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Sökning: L773:0270 4137 > Gronberg Henrik

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1.
  • Cantarutti, Anna, et al. (författare)
  • Body mass index and mortality in men with prostate cancer
  • 2015
  • Ingår i: The Prostate. - : WILEY-BLACKWELL. - 0270-4137 .- 1097-0045. ; 75:11, s. 1129-1136
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUNDBody Mass index (BMI) has been shown to affect risk and mortality of several cancers. Prostate cancer and obesity are major public health concerns for middle-aged and older men. Previous studies of pre-diagnostic BMI have found an increased risk of prostate cancer mortality in obese patients. OBJECTIVETo study the associations between BMI at time of prostate cancer diagnosis and prostate cancer specific and overall mortality. METHODSBMI was analyzed both as a continuous variable and categorized into four groups based on the observed distribution in the cohort (BMI<22.5, 22.5<25, 25<27.5 and 27.5kg/m(2)). The association between BMI and mortality was assessed using stratified Cox proportional hazards models and by fitting regression splines for dose response analysis in 3,161 men diagnosed with prostate cancer. After 11 years of follow up via linkage to the population-based cause of death registry, we identified 1,161 (37%) deaths off which 690 (59%) were due to prostate cancer. RESULTSHigh BMI (BMI27.5kg/m(2)) was associated with a statistically significant increased risk of prostate cancer specific mortality (HR:1.44, 95%CI: 1.09-1.90) and overall mortality (HR:1.33, 95%CI: 1.09-1.63) compared to the reference group (BMI 22.5<25kg/m(2)). Additionally, men with a low BMI (<22.5kg/m(2)), had a statistically significant increased risk of prostate cancer specific mortality (HR:1.33, 95%CI: 1.02-1.74) and overall mortality (HR:1.36, 95%CI: 1.11-1.67) compared to the reference. However, this effect disappeared when men who died within the first two years of follow-up were excluded from the analyses while the increased risk of prostate cancer specific mortality and overall mortality remained statistically significant for men with a BMI27.5kg/m(2) (HR:1.44, 95%CI: 1.09-1.90 and HR: 1.33, 95%CI: 1.09-1.63, respectively). CONCLUSIONThis study showed that a high BMI at time of prostate cancer diagnosis was associated with increased overall mortality. Prostate 75: 1129-1136, 2015. (c) 2015 Wiley Periodicals, Inc.
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2.
  • Lindström, Sara, et al. (författare)
  • Systematic replication study of reported genetic associations in prostate cancer : Strong support for genetic variation in the androgen pathway
  • 2006
  • Ingår i: The Prostate. - Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden. Umea Univ, Dept Radiat Sci Oncol, Umea, Sweden. Wake Forest Univ, Sch Med, Ctr Human Genome, Winston Salem, NC USA. Karolinska Inst, Ctr Genome & Bioinformat, Stockholm, Sweden. Univ Leicester, Dept Genet, Leicester, Leics, England. Johns Hopkins Med Inst, Dept Urol, Baltimore, MD USA. Karolinska Inst, CLINTEC, Ctr Oncol, Stockholm, Sweden. : WILEY-LISS. - 0270-4137 .- 1097-0045. ; 66:16, s. 1729-1743
  • Forskningsöversikt (refereegranskat)abstract
    • BACKGROUND. Association studies have become a common and popular method to identify genetic variants predisposing to complex diseases. Despite considerable efforts and initial promising findings, the field of prostate cancer genetics is characterized by inconclusive reports and no prostate cancer gene has yet been established. METHODS. We performed a literature review and identified 79 different polymorphisms reported to influence prostate cancer risk. Of these, 46 were selected and tested for association in a large Swedish population-based case-control prostate cancer population. RESULTS. We observed significant (P < 0.05) confirmation for six polymorphisms located in five different genes. Three of them coded for key enzymes in the androgen biosynthesis and response pathway; the CAG repeat in the androgen receptor (AR) gene (P = 0.03), one SNP in the CYP17 gene (P = 0.04), two SNPs in the SRD5A2 gene (P = 0.02 and 0.02, respectively), a deletion of the GSTT1. gene (P = 0.006), and one SNP in the MSR1 gene, IVS5-59C > A, (P = 0.009). CONCLUSIONS. Notwithstanding the difficulties to replicate findings in genetic association studies, our results strongly support the importance of androgen pathway genes in prostate cancer etiology.
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3.
  • Szulkin, Robert, et al. (författare)
  • Prediction of individual genetic risk to prostate cancer using a polygenic score.
