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A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer.

A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer. Research Abstract Details 

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  • A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer. Abstract Text:

    jian yuJian Yu,tongyu zhuTongyu Zhu,zhirou wangZhirou Wang,hongyu zhangHongyu Zhang,ziliang qianZiliang Qian,huili xuHuili Xu,baomei gaoBaomei Gao,wei wangWei Wang,lianping guLianping Gu,jun mengJun Meng,jina wangJina Wang,xu fengXu Feng,yixue liYixue Li,xuebiao yaoXuebiao Yao,jingde zhuJingde Zhu,jian yuJian Yu,tongyu zhuTongyu Zhu,zhirou wangZhirou Wang,hongyu zhangHongyu Zhang,ziliang qianZiliang Qian,huili xuHuili Xu,baomei gaoBaomei Gao,wei wangWei Wang,lianping guLianping Gu,jun mengJun Meng,jina wangJina Wang,xu fengXu Feng,yixue liYixue Li,xuebiao yaoXuebiao Yao,jingde zhuJingde Zhu,

    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.

    A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer. Publishing Authors By Initials

    j yuJ Yu,t zhuT Zhu,z wangZ Wang,h zhangH Zhang,z qianZ Qian,h xuH Xu,b gaoB Gao,w wangW Wang,l guL Gu,j mengJ Meng,j wangJ Wang,x fengX Feng,y liY Li,x yaoX Yao,j zhuJ Zhu,j yuJ Yu,t zhuT Zhu,z wangZ Wang,h zhangH Zhang,z qianZ Qian,h xuH Xu,b gaoB Gao,w wangW Wang,l guL Gu,j mengJ Meng,j wangJ Wang,x fengX Feng,y liY Li,x yaoX Yao,j zhuJ Zhu,

    For similar abstracts research abstracts see: abstracts research

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    A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Clinical cancer research : an official journal of

    VOLUME: 13

    Page Numbers: 7296-304

    Journal Abbreviation: Clin. Cancer Res.

    ISSN: 1078-0432

    DAY: 15

    MONTH: Dec

    YEAR: 2007

    A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer. Information

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    LANGUAGE: eng

    NlmUniqueID: 9502500

    A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer. Keywords Mesh Terms:

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    Grant and Affiliation Information for A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer.

    AFFILIATION: Authors' Affiliations: Cancer Genetics and Gene Therapy Program, The State Key Laboratory for Oncogenes and Related Genes, Shanghai Cancer Institute and Epigenomics Program, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Clin Cancer Res

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