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| 2. |
- Gupta, A., et al.
(författare)
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A four-kallikrein panel for the prediction of repeat prostate biopsy: data from the European Randomized Study of Prostate Cancer Screening in Rotterdam, Netherlands
- 2010
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Ingår i: British Journal of Cancer. - : Springer Science and Business Media LLC. - 1532-1827 .- 0007-0920. ; 103:5, s. 708-714
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Most men with elevated levels of prostate-specific antigen (PSA) do not have prostate cancer, leading to a large number of unnecessary biopsies. A statistical model based on a panel of four kallikreins has been shown to predict the outcome of a first prostate biopsy. In this study, we apply the model to an independent data set of men with previous negative biopsy but persistently elevated PSA. METHODS: The study cohort consisted of 925 men with a previous negative prostate biopsy and elevated PSA (>= 3 ngml(-1)), with 110 prostate cancers detected (12%). A previously published statistical model was applied, with recalibration to reflect the lower positive biopsy rates on rebiopsy. RESULTS: The full-kallikrein panel had higher discriminative accuracy than PSA and DRE alone, with area under the curve (AUC) improving from 0.58 (95% confidence interval (CI): 0.52, 0.64) to 0.68 (95% CI: 0.62, 0.74), P<0.001, and high-grade cancer (Gleason >= 7) at biopsy with AUC improving from 0.76 (95% CI: 0.64, 0.89) to 0.87 (95% CI: 0.81, 0.94), P 0.003). Application of the panel to 1000 men with persistently elevated PSA after initial negative biopsy, at a 15% risk threshold would reduce the number of biopsies by 712; would miss (or delay) the diagnosis of 53 cancers, of which only 3 would be Gleason 7 and the rest Gleason 6 or less. CONCLUSIONS: Our data constitute an external validation of a previously published model. The four-kallikrein panel predicts the result of repeat prostate biopsy in men with elevated PSA while dramatically decreasing unnecessary biopsies. British Journal of Cancer (2010) 103, 708-714. doi:10.1038/sj.bjc.6605815 www.bjcancer.com Published online 27 July 2010 (C) 2010 Cancer Research UK
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| 3. |
- Klein, Robert J, et al.
(författare)
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Blood biomarker levels to aid discovery of cancer-related single-nucleotide polymorphisms : kallikreins and prostate cancer
- 2010
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Ingår i: Cancer Prevention Research. - : American Association for Cancer Research. - 1940-6207 .- 1940-6215. ; 3:5, s. 611-619
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Tidskriftsartikel (refereegranskat)abstract
- Polymorphisms associated with prostate cancer include those in three genes encoding major secretory products of the prostate: KLK2 (encoding kallikrein-related peptidase 2; hK2), KLK3 (encoding prostate-specific antigen; PSA), and MSMB (encoding beta-microseminoprotein). PSA and hK2, members of the kallikrein family, are elevated in sera of men with prostate cancer. In a comprehensive analysis that included sequencing of all coding, flanking, and 2 kb of putative promoter regions of all 15 kallikrein (KLK) genes spanning approximately 280 kb on chromosome 19q, we identified novel single-nucleotide polymorphisms (SNP) and genotyped 104 SNPs in 1,419 cancer cases and 736 controls in Cancer Prostate in Sweden 1, with independent replication in 1,267 cases and 901 controls in Cancer Prostate in Sweden 2. This verified prior associations of SNPs in KLK2 and in MSMB (but not in KLK3) with prostate cancer. Twelve SNPs in KLK2 and KLK3 were associated with levels of PSA forms or hK2 in plasma of control subjects. Based on our comprehensive approach, this is likely to represent all common KLK variants associated with these phenotypes. A T allele at rs198977 in KLK2 was associated with increased cancer risk and a striking decrease of hK2 levels in blood. We also found a strong interaction between rs198977 genotype and hK2 levels in blood in predicting cancer risk. Based on this strong association, we developed a model for predicting prostate cancer risk from standard biomarkers, rs198977 genotype, and rs198977 x hK2 interaction; this model had greater accuracy than did biomarkers alone (area under the receiver operating characteristic curve, 0.874 versus 0.866), providing proof in principle to clinical application for our findings.
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| 4. |
- Hugosson, Jonas, 1955, et al.
(författare)
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Mortality results from the Göteborg randomised population-based prostate-cancer screening trial.
- 2010
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Ingår i: The lancet oncology. - 1474-5488. ; 11:8, s. 725-32
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Tidskriftsartikel (refereegranskat)abstract
- Prostate cancer is one of the leading causes of death from malignant disease among men in the developed world. One strategy to decrease the risk of death from this disease is screening with prostate-specific antigen (PSA); however, the extent of benefit and harm with such screening is under continuous debate.
