476 results on '"Chuang, Shu‐Chun"'
Search Results
2. Pulse pressure is associated with decline in physical function in older adults
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Chuang, Shao-Yuan, Liu, Wen-Ling, Cheng, Hao-Min, Chung, Ren-Hua, Lai, Chia-Hung, Chuang, Shu-Chun, Wu, I-Chien, Chang, Hsing-Yi, Hsiung, Chao Agnes, Chen, Wei J., and Hsu, Chih-Cheng
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- 2024
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3. Categorization of collagen type I and II blend hydrogel using multipolarization SHG imaging with ResNet regression
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Nair, Anupama, Lin, Chun-Yu, Hsu, Feng-Chun, Wong, Ta-Hsiang, Chuang, Shu-Chun, Lin, Yi-Shan, Chen, Chung-Hwan, Campagnola, Paul, Lien, Chi-Hsiang, and Chen, Shean-Jen
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- 2023
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4. Application of proteomics in identifying crucial virulence factors shared by different Streptococcus iniae isolates for developing an effective subunit vaccine against S. iniae in tilapia
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Chen, Chaio-Ping, Chuang, Shu-Chun, Su, Kuan-Lun, Chen, Li-Kai, Lin, Yi-Chen, Wu, Yu-Jen, Liu, Shang-Pin, Hung, Shao-Wen, Chen, Chung-Hwan, and Yang, Chung-Da
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- 2024
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5. Alcohol drinking and head and neck cancer risk: the joint effect of intensity and duration
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Di Credico, Gioia, Polesel, Jerry, Dal Maso, Luigino, Pauli, Francesco, Torelli, Nicola, Luce, Daniele, Radoï, Loredana, Matsuo, Keitaro, Serraino, Diego, Brennan, Paul, Holcatova, Ivana, Ahrens, Wolfgang, Lagiou, Pagona, Canova, Cristina, Richiardi, Lorenzo, Healy, Claire M, Kjaerheim, Kristina, Conway, David I, Macfarlane, Gary J, Thomson, Peter, Agudo, Antonio, Znaor, Ariana, Franceschi, Silvia, Herrero, Rolando, Toporcov, Tatiana N, Moyses, Raquel A, Muscat, Joshua, Negri, Eva, Vilensky, Marta, Fernandez, Leticia, Curado, Maria Paula, Menezes, Ana, Daudt, Alexander W, Koifman, Rosalina, Wunsch-Filho, Victor, Olshan, Andrew F, Zevallos, Jose P, Sturgis, Erich M, Li, Guojun, Levi, Fabio, Zhang, Zuo-Feng, Morgenstern, Hal, Smith, Elaine, Lazarus, Philip, La Vecchia, Carlo, Garavello, Werner, Chen, Chu, Schwartz, Stephen M, Zheng, Tongzhang, Vaughan, Thomas L, Kelsey, Karl, McClean, Michael, Benhamou, Simone, Hayes, Richard B, Purdue, Mark P, Gillison, Maura, Schantz, Stimson, Yu, Guo-Pei, Chuang, Shu-Chun, Boffetta, Paolo, Hashibe, Mia, Yuan-Chin, Amy Lee, and Edefonti, Valeria
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Dental/Oral and Craniofacial Disease ,Alcoholism ,Alcohol Use and Health ,Digestive Diseases ,Cancer ,Prevention ,Rare Diseases ,Tobacco ,Substance Misuse ,Tobacco Smoke and Health ,2.2 Factors relating to the physical environment ,Aetiology ,Good Health and Well Being ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Alcohol Drinking ,Case-Control Studies ,Female ,Head and Neck Neoplasms ,Humans ,Laryngeal Neoplasms ,Male ,Middle Aged ,Mouth Neoplasms ,Oropharyngeal Neoplasms ,Risk Factors ,Severity of Illness Index ,Smoking ,Time Factors ,Young Adult ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
BackgroundAlcohol is a well-established risk factor for head and neck cancer (HNC). This study aims to explore the effect of alcohol intensity and duration, as joint continuous exposures, on HNC risk.MethodsData from 26 case-control studies in the INHANCE Consortium were used, including never and current drinkers who drunk ≤10 drinks/day for ≤54 years (24234 controls, 4085 oral cavity, 3359 oropharyngeal, 983 hypopharyngeal and 3340 laryngeal cancers). The dose-response relationship between the risk and the joint exposure to drinking intensity and duration was investigated through bivariate regression spline models, adjusting for potential confounders, including tobacco smoking.ResultsFor all subsites, cancer risk steeply increased with increasing drinks/day, with no appreciable threshold effect at lower intensities. For each intensity level, the risk of oral cavity, hypopharyngeal and laryngeal cancers did not vary according to years of drinking, suggesting no effect of duration. For oropharyngeal cancer, the risk increased with durations up to 28 years, flattening thereafter. The risk peaked at the higher levels of intensity and duration for all subsites (odds ratio = 7.95 for oral cavity, 12.86 for oropharynx, 24.96 for hypopharynx and 6.60 for larynx).ConclusionsPresent results further encourage the reduction of alcohol intensity to mitigate HNC risk.
