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Träfflista för sökning "WFRF:(Xu Jianfeng) ;pers:(Stattin Pär)"

Search: WFRF:(Xu Jianfeng) > Stattin Pär

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1.
  • Berndt, Sonja I, et al. (author)
  • Large-scale fine mapping of the HNF1B locus and prostate cancer risk
  • 2011
  • In: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 20:16, s. 3322-3329
  • Journal article (peer-reviewed)abstract
    • Previous genome-wide association studies have identified two independent variants in HNF1B as susceptibility loci for prostate cancer risk. To fine-map common genetic variation in this region, we genotyped 79 single nucleotide polymorphisms (SNPs) in the 17q12 region harboring HNF1B in 10 272 prostate cancer cases and 9123 controls of European ancestry from 10 case-control studies as part of the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. Ten SNPs were significantly related to prostate cancer risk at a genome-wide significance level of P < 5 × 10(-8) with the most significant association with rs4430796 (P = 1.62 × 10(-24)). However, risk within this first locus was not entirely explained by rs4430796. Although modestly correlated (r(2)= 0.64), rs7405696 was also associated with risk (P = 9.35 × 10(-23)) even after adjustment for rs4430769 (P = 0.007). As expected, rs11649743 was related to prostate cancer risk (P = 3.54 × 10(-8)); however, the association within this second locus was stronger for rs4794758 (P = 4.95 × 10(-10)), which explained all of the risk observed with rs11649743 when both SNPs were included in the same model (P = 0.32 for rs11649743; P = 0.002 for rs4794758). Sequential conditional analyses indicated that five SNPs (rs4430796, rs7405696, rs4794758, rs1016990 and rs3094509) together comprise the best model for risk in this region. This study demonstrates a complex relationship between variants in the HNF1B region and prostate cancer risk. Further studies are needed to investigate the biological basis of the association of variants in 17q12 with prostate cancer.
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2.
  • Brown, David A, et al. (author)
  • Macrophage inhibitory cytokine 1 : a new prognostic marker in prostate cancer.
  • 2009
  • In: Clinical Cancer Research. - : AMER ASSOC CANCER RESEARCH. - 1078-0432 .- 1557-3265. ; 15:21, s. 6658-6664
  • Journal article (peer-reviewed)abstract
    • PURPOSE: High serum levels of macrophage inhibitory cytokine 1 (MIC-1) are strongly associated with metastatic prostate cancer, suggesting MIC-1 is a biomarker for prostate cancer prognosis. EXPERIMENTAL DESIGN: We conducted a prospective cohort study of 1,442 Swedish men with a pathologically verified diagnosis of prostate cancer between 2001 and 2003. Blood was drawn either pretreatment (n = 431) or posttreatment (n = 1,011) and cases were followed for a mean time of 4.9 years (range, 0.1-6.8 years). RESULTS: MIC-1 serum levels independently predicted poor cancer-specific survival with an almost 3-fold higher cancer death rate in patients with serum levels in the highest quartile compared with men with serum levels in the lowest quartile (adjusted hazard ratio, 2.98; 95% confidence interval, 1.82-4.68). Pretreatment MIC-1 levels revealed an even stronger association with disease outcome with an 8-fold higher death rate in the highest compared with the lowest category (adjusted hazard ratio, 7.98; 95% confidence interval, 1.73-36.86). Among patients considered to have localized disease, MIC-1 significantly increased the discriminative capacity between indolent and lethal prostate cancer compared with the established prognostic markers clinical stage, pathologic grade, and prostate-specific antigen level (P = 0.016). A sequence variant in the MIC-1 gene was associated with decreased MIC-1 serum levels (P = 0.002) and decreased prostate cancer mortality (P = 0.003), suggesting a causative role of MIC-1 in prostate cancer prognosis. CONCLUSIONS: Serum MIC-1 concentration is a novel biomarker capable of predicting prostate cancer prognosis.
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  • Hsu, Fang-Chi, et al. (author)
  • A novel prostate cancer susceptibility locus at 19q13.
