  2. Korea Research Institute of Bioscience and Biotechnology
  3. University of Texas M.D. Anderson Cancer Center

向作者/读者索取更多资源

Purpose In approximately 20% of patients with superficial bladder tumors, the tumors progress to invasive tumors after treatment. Current methods of predicting the clinical behavior of these tumors prospectively are unreliable. We aim to identify a molecular signature that can reliably identify patients with high-risk superficial tumors that are likely to progress to invasive tumors. Patients and Methods Gene expression data were collected from tumor specimens from 165 patients with bladder cancer. Various statistical methods, including leave-one-out cross-validation methods, were applied to identify a gene expression signature that could predict the likelihood of progression to invasive tumors and to test the robustness of the expression signature in an independent cohort. The robustness of the gene expression signature was validated in an independent (n = 353) cohort. Results Supervised analysis of gene expression data revealed a gene expression signature that is strongly associated with invasive bladder tumors. A molecular classifier based on this gene expression signature correctly predicted the likelihood of progression of superficial tumor to invasive tumor. Conclusion We present a molecular signature that can predict, at diagnosis, the likelihood of bladder cancer progression and, possibly, lead to improvements in patient therapy. J Clin Oncol 28:2660-2667. (C) 2010 by American Society of Clinical Oncology

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

4.7
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