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- 2020
6. Dietary Inflammatory Patterns Are Associated With Serum TGs and Insulin in Adults: A Community-Based Study in Taiwan
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Chuang, Shu-Chun, Wu, I-Chien, Hsiung, Chao Agnes, Chan, Huei-Ting, Cheng, Chiu-Wen, Chen, Hui-Ling, Chiu, Yen-Feng, Lee, Marion M., Chang, Hsing-Yi, and Hsu, Chih-Cheng
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- 2023
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7. Age at start of using tobacco on the risk of head and neck cancer: Pooled analysis in the International Head and Neck Cancer Epidemiology Consortium (INHANCE)
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Chang, Chun-Pin, Chang, Shen-Chih, Chuang, Shu-Chun, Berthiller, Julien, Ferro, Gilles, Matsuo, Keitaro, Wünsch-Filho, Victor, Toporcov, Tatiana N, de Carvalho, Marcos Brasilino, La Vecchia, Carlo, Olshan, Andrew F, Zevallos, Jose P, Serraino, Diego, Muscat, Joshua, Sturgis, Erich M, Li, Guojun, Morgenstern, Hal, Levi, Fabio, Dal Maso, Luigino, Smith, Elaine, Kelsey, Karl, McClean, Michael, Vaughan, Thomas L, Lazarus, Philip, Ramroth, Heribert, Chen, Chu, Schwartz, Stephen M, Winn, Deborah M, Bosetti, Cristina, Edefonti, Valeria, Garavello, Werner, Negri, Eva, Hayes, Richard B, Purdue, Mark P, Boccia, Stefania, Cadoni, Gabriella, Shangina, Oxana, Koifman, Rosalina, Curado, Maria Paula, Vilensky, Marta, Swiatkowska, Beata, Herrero, Rolando, Franceschi, Silvia, Benhamou, Simone, Fernandez, Leticia, Menezes, Ana MB, Daudt, Alexander W, Mates, Dana, Schantz, Stimson, Yu, Guo-Pei, Lissowska, Jolanta, Brenner, Hermann, Fabianova, Eleonora, Rudnai, Peter, Brennan, Paul, Boffetta, Paolo, Zhang, Zuo-Feng, Hashibe, Mia, and Lee, Yuan-Chin Amy
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Biomedical and Clinical Sciences ,Epidemiology ,Health Services and Systems ,Health Sciences ,Public Health ,Oncology and Carcinogenesis ,Prevention ,Rare Diseases ,Cancer ,Tobacco Smoke and Health ,Dental/Oral and Craniofacial Disease ,Substance Misuse ,Tobacco ,Aetiology ,2.2 Factors relating to the physical environment ,Good Health and Well Being ,Adult ,Age Factors ,Aged ,Case-Control Studies ,Female ,Head and Neck Neoplasms ,Humans ,Male ,Middle Aged ,Risk Factors ,Nicotiana ,Age at start of tobacco use ,Head and neck cancer ,Oral cancer ,Oropharyngeal cancer ,Hypopharyngeal cancer ,Laryngeal cancer ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
BackgroundTobacco use is a well-established risk factor for head and neck cancer (HNC). However, less is known about the potential impact of exposure to tobacco at an early age on HNC risk.MethodsWe analyzed individual-level data on ever tobacco smokers from 27 case-control studies (17,146 HNC cases and 17,449 controls) in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using random-effects logistic regression models.ResultsWithout adjusting for tobacco packyears, we observed that younger age at starting tobacco use was associated with an increased HNC risk for ever smokers (OR
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- 2019
8. A LINEAR RELATIONSHIP OF ANKLE-BRACHIAL SYSTOLIC BLOOD PRESSURE INDEX FOR COGNITIVE FUNCTION DECLINE AMONG OLDER ADULTS WITHOUT PERIPHERAL ARTERY DISEASE: THE HALST STUDY
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Chuang, Shao-YUAN, primary, Chung, Ren-Hua, additional, Lai, Chia-Hung, additional, Liu, Wen-Ling, additional, Chang, Hsing-Yi, additional, Hsiun, Chao Agnes, additional, Chuang, Shu-Chun, additional, Wu, I-Chien, additional, and Hsu, Chih-Cheng, additional
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- 2024
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9. ALCOHOL DRINKING MAY MODIFY THE ASSOCIATION BETWEEN HDL-CHOLESTEROL AND CORONARY CALCIUM SCORE IN AN OLDER POPULATION
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Chuang, Shao -Yuan, primary, Wu, Ming -Ting, additional, Chung, Ren -Hua, additional, Lai, Chia -Hung, additional, Liu, Wen -Ling, additional, Chang, Hsing -Yi, additional, Hsiun, Chao Agnes, additional, Chuang, Shu -Chun, additional, Wu, I -Chien, additional, and Hsu, Chih -Cheng, additional
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- 2024
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10. Joint effects of intensity and duration of cigarette smoking on the risk of head and neck cancer: A bivariate spline model approach
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Di Credico, Gioia, Edefonti, Valeria, Polesel, Jerry, Pauli, Francesco, Torelli, Nicola, Serraino, Diego, Negri, Eva, Luce, Daniele, Stucker, Isabelle, Matsuo, Keitaro, Brennan, Paul, Vilensky, Marta, Fernandez, Leticia, Curado, Maria Paula, Menezes, Ana, Daudt, Alexander W, Koifman, Rosalina, Wunsch-Filho, Victor, Holcatova, Ivana, Ahrens, Wolfgang, Lagiou, Pagona, Simonato, Lorenzo, Richiardi, Lorenzo, Healy, Claire, Kjaerheim, Kristina, Conway, David I, Macfarlane, Tatiana V, Thomson, Peter, Agudo, Antonio, Znaor, Ariana, Rios, Leonardo F Boaventura, Toporcov, Tatiana N, Franceschi, Silvia, Herrero, Rolando, Muscat, Joshua, Olshan, Andrew F, Zevallos, Jose P, La Vecchia, Carlo, Winn, Deborah M, Sturgis, Erich M, Li, Guojun, Fabianova, Eleonora, Lissowska, Jolanda, Mates, Dana, Rudnai, Peter, Shangina, Oxana, Swiatkowska, Beata, Moysich, Kirsten, Zhang, Zuo-Feng, Morgenstern, Hal, Levi, Fabio, Smith, Elaine, Lazarus, Philip, Bosetti, Cristina, Garavello, Werner, Kelsey, Karl, McClean, Michael, Ramroth, Heribert, Chen, Chu, Schwartz, Stephen M, Vaughan, Thomas L, Zheng, Tongzhang, Menvielle, Gwenn, Boccia, Stefania, Cadoni, Gabriella, Hayes, Richard B, Purdue, Mark, Gillison, Maura, Schantz, Stimson, Yu, Guo-Pei, Brenner, Hermann, D'Souza, Gypsyamber, Gross, Neil D, Chuang, Shu-Chun, Boffetta, Paolo, Hashibe, Mia, Lee, Yuan-Chin Amy, and Dal Maso, Luigino
