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1. A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study

Author

Yu, Evan YW, Wesselius, Anke, Sinhart, Christoph, Wolk, Alicja, Stern, Mariana Carla, Jiang, Xuejuan, Tang, Li, Marshall, James, Kellen, Eliane, van den Brandt, Piet, Lu, Chih-Ming, Pohlabeln, Hermann, Steineck, Gunnar, Allam, Mohamed Farouk, Karagas, Margaret R, La Vecchia, Carlo, Porru, Stefano, Carta, Angela, Golka, Klaus, Johnson, Kenneth C, Benhamou, Simone, Zhang, Zuo-Feng, Bosetti, Cristina, Taylor, Jack A, Weiderpass, Elisabete, Grant, Eric J, White, Emily, Polesel, Jerry, and Zeegers, Maurice PA

Subjects
Cancer, Nutrition, Prevention, Urologic Diseases, Prevention of disease and conditions, and promotion of well-being, 3.3 Nutrition and chemoprevention, Stroke, Cardiovascular, Algorithms, Case-Control Studies, Data Mining, Diet, Female, Food, Humans, Incidence, Internationality, Male, Risk Factors, Urinary Bladder Neoplasms, Bladder cancer, Data mining, Food groups, Epidemiological studies, Animal Production, Food Sciences, Nutrition and Dietetics, Nutrition & Dietetics
Abstract

At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limitations of the study of nutrients and foods in isolation. This article aims to demonstrate the usability of supervised data mining methods to extract the food groups related to BC. In order to derive key food groups associated with BC risk, we applied the data mining technique C5.0 with 10-fold cross-validation in the BLadder cancer Epidemiology and Nutritional Determinants study, including data from eighteen case-control and one nested case-cohort study, compromising 8320 BC cases out of 31 551 participants. Dietary data, on the eleven main food groups of the Eurocode 2 Core classification codebook, and relevant non-diet data (i.e. sex, age and smoking status) were available. Primarily, five key food groups were extracted; in order of importance, beverages (non-milk); grains and grain products; vegetables and vegetable products; fats, oils and their products; meats and meat products were associated with BC risk. Since these food groups are corresponded with previously proposed BC-related dietary factors, data mining seems to be a promising technique in the field of nutritional epidemiology and deserves further examination.

Published
2020

4. International pooled study on diet and bladder cancer: the bladder cancer, epidemiology and nutritional determinants (BLEND) study: design and baseline characteristics

Author

Goossens, Maria E, Isa, Fatima, Brinkman, Maree, Mak, David, Reulen, Raoul, Wesselius, Anke, Benhamou, Simone, Bosetti, Cristina, Bueno-de-Mesquita, Bas, Carta, Angela, Allam, Md Farouk, Golka, Klaus, Grant, Eric J, Jiang, Xuejuan, Johnson, Kenneth C, Karagas, Margaret R, Kellen, Eliane, La Vecchia, Carlo, Lu, Chih-Ming, Marshall, James, Moysich, Kirsten, Pohlabeln, Hermann, Porru, Stefano, Steineck, Gunnar, Stern, Marianne C, Tang, Li, Taylor, Jack A, van den Brandt, Piet, Villeneuve, Paul J, Wakai, Kenji, Weiderpass, Elisabete, White, Emily, Wolk, Alicja, Zhang, Zuo-Feng, Buntinx, Frank, and Zeegers, Maurice P

Subjects
Public Health, Health Sciences, Cancer, Nutrition, Prevention, Urologic Diseases, Aetiology, 2.2 Factors relating to the physical environment, Bladder cancer, Diet, Risk, Pooled analysis, Public Health and Health Services, Epidemiology, Midwifery, Public health
Abstract

BackgroundIn 2012, more than 400,000 urinary bladder cancer cases occurred worldwide, making it the 7(th) most common type of cancer. Although many previous studies focused on the relationship between diet and bladder cancer, the evidence related to specific food items or nutrients that could be involved in the development of bladder cancer remains inconclusive. Dietary components can either be, or be activated into, potential carcinogens through metabolism, or act to prevent carcinogen damage.Methods/designThe BLadder cancer, Epidemiology and Nutritional Determinants (BLEND) study was set up with the purpose of collecting individual patient data from observational studies on diet and bladder cancer. In total, data from 11,261 bladder cancer cases and 675,532 non-cases from 18 case-control and 6 cohort studies from all over the world were included with the aim to investigate the association between individual food items, nutrients and dietary patterns and risk of developing bladder cancer.DiscussionThe substantial number of cases included in this study will enable us to provide evidence with large statistical power, for dietary recommendations on the prevention of bladder cancer.

Published
2016

5. Vegetable intake and the risk of bladder cancer in the BLadder Cancer Epidemiology and Nutritional Determinants (BLEND) international study

Author

Yu, Evan Yi-Wen, Wesselius, Anke, Mehrkanoon, Siamak, Goosens, Mieke, Brinkman, Maree, van den Brandt, Piet, Grant, Eric J., White, Emily, Weiderpass, Elisabete, Le Calvez-Kelm, Florence, Gunter, Marc J., Huybrechts, Inge, Riboli, Elio, Tjonneland, Anne, Masala, Giovanna, Giles, Graham G., Milne, Roger L., and Zeegers, Maurice P.

