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Aims: Observational reports suggest extended dialysis hours are associated with improved outcomes. These findings are confounded by better prognostic characteristics among people practising extended hours. The aim of this article is to provide an overview of the methods and baseline characteristics for ACTIVE Dialysis Study participants., Methods: This multicentre, randomized, open-label, blinded endpoint-assessment trial randomized participants receiving maintenance haemodialysis therapy to either extended (≥24 h) or standard (12-18 h) weekly haemodialysis for 12 months. A web-based randomization system used minimization to ensure balanced allocation across regions, dialysis setting and dialysis vintage. The primary outcome is the change in quality of life over 12 months of study treatment assessed by EQ-5D. Secondary outcomes include change in left ventricular mass index assessed by magnetic resonance imaging and safety outcomes including dialysis access events., Results: A total of 200 participants were recruited between 2009 and 2013 from Australia (29.0%), China (62.0%), Canada (5.5%) and New Zealand (3.5%). Participants had a mean age of 52 (± 12) years and 11.5% were dialysing at home, with a mean duration of 13.9 h per week over a median of three sessions. At baseline, 32.5% had a history of cardiovascular disease and 36.5% had diabetes., Conclusion: The ACTIVE Dialysis Study has met its planned recruitment target. The participant population are drawn from a range of health service settings in a global context. The study will contribute important evidence on the benefits and harms of extending weekly dialysis hours. The trial is registered at clinicaltrials.gov (NCT00649298)., (© 2014 Asian Pacific Society of Nephrology.)

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Previous studies by us and others have shown a significantly higher level of aromatic DNA adducts in normal adjacent breast tissue samples obtained from breast cancer patients than in those obtained from non-cancerous controls. The increased amount of DNA damage could be related to excess environmental carcinogen exposure and/or genetic susceptibility to such exposure. In the current study, we investigated the relationship between the levels of aromatic DNA adducts in breast tissues and polymorphisms of the drug-metabolizing genes cytochrome P4501A1 (CYP1A1), N-acetyltransferase-2 (NAT2), and glutathione S-transferase M1 (GSTM1), in 166 women having breast cancer. DNA adducts were measured using 32P-postlabeling and information on smoking status was obtained from medical records. When pooled data of smokers and non-smokers were analyzed by multiple regression analyses, no significant correlation was found between the level of total DNA adducts and age, race, or polymorphisms of CYP1A1, GSTM1, and NAT2. The only significant predictor of the level of DNA adducts in breast tissues was smoking (P = 0.008). When data were analyzed separately in smokers and non-smokers, however, a significant gene–environment interaction was observed. Smokers with CYP1A1*1/*2 or *2/*2 genotypes had a significantly higher level of DNA adducts than those with the CYP1A1*1/*1 genotype. This effect was not seen among non-smokers. There was also a gene–gene interaction, as smokers with combined CYP1A1*1/*2 or CYP1A1*2/*2 genotypes and GSTM1 null had a much higher level of adducts than those with either CYP1A1 or GSTM1 polymorphism. Genetic polymorphisms of CYP1A1 and NAT2 were also significantly correlated with the frequency of certain types of DNA adducts. For example, a bulky benzo[a]pyrene (B[a]P)-like adduct was detected in 26% of the samples, the presence of which was not related to age, race, smoking status, or GSTM1 and NAT2 genotype. However, a significantly higher frequency of the B[a[P-like adduct was found in individuals having CYP1A1*1/*2 or *2/*2 genotypes than in those having the *1/*1 genotype (P = 0.04). In addition, individuals having slow NAT2 alleles had a significantly higher frequency of the typical smoking-related DNA adduct pattern, i.e. a diagonal radioactive zone (DRZ), than others did (P = 0.008). These findings suggest that polymorphisms of CYP1A1, GSTM1, and NAT2 significantly affect either the frequency or the level of DNA adducts in normal breast tissues of women having breast cancer, especially in smokers. Further large-scale studies are required to determine the exact role of these polymorphisms and types of DNA damage in breast cancer susceptibility. [ABSTRACT FROM PUBLISHER]