| 1. |
- Brown, David A, et al.
(författare)
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Macrophage inhibitory cytokine 1 : a new prognostic marker in prostate cancer.
- 2009
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Ingår i: Clinical Cancer Research. - : AMER ASSOC CANCER RESEARCH. - 1078-0432 .- 1557-3265. ; 15:21, s. 6658-6664
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Tidskriftsartikel (refereegranskat)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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| 2. |
- Wiklund, Fredrik E, et al.
(författare)
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Macrophage inhibitory cytokine-1 (MIC-1/GDF15) : a new marker of all-cause mortality
- 2010
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Ingår i: Aging Cell. - : Wiley. - 1474-9718 .- 1474-9726. ; 9:6, s. 1057-1064
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Tidskriftsartikel (refereegranskat)abstract
- Macrophage inhibitory cytokine-1 (MIC-1/GDF15) is a member of the TGF-b superfamily, previously studied in cancer and inflammation. In addition to regulating body weight, MIC-1/GDF15 may be used to predict mortality and/or disease course in cancer, cardiovascular disease (CVD), chronic renal and heart failure, as well as pulmonary embolism. These data suggested that MIC-1/GDF15 may be a marker of all-cause mortality. To determine whether serum MIC-1/GDF15 estimation is a predictor of all-cause mortality, we examined a cohort of 876 male subjects aged 35-80 years, selected from the Swedish Population Registry, and followed them for overall mortality. Serum MIC-1/GDF15 levels were determined for all subjects from samples taken at study entry. A second (independent) cohort of 324 same-sex twins (69% female) from the Swedish Twin Registry was similarly examined. All the twins had telomere length measured and 183 had serum levels of interleukin 6 (IL-6) and C-reactive protein (CRP) available. Patients were followed for up to 14 years and had cause-specific and all-cause mortality determined. Serum MIC-1/GDF15 levels predicted mortality in the all-male cohort with an adjusted odds ratio (OR) of death of 3.38 (95%CI 1.38-8.26). This finding was validated in the twin cohort. Serum MIC-1/GDF15 remained an independent predictor of mortality when further adjusted for telomere length, IL-6 and CRP. Additionally, serum MIC-1/GDF15 levels were directly correlated with survival time independently of genetic background. Serum MIC-1/GDF15 is a novel predictor of all-cause mortality.
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| 3. |
- Berndt, Sonja I, et al.
(författare)
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Large-scale fine mapping of the HNF1B locus and prostate cancer risk
- 2011
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Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 20:16, s. 3322-3329
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Tidskriftsartikel (refereegranskat)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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| 4. |
- Bonn, Stephanie E., et al.
(författare)
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Body mass index and weight change in men with prostate cancer : progression and mortality
- 2014
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Ingår i: Cancer Causes and Control. - : Springer Netherlands. - 0957-5243 .- 1573-7225. ; 25:8, s. 933-943
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Tidskriftsartikel (refereegranskat)abstract
- Body mass index (BMI) is a modifiable lifestyle factor that has been associated with an increased risk of fatal prostate cancer and biochemical recurrence. The main purpose of the present study was to investigate the association between the exposure BMI at the time of a prostate cancer diagnosis and weight change after diagnosis, and the outcomes of prostate cancer progression and mortality in a large cohort study. Data from 4,376 men diagnosed with clinically localized prostate cancer between 1997 and 2002 were analyzed. BMI and weight change were self-reported in 2007. Hazard ratios (HRs) with 95 % confidence intervals (CIs) were estimated in complete-case analysis (n = 3,214) using Cox proportional hazards models. Progression was experienced among 639 (14.6 %) of the study participants, and in total, 450 (10.3 %) deaths of any cause and 134 (3.1 %) prostate cancer-specific deaths were recorded during follow-up. Obese men had a 47 % increased rate of overall mortality compared to normal weight men (HR 1.47, 95 % CI 1.03-2.10). No statistically significant associations were found for BMI and prostate cancer progression or prostate cancer-specific mortality. A weight loss > 5 % after diagnosis almost doubled the rate of overall mortality compared to maintaining a stable weight (HR 1.94, 95 % CI 1.41-2.66), while a weight gain > 5 % was associated with an almost doubled increased rate of prostate cancer-specific mortality (HR 1.93, 95 % CI 1.18-3.16). Being obese was associated with an increased rate of overall mortality, and gaining weight after a prostate cancer diagnosis was associated with an increased rate of prostate cancer-specific mortality.
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| 5. |
- Bonn, Stephanie E., et al.