Published
2021
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12. Supplementary Figure from Anthropometric Risk Factors for Cancers of the Biliary Tract in the Biliary Tract Cancers Pooling Project

Author

Jackson, Sarah S., primary, Van Dyke, Alison L., primary, Zhu, Bin, primary, Pfeiffer, Ruth M., primary, Petrick, Jessica L., primary, Adami, Hans-Olov, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Beane Freeman, Laura E., primary, Berrington de González, Amy, primary, Buring, Julie E., primary, Chan, Andrew T., primary, Chen, Yu, primary, Fraser, Gary E., primary, Freedman, Neal D., primary, Gao, Yu-Tang, primary, Gapstur, Susan M., primary, Gaziano, J. Michael, primary, Giles, Graham G., primary, Grant, Eric J., primary, Grodstein, Francine, primary, Hartge, Patricia, primary, Jenab, Mazda, primary, Kitahara, Cari M., primary, Knutsen, Synnove F., primary, Koh, Woon-Puay, primary, Larsson, Susanna C., primary, Lee, I-Min, primary, Liao, Linda M., primary, Luo, Juhua, primary, McGee, Emma E., primary, Milne, Roger L., primary, Monroe, Kristine R., primary, Neuhouser, Marian L., primary, O’Brien, Katie M., primary, Peters, Ulrike, primary, Poynter, Jenny N., primary, Purdue, Mark P., primary, Robien, Kim, primary, Sandler, Dale P., primary, Sawada, Norie, primary, Schairer, Catherine, primary, Sesso, Howard D., primary, Simon, Tracey G., primary, Sinha, Rashmi, primary, Stolzenberg-Solomon, Rachael Z., primary, Tsugane, Shoichiro, primary, Wang, Renwei, primary, Weiderpass, Elisabete, primary, Weinstein, Stephanie J., primary, White, Emily, primary, Wolk, Alicja, primary, Yuan, Jian-Min, primary, Zeleniuch-Jacquotte, Anne, primary, Zhang, Xuehong, primary, McGlynn, Katherine A., primary, Campbell, Peter T., primary, and Koshiol, Jill, primary

Published
2023
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13. Data from Anthropometric Risk Factors for Cancers of the Biliary Tract in the Biliary Tract Cancers Pooling Project

Author

Jackson, Sarah S., primary, Van Dyke, Alison L., primary, Zhu, Bin, primary, Pfeiffer, Ruth M., primary, Petrick, Jessica L., primary, Adami, Hans-Olov, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Beane Freeman, Laura E., primary, Berrington de González, Amy, primary, Buring, Julie E., primary, Chan, Andrew T., primary, Chen, Yu, primary, Fraser, Gary E., primary, Freedman, Neal D., primary, Gao, Yu-Tang, primary, Gapstur, Susan M., primary, Gaziano, J. Michael, primary, Giles, Graham G., primary, Grant, Eric J., primary, Grodstein, Francine, primary, Hartge, Patricia, primary, Jenab, Mazda, primary, Kitahara, Cari M., primary, Knutsen, Synnove F., primary, Koh, Woon-Puay, primary, Larsson, Susanna C., primary, Lee, I-Min, primary, Liao, Linda M., primary, Luo, Juhua, primary, McGee, Emma E., primary, Milne, Roger L., primary, Monroe, Kristine R., primary, Neuhouser, Marian L., primary, O’Brien, Katie M., primary, Peters, Ulrike, primary, Poynter, Jenny N., primary, Purdue, Mark P., primary, Robien, Kim, primary, Sandler, Dale P., primary, Sawada, Norie, primary, Schairer, Catherine, primary, Sesso, Howard D., primary, Simon, Tracey G., primary, Sinha, Rashmi, primary, Stolzenberg-Solomon, Rachael Z., primary, Tsugane, Shoichiro, primary, Wang, Renwei, primary, Weiderpass, Elisabete, primary, Weinstein, Stephanie J., primary, White, Emily, primary, Wolk, Alicja, primary, Yuan, Jian-Min, primary, Zeleniuch-Jacquotte, Anne, primary, Zhang, Xuehong, primary, McGlynn, Katherine A., primary, Campbell, Peter T., primary, and Koshiol, Jill, primary

Published
2023
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14. Supplementary Tables from Anthropometric Risk Factors for Cancers of the Biliary Tract in the Biliary Tract Cancers Pooling Project

Author

Jackson, Sarah S., primary, Van Dyke, Alison L., primary, Zhu, Bin, primary, Pfeiffer, Ruth M., primary, Petrick, Jessica L., primary, Adami, Hans-Olov, primary, Albanes, Demetrius, primary, Andreotti, Gabriella, primary, Beane Freeman, Laura E., primary, Berrington de González, Amy, primary, Buring, Julie E., primary, Chan, Andrew T., primary, Chen, Yu, primary, Fraser, Gary E., primary, Freedman, Neal D., primary, Gao, Yu-Tang, primary, Gapstur, Susan M., primary, Gaziano, J. Michael, primary, Giles, Graham G., primary, Grant, Eric J., primary, Grodstein, Francine, primary, Hartge, Patricia, primary, Jenab, Mazda, primary, Kitahara, Cari M., primary, Knutsen, Synnove F., primary, Koh, Woon-Puay, primary, Larsson, Susanna C., primary, Lee, I-Min, primary, Liao, Linda M., primary, Luo, Juhua, primary, McGee, Emma E., primary, Milne, Roger L., primary, Monroe, Kristine R., primary, Neuhouser, Marian L., primary, O’Brien, Katie M., primary, Peters, Ulrike, primary, Poynter, Jenny N., primary, Purdue, Mark P., primary, Robien, Kim, primary, Sandler, Dale P., primary, Sawada, Norie, primary, Schairer, Catherine, primary, Sesso, Howard D., primary, Simon, Tracey G., primary, Sinha, Rashmi, primary, Stolzenberg-Solomon, Rachael Z., primary, Tsugane, Shoichiro, primary, Wang, Renwei, primary, Weiderpass, Elisabete, primary, Weinstein, Stephanie J., primary, White, Emily, primary, Wolk, Alicja, primary, Yuan, Jian-Min, primary, Zeleniuch-Jacquotte, Anne, primary, Zhang, Xuehong, primary, McGlynn, Katherine A., primary, Campbell, Peter T., primary, and Koshiol, Jill, primary

