Effects of Radiation and Lifestyle Factors on Risks of Urothelial Carcinoma in the Life Span Study of Atomic Bomb Survivors

Grant, Eric J.; Ozasa, Kotaro; Preston, Dale L.; Suyama, Akihiko; Shimizu, Yukiko; Sakata, Ritsu; Sugiyama, Hiromi; Pham, Truong-Minh; Cologne, John; Yamada, Michiko; Roos, Anneclaire J. De; Kopecky, Kenneth J.; Porter, Michael P.; Seixas, Noah S.; Davis, Scott

doi:10.1667/rr2841.1

Cited by 24 publications

(23 citation statements)

References 38 publications

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“…The study by Sacerdote et al (2007) provided two categories of exposure and was thus not included. The other 11 studies were excluded because of lack of data on person-time (Shibata et al, 1992;George et al, 2009;Grant et al, 2012), the dose (g/day) of each category (Riboli et al, 1991;La Vecchia et al, 1999;Wakai et al, 2004;Wu et al, 2012;Isa et al, 2013;Park et al, 2013) and noncases or total cases of each category (Wakai et al, 2000;Aune et al, 2009). We found a decreased bladder cancer risk of 8% for every 200 g/day increment in vegetable consumption (RR = 0.92; 95% CI: 0.87-0.97; Fig.…”

Section: Dose-response Analysismentioning

confidence: 77%

“…Ten cohort (Shibata et al, 1992;Michaud et al, 1999Michaud et al, , 2002Zeegers et al, 2001;Holick et al, 2005;Larsson et al, 2008;George et al, 2009;Grant et al, 2012;Ros et al, 2012;Park et al, 2013) and 14 case-control studies (Riboli et al, 1991;Bruemmer et al, 1996;Yu et al, 1997;La Vecchia et al, 1999;Wakai et al, 2000Wakai et al, , 2004Kellen et al, 2006;García-Closas et al, 2007;Sacerdote et al, 2007;Tang et al, 2008;Aune et al, 2009;Lin et al, 2009;Wu et al, 2012;Isa et al, 2013) investigated the association between vegetable intake and bladder cancer risk. The SRR for the highest versus lowest vegetable consumption was 0.84 (95% CI: 0.72-0.96; P = 0.0, I 2 = 76.3%; Fig.…”

Section: Total Vegetable Intake High Versus Low Analysesmentioning

confidence: 99%

“…Two studies provided fewer than three categories of exposure (Pohlabeln et al, 1999;Sacerdote et al, 2007) and three studies lacked data on person-time (Shibata et al, 1992;George et al, 2009;Grant et al, 2012), and thus were excluded. The other eight studies were also excluded for lack of data on dose or total cases (La Vecchia et al, 1999;Wakai et al, 2000Wakai et al, , 2004Riboli and Norat, 2003;Aune et al, 2009;Wu et al, 2012;Isa et al, 2013;Park et al, 2013).…”

Section: Dose-response Analysismentioning

confidence: 99%

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Fruit and vegetable consumption and risk of bladder cancer

Liu

Wang

et al. 2015

European Journal of Cancer Prevention

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This meta-analysis was conducted to assess the association between fruit and vegetable intake and bladder cancer risk. Eligible studies published up to August 2014 were retrieved both through a computer search of PubMed, Embase and the Cochrane library and through a manual review of references. The summary relative risks with 95% confidence intervals (CIs) for the highest versus the lowest intakes of fruits and vegetables were calculated with random-effects models. Heterogeneity and publication bias were also evaluated. Potential sources of heterogeneity were detected with metaregression. Subgroup analyses and sensitivity analyses were also performed. A total of 27 studies (12 cohort and 15 case-control studies) were included in this meta-analysis. The summary relative risks for the highest versus lowest were 0.84 (95% CI: 0.72-0.96) for vegetable intake and 0.81 (95% CI: 0.73-0.89) for fruit intake. The dose-response analysis showed that the risk of bladder cancer decreased by 8% (relative risk=0.92; 95% CI: 0.87-0.97) and 9% (relative risk=0.91; 95% CI: 0.83-0.99) for every 200 g/day increment in vegetable and fruit consumption, respectively. Sensitivity analysis confirmed the stability of the results. Our findings suggest that intake of vegetables and fruits may significantly reduce the risk of bladder cancer. Further well-designed prospective studies are warranted to confirm these findings.

