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Susceptibility Loci Associated with Prostate Cancer Progression and Mortality

Gallagher, David J.; Vijai, Joseph; Cronin, Angel M.; Bhatia, Jasmine; Vickers, Andrew J.; Gaudet, Mia M.; Fine, Samson; Reuter, Victor; Scher, Howard I. and Halldén, Christer LU , et al. (2010) In Clinical Cancer Research 16(10). p.2819-2832
Abstract
Purpose: Prostate cancer is a heterogenous disease with a variable natural history that is not accurately predicted by currently used prognostic tools. Experimental Design: We genotyped 798 prostate cancer cases of Ashkenazi Jewish ancestry treated for localized prostate cancer between June 1988 and December 2007. Blood samples were prospectively collected and de-identified before being genotyped and matched to clinical data. The survival analysis was adjusted for Gleason score and prostate-specific antigen. We investigated associations between 29 single nucleotide polymorphisms (SNP) and biochemical recurrence, castration-resistant metastasis, and prostate cancer-specific survival. Subsequently, we did an independent analysis using a... (More)
Purpose: Prostate cancer is a heterogenous disease with a variable natural history that is not accurately predicted by currently used prognostic tools. Experimental Design: We genotyped 798 prostate cancer cases of Ashkenazi Jewish ancestry treated for localized prostate cancer between June 1988 and December 2007. Blood samples were prospectively collected and de-identified before being genotyped and matched to clinical data. The survival analysis was adjusted for Gleason score and prostate-specific antigen. We investigated associations between 29 single nucleotide polymorphisms (SNP) and biochemical recurrence, castration-resistant metastasis, and prostate cancer-specific survival. Subsequently, we did an independent analysis using a high-resolution panel of 13 SNPs. Results: On univariate analysis, two SNPs were associated (P < 0.05) with biochemical recurrence, three SNPs were associated with clinical metastases, and one SNP was associated with prostate cancer specific mortality. Applying a Bonferroni correction (P < 0.0017), one association with biochemical recurrence (P = 0.0007) was significant. Three SNPs showed associations on multivariable analysis, although not after correcting for multiple testing. The secondary analysis identified an additional association with prostate cancer-specific mortality in KLK3 (P < 0.0005 by both univariate and multivariable analysis). Conclusions: We identified associations between prostate cancer susceptibility SNPs and clinical end points. The rs61752561 in KLK3 and rs2735839 in the KLK2-KLK3 intergenic region were strongly associated with prostate cancer-specific survival, and rs10486567 in the 7JAZF1 gene were associated with biochemical recurrence. A larger study will be required to independently validate these findings and determine the role of these SNPs in prognostic models. Clin Cancer Res; 16(10); 2819-32. (C) 2010 AACR. (Less)
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Clinical Cancer Research
volume
16
issue
10
pages
2819 - 2832
publisher
American Association for Cancer Research
external identifiers
  • wos:000278597600014
  • scopus:77952409133
ISSN
1078-0432
DOI
10.1158/1078-0432.CCR-10-0028
language
English
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yes
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a73045ed-0e50-437f-969a-5b2a38e5b1d3 (old id 1631469)
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http://www.ncbi.nlm.nih.gov/pubmed/20460480?dopt=Abstract
date added to LUP
2010-07-21 11:55:44
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2018-05-29 10:42:21
@article{a73045ed-0e50-437f-969a-5b2a38e5b1d3,
  abstract     = {Purpose: Prostate cancer is a heterogenous disease with a variable natural history that is not accurately predicted by currently used prognostic tools. Experimental Design: We genotyped 798 prostate cancer cases of Ashkenazi Jewish ancestry treated for localized prostate cancer between June 1988 and December 2007. Blood samples were prospectively collected and de-identified before being genotyped and matched to clinical data. The survival analysis was adjusted for Gleason score and prostate-specific antigen. We investigated associations between 29 single nucleotide polymorphisms (SNP) and biochemical recurrence, castration-resistant metastasis, and prostate cancer-specific survival. Subsequently, we did an independent analysis using a high-resolution panel of 13 SNPs. Results: On univariate analysis, two SNPs were associated (P &lt; 0.05) with biochemical recurrence, three SNPs were associated with clinical metastases, and one SNP was associated with prostate cancer specific mortality. Applying a Bonferroni correction (P &lt; 0.0017), one association with biochemical recurrence (P = 0.0007) was significant. Three SNPs showed associations on multivariable analysis, although not after correcting for multiple testing. The secondary analysis identified an additional association with prostate cancer-specific mortality in KLK3 (P &lt; 0.0005 by both univariate and multivariable analysis). Conclusions: We identified associations between prostate cancer susceptibility SNPs and clinical end points. The rs61752561 in KLK3 and rs2735839 in the KLK2-KLK3 intergenic region were strongly associated with prostate cancer-specific survival, and rs10486567 in the 7JAZF1 gene were associated with biochemical recurrence. A larger study will be required to independently validate these findings and determine the role of these SNPs in prognostic models. Clin Cancer Res; 16(10); 2819-32. (C) 2010 AACR.},
  author       = {Gallagher, David J. and Vijai, Joseph and Cronin, Angel M. and Bhatia, Jasmine and Vickers, Andrew J. and Gaudet, Mia M. and Fine, Samson and Reuter, Victor and Scher, Howard I. and Halldén, Christer and Dutra-Clarke, Ana and Klein, Robert J. and Scardino, Peter T. and Eastham, James A. and Lilja, Hans and Kirchhoff, Tomas and Offit, Kenneth},
  issn         = {1078-0432},
  language     = {eng},
  number       = {10},
  pages        = {2819--2832},
  publisher    = {American Association for Cancer Research},
  series       = {Clinical Cancer Research},
  title        = {Susceptibility Loci Associated with Prostate Cancer Progression and Mortality},
  url          = {http://dx.doi.org/10.1158/1078-0432.CCR-10-0028},
  volume       = {16},
  year         = {2010},
}