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Prevention ,Tobacco Smoke and Health ,Substance Misuse ,Tobacco ,Dental/Oral and Craniofacial Disease ,Rare Diseases ,Cancer ,2.2 Factors relating to the physical environment ,Good Health and Well Being ,Adult ,Aged ,Aged ,80 and over ,Case-Control Studies ,Cigarette Smoking ,Female ,Head and Neck Neoplasms ,Humans ,Male ,Middle Aged ,Risk Factors ,Bivariate spline models ,Cigarette smoking duration ,Cigarette smoking intensity ,Head and neck cancer ,INHANCE ,Laryngeal cancer ,Oral cavity and pharyngeal cancers ,Dentistry ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
ObjectivesThis study aimed at re-evaluating the strength and shape of the dose-response relationship between the combined (or joint) effect of intensity and duration of cigarette smoking and the risk of head and neck cancer (HNC). We explored this issue considering bivariate spline models, where smoking intensity and duration were treated as interacting continuous exposures.Materials and methodsWe pooled individual-level data from 33 case-control studies (18,260 HNC cases and 29,844 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. In bivariate regression spline models, exposures to cigarette smoking intensity and duration (compared with never smokers) were modeled as a linear piecewise function within a logistic regression also including potential confounders. We jointly estimated the optimal knot locations and regression parameters within the Bayesian framework.ResultsFor oral-cavity/pharyngeal (OCP) cancers, an odds ratio (OR) >5 was reached after 30 years in current smokers of ∼20 or more cigarettes/day. Patterns of OCP cancer risk in current smokers differed across strata of alcohol intensity. For laryngeal cancer, ORs >20 were found for current smokers of ≥20 cigarettes/day for ≥30 years. In former smokers who quit ≥10 years ago, the ORs were approximately halved for OCP cancers, and ∼1/3 for laryngeal cancer, as compared to the same levels of intensity and duration in current smokers.ConclusionReferring to bivariate spline models, this study better quantified the joint effect of intensity and duration of cigarette smoking on HNC risk, further stressing the need of smoking cessation policies.
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- 2019
11. Shared and Study-specific Dietary Patterns and Head and Neck Cancer Risk in an International Consortium
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De Vito, R, Lee, Yuan Chin Amy, Parpinel, M, Serraino, D, Olshan, Andrew Fergus, Zevallos, Jose Pedro, Levi, F, Zhang, Zhuo Feng, Morgenstern, H, Garavello, W, Kelsey, K, McClean, M, Schantz, S, Yu, Guo Pei, Boffetta, P, Chuang, Shu Chun, Hashibe, M, La Vecchia, C, Parmigiani, G, and Edefonti, V
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Epidemiology ,Public Health ,Health Sciences ,Prevention ,Clinical Research ,Dental/Oral and Craniofacial Disease ,Nutrition ,Cancer ,Adult ,Aged ,Aged ,80 and over ,Case-Control Studies ,Confidence Intervals ,Diet ,Europe ,Female ,Head and Neck Neoplasms ,Humans ,Male ,Middle Aged ,Odds Ratio ,Reproducibility of Results ,United States ,high-fat ,Mediterranean ,Western ,Head and neck neoplasms ,Laryngeal neoplasms ,Mouth neoplasms ,Pharyngeal neoplasms ,Reproducibility of results ,Statistics ,Public Health and Health Services ,Public health - Abstract
BackgroundA few papers have considered reproducibility of a posteriori dietary patterns across populations, as well as pattern associations with head and neck cancer risk when multiple populations are available.MethodsWe used individual-level pooled data from seven case-control studies (3844 cases; 6824 controls) participating in the International Head and Neck Cancer Epidemiology consortium. We simultaneously derived shared and study-specific a posteriori patterns with a novel approach called multi-study factor analysis applied to 23 nutrients. We derived odds ratios (ORs) and 95% confidence intervals (CIs) for cancers of the oral cavity and pharynx combined, and larynx, from logistic regression models.ResultsWe identified three shared patterns that were reproducible across studies (75% variance explained): the Antioxidant vitamins and fiber (OR = 0.57, 95% CI = 0.41, 0.78, highest versus lowest score quintile) and the Fats (OR = 0.80, 95% CI = 0.67, 0.95) patterns were inversely associated with oral and pharyngeal cancer risk. The Animal products and cereals (OR = 1.5, 95% CI = 1.1, 2.1) and the Fats (OR = 1.8, 95% CI = 1.4, 2.3) patterns were positively associated with laryngeal cancer risk, whereas a linear inverse trend in laryngeal cancer risk was evident for the Antioxidant vitamins and fiber pattern. We also identified four additional study-specific patterns, one for each of the four US studies examined. We named them all as Dairy products and breakfast cereals, and two were associated with oral and pharyngeal cancer risk.ConclusionMulti-study factor analysis provides insight into pattern reproducibility and supports previous evidence on cross-country reproducibility of dietary patterns and on their association with head and neck cancer risk. See video abstract at, http://links.lww.com/EDE/B430.