Published
2023
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18. Skin Cancer Incidence among Atomic Bomb Survivors from 1958 to 1996

Author

Sugiyama, Hiromi, Misumi, Munechika, Kishikawa, Masao, Iseki, Masachika, Yonehara, Shuji, Hayashi, Tomayoshi, Soda, Midori, Tokuoka, Shoji, Shimizu, Yukiko, Sakata, Ritsu, Grant, Eric J., Kasagi, Fumiyoshi, Mabuchi, Kiyohiko, Suyama, Akihiko, and Ozasa, Kotaro

Published
2014

19. Meat intake and cause-specific mortality: a pooled analysis of Asian prospective cohort studies

Author

Lee, Jung Eun, McLerran, Dale F, Rolland, Betsy, Chen, Yu, Grant, Eric J, Vedanthan, Rajesh, Inoue, Manami, Tsugane, Shoichiro, Gao, Yu-Tang, Tsuji, Ichiro, Kakizaki, Masako, Ahsan, Habibul, Ahn, Yoon-Ok, Pan, Wen-Harn, Ozasa, Kotaro, Yoo, Keun-Young, Sasazuki, Shizuka, Yang, Gong, Watanabe, Takashi, Sugawara, Yumi, Parvez, Faruque, Kim, Dong-Hyun, Chuang, Shao-Yuan, Ohishi, Waka, Park, Sue K, Feng, Ziding, Thornquist, Mark, Boffetta, Paolo, Zheng, Wei, Kang, Daehee, Potter, John, and Sinha, Rashmi

Published
2013
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25. Age effects on radiation response: summary of a recent symposium and future perspectives

Author

Little, Mark P., primary, Brenner, Alina V., additional, Grant, Eric J., additional, Sugiyama, Hiromi, additional, Preston, Dale L., additional, Sakata, Ritsu, additional, Cologne, John, additional, Velazquez-Kronen, Raquel, additional, Utada, Mai, additional, Mabuchi, Kiyohiko, additional, Ozasa, Kotaro, additional, Olson, John D., additional, Dugan, Gregory O., additional, Pazzaglia, Simonetta, additional, Cline, J. Mark, additional, and Applegate, Kimberly E., additional

Published
2022
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26. Tea consumption and risk of bladder cancer in the Bladder Cancer Epidemiology and Nutritional Determinants (BLEND) Study: Pooled analysis of 12 international cohort studies

Author

Al-Zalabani, Abdulmohsen H., primary, Wesselius, Anke, additional, Yi-Wen Yu, Evan, additional, van den Brandt, Piet, additional, Grant, Eric J., additional, White, Emily, additional, Skeie, Guri, additional, Liedberg, Fredrik, additional, Weiderpass, Elisabete, additional, and Zeegers, Maurice P., additional

Published
2022
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31. Additional file 1 of Vegetable intake and the risk of bladder cancer in the BLadder Cancer Epidemiology and Nutritional Determinants (BLEND) international study

Author

Yu, Evan Yi-Wen, Wesselius, Anke, Siamak Mehrkanoon, Goosens, Mieke, Maree Brinkman, Brandt, Piet Van Den, Grant, Eric J., White, Emily, Weiderpass, Elisabete, Calvez-Kelm, Florence Le, Gunter, Marc J., Huybrechts, Inge, Riboli, Elio, Tjonneland, Anne, Masala, Giovanna, Giles, Graham G., Milne, Roger L., and Zeegers, Maurice P.

Abstract

Additional file 1: Tables S1–6 & Fig. S1. Table S1. Additional Baseline Characteristic of the Participant Cohort Studies. Table S2. The Categorisation of Subgroups of Vegetables in the Present Study. Table S3. Risk of Bladder Cancer According to Intake of Individual Types of Vegetable. Table S4. Risk of Bladder Cancer According to Intake of Total and Subgroup Vegetable (After Removing 350 Bladder Cancer Cases Diagnosed within 2 years). Table S5. Adjusted Hazard Ratios and 95% Confidence Intervals of Bladder Cancer According to Intake of Total and Non-starchy Vegetable Stratified by both Sex & Smoking Status based on Model 2. Table S6. Adjusted Hazard Ratios and 95% Confidence Intervals of Bladder Cancer According to Intake of Vegetable Stratified by Study Centre based on Model 2. Figure S1. Forest Plot of Meta-Analyses with HRs and 95% CIs for High vs. Low Intake of Total Vegetable with Bladder Cancer Risk A) Overall; B) Women; C) Men.

Published
2021
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32. A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study.