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| 5. |
- Végvári, Ákos, et al.
(författare)
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Identification of prostate specific antigen (PSA) isoforms in complex biological samples utilizing complementary platforms
- 2010
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Ingår i: Journal of Proteomics. - : Elsevier BV. - 1874-3919. ; 73:6, s. 1137-1147
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Tidskriftsartikel (refereegranskat)abstract
- Measurements of the prostate-specific antigen (PSA) levels in blood are widely used as diagnostic, predictive and prognostic marker of prostate disease. The selective detection of molecular forms of PSA can contribute clinically to meaningful enhancements of the conventional PSA-test. As it is plausible that an in-depth search for structural variants of PSA gene products may increase our ability to discriminate distinct patho-biological basis and stages of prostate diseases, we have developed a multi-step protocol comprising gel-based methods followed by mass spectrometric identification. Our current aim was to provide a comprehensive identification of PSA variants occurring in seminal fluid. We provide a proof-of-principle for this multiple step analytical approach to identify multiple PSA variants from complex biological samples that revealed distinct molecular characteristics. In addition, sequence-annotated protein bands in SDS–PAGE gels were compared to those detected by Western blots, and by monitoring the enzymatic activity in zymogram gels, using gelatin as a substrate. The high accuracy annotations were obtained by fast turnaround MALDI-Orbitrap analysis from excised and digested gel bands. Multiple PSA forms were identified utilizing a combination of MASCOT and SEQUEST search engines.
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| 6. |
- Gallagher, David J., et al.
(författare)
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Susceptibility Loci Associated with Prostate Cancer Progression and Mortality
- 2010
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Ingår i: Clinical Cancer Research. - 1078-0432. ; 16:10, s. 2819-2832
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Tidskriftsartikel (refereegranskat)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 < 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.
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| 7. |
- Hagman, Zandra, et al.
(författare)
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miR-34c is down regulated in prostate cancer and exerts tumor suppressive functions.
- 2010
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Ingår i: International Journal of Cancer. - : Wiley. - 0020-7136. ; 127:12, s. 2768-2776
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Tidskriftsartikel (refereegranskat)abstract
- MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression. There have been several reports of miRNA deregulation in prostate cancer and the biological evidence for an involvement of miRNAs in prostate tumorigenesis is increasing. In this study, we show that miR-34c is downregulated in prostate cancer (p = 0.0005) by performing qRT-PCR on 49 TURPs from prostate cancer patients compared to 25 from patients with benign prostatic hyperplasia. The miR-34c expression was found to inversely correlate to aggressiveness of the tumour, WHO grade, PSA levels and occurrence of metastases. Furthermore, a Kaplan-Meier analysis of patient survival based on miR-34c expression levels divided into low (<50(th) percentile) and high (> 50(th) percentile) expression, significantly divides the patients into high risk and low risk patients (p = 0.0003, long-rank test). The phenotypic effects of miR-34c deregulation were studied in prostate cell lines, where ectopic expression of miR-34c decreased cell growth, due to both a decrease in cellular proliferation rate and an increase in apoptosis. In concordance to this, miR-34c was found to negatively regulate the oncogenes E2F3 and BCL-2, which stimulates proliferation and suppress apoptosis in prostate cancer cells respectively. Reversely, we could also show that blocking miR-34c in vitro increases cell growth. Further, ectopic expression of miR-34c was found to suppress migration and invasion. Our findings provide new insight into the role of miR-34c in the prostate, exhibiting tumor suppressing effects on proliferation, apoptosis and invasiveness. (c) 2010 UICC.
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| 8. |
- Savage, Caroline J, et al.
(författare)
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Empirical Estimates of the Lead Time Distribution for Prostate Cancer Based on Two Independent Representative Cohorts of Men Not Subject to Prostate-Specific Antigen Screening.
- 2010
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Ingår i: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. - 1538-7755. ; May 4, s. 1201-1207
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Lead time, the estimated time by which screening advances the date of diagnosis, is used to calculate the risk of overdiagnosis. We sought to describe empirically the distribution of lead times between an elevated prostate-specific antigen (PSA) and subsequent prostate cancer diagnosis. METHODS: We linked the Swedish cancer registry to two independent cohorts: 60-year-olds sampled in 1981-1982 and 51- to 56-year-olds sampled in 1982-1985. We used univariate kernel density estimation to characterize the lead time distribution. Linear regression was used to model the lead time as a function of baseline PSA and logistic regression was used to test for an association between lead time and either stage or grade at diagnosis. RESULTS: Of 1,167 older men, 132 were diagnosed with prostate cancer, of which 57 had PSA >/=3 ng/mL at baseline; 495 of 4,260 younger men were diagnosed with prostate cancer, of which 116 had PSA >/=3 ng/mL at baseline. The median lead time was slightly longer in the younger men (12.8 versus 11.8 years). In both cohorts, wide variation in lead times followed an approximately normal distribution. Longer lead times were significantly associated with a lower risk of high-grade disease in older and younger men [odds ratio, 0.82 (P = 0.023) and 0.77 (P < 0.001)]. CONCLUSION: Our findings suggest that early changes in the natural history of the disease are associated with high-grade cancer at diagnosis. Impact: The distinct differences between the observed distribution of lead times and those used in modeling studies illustrate the need to model overdiagnosis rates using empirical data. Cancer Epidemiol Biomarkers Prev; 19(5); OF1-7. (c)2010 AACR.