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- 2019
12. Characterization of collagen response to bone fracture healing using polarization-SHG
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Nair, Anupama, Chuang, Shu-Chun, Lin, Yi-Shan, Chen, Chung-Hwan, Fang, Ting-Chen, Chiu, Hsiao-Chi, Lien, Chi-Hsiang, and Chen, Shean-Jen
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- 2022
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13. Sleep habits are associated with cognition decline in physically robust, but not in frail participants: a longitudinal observational study
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Chuang, Shu-Chun, Wu, I.-Chien, Chang, Jen-Jen, Tsai, Yi-Fen, Cheng, Chiu-Wen, Chiu, Yen-Feng, Chang, Hsing-Yi, Lee, Marion M., Hsu, Chih-Cheng, and Hsiung, Chao Agnes
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- 2022
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14. Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study
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Sobrin, Lucia, Chong, Yong He, Fan, Qiao, Gan, Alfred, Stanwyck, Lynn K, Kaidonis, Georgia, Craig, Jamie E, Kim, Jihye, Liao, Wen-Ling, Huang, Yu-Chuen, Lee, Wen-Jane, Hung, Yi-Jen, Guo, Xiuqing, Hai, Yang, Ipp, Eli, Pollack, Samuela, Hancock, Heather, Price, Alkes, Penman, Alan, Mitchell, Paul, Liew, Gerald, Smith, Albert V, Gudnason, Vilmundur, Tan, Gavin, Klein, Barbara EK, Kuo, Jane, Li, Xiaohui, Christiansen, Mark W, Psaty, Bruce M, Sandow, Kevin, Jensen, Richard A, Klein, Ronald, Cotch, Mary Frances, Wang, Jie Jin, Jia, Yucheng, Chen, Ching J, Chen, Yii-Der Ida, Rotter, Jerome I, Tsai, Fuu-Jen, Hanis, Craig L, Burdon, Kathryn P, Wong, Tien Yin, Cheng, Ching-Yu, Spracklen, Cassandra N, Chen, Peng, Kim, Young Jin, Wang, Xu, Cai, Hui, Li, Shengxu, Long, Jirong, Wu, Ying, Wang, Ya-Xing, Takeuchi, Fumihiko, Wu, Jer-Yuarn, Jung, Keum-Ji, Hu, Cheng, Akiyama, Koichi, Zhang, Yonghong, Moon, Sanghoon, Johnson, Todd A, Li, Huaixing, Dorajoo, Rajkumar, He, Meian, Cannon, Maren E, Roman, Tamara S, Salfati, Elias, Lin, Keng-Hung, Sheu, Wayne HH, Absher, Devin, Adair, Linda S, Assimes, Themistocles L, Aung, Tin, Cai, Qiuyin, Chang, Li-Ching, Chen, Chien-Hsiun, Chien, Li-Hsin, Chuang, Lee-Ming, Chuang, Shu-Chun, Du, Shufa, Fann, Cathy SJ, Feranil, Alan B, Friedlander, Yechiel, Gordon-Larsen, Penny, Gu, Dongfeng, Gui, Lixuan, Guo, Zhirong, Heng, Chew-Kiat, Hixson, James, Hou, Xuhong, Hsiung, Chao Agnes, Hu, Yao, Hwang, Mi Yeong, Hwu, Chii-Min, Isono, Masato, Juang, Jyh-Ming Jimmy, Khor, Chiea-Chuen, Kim, Yun Kyoung, Koh, Woon-Puay, Kubo, Michiaki, and Lee, I-Te
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Biomedical and Clinical Sciences ,Cancer ,Prevention ,Eye Disease and Disorders of Vision ,2.1 Biological and endogenous factors ,Aetiology ,Metabolic and endocrine ,Aged ,Diabetic Retinopathy ,Female ,Genome-Wide Association Study ,Humans ,Lipids ,Male ,Mendelian Randomization Analysis ,Middle Aged ,Polymorphism ,Single Nucleotide ,Risk ,Asian Genetic Epidemiology Network Consortium ,Medical and Health Sciences ,Endocrinology & Metabolism ,Biomedical and clinical sciences - Abstract
Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.