Author

Yu, Evan Y W, Wesselius, Anke, Sinhart, Christoph, Wolk, Alicja, Stern, Mariana Carla, Jiang, Xuejuan, Tang, Li, Marshall, James, Kellen, Eliane, van den Brandt, Piet, Lu, Chih-Ming, Pohlabeln, Hermann, Steineck, Gunnar, Allam, Mohamed Farouk, Karagas, Margaret R, La Vecchia, Carlo, Porru, Stefano, Carta, Angela, Golka, Klaus, Johnson, Kenneth C, Benhamou, Simone, Zhang, Zuo-Feng, Bosetti, Cristina, Taylor, Jack A, Weiderpass, Elisabete, Grant, Eric J, White, Emily, Polesel, Jerry, Zeegers, Maurice P A, Yu, Evan Y W, Wesselius, Anke, Sinhart, Christoph, Wolk, Alicja, Stern, Mariana Carla, Jiang, Xuejuan, Tang, Li, Marshall, James, Kellen, Eliane, van den Brandt, Piet, Lu, Chih-Ming, Pohlabeln, Hermann, Steineck, Gunnar, Allam, Mohamed Farouk, Karagas, Margaret R, La Vecchia, Carlo, Porru, Stefano, Carta, Angela, Golka, Klaus, Johnson, Kenneth C, Benhamou, Simone, Zhang, Zuo-Feng, Bosetti, Cristina, Taylor, Jack A, Weiderpass, Elisabete, Grant, Eric J, White, Emily, Polesel, Jerry, and Zeegers, Maurice P A

Abstract

At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limitations of the study of nutrients and foods in isolation. This article aims to demonstrate the usability of supervised data mining methods to extract the food groups related to BC. In order to derive key food groups associated with BC risk, we applied the data mining technique C5.0 with 10-fold cross-validation in the BLadder cancer Epidemiology and Nutritional Determinants study, including data from eighteen case-control and one nested case-cohort study, compromising 8320 BC cases out of 31 551 participants. Dietary data, on the eleven main food groups of the Eurocode 2 Core classification codebook, and relevant non-diet data (i.e. sex, age and smoking status) were available. Primarily, five key food groups were extracted; in order of importance, beverages (non-milk); grains and grain products; vegetables and vegetable products; fats, oils and their products; meats and meat products were associated with BC risk. Since these food groups are corresponded with previously proposed BC-related dietary factors, data mining seems to be a promising technique in the field of nutritional epidemiology and deserves further examination.

Published
2020
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33. A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study

Author

Yu, Evan Y. W., Yu, Evan Y. W., Wesselius, Anke, Sinhart, Christoph, Wolk, Alicja, Stern, Mariana Carla, Jiang, Xuejuan, Tang, Li, Marshall, James, Kellen, Eliane, van den Brandt, Piet, Lu, Chih-Ming, Pohlabeln, Hermann, Steineck, Gunnar, Allam, Mohamed Farouk, Karagas, Margaret R., La Vecchia, Carlo, Porru, Stefano, Carta, Angela, Golka, Klaus, Johnson, Kenneth C., Benhamou, Simone, Zhang, Zuo-Feng, Bosetti, Cristina, Taylor, Jack A., Weiderpass, Elisabete, Grant, Eric J., White, Emily, Polesel, Jerry, Zeegers, Maurice P. A., Yu, Evan Y. W., Yu, Evan Y. W., Wesselius, Anke, Sinhart, Christoph, Wolk, Alicja, Stern, Mariana Carla, Jiang, Xuejuan, Tang, Li, Marshall, James, Kellen, Eliane, van den Brandt, Piet, Lu, Chih-Ming, Pohlabeln, Hermann, Steineck, Gunnar, Allam, Mohamed Farouk, Karagas, Margaret R., La Vecchia, Carlo, Porru, Stefano, Carta, Angela, Golka, Klaus, Johnson, Kenneth C., Benhamou, Simone, Zhang, Zuo-Feng, Bosetti, Cristina, Taylor, Jack A., Weiderpass, Elisabete, Grant, Eric J., White, Emily, Polesel, Jerry, and Zeegers, Maurice P. A.

Abstract

At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limitations of the study of nutrients and foods in isolation. This article aims to demonstrate the usability of supervised data mining methods to extract the food groups related to BC. In order to derive key food groups associated with BC risk, we applied the data mining technique C5.0 with 10-fold cross-validation in the BLadder cancer Epidemiology and Nutritional Determinants study, including data from eighteen case-control and one nested case-cohort study, compromising 8320 BC cases out of 31 551 participants. Dietary data, on the eleven main food groups of the Eurocode 2 Core classification codebook, and relevant non-diet data (i.e. sex, age and smoking status) were available. Primarily, five key food groups were extracted; in order of importance, beverages (non-milk); grains and grain products; vegetables and vegetable products; fats, oils and their products; meats and meat products were associated with BC risk. Since these food groups are corresponded with previously proposed BC-related dietary factors, data mining seems to be a promising technique in the field of nutritional epidemiology and deserves further examination.