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Section: Dose-response Analysismentioning

confidence: 77%

Section: Total Vegetable Intake High Versus Low Analysesmentioning

confidence: 99%

Section: Dose-response Analysismentioning

confidence: 99%

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Fruit and vegetable consumption and risk of bladder cancer

Liu

Wang

et al. 2015

European Journal of Cancer Prevention

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“…12 Ten studies met the criteria: the Japan Public Health Center-based Prospective study (JPHC-I and -II), 13 the Japan Collaborative Cohort Study (JACC), 14 the Miyagi Cohort Study (MIYAGI-I), 15 the Three-Prefecture Cohort Study in Miyagi (MIYAGI-II), 16 the Three-Prefecture Cohort Study in Aichi (AICHI), 16 the Three-Prefecture Cohort Study in Osaka (Osaka), 16 the Takayama Study (TAKAYAMA), 17 the Ohsaki Cohort Study (OHSAKI) 18 and the Life-Span study (LSS). 19 The selected characteristics of each study are shown in eTable 1. Participants with a past history of any cancer at baseline, with missing information on alcohol consumption or smoking, and with exposure to radiation of atomic bomb of equal to or more than 100 mGy (for LSS) were excluded.…”

Section: Participantsmentioning

confidence: 99%

Alcohol Drinking and Bladder Cancer Risk From a Pooled Analysis of Ten Cohort Studies in Japan

Masaoka

Matsuo

Oze

et al. 2020

Journal of Epidemiology

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“…It is true that A-T is a rare disease with a frequency of ~1/40,000, but heterozygous carriers are hardly rare, with a frequency of ~1/100 (Watts et al 2002). In addition, lifestyle factors, such as weight (Ector et al 2007), diet (Sauvaget et al 2004;Cardis et al 2005), drug (Wardman 2007), smoking (Furukawa et al 2010;Grant et al 2012), pregnancy (Land et al 1994), and childbirth (Land et al 1994), can also modify the adverse effects induced by exposure to radiation. To estimate individual radiation risk precisely, we should consider not only the delivered dose but, at a minimum, these non-genomic risk factors.…”

Section: Concept Of Personalized Dose and Personalized Risk Indexmentioning

confidence: 99%

Precision Radiotherapy and Radiation Risk Assessment: How Do We Overcome Radiogenomic Diversity?

Fukunaga

Yokoya

Taki

et al. 2019

Tohoku J. Exp. Med.

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Precision medicine is a rapidly developing area that aims to deliver targeted therapies based on individual patient characteristics. However, current radiation treatment is not yet personalized; consequently, there is a critical need for specific patient characteristics of both tumor and normal tissues to be fully incorporated into dose prescription. Furthermore, current risk assessment following environmental, occupational, or accidental exposures to radiation is based on population effects, and does not account for individual diversity underpinning radiosensitivity. The lack of personalized approaches in both radiotherapy and radiation risk assessment resulted in the current situation where a population-based model, effective dose, is being used. In this review article, to stimulate scientific discussion for precision medicine in both radiotherapy and radiation risk assessment, we propose a novel radiological concept and metric-the personalized dose and the personalized risk index-that incorporate individual physiological, lifestylerelated and genomic variations and radiosensitivity, outlining the potential clinical application for precision medicine. We also review on recent progress in both genomics and biobanking research, which is promising for providing novel insights into individual radiosensitivity, and for creating a novel conceptual framework of precision radiotherapy and radiation risk assessment.

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Effects of Radiation and Lifestyle Factors on Risks of Urothelial Carcinoma in the Life Span Study of Atomic Bomb Survivors

Cited by 24 publications

References 38 publications

Fruit and vegetable consumption and risk of bladder cancer

Fruit and vegetable consumption and risk of bladder cancer

Alcohol Drinking and Bladder Cancer Risk From a Pooled Analysis of Ten Cohort Studies in Japan

Precision Radiotherapy and Radiation Risk Assessment: How Do We Overcome Radiogenomic Diversity?

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