  • 2009
  • In: Cancer research. - 1538-7445. ; 69:7, s. 2720-3
  • Journal article (peer-reviewed)abstract
    • A two-stage genome-wide association study (GWAS) of the Cancer Genetic Markers of Susceptibility (CGEMS) initiative identified single nucleotide polymorphisms (SNP) in 150 regions across the genome that may be associated with prostate cancer (PCa) risk. We filtered these results to identify 43 independent SNPs where the frequency of the risk allele was consistently higher in cases than in controls in each of the five CGEMS study populations. Genotype information for 22 of these 43 SNPs was obtained either directly by genotyping or indirectly by imputation in our PCa GWAS of 500 cases and 500 controls selected from a population-based case-control study in Sweden [Cancer of the Prostate in Sweden (CAPS)]. Two of these 22 SNPs were significantly associated with PCa risk (P<0.05). We then genotyped these two SNPs in the remaining cases (n=2,393) and controls (n=1,222) from CAPS and found that rs887391 at 19q13 was highly associated with PCa risk (P=9.4 x 10(-4)). A similar trend of association was found for this SNP in a case-control study from Johns Hopkins Hospital (JHH), albeit the result was not statistically significant. Altogether, the frequency of the risk allele of rs887391 was consistently higher in cases than controls among each of seven study populations examined, with an overall P=3.2 x 10(-7) from a combined allelic test. A fine-mapping study in a 110-kb region at 19q13 among CAPS and JHH study populations revealed that rs887391 was the most strongly associated SNP in the region. Additional confirmation studies of this region are warranted.
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6.
  • Klein, Robert J, et al. (author)
  • Blood biomarker levels to aid discovery of cancer-related single-nucleotide polymorphisms : kallikreins and prostate cancer
  • 2010
  • In: Cancer Prevention Research. - : American Association for Cancer Research. - 1940-6207 .- 1940-6215. ; 3:5, s. 611-619
  • Journal article (peer-reviewed)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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7.
  • Lindmark, Fredrik, et al. (author)
  • Analysis of the macrophage scavenger receptor 1 gene in Swedish hereditary and sporadic prostate cancer.
  • 2004
  • In: The Prostate. - : Wiley. - 0270-4137 .- 1097-0045. ; 59:2, s. 132-140
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: The macrophage scavenger receptor 1 (MSR1) gene on chromosome 8p22 was recently reported as a candidate gene for hereditary prostate cancer (HPC). Here, we further elucidate the role of MSR1 in both Swedish families with HPC and in a cohort of unselected prostate cancer. METHODS: DNA samples from 83 Swedish HPC families and 215 unselected population based cases of prostate cancer as well as 425 age-matched controls were genotyped. RESULTS: A total of 18 variants were identified, including 2 exonic, 7 intronic changes, and 9 changes in the 5'- or 3'-uncoding region. Of the two exonic changes, one previously reported truncation mutation was identified, a R293X nonsense mutation. This mutation was found in 2 of the 83 (2.4%) HPC families. The R293X mutation was found more frequently in men with PC (4.9%) than in unaffected men (2.7%), consistent with previous published results, however our results were not significant (P = 0.16). To additionally test for potential association of common sequence variants and increased risk for the disease, five common polymorphisms (PRO3, INDEL1, IVS5-57, P275A, INDEL7) were genotyped in the group of 215 prostate cancer cases and 425 age-matched controls. No association between any of the five common sequence variants and prostate cancer were found. CONCLUSION: Our results suggest that mutations in MSR1 gene might play a role in prostate cancer susceptibility, particularly the R293X mutation. This study warrants further investigations of the role of MSR1 in prostate cancer etiology.
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8.