Published
2020

36. Radiation Risk of Ovarian Cancer in Atomic Bomb Survivors: 1958–2009

Author

Utada, Mai, primary, Brenner, Alina V., additional, Preston, Dale L., additional, Cologne, John B., additional, Sakata, Ritsu, additional, Sugiyama, Hiromi, additional, Kato, Naohiro, additional, Grant, Eric J., additional, Cahoon, Elizabeth K., additional, Mabuchi, Kiyohiko, additional, and Ozasa, Kotaro, additional

Published
2020
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40. The Establishment of the Household Air Pollution Consortium (HAPCO)

Author

Hosgood, H. Dean, Klugman, Madelyn, Matsuo, Keitaro, White, Alexandra J., Sadakane, Atsuko, Shu, Xiao-Ou, Lopez-Ridaura, Ruy, Shin, Aesun, Tsuji, Ichiro, Malekzadeh, Reza, Noisel, Nolwenn, Bhatti, Parveen, Yang, Gong, Saito, Eiko, Rahman, Shafiur, Hu, Wei, Bassig, Bryan, Downward, George, Vermeulen, Roel, Xue, Xiaonan, Rohan, Thomas, Abe, Sarah K., Broët, Philippe, Grant, Eric J., Dummer, Trevor J. B., Rothman, Nat, Inoue, Manami, Lajous, Martin, Yoo, Keun-Young, Ito, Hidemi, Sandler, Dale P., Ashan, Habib, Zheng, Wei, Boffetta, Paolo, Lan, Qing, One Health Chemisch, dIRAS RA-2, One Health Chemisch, dIRAS RA-2, Hosgood H.D., Klugman M., Matsuo K., White A.J., Sadakane A., Shu X.-O., Lopez-Ridaura R., Shin A., Tsuji I., Malekzadeh R., Noisel N., Bhatti P., Yang G., Saito E., Rahman S., Hu W., Bassig B., Downward G., Vermeulen R., Xue X., Rohan T., Abe S.K., Broet P., Grant E.J., Dummer T.J.B., Rothman N., Inoue M., Lajous M., Yoo K.-Y., Ito H., Sandler D.P., Ashan H., Zheng W., Boffetta P., and Lan Q.

Subjects
Pollution, Atmospheric Science, medicine.medical_specialty, media_common.quotation_subject, Air pollution, consortium, Environmental Science (miscellaneous), lcsh:QC851-999, medicine.disease_cause, Article, Human lung, 03 medical and health sciences, Bioma, 0302 clinical medicine, stomatognathic system, cohort studies, Environmental health, Epidemiology, medicine, pollution, cancer, 030212 general & internal medicine, Prospective cohort study, Lung cancer, media_common, 0303 health sciences, biomass, business.industry, Public health, 030311 toxicology, Environmental exposure, medicine.disease, 3. Good health, medicine.anatomical_structure, 13. Climate action, lcsh:Meteorology. Climatology, environmental exposures, business, Cohort studie, Cohort study
Abstract

Household air pollution (HAP) is of public health concern, with ~3 billion people worldwide (including >15 million in the US) exposed. HAP from coal use is a human lung carcinogen, yet the epidemiological evidence on carcinogenicity of HAP from biomass use, primarily wood, is not conclusive. To robustly assess biomass’s carcinogenic potential, prospective studies of individuals experiencing a variety of HAP exposures are needed. We have built a global consortium of 13 prospective cohorts (HAPCO: Household Air Pollution Consortium) that have site- and disease-specific mortality and solid fuel use data, for a combined sample size of 587,257 participants and 57,483 deaths. HAPCO provides a novel opportunity to assess the association of HAP with lung cancer death while controlling for important confounders such as tobacco and outdoor air pollution exposures. HAPCO is also uniquely positioned to determine the risks associated with cancers other than lung as well as nonmalignant respiratory and cardiometabolic outcomes, for which prospective epidemiologic research is limited. HAPCO will facilitate research to address public health concerns associated with HAP-attributed exposures by enabling investigators to evaluate sex-specific and smoking status-specific effects under various exposure scenarios.

Published
2019

41. Anthropometric Risk Factors for Cancers of the Biliary Tract in the Biliary Tract Cancers Pooling Project

Author

Jackson, Sarah S., Van Dyke, Alison L., Zhu, Bin, Pfeiffer, Ruth M., Petrick, Jessica L., Adami, Hans-Olov, Albanes, Demetrius, Andreotti, Gabriella, Freeman, Laura E. Beane, de Gonzalez, Amy Berrington, Buring, Julie E., Chan, Andrew T., Chen, Yu, Fraser, Gary E., Freedman, Neal D., Gao, Yu-Tang, Gapstur, Susan M., Gaziano, J. Michael, Giles, Graham G., Grant, Eric J., Grodstein, Francine, Hartge, Patricia, Jenab, Mazda, Kitahara, Cari M., Knutsen, Synnove F., Koh, Woon-Puay, Larsson, Susanna C., Lee, I-Min, Liao, Linda M., Luo, Juhua, McGee, Emma E., Milne, Roger L., Monroe, Kristine R., Neuhouser, Marian L., O'Brien, Katie M., Peters, Ulrike, Poynter, Jenny N., Purdue, Mark P., Robien, Kim, Sandler, Dale P., Sawada, Norie, Schairer, Catherine, Sesso, Howard D., Simon, Tracey G., Sinha, Rashmi, Stolzenberg-Solomon, Rachael Z., Tsugane, Shoichiro, Wang, Renwei, Weiderpass, Elisabete, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Yuan, Jian-Min, Zeleniuch-Jacquotte, Anne, Zhang, Xuehong, McGlynn, Katherine A., Campbell, Peter T., Koshiol, Jill, Jackson, Sarah S., Van Dyke, Alison L., Zhu, Bin, Pfeiffer, Ruth M., Petrick, Jessica L., Adami, Hans-Olov, Albanes, Demetrius, Andreotti, Gabriella, Freeman, Laura E. Beane, de Gonzalez, Amy Berrington, Buring, Julie E., Chan, Andrew T., Chen, Yu, Fraser, Gary E., Freedman, Neal D., Gao, Yu-Tang, Gapstur, Susan M., Gaziano, J. Michael, Giles, Graham G., Grant, Eric J., Grodstein, Francine, Hartge, Patricia, Jenab, Mazda, Kitahara, Cari M., Knutsen, Synnove F., Koh, Woon-Puay, Larsson, Susanna C., Lee, I-Min, Liao, Linda M., Luo, Juhua, McGee, Emma E., Milne, Roger L., Monroe, Kristine R., Neuhouser, Marian L., O'Brien, Katie M., Peters, Ulrike, Poynter, Jenny N., Purdue, Mark P., Robien, Kim, Sandler, Dale P., Sawada, Norie, Schairer, Catherine, Sesso, Howard D., Simon, Tracey G., Sinha, Rashmi, Stolzenberg-Solomon, Rachael Z., Tsugane, Shoichiro, Wang, Renwei, Weiderpass, Elisabete, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Yuan, Jian-Min, Zeleniuch-Jacquotte, Anne, Zhang, Xuehong, McGlynn, Katherine A., Campbell, Peter T., and Koshiol, Jill

