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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2014
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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. |
format | Online Article Text |
id | pubmed-4162525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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