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- 2017
15. Dietary fiber intake and head and neck cancer risk: A pooled analysis in the International Head and Neck Cancer Epidemiology consortium
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Kawakita, Daisuke, Lee, Yuan‐Chin Amy, Turati, Federica, Parpinel, Maria, Decarli, Adriano, Serraino, Diego, Matsuo, Keitaro, Olshan, Andrew F, Zevallos, Jose P, Winn, Deborah M, Moysich, Kirsten, Zhang, Zuo‐Feng, Morgenstern, Hal, Levi, Fabio, Kelsey, Karl, McClean, Michael, Bosetti, Cristina, Garavello, Werner, Schantz, Stimson, Yu, Guo‐Pei, Boffetta, Paolo, Chuang, Shu‐Chun, Hashibe, Mia, Ferraroni, Monica, La Vecchia, Carlo, and Edefonti, Valeria
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Dental/Oral and Craniofacial Disease ,Prevention ,Cancer ,Rare Diseases ,Digestive Diseases ,Oral and gastrointestinal ,Good Health and Well Being ,Adult ,Aged ,Alcohol Drinking ,Carcinoma ,Squamous Cell ,Case-Control Studies ,Dietary Fiber ,Female ,Head and Neck Neoplasms ,Humans ,Laryngeal Neoplasms ,Male ,Middle Aged ,Pharyngeal Neoplasms ,Risk Factors ,Squamous Cell Carcinoma of Head and Neck ,Tobacco ,dietary fiber intake ,INHANCE ,head and neck cancer ,laryngeal cancer ,oral cavity and pharyngeal cancer ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
The possible role of dietary fiber in the etiology of head neck cancers (HNCs) is unclear. We used individual-level pooled data from ten case-control studies (5959 cases and 12,248 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium, to examine the association between fiber intake and cancer of the oral cavity/pharynx and larynx. Odds Ratios (ORs) and their 95% Confidence Intervals (CIs) were estimated using unconditional multiple logistic regression applied to quintile categories of non-alcohol energy-adjusted fiber intake and adjusted for tobacco and alcohol use and other known or putative confounders. Fiber intake was inversely associated with oral and pharyngeal cancer combined (OR for 5th vs. 1st quintile category = 0.49, 95% CI: 0.40-0.59; p for trend
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- 2017
16. Impact of physical activity on disability‐free and disabled life expectancies in middle‐aged and older adults: Data from the healthy aging longitudinal study in Taiwan
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Chuang, Shu‐Chun, primary, Chang, Yu‐Hung, additional, Wu, I‐Chien, additional, Fang, Yao‐Hwei, additional, Chan, Huei‐Ting, additional, Wu, Ray‐Chin, additional, Lee, Marion M., additional, Chiu, Chi‐Tsun, additional, Chang, Hsing‐Yi, additional, Hsiung, Chao Agnes, additional, and Hsu, Chih‐Cheng, additional
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- 2024
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17. Longitudinal changes in physical and mental health of older adults with chronic hepatitis B infection: Trajectories and predictors
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Chen, Chang-Hua, Wu, Ming-Shiang, Yang, Yu-Wen, Liu, Yen-Tze, Chiu, Yen-Feng, Hsu, Chih-Cheng, Chuang, Shu-Chun, Chung, Tieh-Chi, Tsai, Tsung-Lung, Huang, Wen-Hao, Huang, Wei-Lin, Juan, Chung-Chou, Lien, Li-Ming, Hsiung, Chao A., and Wu, I-Chien
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- 2021
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18. Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels
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Spracklen, Cassandra N, Chen, Peng, Kim, Young Jin, Wang, Xu, Cai, Hui, Li, Shengxu, Long, Jirong, Wu, Ying, Wang, Ya Xing, Takeuchi, Fumihiko, Wu, Jer-Yuarn, Jung, Keum-Ji, Hu, Cheng, Akiyama, Koichi, Zhang, Yonghong, Moon, Sanghoon, Johnson, Todd A, Li, Huaixing, Dorajoo, Rajkumar, He, Meian, Cannon, Maren E, Roman, Tamara S, Salfati, Elias, Lin, Keng-Hung, Guo, Xiuqing, Sheu, Wayne HH, Absher, Devin, Adair, Linda S, Assimes, Themistocles L, Aung, Tin, Cai, Qiuyin, Chang, Li-Ching, Chen, Chien-Hsiun, Chien, Li-Hsin, Chuang, Lee-Ming, Chuang, Shu-Chun, Du, Shufa, Fan, Qiao, Fann, Cathy SJ, Feranil, Alan B, Friedlander, Yechiel, Gordon-Larsen, Penny, Gu, Dongfeng, Gui, Lixuan, Guo, Zhirong, Heng, Chew-Kiat, Hixson, James, Hou, Xuhong, Hsiung, Chao Agnes, Hu, Yao, Hwang, Mi Yeong, Hwu, Chii-Min, Isono, Masato, Juang, Jyh-Ming Jimmy, Khor, Chiea-Chuen, Kim, Yun Kyoung, Koh, Woon-Puay, Kubo, Michiaki, Lee, I-Te, Lee, Sun-Ju, Lee, Wen-Jane, Liang, Kae-Woei, Lim, Blanche, Lim, Sing-Hui, Liu, Jianjun, Nabika, Toru, Pan, Wen-Harn, Peng, Hao, Quertermous, Thomas, Sabanayagam, Charumathi, Sandow, Kevin, Shi, Jinxiu, Sun, Liang, Tan, Pok Chien, Tan, Shu-Pei, Taylor, Kent D, Teo, Yik-Ying, Toh, Sue-Anne, Tsunoda, Tatsuhiko, van Dam, Rob M, Wang, Aili, Wang, Feijie, Wang, Jie, Bin Wei, Wen, Xiang, Yong-Bing, Yao, Jie, Yuan, Jian-Min, Zhang, Rong, Zhao, Wanting, Chen, Yii-Der Ida, Rich, Stephen S, Rotter, Jerome I, Wang, Tzung-Dau, Wu, Tangchun, Lin, Xu, Han, Bok-Ghee, Tanaka, Toshihiro, Cho, Yoon Shin, Katsuya, Tomohiro, and Jia, Weiping