Abstract

Biliary tract cancers are rare but highly fatal with poorly understood etiology. Identifying potentially modifiable risk factors for these cancers is essential for prevention. Here we estimated the relationship between adiposity and cancer across the biliary tract, including cancers of the gallbladder (GBC), intrahepatic bile ducts (IHBDC), extrahepatic bile ducts (EHBDC), and the ampulla of Vater (AVC). We pooled data from 27 prospective cohorts with over 2.7 million adults. Adiposity was measured using baseline body mass index (BMI), waist circumference, hip circumference, waist-to-hip, and waist-to-height ratios. HRs and 95% confidence intervals (95% CI) were estimated using Cox proportional hazards models adjusted for sex, education, race, smoking, and alcohol consumption with age as the time metric and the baseline hazard stratified by study. During 37,883,648 person-years of follow-up, 1,343 GBC cases, 1,194 EHBDC cases, 784 IHBDC cases, and 623 AVC cases occurred. For each 5 kg/m(2) increase in BMI, there were risk increases for GBC (HR = 1.27; 95% CI, 1.19-1.36), IHBDC (HR = 1.32; 95% CI, 1.21-1.45), and EHBDC (HR = 1.13; 95% CI, 1.03-1.23), but not AVC (HR = 0.99; 95% CI, 0.88-1.11). Increasing waist circumference, hip circumference, waist-to-hip ratio, and waist-to-height ratio were associated with GBC and IHBDC but not EHBDC or AVC. These results indicate that adult adiposity is associated with an increased risk of biliary tract cancer, particularly GBC and IHBDC. Moreover, they provide evidence for recommending weight maintenance programs to reduce the risk of developing these cancers. Significance: These findings identify a correlation between adiposity and biliary tract cancers, indicating that weight management programs may help minimize the risk of these diseases.

Published
2019
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42. Smoking, Alcohol, and Biliary Tract Cancer Risk : A Pooling Project of 26 Prospective Studies

Author

McGee, Emma E., Jackson, Sarah S., Petrick, Jessica L., Van Dyke, Alison L., Adami, Hans-Olov, Albanes, Demetrius, Andreotti, Gabriella, Beane-Freeman, Laura E., de Gonzalez, Amy Berrington, Buring, Julie E., Chan, Andrew T., Chen, Yu, Fraser, Gary E., Freedman, Neal D., Gao, Yu-Tang, Gapstur, Susan M., Gaziano, J. Michael, Giles, Graham G., Grant, Eric J., Grodstein, Francine, Hartge, Patricia, Jenab, Mazda, Kitahara, Cari M., Knutsen, Synnove F., Koh, Woon-Puay, Larsson, Susanna C., Lee, I-Min, Liao, Linda M., Luo, Juhua, Milne, Roger L., Monroe, Kristine R., Neuhouser, Marian L., O'Brien, Katie M., Peters, Ulrike, Poynter, Jenny N., Purdue, Mark P., Robien, Kim, Sandler, Dale P., Sawada, Norie, Schairer, Catherine, Sesso, Howard D., Simon, Tracey G., Sinha, Rashmi, Stolzenberg-Solomon, Rachael, Tsugane, Shoichiro, Wang, Renwei, Weiderpass, Elisabete, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Yuan, Jian-Min, Zeleniuch-Jacquotte, Anne, Zhang, Xuehong, Zhu, Bin, McGlynn, Katherine A., Campbell, Peter T., Koshiol, Jill, McGee, Emma E., Jackson, Sarah S., Petrick, Jessica L., Van Dyke, Alison L., Adami, Hans-Olov, Albanes, Demetrius, Andreotti, Gabriella, Beane-Freeman, Laura E., de Gonzalez, Amy Berrington, Buring, Julie E., Chan, Andrew T., Chen, Yu, Fraser, Gary E., Freedman, Neal D., Gao, Yu-Tang, Gapstur, Susan M., Gaziano, J. Michael, Giles, Graham G., Grant, Eric J., Grodstein, Francine, Hartge, Patricia, Jenab, Mazda, Kitahara, Cari M., Knutsen, Synnove F., Koh, Woon-Puay, Larsson, Susanna C., Lee, I-Min, Liao, Linda M., Luo, Juhua, Milne, Roger L., Monroe, Kristine R., Neuhouser, Marian L., O'Brien, Katie M., Peters, Ulrike, Poynter, Jenny N., Purdue, Mark P., Robien, Kim, Sandler, Dale P., Sawada, Norie, Schairer, Catherine, Sesso, Howard D., Simon, Tracey G., Sinha, Rashmi, Stolzenberg-Solomon, Rachael, Tsugane, Shoichiro, Wang, Renwei, Weiderpass, Elisabete, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Yuan, Jian-Min, Zeleniuch-Jacquotte, Anne, Zhang, Xuehong, Zhu, Bin, McGlynn, Katherine A., Campbell, Peter T., and Koshiol, Jill

