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1.
PLoS One ; 13(6): e0199122, 2018.
Article in English | MEDLINE | ID: mdl-29920533

ABSTRACT

INTRODUCTION: The prostate-specific antigen (PSA) based prostate cancer (PC) screening is currently being debated. The current assessment is to understand the variability of detecting high-risk PC in a NZ cohort in comparison to a US cohort with better PSA screening facilities. Aldo-keto reductase 1C3 (AKR1C3) is known for multiple functions with a potential to regulate subsequent PSA levels. Therefore, we wish to understand the influence of tobacco smoking and the AKR1C3 rs12529 gene polymorphism in this variability. METHOD: NZ cohort (n = 376) consisted of 94% Caucasians while the US cohort consisted of African Americans (AA), n = 202, and European Americans (EA), n = 232. PSA level, PC grade and stage at diagnosis were collected from hospital databases for assigning high-risk PC status. Tobacco smoking status and the AKR1C3 rs12529 SNP genotype were considered as confounding variables. Variation of the cumulative % high-risk PC (outcome variable) with increasing PSA intervals (exposure factor) was compared between the cohorts using the Kolmogorov-Smirnov test. Comparisons were carried out with and without stratifications made using confounding variables. RESULTS: NZ cohort has been diagnosed at a significantly higher mean age (66.67± (8.08) y) compared to both AA (62.65±8.17y) and EA (64.83+8.56y); median PSA (NZ 8.90ng/ml compared to AA 6.86ng/ml and EA 5.80ng/ml); and Gleason sum (NZ (7) compared EA (6)) (p<0.05). The cumulative % high-risk PC detection shows NZ cohort with a significantly lower diagnosis rates at PSA levels between >6 - <10ng/ml compared to both US groups (p<0.05). These were further compounded significantly by smoking status and genetics. CONCLUSIONS: High-risk PCs recorded at higher PSA levels in NZ could be due to factors including lower levels of PSA screening and subsequent specialist referrals for biopsies. These consequences could be pronounced among NZ ever smokers carrying the AKR1C3 rs12529 G alleles making them a group that requires increased PSA screening attention.


Subject(s)
Adenocarcinoma/genetics , Aldo-Keto Reductase Family 1 Member C3/genetics , Early Detection of Cancer , Genetic Variation , Neoplasm Proteins/genetics , Polymorphism, Single Nucleotide , Prostatic Neoplasms/genetics , Smoking/metabolism , Activation, Metabolic/genetics , Adenocarcinoma/blood , Adenocarcinoma/enzymology , Adenocarcinoma/ethnology , Black or African American , Aged , Delayed Diagnosis , Europe/ethnology , Gene Expression Regulation, Neoplastic , Humans , Male , Middle Aged , New Zealand , Prostate-Specific Antigen/biosynthesis , Prostate-Specific Antigen/genetics , Prostatic Neoplasms/blood , Prostatic Neoplasms/enzymology , Prostatic Neoplasms/ethnology , Risk , Smoking/epidemiology , Smoking/genetics , Social Determinants of Health , United States , White People
2.
PeerJ ; 4: e1731, 2016.
Article in English | MEDLINE | ID: mdl-26966665

ABSTRACT

Background. Prostate cancer makes up approximately 15% of all cancers diagnosed in men in developed nations and approximately 4% of cases in developing nations. Although it is clear that prostate cancer has a genetic component and single nucleotide polymorphisms (SNPs) can contribute to prostate cancer risk, detecting associations is difficult in multi-factorial diseases, as environmental and lifestyle factors also play a role. In this study, specific clinical characteristics, environmental factors and genetic risk factors were assessed for interaction with prostate cancer. Methods. A total of 489 prostate cancer cases and 427 healthy controls were genotyped for SNPs found on chromosome 8q24 and a genetic risk score was calculated. In addition the SNPs were tested for an association with a number of clinical and environmental factors. Results. Age and tobacco use were positively associated, whilst alcohol consumption was negatively associated with prostate cancer risk. The following SNPs found on chromosome 8q24 were statistically significantly associated with prostate cancer: rs10086908, rs16901979; rs1447295and rs4242382. No association between Gleason score and smoking status, or between Gleason score and genotype were detected. Conclusion. A genetic risk score was calculated based on the 15 SNPs tested and found to be significantly associated with prostate cancer risk. Smoking significantly contributed to the risk of developing prostate cancer, and this risk was further increased by the presence of four SNPs in the 8q24 chromosomal region.

3.
BJU Int ; 106(1): 96-101, 2010 Jul.
Article in English | MEDLINE | ID: mdl-19891663

ABSTRACT

STUDY TYPE: Symptom prevalence (retrospective cohort) Level of Evidence 2b. OBJECTIVE: To determine the incidence of acute presentation of urinary calculi (UC) in Auckland, New Zealand, during the period 1999-2007, and whether there was any significant seasonal variation. PATIENTS AND METHODS: The details of all UC within the population presenting acutely to public hospitals in Auckland between 1999 and 2007 were collected using clinical coding searches International Classification of Disease 10th revision (Australian Modification) N132 and N20. Climatic variables for the Auckland region were obtained from the National Institute of Water and Atmospheric Research, New Zealand. The mean atmospheric temperature, hours of sunshine and humidity data were calculated monthly for this period. RESULTS: During the study there were 7668 acute presentations of UC in the Auckland region. A Poisson regression model showed that the number of presentations was significantly related to temperature (P < 0.001) and hours of sunshine (P = 0.004) but not humidity (P = 0.14). For each degree increase in temperature the number of presentations increased by 2.8% (95% confidence interval 1.3-4.3%). For each 1-h increase in sunshine, the number of presentations increased by 0.2% (0.06-0.33)%. CONCLUSION: The acute presentation of UC in Auckland, New Zealand, varies significantly with temperature and hours of sunshine. Humidity was not a significant factor.


Subject(s)
Seasons , Urinary Calculi/epidemiology , Acute Disease , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , New Zealand/epidemiology , Poisson Distribution , Young Adult
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