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Genetics ,Human Genome ,Atherosclerosis ,2.1 Biological and endogenous factors ,Aetiology ,Metabolic and endocrine ,Adult ,Alleles ,Asian People ,Cholesterol ,Ethnicity ,Female ,Gene Frequency ,Genetic Association Studies ,Genome-Wide Association Study ,Humans ,Linkage Disequilibrium ,Lipids ,Lipoproteins ,HDL ,Lipoproteins ,LDL ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Triglycerides ,White People ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Large-scale meta-analyses of genome-wide association studies (GWAS) have identified >175 loci associated with fasting cholesterol levels, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG). With differences in linkage disequilibrium (LD) structure and allele frequencies between ancestry groups, studies in additional large samples may detect new associations. We conducted staged GWAS meta-analyses in up to 69,414 East Asian individuals from 24 studies with participants from Japan, the Philippines, Korea, China, Singapore, and Taiwan. These meta-analyses identified (P
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- 2017
19. Cellular immune activity biomarker neopterin is associated hyperlipidemia: results from a large population-based study
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Chuang, Shu-Chun, Boeing, Heiner, Vollset, Stein Emil, Midttun, Øivind, Ueland, Per Magne, Bueno-de-Mesquita, Bas, Lajous, Martin, Fagherazzi, Guy, Boutron-Ruault, Marie-Christine, Kaaks, Rudolf, Küehn, Tilman, Pischon, Tobias, Drogan, Dagmar, Tjønneland, Anne, Overvad, Kim, Quirós, J Ramón, Agudo, Antonio, Molina-Montes, Esther, Dorronsoro, Miren, Huerta, José María, Barricarte, Aurelio, Khaw, Kay-Tee, Wareham, Nicholas J, Travis, Ruth C, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrios, Masala, Giovanna, Agnoli, Claudia, Tumino, Rosario, Mattiello, Amalia, Peeters, Petra H, Weiderpass, Elisabete, Palmqvist, Richard, Ljuslinder, Ingrid, Gunter, Marc, Lu, Yunxia, Cross, Amanda J, Riboli, Elio, Vineis, Paolo, and Aleksandrova, Krasimira
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Cardiovascular ,Nutrition ,Aging ,Clinical Research ,Cell-mediated immunity ,Metabolic syndrome ,Neopterin ,Clinical Sciences ,Immunology ,Clinical sciences - Abstract
BackgroundIncreased serum neopterin had been described in older age two decades ago. Neopterin is a biomarker of systemic adaptive immune activation that could be potentially implicated in metabolic syndrome (MetS). Measurements of waist circumference, triglycerides, high-density lipoprotein cholesterol (HDLC), systolic and diastolic blood pressure, glycated hemoglobin as components of MetS definition, and plasma total neopterin concentrations were performed in 594 participants recruited in the European Prospective Investigation into Cancer and Nutrition (EPIC).ResultsHigher total neopterin concentrations were associated with reduced HDLC (9.7 %, p
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- 2016
20. Smokeless Tobacco Use and the Risk of Head and Neck Cancer: Pooled Analysis of US Studies in the INHANCE Consortium
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Wyss, Annah B, Hashibe, Mia, Lee, Yuan-Chin Amy, Chuang, Shu-Chun, Muscat, Joshua, Chen, Chu, Schwartz, Stephen M, Smith, Elaine, Zhang, Zuo-Feng, Morgenstern, Hal, Wei, Qingyi, Li, Guojun, Kelsey, Karl T, McClean, Michael, Winn, Deborah M, Schantz, Stimson, Yu, Guo-Pei, Gillison, Maura L, Zevallos, Jose P, Boffetta, Paolo, and Olshan, Andrew F
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Epidemiology ,Health Services and Systems ,Health Sciences ,Tobacco ,Dental/Oral and Craniofacial Disease ,Rare Diseases ,Prevention ,Cancer ,Tobacco Smoke and Health ,Good Health and Well Being ,Adolescent ,Adult ,Aged ,Cigarette Smoking ,Female ,Head and Neck Neoplasms ,Humans ,Logistic Models ,Male ,Middle Aged ,Mouth Neoplasms ,Tobacco Use ,Tobacco ,Smokeless ,United States ,Young Adult ,chewing tobacco ,head and neck neoplasms ,snuff ,tobacco ,smokeless ,Mathematical Sciences ,Medical and Health Sciences - Abstract
Previous studies on smokeless tobacco use and head and neck cancer (HNC) have found inconsistent and often imprecise estimates, with limited control for cigarette smoking. Using pooled data from 11 US case-control studies (1981-2006) of oral, pharyngeal, and laryngeal cancers (6,772 cases and 8,375 controls) in the International Head and Neck Cancer Epidemiology (INHANCE) Consortium, we applied hierarchical logistic regression to estimate odds ratios and 95% confidence intervals for ever use, frequency of use, and duration of use of snuff and chewing tobacco separately for never and ever cigarette smokers. Ever use (versus never use) of snuff was strongly associated with HNC among never cigarette smokers (odds ratio (OR) = 1.71, 95% confidence interval (CI): 1.08, 2.70), particularly for oral cavity cancers (OR = 3.01, 95% CI: 1.63, 5.55). Although ever (versus never) tobacco chewing was weakly associated with HNC among never cigarette smokers (OR = 1.20, 95% CI: 0.81, 1.77), analyses restricted to cancers of the oral cavity showed a stronger association (OR = 1.81, 95% CI: 1.04, 3.17). Few or no associations between each type of smokeless tobacco and HNC were observed among ever cigarette smokers, possibly reflecting residual confounding by smoking. Smokeless tobacco use appears to be associated with HNC, especially oral cancers, with snuff being more strongly associated than chewing tobacco.