  • Lindstrom, Sara, et al. (author)
  • Genetic variation in the upstream region of ERG and prostate cancer
  • 2009
  • In: Cancer Causes and Control. - : SPRINGER. - 0957-5243 .- 1573-7225. ; 20:7, s. 1173-1180
  • Journal article (peer-reviewed)abstract
    • A considerable fraction of prostate cancers harbor a gene fusion between the androgen-regulated TMPRSS2 and ERG, one of the most frequently over-expressed proto-oncogenes in prostate cancer. Here, we investigated if inherited genetic variation upstream of ERG alters prostate cancer risk and survival. We genotyped 21 haplotype tagging SNPs (htSNPs) covering 123 kb of 5'UTR DNA including exon 3 of ERG in 2,760 incident prostate cancer cases and 1,647 controls from a population-based Swedish case-control study (CAPS). Individual SNPs and haplotypes were tested for association with prostate cancer risk and survival. One haplotype-'CTCGTATG' located 100 kb upstream of ERG-was associated with lethal prostate cancer (HR, 1.36; 95% CI, 1.2-1.9, p = 0.006). Carriers of the variant 'T' allele of rs2836626 were diagnosed with higher TNM-stage (p = 0.009) and had an increased risk of prostate cancer-specific death (HR = 1.3; 95% CI, 1.1-1.7, p = 0.009). However, this association did not remain statistically significant after adjusting for multiple testing. We found overall no association between ERG variation and prostate cancer risk. Genetic variation upstream of ERG may alter prostate cancer stage and ultimately prostate cancer-specific death but it is unlikely that it plays a role in prostate cancer development.
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10.
  • Lindström, Sara, et al. (author)
  • Sequence variants in the TLR4 and TLR6-1-10 genes and prostate cancer risk. Results based on pooled analysis from three independent studies.
  • 2010
  • In: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965 .- 1538-7755. ; 19:3, s. 873-876
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Genetic variation in two members of the Toll-like receptor family, TLR4 and the gene cluster TLR6-1-10, has been implicated in prostate cancer in several studies but the associated alleles have not been consistent across reports. METHODS: We did a pooled analysis combining genotype data from three case-control studies, Cancer of the Prostate in Sweden, the Health Professionals Follow-up Study, and the Prostate, Lung, Colon and Ovarian Cancer Screening Trial, with data from 3,101 prostate cancer cases and 2,523 controls. We did imputation to obtain dense coverage of the genes and comparable genotype data for all cohorts. In total, 58 single nucleotide polymorphisms in TLR4 and 96 single nucleotide polymorphisms in TLR6-1-10 were genotyped or imputed and analyzed in the entire data set. We did a cohort-specific analysis as well as meta-analysis and pooled analysis. We also evaluated whether the analyses differed by age or disease severity. RESULTS: We observed no overall association between genetic variation at the TLR4 and TLR6-1-10 loci and risk of prostate cancer. CONCLUSIONS: Common germ line genetic variation in TLR4 and TLR6-1-10 did not seem to have a strong association with risk of prostate cancer. IMPACT: This study suggests that earlier associations between prostate cancer risk and TLR4 and TLR6-1-10 sequence variants were chance findings. To definitely assess the causal relationship between TLR sequence variants and prostate cancer risk, very large sample sizes are needed.
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  • Result 1-10 of 21
Type of publication
journal article (20)
other publication (1)
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peer-reviewed (19)
other academic/artistic (2)
Author/Editor
Xu, Jianfeng (21)
Wiklund, Fredrik (18)
Grönberg, Henrik (15)
Isaacs, William B (12)
Adami, Hans Olov (10)
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Hsu, Fang Chi (8)
Duggan, David (8)
Wiley, Kathleen E (7)
Zhu, Yi (6)
Gronberg, Henrik (6)
Bälter, Katarina (5)
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Isaacs, Sarah D (5)
Chanock, Stephen J (4)
Adolfsson, Jan (4)
Kraft, Peter (4)
Hunter, David J (4)
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Lindström, Sara (4)
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Thun, Michael J (3)
Virtamo, Jarmo (3)
Yeager, Meredith (3)
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Jacobs, Kevin B (3)
Wang, Zhaoming (3)
Lilja, Hans (2)
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Berndt, Sonja I (2)
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Travis, Ruth C (2)
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Chatterjee, Nilanjan (2)
Thomas, Gilles (2)
Yu, Kai (2)
Hutchinson, Amy (2)
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