  • 2015
  • Ingår i: The Prostate. - : Wiley. - 0270-4137 .- 1097-0045. ; 75:13, s. 1467-74
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome-wide significant level will improve disease prediction.METHODS: We built polygenic risk scores in a large training set comprising over 25,000 individuals. Initially 65 established prostate cancer susceptibility variants were selected. After LD pruning additional variants were prioritized based on their association with prostate cancer. Six-fold cross validation was performed to assess genetic risk scores and optimize the number of additional variants to be included. The final model was evaluated in an independent study population including 1,370 cases and 1,239 controls.RESULTS: The polygenic risk score with 65 established susceptibility variants provided an area under the curve (AUC) of 0.67. Adding an additional 68 novel variants significantly increased the AUC to 0.68 (P = 0.0012) and the net reclassification index with 0.21 (P = 8.5E-08). All novel variants were located in genomic regions established as associated with prostate cancer risk.CONCLUSIONS: Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction.
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4.
  • Wiklund, Fredrik, et al. (författare)
  • Association of Reported Prostate Cancer Risk Alleles With PSA Levels Among Men Without a Diagnosis of Prostate Cancer
  • 2009
  • Ingår i: The Prostate. - : Wiley. - 0270-4137 .- 1097-0045. ; 69:4, s. 419-427
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND. Prostate specific antigen (PSA) is widely used for prostate cancer screening but its levels are influenced by many non cancer-related factors. The goal of the study is to estimate the effect of genetic variants on PSA levels. METHODS. We evaluated the association of SNPs that were reported to be associated with prostate cancer risk in recent genome-wide association studies with plasma PSA levels in a Swedish study population, including 1,722 control subjects without a diagnosis of prostate cancer. RESULTS. Of the 16 SNPs analyzed in control subjects, significant associations with PSA levels (P <= 0.05) were found for six SNPs. These six SNP's had a cumulative effect on PSA levels; the mean PSA levels in men were almost twofold increased across increasing quintile of number of PSA associated alleles, P-trend = 3.4 x 10(-14). In this Swedish study population risk allele frequencies were similar among T1c case patients (cancer detected by elevated PSA levels alone) as compared to T2 and above prostate cancer case patients. CONCLUSIONS. Results from this study may have two important clinical implications. The cumulative effect of six SNPs on PSA levels suggests genetic-specific PSA cutoff values may be used to improve the discriminatory performance of this test for prostate cancer; and the dual associations of these SNPs with PSA levels and prostate cancer risk raise a concern that some of reported prostate cancer risk-associated SNPs may be confounded by the prevalent use of PSA screening. Prostate 69: 419-427, 2009. (C) 2008 Wiley-Liss, Inc.
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5.
  • Zheng, S. Lilly, et al. (författare)
  • A comprehensive association study for genes in inflammation pathway provides support for their roles in prostate cancer risk in the CAPS study
  • 2006
  • Ingår i: The Prostate. - Wake Forest Univ, Bowman Gray Sch Med, Ctr Human Genom, Winston Salem, NC USA. Karolinska Inst, Dept Med Epidemiol & Biotat, Stockholm, Sweden. Orebro Univ Hosp, Dept Urol & Clin Med, Orebro, Sweden. Translat Genom Res Inst, Phoenix, AZ USA. Johns Hopkins Med Inst, Dept Urol, Baltimore, MD 21205 USA. : WILEY-LISS. - 0270-4137 .- 1097-0045. ; 66:14, s. 1556-1564
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND. Recently identified associations of prostate cancer risk with several genes involved in innate immunity support a role of inflammation in the etiology of prostate cancer. Considering inflammation is regulated by a complex system of gene products, we hypothesize sequence variants in many other genes of this pathway are associated with prostate cancer. METHODS. We evaluated 9,275 SNPs; in 1,086 genes of the inflammation pathway using a MegAlleleTM genotyping system among 200 familial cases and 200 unaffected controls selected from a large Swedish case-control population (CAPS). RESULTS. We found that significantly more than the expected numbers of SNPs were significant at a nominal P-value of 0.01, 0.05, and 0.1, providing overall support for our hypothesis. The excess was largest when using a more liberal nominal P-value (0.1); we observed 992 significant SNPs compared with the 854 significant SNPs expected by chance, and this difference was significant based on a permutation test (P = 0.0025). We also began the effort of differentiating true associated SNPs by selecting a small subset of significant SNPs (N = 26) and genotyped these in an independent sample of similar to 1,900 CAPS1 subjects. We were able to confirm 3 of these 26 SNPs. It is expected that many more true associated SNPs will be confirmed among the 992 significant SNPs identified in our pathway screen. CONCLUSIONS. Our study provides the first objective support for an association between prostate cancer and multiple modest-effect genes in inflammatory pathways.
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