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Human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy

PURPOSE: The human kallikrein-2 (hK2) protein and two single nucleotide polymorphism (SNPs) (rs2664155, rs198977) of the gene are associated with prostate cancer risk. We examined whether hK2 protein and gene SNPs predict prostate cancer at the time of repeat biopsy. METHODS: We prospectively offere...

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Autores principales: Satkunasivam, Raj, Zhang, William, Trachtenberg, John, Toi, Ants, Yu, Changhong, Diamandis, Eleftherios, Kattan, Michael W, Narod, Steven A, Nam, Robert K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162525/
https://www.ncbi.nlm.nih.gov/pubmed/25279276
http://dx.doi.org/10.1186/2193-1801-3-295
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author Satkunasivam, Raj
Zhang, William
Trachtenberg, John
Toi, Ants
Yu, Changhong
Diamandis, Eleftherios
Kattan, Michael W
Narod, Steven A
Nam, Robert K
author_facet Satkunasivam, Raj
Zhang, William
Trachtenberg, John
Toi, Ants
Yu, Changhong
Diamandis, Eleftherios
Kattan, Michael W
Narod, Steven A
Nam, Robert K
author_sort Satkunasivam, Raj
collection PubMed
description PURPOSE: The human kallikrein-2 (hK2) protein and two single nucleotide polymorphism (SNPs) (rs2664155, rs198977) of the gene are associated with prostate cancer risk. We examined whether hK2 protein and gene SNPs predict prostate cancer at the time of repeat biopsy. METHODS: We prospectively offered a repeat biopsy to men with a negative prostate biopsy performed for a PSA >4.0 ng/mL or abnormal Digital Rectal Exam (DRE) between 2001–2005. We genotyped and measured serum hK2 levels in 941 men who underwent a repeat prostate biopsy. Logistic regression analyses were conducted to determine the significance of KLK2 SNPs and hK2 levels for predicting cancer at repeat biopsy. RESULTS: Of the 941 patients, 180 (19.1%) were found to have cancer. The rs198977 SNP was positively associated with cancer at repeat biopsy (OR variant T allele = 1.8, 95% CI: 1.04-3.13, p = 0.049). When combined, the odds ratio for prostate cancer for patients with high hK2 levels and the variant T-allele of rs198977 was 3.77 (95% CI: 1.94-7.32, p < 0.0001), compared to patients with low hK2 levels and the C-allele. The addition of hK2 levels and KLK2 rs198977 to the baseline predictive model did not significantly increase the area under the curve from a baseline model of 0.67 to 0.69 (p = 0.6). CONCLUSIONS: The KLK2 SNP rs198977 was positively associated with hK2 levels and predicts prostate cancer at the time of repeat prostate biopsy. Further characterization of the KLK2 gene will be needed to determine its clinical utility.
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spelling pubmed-41625252014-10-02 Human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy Satkunasivam, Raj Zhang, William Trachtenberg, John Toi, Ants Yu, Changhong Diamandis, Eleftherios Kattan, Michael W Narod, Steven A Nam, Robert K Springerplus Research PURPOSE: The human kallikrein-2 (hK2) protein and two single nucleotide polymorphism (SNPs) (rs2664155, rs198977) of the gene are associated with prostate cancer risk. We examined whether hK2 protein and gene SNPs predict prostate cancer at the time of repeat biopsy. METHODS: We prospectively offered a repeat biopsy to men with a negative prostate biopsy performed for a PSA >4.0 ng/mL or abnormal Digital Rectal Exam (DRE) between 2001–2005. We genotyped and measured serum hK2 levels in 941 men who underwent a repeat prostate biopsy. Logistic regression analyses were conducted to determine the significance of KLK2 SNPs and hK2 levels for predicting cancer at repeat biopsy. RESULTS: Of the 941 patients, 180 (19.1%) were found to have cancer. The rs198977 SNP was positively associated with cancer at repeat biopsy (OR variant T allele = 1.8, 95% CI: 1.04-3.13, p = 0.049). When combined, the odds ratio for prostate cancer for patients with high hK2 levels and the variant T-allele of rs198977 was 3.77 (95% CI: 1.94-7.32, p < 0.0001), compared to patients with low hK2 levels and the C-allele. The addition of hK2 levels and KLK2 rs198977 to the baseline predictive model did not significantly increase the area under the curve from a baseline model of 0.67 to 0.69 (p = 0.6). CONCLUSIONS: The KLK2 SNP rs198977 was positively associated with hK2 levels and predicts prostate cancer at the time of repeat prostate biopsy. Further characterization of the KLK2 gene will be needed to determine its clinical utility. Springer International Publishing 2014-06-11 /pmc/articles/PMC4162525/ /pubmed/25279276 http://dx.doi.org/10.1186/2193-1801-3-295 Text en © Satkunasivam et al.; licensee Springer. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Satkunasivam, Raj
Zhang, William
Trachtenberg, John
Toi, Ants
Yu, Changhong
Diamandis, Eleftherios
Kattan, Michael W
Narod, Steven A
Nam, Robert K
Human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy
title Human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy
title_full Human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy
title_fullStr Human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy
title_full_unstemmed Human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy
title_short Human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy
title_sort human kallikrein-2 gene and protein expression predicts prostate cancer at repeat biopsy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162525/
https://www.ncbi.nlm.nih.gov/pubmed/25279276
http://dx.doi.org/10.1186/2193-1801-3-295
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