Literature DB >> 20016998

Genome-wide association studies of bladder cancer risk: a field synopsis of progress and potential applications.

Xifeng Wu1, Michelle A T Hildebrandt, David W Chang.   

Abstract

The advent of the genome era after the completion of the Human Genome Project has resulted in intensive efforts to identify all genetic variants that modify human health and disease, including cancer. The development of genome-wide association study (GWAS) approach has facilitated this goal by unbiased examination of the entire human genome for disease association. Here, we review some of the GWAS data, particularly for bladder cancer, and assess their significance in risk prediction and prognosis. A mechanistic understanding of the risk association through functional studies and phenotypic assays is also discussed. The ultimate goal is the development of a comprehensive risk prediction model which integrates genetic, environment, and person risk factors to benefit disease diagnosis, prevention, and treatment.

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Year:  2009        PMID: 20016998     DOI: 10.1007/s10555-009-9190-y

Source DB:  PubMed          Journal:  Cancer Metastasis Rev        ISSN: 0167-7659            Impact factor:   9.264


  19 in total

1.  Genetic Variants in the Wnt/β-Catenin Signaling Pathway as Indicators of Bladder Cancer Risk.

Authors:  Jeanne A Pierzynski; Michelle A Hildebrandt; Ashish M Kamat; Jie Lin; Yuanqing Ye; Colin P N Dinney; Xifeng Wu
Journal:  J Urol       Date:  2015-07-11       Impact factor: 7.450

2.  In vivo disruption of an Rb-E2F-Ezh2 signaling loop causes bladder cancer.

Authors:  Mirentxu Santos; Mónica Martínez-Fernández; Marta Dueñas; Ramón García-Escudero; Begoña Alfaya; Felipe Villacampa; Cristina Saiz-Ladera; Clotilde Costa; Marta Oteo; José Duarte; Victor Martínez; Mª José Gómez-Rodriguez; Mª Luisa Martín; Manoli Fernández; Patrick Viatour; Miguel A Morcillo; Julien Sage; Daniel Castellano; Jose L Rodriguez-Peralto; Federico de la Rosa; Jesús M Paramio
Journal:  Cancer Res       Date:  2014-09-24       Impact factor: 12.701

3.  DNA methylation array analysis identifies profiles of blood-derived DNA methylation associated with bladder cancer.

Authors:  Carmen J Marsit; Devin C Koestler; Brock C Christensen; Margaret R Karagas; E Andres Houseman; Karl T Kelsey
Journal:  J Clin Oncol       Date:  2011-02-22       Impact factor: 44.544

4.  Genetic susceptibility to bladder cancer risk and outcome.

Authors:  Jian Gu; Xifeng Wu
Journal:  Per Med       Date:  2011-05       Impact factor: 2.512

Review 5.  Association between NQO1 C609T polymorphism and bladder cancer susceptibility: a systemic review and meta-analysis.

Authors:  Min Gong; Qingtong Yi; Weiming Wang
Journal:  Tumour Biol       Date:  2013-06-08

Review 6.  Modelling bladder cancer in mice: opportunities and challenges.

Authors:  Takashi Kobayashi; Tomasz B Owczarek; James M McKiernan; Cory Abate-Shen
Journal:  Nat Rev Cancer       Date:  2015-01       Impact factor: 60.716

7.  Cell-cycle control in urothelial carcinoma: large-scale tissue array analysis of tumor tissue from Maine and Vermont.

Authors:  Petra Lenz; Ruth Pfeiffer; Dalsu Baris; Alan R Schned; Mikiko Takikita; M Cristina Poscablo; Molly Schwenn; Alison Johnson; Michael Jones; Masatoshi Kida; Kenneth P Cantor; Nathaniel Rothman; Debra T Silverman; Stephen M Hewitt; Lee E Moore
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-07-03       Impact factor: 4.254

8.  Calling amplified haplotypes in next generation tumor sequence data.

Authors:  Ninad Dewal; Yang Hu; Matthew L Freedman; Thomas Laframboise; Itsik Pe'er
Journal:  Genome Res       Date:  2011-11-16       Impact factor: 9.043

9.  Quantitative assessment of the association between glutathione S-transferase P1 Ile105Val polymorphism and bladder cancer risk.

Authors:  Zhenlong Wang; Li Xue; Tie Chong; Hecheng Li; Haiwen Chen; Ziming Wang
Journal:  Tumour Biol       Date:  2013-03-13

10.  Bladder cancer: Towards risk stratification in bladder cancer.

Authors:  Helena Furberg; Bernard H Bochner
Journal:  Nat Rev Urol       Date:  2013-05-21       Impact factor: 14.432

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