scholarly journals Metabolic syndrome biomarkers and prostate cancer risk in the UK Biobank

2020 ◽  
Vol 148 (4) ◽  
pp. 825-834
Author(s):  
Maria J. Monroy‐Iglesias ◽  
Beth Russell ◽  
Danielle Crawley ◽  
Naomi E. Allen ◽  
Ruth C. Travis ◽  
...  
2020 ◽  
Vol 29 (8) ◽  
pp. 1615-1626 ◽  
Author(s):  
Eleanor L. Watts ◽  
Aurora Perez-Cornago ◽  
Jaimal Kothari ◽  
Naomi E. Allen ◽  
Ruth C. Travis ◽  
...  

2019 ◽  
Vol 49 (2) ◽  
pp. 587-596 ◽  
Author(s):  
Nabila Kazmi ◽  
Philip Haycock ◽  
Konstantinos Tsilidis ◽  
Brigid M Lynch ◽  
Therese Truong ◽  
...  

Abstract Background Prostate cancer is the second most common male cancer worldwide, but there is substantial geographical variation, suggesting a potential role for modifiable risk factors in prostate carcinogenesis. Methods We identified previously reported prostate cancer risk factors from the World Cancer Research Fund (WCRF)’s systematic appraisal of the global evidence (2018). We assessed whether each identified risk factor was causally associated with risk of overall (79 148 cases and 61 106 controls) or aggressive (15 167 cases and 58 308 controls) prostate cancer using Mendelian randomization (MR) based on genome-wide association-study summary statistics from the PRACTICAL and GAME-ON/ELLIPSE consortia. We assessed evidence for replication in UK Biobank (7844 prostate-cancer cases and 204 001 controls). Results WCRF identified 57 potential risk factors, of which 22 could be instrumented for MR analyses using single nucleotide polymorphisms. For overall prostate cancer, we identified evidence compatible with causality for the following risk factors (odds ratio [OR] per standard deviation increase; 95% confidence interval): accelerometer-measured physical activity, OR = 0.49 (0.33–0.72; P = 0.0003); serum iron, OR = 0.92 (0.86–0.98; P = 0.007); body mass index (BMI), OR = 0.90 (0.84–0.97; P = 0.003); and monounsaturated fat, OR = 1.11 (1.02–1.20; P = 0.02). Findings in our replication analyses in UK Biobank were compatible with our main analyses (albeit with wide confidence intervals). In MR analysis, height was positively associated with aggressive-prostate-cancer risk: OR = 1.07 (1.01–1.15; P = 0.03). Conclusions The results for physical activity, serum iron, BMI, monounsaturated fat and height are compatible with causality for prostate cancer. The results suggest that interventions aimed at increasing physical activity may reduce prostate-cancer risk, although interventions to change other risk factors may have negative consequences on other diseases.


2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Audrey Blanc-Lapierre ◽  
Andrea Spence ◽  
Pierre I. Karakiewicz ◽  
Armen Aprikian ◽  
Fred Saad ◽  
...  

2013 ◽  
Vol 16 (2) ◽  
pp. 181-186 ◽  
Author(s):  
Y R Lawrence ◽  
O Morag ◽  
M Benderly ◽  
V Boyko ◽  
I Novikov ◽  
...  

2019 ◽  
Author(s):  
Nabila Kazmi ◽  
Philip Haycock ◽  
Konstantinos Tsilidis ◽  
Brigid M. Lynch ◽  
Therese Truong ◽  
...  