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- 2016
21. Develop and Validate a Prognostic Index With Laboratory Tests to Predict Mortality in Middle-Aged and Older Adults Using Machine Learning Models: A Prospective Cohort Study.
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Huang, Chi-Hsien, Fang, Yao-Hwei, Zhang, Shu, Wu, I-Chien, Chuang, Shu-Chun, Chang, Hsing-Yi, Tsai, Yi-Fen, Tseng, Wei-Ting, Wu, Ray-Chin, Liu, Yen-Tze, Lien, Li-Ming, Juan, Chung-Chou, Tange, Chikako, Otsuka, Rei, Arai, Hidenori, Hsu, Chih-Cheng, and Hsiung, Chao Agnes
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MACHINE learning ,MIDDLE-aged persons ,OLDER people ,COHORT analysis ,LONGITUDINAL method - Abstract
Background Prognostic indices can enhance personalized predictions of health burdens. However, a simple, practical, and reproducible tool is lacking for clinical use. This study aimed to develop a machine learning-based prognostic index for predicting all-cause mortality in community-dwelling older individuals. Methods We utilized the Healthy Aging Longitudinal Study in Taiwan (HALST) cohort, encompassing data from 5 663 participants. Over the 5-year follow-up, 447 deaths were confirmed. A machine learning-based routine blood examination prognostic index (MARBE-PI) was developed using common laboratory tests based on machine learning techniques. Participants were grouped into multiple risk categories by stratum-specific likelihood ratio analysis based on their MARBE-PI scores. The MARBE-PI was subsequently externally validated with an independent population-based cohort from Japan. Results Beyond age, sex, education level, and BMI, 6 laboratory tests (low-density lipoprotein, albumin, aspartate aminotransferase, lymphocyte count, high-sensitivity C-reactive protein, and creatinine) emerged as pivotal predictors via stepwise logistic regression (LR) for 5-year mortality. The area under curves of MARBE-PI constructed by LR were 0.799 (95% confidence interval [95% CI]: 0.778–0.819) and 0.756 (95% CI: 0.694–0.814) for the internal and external validation data sets, and were 0.801 (95% CI: 0.790–0.811) and 0.809 (95% CI: 0.774–0.845) for the extended 10-year mortality in both data sets, respectively. Risk categories stratified by MARBE-PI showed a consistent dose–response association with mortality. The MARBE-PI also performed comparably with indices constructed with clinical health deficits and/or laboratory results. Conclusions The MARBE-PI is considered the most applicable measure for risk stratification in busy clinical settings. It holds potential to pinpoint older individuals at elevated mortality risk, thereby aiding clinical decision-making. [ABSTRACT FROM AUTHOR]
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- 2024
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22. Carotenoid intake and head and neck cancer: a pooled analysis in the International Head and Neck Cancer Epidemiology Consortium
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Leoncini, Emanuele, Edefonti, Valeria, Hashibe, Mia, Parpinel, Maria, Cadoni, Gabriella, Ferraroni, Monica, Serraino, Diego, Matsuo, Keitaro, Olshan, Andrew F, Zevallos, Jose P, Winn, Deborah M, Moysich, Kirsten, Zhang, Zuo-Feng, Morgenstern, Hal, Levi, Fabio, Kelsey, Karl, McClean, Michael, Bosetti, Cristina, Schantz, Stimson, Yu, Guo-Pei, Boffetta, Paolo, Lee, Yuan-Chin Amy, Chuang, Shu-Chun, Decarli, Adriano, La Vecchia, Carlo, and Boccia, Stefania
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Public Health ,Health Sciences ,Dental/Oral and Craniofacial Disease ,Nutrition ,Digestive Diseases ,Prevention ,Rare Diseases ,Cancer ,Oral and gastrointestinal ,Good Health and Well Being ,Adult ,Aged ,Aged ,80 and over ,Antioxidants ,Carcinoma ,Squamous Cell ,Carotenoids ,Case-Control Studies ,Epidemiologic Studies ,Europe ,Female ,Head and Neck Neoplasms ,Humans ,Japan ,Middle Aged ,Squamous Cell Carcinoma of Head and Neck ,United States ,Head and neck cancer ,Nutrients ,Diet ,Public Health and Health Services ,Epidemiology - Abstract