Abstract

Background: Tobacco and alcohol are well-established risk factors for numerous cancers, yet their relationship to biliary tract cancers remains unclear. Methods: We pooled data from 26 prospective studies to evaluate associations of cigarette smoking and alcohol consumption with biliary tract cancer risk. Study-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for associations with smoking and alcohol consumption were calculated. Random-effects meta-analysis produced summary estimates. All statistical tests were two-sided. Results: Over a period of 38 369 156 person-years of follow-up, 1391 gallbladder, 758 intrahepatic bile duct, 1208 extrahepatic bile duct, and 623 ampulla of Vater cancer cases were identified. Ever, former, and current smoking were associated with increased extrahepatic bile duct and ampulla of Vater cancers risk (eg, current vs never smokers HR = 1.69, 95% CI = 1.34 to 2.13 and 2.22, 95% CI = 1.69 to 2.92, respectively), with dose-response effects for smoking pack-years, duration, and intensity (all P-trend<.01). Current smoking and smoking intensity were also associated with intrahepatic bile duct cancer (eg, >40 cigarettes per day vs never smokers HR = 2.15, 95 % CI = 1.15 to 4.00; P-trend = .001). No convincing association was observed between smoking and gallbladder cancer. Alcohol consumption was only associated with intrahepatic bile duct cancer, with increased risk for individuals consuming five or more vs zero drinks per day (HR = 2.35, 95%CI = 1.46 to 3.78; P-trend = .04). There was evidence of statistical heterogeneity among several cancer sites, particularly between gallbladder cancer and the other biliary tract cancers. Conclusions: Smoking appears to increase the risk of developing all biliary tract cancers except gallbladder cancer. Alcohol may increase the risk of intrahepatic bile duct cancer. Findings highlight etiologic heterogeneity across the biliary tract.

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2019
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43. The Establishment of the Household Air Pollution Consortium (HAPCO)

Author

One Health Chemisch, dIRAS RA-2, Hosgood, H. Dean, Klugman, Madelyn, Matsuo, Keitaro, White, Alexandra J., Sadakane, Atsuko, Shu, Xiao-Ou, Lopez-Ridaura, Ruy, Shin, Aesun, Tsuji, Ichiro, Malekzadeh, Reza, Noisel, Nolwenn, Bhatti, Parveen, Yang, Gong, Saito, Eiko, Rahman, Shafiur, Hu, Wei, Bassig, Bryan, Downward, George, Vermeulen, Roel, Xue, Xiaonan, Rohan, Thomas, Abe, Sarah K., Broët, Philippe, Grant, Eric J., Dummer, Trevor J. B., Rothman, Nat, Inoue, Manami, Lajous, Martin, Yoo, Keun-Young, Ito, Hidemi, Sandler, Dale P., Ashan, Habib, Zheng, Wei, Boffetta, Paolo, Lan, Qing, One Health Chemisch, dIRAS RA-2, Hosgood, H. Dean, Klugman, Madelyn, Matsuo, Keitaro, White, Alexandra J., Sadakane, Atsuko, Shu, Xiao-Ou, Lopez-Ridaura, Ruy, Shin, Aesun, Tsuji, Ichiro, Malekzadeh, Reza, Noisel, Nolwenn, Bhatti, Parveen, Yang, Gong, Saito, Eiko, Rahman, Shafiur, Hu, Wei, Bassig, Bryan, Downward, George, Vermeulen, Roel, Xue, Xiaonan, Rohan, Thomas, Abe, Sarah K., Broët, Philippe, Grant, Eric J., Dummer, Trevor J. B., Rothman, Nat, Inoue, Manami, Lajous, Martin, Yoo, Keun-Young, Ito, Hidemi, Sandler, Dale P., Ashan, Habib, Zheng, Wei, Boffetta, Paolo, and Lan, Qing

Published
2019

45. Relationship of growth and blood pressure in inbred rats

Author

Schork, Nicholas J., Jokelainen, Pentti, Grant, Eric J., Schork, M. Anthony, and Weder, Alan B.

Subjects
Hypertension -- Analysis, Developmental biology -- Research, Statistics -- Usage, Biological sciences
Abstract

Study of inbred rats reveals that rising blood pressure is closely linked to growth. A sudden increase in growth triggers a blood pressure increase, suggesting that growth-related events may initiate cardiovascular response. Normal and hypertensive rats differ in the vigor of response to growth spurt, rather than any abnormality in the process. The maximal velocity of growth is higher in males.