SummaryBackgroundProstate cancer is the second most common male cancer worldwide, but there is substantial geographical variation suggesting a potential role for modifiable risk factors in prostate carcinogenesis.MethodsWe identified previously reported prostate cancer risk factors from the World Cancer Research Fund’s (WCRF) systematic appraisal of the global evidence (2018). We assessed whether each identified risk factor was causally associated with risk of overall (79,148 cases and 61,106 controls) or aggressive (15,167 cases and 58,308 controls) prostate cancer using Mendelian randomization (MR) based on genome wide association study (GWAS) summary statistics from the PRACTICAL and GAME-ON/ELLIPSE consortia. We assessed evidence for replication in UK Biobank (7,844 prostate cancer cases and 204,001 controls).FindingsWCRF identified 57 potential risk factors, of which 22 could be instrumented for MR analyses using single nucleotide polymorphisms (SNPs). In MR analyses for overall prostate cancer, we identified evidence compatible with causality for the following risk factors (odds ratio [OR] per standard deviation increase; 95% confidence interval): accelerometer-measured physical-activity, OR=0.49 (0.33-0.72; p=0.0003); serum iron, OR=0.92 (0.86-0.98; p=0.007); body mass index (BMI), OR=0.90 (0.84-0.97; p=0.003); and mono-unsaturated fat, OR=1.11 (1.02-1.20; p=0.02). Findings in our replication analyses in UK Biobank were compatible with our main analyses (albeit with wide confidence intervals). In MR analysis, height was positively associated with aggressive prostate cancer risk: OR=1.07 (1.01-1.15; p=0.03).InterpretationThe results for physical-activity, serum iron, BMI, mono-unsaturated fat and height are compatible with causality for prostate cancer but more research is needed to rule out violations of MR assumptions for some risk factors. The results suggest that interventions aimed at increasing physical activity may reduce prostate cancer risk, but the direction of effects of BMI, and iron are at odds with their effects on other diseases, so the overall public health impact of intervening on these need to be considered.FundingWorld Cancer Research Fund International (2015/1421), Cancer Research UK program grant (C18281/A19169), National Institute for Health Research, Bristol Biomedical Research Centre, and Victorian Cancer Agency (MCRF18005).


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 67-67
Author(s):  
Niedzica Camacho ◽  
Athena Matakidou

67 Background: Germline mutations in DNA Damage Response (DDR) genes such as BRCA2 and ATM have been associated with prostate cancer risk and aggressiveness. These associations are largely based on studies that ascertain for cancer diagnosis and family history and provide risk estimates with limited population-level accuracy. Here we evaluate the clinical significance of germline pathogenic variants in 20 DDR genes and a high-risk susceptibility coding variant in HOXB13 using whole exome sequences from (1) the UK Biobank (UKBB), a population-based cohort (300,000 participants) and (2) patients recruited in AZ clinical trials. Methods: Whole exomes from 6,987 prostate cancer patients (5,921 UKBB and 1,066 AZ) and 88,499 cancer-free males were analysed. Known and novel pathogenic variants were identified and associations with disease risk, age of onset, family history, response to hormonal therapy and overall survival were estimated (multiplicity corrected P value < 0.005). Results: HOXB13 G48E (1.36%), ATM (1.03%) and BRCA2 (0.99%) were the largest contributors to prostate cancer risk, each conferring an increase of ~4-fold, followed by CHEK2 with a moderate contribution (0.46%). No significant contributions to prostate cancer risk were observed for any of the other genes analysed. Family history of prostate cancer was not significantly enriched in any of the gene subpopulations of prostate cancer carriers and compared with non-carriers, there was no significant difference in the median age of disease onset. Analysis of clinical outcomes showed that BRCA2 carriers had a 4-fold increased risk of death (Cox PH HR p = 4.11E-12) and poorer overall survival (Log-Rank p = 4.60E-14), with 88% dying from prostate cancer compared to 49% of non- BRCA2 carriers (UKBB analysis). BRCA2 pathogenic mutations were also associated with early failure to hormonal therapy (Cox PH HR 2.38; p = 9.48E-04; AZ cohort analysis). HOXB13, ATM and CHEK2 mutations were not significantly associated with clinical outcomes. Conclusions: This is the largest study to date providing population-based estimates of prostate cancer risk and prognosis, highlighting BRCA2 carriers as a population in clinical need of early identification and targeted intervention. Updated analyses with data from the full 450,000 UKBB participants (9,000 prostate cancers) will be presented.


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