(författare)
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Physical Activity and Survival among Men Diagnosed with Prostate Cancer
- 2015
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Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - : AMER ASSOC CANCER RESEARCH. - 1055-9965 .- 1538-7755. ; 24:1, s. 57-64
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Tidskriftsartikel (refereegranskat)abstract
- Background: Few studies have investigated the association between post-diagnosis physical activity and mortality among men diagnosed with prostate cancer. The aim of this study was to investigate the effect of physical activity after a prostate cancer diagnosis on both overall and prostate cancer-specific mortality in a large cohort. Methods: Data from 4,623 men diagnosed with localized prostate cancer 1997-2002 and followed-up until 2012 were analyzed. HRs with 95% confidence intervals (CI) were estimated using Cox proportional hazards models to examine the association between post-diagnosis recreational MET-h/d, time spent walking/bicycling, performing household work or exercising, and time to overall and prostate cancer-specific death. All models were adjusted for potential confounders. Results: During the follow-up, 561 deaths of any cause and 194 deaths from prostate cancer occurred. Statistically significantly lower overall mortality rates were found among men engaged in 5 recreationalMET-h/d (HR, 0.63; 95% CI, 0.52-0.77), walking/ bicycling 20 min/d (HR, 0.70; 95% CI, 0.57-0.86), performing householdwork > 1 h/d (HR, 0.71; 95% CI, 0.59-0.86), or exercising > 1 h/wk (HR, 0.74; 95% CI, 0.61-0.90), compared with less active men within each activity type. For prostate cancer-specific mortality, statistically significantly lower mortality rates were seen among men walking/bicycling >= 20 min/d (HR, 0.61; 95% CI, 0.43-0.87) or exercising 1 h/wk (HR, 0.68; 95% CI, 0.48-0.94). Conclusions: Higher levels of physical activity were associated with reduced rates of overall and prostate cancer-specific mortality. Impact: Our study further strengthens previous results indicating beneficial effects of physical activity on survival among men with prostate cancer. Cancer Epidemiol Biomarkers Prev; 24(1); 57-64.
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| 6. |
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| 8. |
- Hsu, Fang-Chi, et al.
(författare)
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A novel prostate cancer susceptibility locus at 19q13.
- 2009
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Ingår i: Cancer research. - 1538-7445. ; 69:7, s. 2720-3
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Tidskriftsartikel (refereegranskat)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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| 9. |
- Jan, Michael, et al.
(författare)
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The roles of stress and social support in prostate cancer mortality
- 2016
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Ingår i: Scandinavian journal of urology. - : Informa UK Limited. - 2168-1805 .- 2168-1813. ; 50:1, s. 47-55
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Tidskriftsartikel (refereegranskat)abstract
- Objective: This study aimed to evaluate the association between perceived stress, social support, disease progression and mortality in a nationwide population-based cohort of men with prostate cancer. Materials and methods: The study surveyed 4105 Swedish men treated for clinically localized prostate cancer regarding stress, grief, sleep habits and social support. Associations between these factors and mortality were assessed using multivariate Cox regression analysis. Results: Men with the highest levels of perceived stress had a statistically significantly increased rate of prostate cancer-specific mortality compared with men with low stress levels (hazard ratio 1.66, 95% confidence interval 1.05-2.63). Men with high stress levels also had a high frequency of grieving and sleep loss. They also had fewer people with whom to share their emotional problems and felt an inability to share most of their problems with partners, friends and family. Conclusions: This study contributes to the growing field of psychosocial quality of life research in men with prostate cancer. The findings show a significant association between prostate cancer-specific mortality and perceived stress in patients initially diagnosed with localized, non-metastatic prostate cancer. Significant associations between perceived stress and various psychosocial factors were also seen. The findings of this study could prove useful to target interventions to improve quality of life in men with prostate cancer.
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| 10. |
- Johansson, Mattias, et al.
(författare)
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Combining 33 genetic variants with prostate-specific antigen for prediction of prostate cancer : longitudinal study
- 2012
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Ingår i: International Journal of Cancer. - : Wiley. - 0020-7136 .- 1097-0215. ; 130:1, s. 129-137
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Tidskriftsartikel (refereegranskat)abstract
- The aim of this study was to investigate if a genetic risk score including 33 common genetic variants improves prediction of prostate cancer when added to measures of prostate-specific antigen (PSA). We conducted a case-control study nested within the Northern Sweden Health and Disease Cohort (NSHDC), a prospective cohort in northern Sweden. A total of 520 cases and 988 controls matched for age, and date of blood draw were identified by linkage between the regional cancer register and the NSHDC. Receiver operating characteristic curves with area under curve (AUC) estimates were used as measures of prostate cancer prediction. The AUC for the genetic risk score was 64.3% [95% confidence interval (CI) = 61.4-67.2], and the AUC for total PSA and the ratio of free to total PSA was 86.2% (95% CI = 84.4-88.1). A model including the genetic risk score, total PSA and the ratio of free to total PSA increased the AUC to 87.2% (95% CI = 85.4-89.0, p difference = 0.002). The addition of a genetic risk score to PSA resulted in a marginal improvement in prostate cancer prediction that would not seem useful for clinical risk assessment.
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