Literature DB >> 22181854

Prostate cancer genomics, biology, and risk assessment through genome-wide association studies.

Hidewaki Nakagawa1, Shusuke Akamatsu, Ryo Takata, Atsushi Takahashi, Michiaki Kubo, Yusuke Nakamura.   

Abstract

Prostate cancer (PC) is the most common malignancy observed in men. It is evident that genetic factors play some important roles in PC etiology. Recently, genome-wide association studies in diverse ethnic groups have identified more than 40 germline variants of various genes or chromosomal loci that are significantly associated with PC susceptibility, including multiple 8q24 loci, prostate-specific genes, metabolic and hormone-related genes, and many regions where no coding gene is annotated. However, there are only a few variants or genes for which biological significance or functions have been elucidated so far. The greatest challenge related to genome-wide association studies loci in prostate genomics is to understand the functional consequences of these PC-associated loci and their involvement in PC biology and carcinogenesis. There have been attempts to determine PC risk estimations by combining multiple PC-associated variants for clinical tests, and these can identify a very minor population with high risk of PC. However, they cannot distinguish risk of aggressive PC from that of non-aggressive PC. Further identification of PC-susceptibility loci in larger genome-wide association studies cohorts and biological insights gained from such functional analyses have the potential to translate into clinical benefits, including the development of reliable biomarkers, risk estimation, and effective strategies for screening and prevention of PC.
© 2011 Japanese Cancer Association.

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Year:  2012        PMID: 22181854     DOI: 10.1111/j.1349-7006.2011.02193.x

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  17 in total

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3.  Regulators of gene expression as biomarkers for prostate cancer.

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4.  Association of CYP1A1 polymorphisms with prostate cancer risk: an updated meta-analysis.

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5.  A multi-locus genetic association test for a dichotomous trait and its secondary phenotype.

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6.  Loss of heterozygosity for chromosomal regions 15q14-21.1, 17q21.31, and 13q12.3-13.1 and its relevance for prostate cancer.

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7.  Single nucleotide polymorphisms in DKK3 gene are associated with prostate cancer risk and progression.

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8.  Reproducibility, performance, and clinical utility of a genetic risk prediction model for prostate cancer in Japanese.

Authors:  Shusuke Akamatsu; Atsushi Takahashi; Ryo Takata; Michiaki Kubo; Takahiro Inoue; Takashi Morizono; Tatsuhiko Tsunoda; Naoyuki Kamatani; Christopher A Haiman; Peggy Wan; Gary K Chen; Loic Le Marchand; Laurence N Kolonel; Brian E Henderson; Tomoaki Fujioka; Tomonori Habuchi; Yusuke Nakamura; Osamu Ogawa; Hidewaki Nakagawa
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

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10.  Skewed X-chromosome inactivation in patients with esophageal carcinoma.

Authors:  Gang Li; Tianbo Jin; Hongjuan Liang; Yanyang Tu; Wei Zhang; Li Gong; Qin Su; Guodong Gao
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