28 March 2019 In Cancer

BACKGROUND: Although cancer has become one of the leading health burdens, to the authors' knowledge, evidence regarding its relationship with a healthy lifestyle in the Chinese population remains limited.

METHODS: The authors evaluated the association between clustering of healthy lifestyle factors and cancer risk using 3 prospective cohort studies with 101,208 Chinese adults from the general population. Hazard ratios (HRs) and corresponding 95% confidential intervals (95% CIs) related to healthy lifestyle factors were calculated using Cox proportional hazard models, and population-attributable risk percentages were estimated further.

RESULTS: The results demonstrated that each additional healthy lifestyle factor was associated with a 6% (range, 3%-9%) lower risk of overall cancer. Compared with having none to 3 healthy lifestyle factors, HRs related to adherence to all 6 healthy lifestyle factors were 0.78 (95% CI, 0.60-1.02) and 0.82 (95% CI, 0.67-1.00), respectively, for men and women. It was estimated that approximately 18.4% and 2.3%, respectively, of overall cancer cases for men and women were attributable to nonadherence to all 6 healthy lifestyle factors.

CONCLUSIONS: The results of the current study indicate that adherence to clustering of healthy lifestyle factors was associated with a reduced risk of cancer incidence among Chinese adults. Greater efforts urgently are needed to promote the adoption of multiple healthy lifestyle behaviors to reduce the increasing burden of cancer.

26 February 2019 In Cancer

PURPOSE: Breast cancer (BC) risk prediction allows systematic identification of individuals at highest and lowest risk. We extend the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk model to incorporate the effects of polygenic risk scores (PRS) and other risk factors (RFs).

METHODS: BOADICEA incorporates the effects of truncating variants in BRCA1, BRCA2, PALB2, CHEK2, and ATM; a PRS based on 313 single-nucleotide polymorphisms (SNPs) explaining 20% of BC polygenic variance; a residual polygenic component accounting for other genetic/familial effects; known lifestyle/hormonal/reproductive RFs; and mammographic density, while allowing for missing information.

RESULTS: Among all factors considered, the predicted UK BC risk distribution is widest for the PRS, followed by mammographic density. The highest BC risk stratification is achieved when all genetic and lifestyle/hormonal/reproductive/anthropomorphic factors are considered jointly. With all factors, the predicted lifetime risks for women in the UK population vary from 2.8% for the 1st percentile to 30.6% for the 99th percentile, with 14.7% of women predicted to have a lifetime risk of >/=17-<30% (moderate risk according to National Institute for Health and Care Excellence [NICE] guidelines) and 1.1% a lifetime risk of >/=30% (high risk).

CONCLUSION: This comprehensive model should enable high levels of BC risk stratification in the general population and women with family history, and facilitate individualized, informed decision-making on prevention therapies and screening.

26 February 2019 In Cancer

Background and aims: Cancer has emerged as the leading cause of death in human populations. The contribution of alcohol has been highly suspected. The purpose of this paper was to analyze the time trend of digestive cancers in Romania, in terms of mortality rates (1955-2012), and incidence rates (2008-2012), and the alcohol consumption data (1961-2010), aiming to find out if there is any association.

Methods: The data on six more common digestive cancers mortality rates (1955-2012) and incidence rates (2008-2012) were obtained from the historical and recent country statistics and publications of International Agency for Research on Cancer (IARC)/World Health Organisation (WHO), as age-standardized rate expressed per 100,000 population (ASRw). Data on alcohol consumption were obtained from the statistics and publications of WHO and United European Gastroenterology (UEG), as liters of pure alcohol/year. Results: Between 1955-2012, the ASRw of mortality registered an increase of the cancers of the esophagus in M (from 2.03 to 3.90), and of colorectal cancer in both sexes (from 4.65 to 18.20 in M, and from 4.57 to 9.70 in F). Between 1980-2012, an increasing trend of mortality was registered, in both sexes, for the cancers of the pancreas (from 5.50 to 9.30 in M and from 2.92 to 5.10 in F) and liver (from 1.77 to 11.00, in M, and from 0.83 to 4.20 in F). In terms of incidence, between 2008-20012, an increasing trend of ASRw was registered for the cancers of the esophagus in M (from 3.90 to 4.30), gastric cancer in M (from 15.90 to 16.30), colorectal cancer in both sexes (from 27.60 to 34.50 in M and from 19.00 to 20.20 in F), pancreatic cancer in F (form 5.20 to 5.90), and liver cancer in M (from 8.10 to 9.20). Alcohol consumption per capita (liters pure alcohol/year) increased in the same period, from an average of 5 in 1961, to 12.8 in 2003-2005, and to 14.4 in 2008-2010.

Conclusions: Given the parallel increase of some digestive cancers and alcohol consumption registered in our area, alcohol could represent more than a coincidence.

26 February 2019 In Cancer

BACKGROUND: We aimed to understand the factors shaping alcohol consumption patterns in middle-aged women (45-64), and to identify participant-driven population- and policy-level strategies that may be used to addresses alcohol consumption and reduce breast cancer risk.

METHODS: Semi-structured interviews (n = 35) were conducted with 'middle-aged' women conversant in English and living in South Australia with no history of breast cancer diagnosis. Data were deductively coded using a co-developed framework including variables relevant to our study objectives. Women were asked about their current level of awareness of the association between alcohol and breast cancer risk, and their personal recommendations for how to decrease consumption in middle-aged Australian women.

RESULTS: Women discussed their previous efforts to decrease consumption, which we drew on to identify preliminary recommendations for consumption reduction. We identified a low level of awareness of alcohol and breast cancer risk, and confusion related to alcohol as a risk for breast cancer, but not always causing breast cancer. Participants suggested that education and awareness, through various means, may help to reduce consumption.

CONCLUSIONS: Participants' description of strategies used to reduce their own consumption lead us to suggest that campaigns might focus on the more salient and immediate effects of alcohol (e.g. on physical appearance and mental health) rather than longer-term consequences. Critical considerations for messaging include addressing the personal, physical and social pleasures that alcohol provides, and how these may differ across socio-demographics.

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