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| 9. |
- Vickers, Andrew J., et al.
(författare)
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A Four-Kallikrein Panel Predicts Prostate Cancer in Men with Recent Screening: Data from the European Randomized Study of Screening for Prostate Cancer, Rotterdam
- 2010
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Ingår i: Clinical Cancer Research. - 1078-0432. ; 16:12, s. 3232-3239
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: We have developed a statistical prediction model for prostate cancer based on four kallikrein markers in blood: total, free, and intact prostate-specific antigen ( PSA), and kallikrein-related peptidase 2 ( hK2). Although this model accurately predicts the result of biopsy in unscreened men, its properties for men with a history of PSA screening have not been fully characterized. Experimental Design: A total of 1,501 previously screened men with elevated PSA underwent initial biopsy during rounds 2 and 3 of the European Randomized Study of Screening for Prostate Cancer, Rotterdam, with 388 cancers diagnosed. Biomarker levels were measured in serum samples taken before biopsy. The prediction model developed on the unscreened cohort was then applied and predictions compared with biopsy outcome. Results: The previously developed four-kallikrein prediction model had much higher predictive accuracy than PSA and age alone ( area under the curve of 0.711 versus 0.585, and 0.713 versus 0.557 with and without digital rectal exam, respectively; both P < 0.001). Similar statistically significant enhancements were seen for high-grade cancer. Applying the model with a cutoff of 20% cancer risk as the criterion for biopsy would reduce the biopsy rate by 362 for every 1,000 men with elevated PSA. Although diagnosis would be delayed for 47 cancers, these would be predominately low-stage and low-grade ( 83% Gleason 6 T-1c). Conclusions: A panel of four kallikreins can help predict the result of initial biopsy in previously screened men with elevated PSA. Use of a statistical model based on the panel would substantially decrease rates of unnecessary biopsy. Clin Cancer Res; 16( 12); 3232-9. (C)2010 AACR.
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| 10. |
- Vickers, Andrew J., et al.
(författare)
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Prostate specific antigen concentration at age 60 and death or metastasis from prostate cancer : Case-control study
- 2010
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Ingår i: BMJ (Online). - : BMJ. - 1756-1833 .- 0959-8138 .- 1468-5833. ; 341:7773
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To determine the relation between concentrations of prostate specific antigen at age 60 and subsequent diagnosis of clinically relevant prostate cancer in an unscreened population to evaluate whether screening for prostate cancer and chemoprevention could be stratified by risk. Design: Case-control study with 1:3 matching nested within a highly representative population based cohort study. Setting: General population of Sweden taking part in the Malmo Preventive Project. Cancer registry at the National Board of Health and Welfare. Participants: 1167 men aged 60 who provided blood samples in 1981 and were followed up to age 85. Main outcome measures: Metastasis or death from prostate cancer. Results: The rate of screening during the course of the study was low. There were 43 cases of metastasis and 35 deaths from prostate cancer. Concentration of prostate specific antigen at age 60 was associated with prostate cancer metastasis (area under the curve 0.86, 95% confidence interval 0.79 to 0.92; P<0.001) and death from prostate cancer (0.90, 0.84 to 0.96; P<0.001). The greater the number for the area under the curve (values from 0 to 1) the better the test. Although only a minority of the men with concentrations in the top quarter (>2 ng/ml) develop fatal prostate cancer, 90% (78% to 100%) of deaths from prostate cancer occurred in these men. Conversely, men aged 60 with concentrations at the median or lower (≤1 ng/ml) were unlikely to have clinically relevant prostate cancer (0.5% risk of metastasis by age 85 and 0.2% risk of death from prostate cancer). Conclusions: The concentration of prostate specific antigen at age 60 predicts lifetime risk of metastasis and death from prostate cancer. Though men aged 60 with concentrations below the median (≤1 ng/ml) might harbour prostate cancer, it is unlikely to become life threatening. Such men could be exempted from further screening, which should instead focus on men with higher concentrations.
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