Published
1994

46. Anthropometric Risk Factors for Cancers of the Biliary Tract in the Biliary Tract Cancers Pooling Project

Author

Jackson, Sarah S., primary, Van Dyke, Alison L., additional, Zhu, Bin, additional, Pfeiffer, Ruth M., additional, Petrick, Jessica L., additional, Adami, Hans-Olov, additional, Albanes, Demetrius, additional, Andreotti, Gabriella, additional, Beane Freeman, Laura E., additional, Berrington de González, Amy, additional, Buring, Julie E., additional, Chan, Andrew T., additional, Chen, Yu, additional, Fraser, Gary E., additional, Freedman, Neal D., additional, Gao, Yu-Tang, additional, Gapstur, Susan M., additional, Gaziano, J. Michael, additional, Giles, Graham G., additional, Grant, Eric J., additional, Grodstein, Francine, additional, Hartge, Patricia, additional, Jenab, Mazda, additional, Kitahara, Cari M., additional, Knutsen, Synnove F., additional, Koh, Woon-Puay, additional, Larsson, Susanna C., additional, Lee, I-Min, additional, Liao, Linda M., additional, Luo, Juhua, additional, McGee, Emma E., additional, Milne, Roger L., additional, Monroe, Kristine R., additional, Neuhouser, Marian L., additional, O’Brien, Katie M., additional, Peters, Ulrike, additional, Poynter, Jenny N., additional, Purdue, Mark P., additional, Robien, Kim, additional, Sandler, Dale P., additional, Sawada, Norie, additional, Schairer, Catherine, additional, Sesso, Howard D., additional, Simon, Tracey G., additional, Sinha, Rashmi, additional, Stolzenberg-Solomon, Rachael Z., additional, Tsugane, Shoichiro, additional, Wang, Renwei, additional, Weiderpass, Elisabete, additional, Weinstein, Stephanie J., additional, White, Emily, additional, Wolk, Alicja, additional, Yuan, Jian-Min, additional, Zeleniuch-Jacquotte, Anne, additional, Zhang, Xuehong, additional, McGlynn, Katherine A., additional, Campbell, Peter T., additional, and Koshiol, Jill, additional

Published
2019
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47. Radiation-Related Risk of Cancers of the Upper Digestive Tract among Japanese Atomic Bomb Survivors

Author

Sakata, Ritsu, primary, Preston, Dale L., additional, Brenner, Alina V., additional, Sugiyama, Hiromi, additional, Grant, Eric J., additional, Rajaraman, Preetha, additional, Sadakane, Atsuko, additional, Utada, Mai, additional, French, Benjamin, additional, Cahoon, Elizabeth K., additional, Mabuchi, Kiyohiko, additional, and Ozasa, Kotaro, additional

Published
2019
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48. Radiation and Risk of Liver, Biliary Tract, and Pancreatic Cancers among Atomic Bomb Survivors in Hiroshima and Nagasaki: 1958–2009

Author

Sadakane, Atsuko, primary, French, Benjamin, additional, Brenner, Alina V., additional, Preston, Dale L., additional, Sugiyama, Hiromi, additional, Grant, Eric J., additional, Sakata, Ritsu, additional, Utada, Mai, additional, Cahoon, Elizabeth K., additional, Mabuchi, Kiyohiko, additional, and Ozasa, Kotaro, additional

Published
2019
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49. Smoking, Alcohol, and Biliary Tract Cancer Risk: A Pooling Project of 26 Prospective Studies

Author

McGee, Emma E, primary, Jackson, Sarah S, additional, Petrick, Jessica L, additional, Van Dyke, Alison L, additional, Adami, Hans-Olov, additional, Albanes, Demetrius, additional, Andreotti, Gabriella, additional, Beane-Freeman, Laura E, additional, Berrington de Gonzalez, Amy, additional, Buring, Julie E, additional, Chan, Andrew T, additional, Chen, Yu, additional, Fraser, Gary E, additional, Freedman, Neal D, additional, Gao, Yu-Tang, additional, Gapstur, Susan M, additional, Gaziano, J Michael, additional, Giles, Graham G, additional, Grant, Eric J, additional, Grodstein, Francine, additional, Hartge, Patricia, additional, Jenab, Mazda, additional, Kitahara, Cari M, additional, Knutsen, Synnove F, additional, Koh, Woon-Puay, additional, Larsson, Susanna C, additional, Lee, I-Min, additional, Liao, Linda M, additional, Luo, Juhua, additional, Milne, Roger L, additional, Monroe, Kristine R, additional, Neuhouser, Marian L, additional, O’Brien, Katie M, additional, Peters, Ulrike, additional, Poynter, Jenny N, additional, Purdue, Mark P, additional, Robien, Kim, additional, Sandler, Dale P, additional, Sawada, Norie, additional, Schairer, Catherine, additional, Sesso, Howard D, additional, Simon, Tracey G, additional, Sinha, Rashmi, additional, Stolzenberg-Solomon, Rachael, additional, Tsugane, Shoichiro, additional, Wang, Renwei, additional, Weiderpass, Elisabete, additional, Weinstein, Stephanie J, additional, White, Emily, additional, Wolk, Alicja, additional, Yuan, Jian-Min, additional, Zeleniuch-Jacquotte, Anne, additional, Zhang, Xuehong, additional, Zhu, Bin, additional, McGlynn, Katherine A, additional, Campbell, Peter T, additional, and Koshiol, Jill, additional

Published
2019
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