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Clinical Cancer Research 13, 7296, December 15, 2007. doi: 10.1158/1078-0432.CCR-07-0861
© 2007 American Association for Cancer Research

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Human Cancer Biology

A Novel Set of DNA Methylation Markers in Urine Sediments for Sensitive/Specific Detection of Bladder Cancer

Jian Yu1,2, Tongyu Zhu3, Zhirou Wang5, Hongyu Zhang1,2, Ziliang Qian4, Huili Xu1,2, Baomei Gao1,2, Wei Wang1,2, Lianping Gu3, Jun Meng3, Jina Wang3, Xu Feng5, Yixue Li4, Xuebiao Yao6,7 and Jingde Zhu1,2,8

Authors' Affiliations: 1 Cancer Genetics and Gene Therapy Program, The State Key Laboratory for Oncogenes and Related Genes, Shanghai Cancer Institute and 2 Epigenomics Program, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University; 3 Department of Urology, Zhongshan Hospital Affiliated to Fudan University; 4 Bioinformation Center of Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; 5 Guangxi Cancer Hospital, Nanning, Guangxi, China; 6 Division of Cellular Dynamics, Hefei National Laboratory and University of Science and Technology of China, Hefei, China; 7 Department of Physiology and Cancer Biology Program, Morehouse School of Medicine, Atlanta, Georgia; and 8 School of Life Sciences, Zhejiang Science and Technology University, Hangzhou, Zhejiang, China

Requests for reprints: Jingde Zhu, Shanghai Cancer Institute, Shanghai, China. Phone/Fax: 86-21-64224285; E-mail: zhujingde{at}yahoo.com; Xuebiao Yao, University of Science & Technology, Hefel, China. Phone/Fax: 86-551-3606304; E-mail: yaoxb{at}ustc.edu.com.

Purpose: This study aims to provide a better set of DNA methylation markers in urine sediments for sensitive and specific detection of bladder cancer.

Experimental Design: Fifty-nine tumor-associated genes were profiled in three bladder cancer cell lines, a small cohort of cancer biopsies and urine sediments by methylation-specific PCR. Twenty-one candidate genes were then profiled in urine sediments from 132 bladder cancer patients (8 cases for stage 0a; 68 cases for stage I; 50 cases for stage II; 4 cases for stages III; and 2 cases for stage IV), 23 age-matched patients with noncancerous urinary lesions, 6 neurologic diseases, and 7 healthy volunteers.

Results: Despite six incidences of four genes reported in 3 of 23 noncancerous urinary lesion patients analyzed, cancer-specific hypermethylation in urine sediments were reported for 15 genes (P < 0.05). Methylation assessment of an 11-gene set (SALL3, CFTR, ABCC6, HPR1, RASSF1A, MT1A, RUNX3, ITGA4, BCL2, ALX4, MYOD1, DRM, CDH13, BMP3B, CCNA1, RPRM, MINT1, and BRCA1) confirmed the existing diagnosis of 121 among 132 bladder cancer cases (sensitivity, 91.7%) with 87% accuracy. Significantly, more than 75% of stage 0a and 88% of stage I disease were detected, indicating its value in the early diagnosis of bladder cancer. Interestingly, the cluster of reported methylation markers used in the U.S. bladder cancers is distinctly different from that identified in this study, suggesting a possible epigenetic disparity between the American and Chinese cases.

Conclusions: Methylation profiling of an 11-gene set in urine sediments provides a sensitive and specific detection of bladder cancer.




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Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
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Copyright © 2007 by the American Association for Cancer Research.