Food and nutrition play an important role in head and neck cancer (HNC) etiology; however, the role of carotenoids remains largely undefined. We explored the relation of HNC risk with the intake of carotenoids within the International Head and Neck Cancer Epidemiology Consortium. We pooled individual-level data from 10 case-control studies conducted in Europe, North America, and Japan. The analysis included 18,207 subjects (4414 with oral and pharyngeal cancer, 1545 with laryngeal cancer, and 12,248 controls), categorized by quintiles of carotenoid intake from natural sources. Comparing the highest with the lowest quintile, the risk reduction associated with total carotenoid intake was 39 % (95 % CI 29-47 %) for oral/pharyngeal cancer and 39 % (95 % CI 24-50 %) for laryngeal cancer. Intakes of β-carotene equivalents, β-cryptoxanthin, lycopene, and lutein plus zeaxanthin were associated with at least 18 % reduction in the rate of oral and pharyngeal cancer (95 % CI 6-29 %) and 17 % reduction in the rate of laryngeal cancer (95 % CI 0-32 %). The overall protective effect of carotenoids on HNC was stronger for subjects reporting greater alcohol consumption (p
- Published
- 2016
23. Amidated pleurocidin peptide encapsulated in biodegradable poly(lactide-co-glycolide) microparticles sustains its antibacterial activity against Photobacterium damselae subsp. piscicida in cobia
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Ko, Jing-Chun, Chuang, Shu-Chun, and Yang, Chung-Da
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- 2019
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24. Natural vitamin C intake and the risk of head and neck cancer: A pooled analysis in the International Head and Neck Cancer Epidemiology Consortium
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Edefonti, Valeria, Hashibe, Mia, Parpinel, Maria, Turati, Federica, Serraino, Diego, Matsuo, Keitaro, Olshan, Andrew F, Zevallos, Jose P, Winn, Deborah M, Moysich, Kirsten, Zhang, Zuo-Feng, Morgenstern, Hal, Levi, Fabio, Kelsey, Karl, McClean, Michael, Bosetti, Cristina, Galeone, Carlotta, Schantz, Stimson, Yu, Guo-Pei, Boffetta, Paolo, Amy Lee, Yuan-Chin, Chuang, Shu-Chun, La Vecchia, Carlo, and Decarli, Adriano
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Prevention ,Nutrition ,Dental/Oral and Craniofacial Disease ,Cancer ,Rare Diseases ,Digestive Diseases ,Good Health and Well Being ,Ascorbic Acid ,Case-Control Studies ,Head and Neck Neoplasms ,Humans ,International Agencies ,Italy ,Japan ,Logistic Models ,Risk Factors ,Surveys and Questionnaires ,Switzerland ,United States ,Vitamins ,head and neck cancer ,INHANCE ,laryngeal cancer ,oral and pharyngeal cancer ,vitamin C ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
Evidence of associations between single nutrients and head and neck cancer (HNC) is still more limited and less consistent than that for fruit and vegetables. However, clarification of the protective mechanisms of fruit and vegetables is important to our understanding of HNC etiology. We investigated the association between vitamin C intake from natural sources and cancer of the oral cavity/pharynx and larynx using individual-level pooled data from ten case-control studies (5,959 cases and 12,248 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. After harmonization of study-specific exposure information via the residual method, adjusted odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were estimated using unconditional multiple logistic regression models on quintile categories of 'non-alcohol energy-adjusted' vitamin C intake. In the presence of heterogeneity of the estimated ORs among studies, we derived those estimates from generalized linear mixed models. Higher intakes of vitamin C were inversely related to oral and pharyngeal (OR = 0.54, 95% CI: 0.45-0.65, for the fifth quintile category versus the first one, p for trend
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- 2015
25. A Prospective Study of the Immune System Activation Biomarker Neopterin and Colorectal Cancer Risk
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Aleksandrova, Krasimira, Chuang, Shu-Chun, Boeing, Heiner, Zuo, Hui, Tell, Grethe S, Pischon, Tobias, Jenab, Mazda, Bueno-de-Mesquita, Bas, Vollset, Stein Emil, Midttun, Øivind, Ueland, Per Magne, Fedirko, Veronika, Johansson, Mattias, Weiderpass, Elisabete, Severi, Gianluca, Racine, Antoine, Boutron-Ruault, Marie-Christine, Kaaks, Rudolf, Kühn, Tilman, Tjønneland, Anne, Overvad, Kim, Quirós, J Ramón, Jakszyn, Paula, Sánchez, María-José, Dorronsoro, Miren, Chirlaque, Maria-Dolores, Ardanaz, Eva, Khaw, Kay-Tee, Wareham, Nicholas J, Travis, Ruth C, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrios, Palli, Domenico, Sieri, Sabina, Tumino, Rosario, Panico, Salvatore, May, Anne M, Palmqvist, Richard, Ljuslinder, Ingrid, Kong, So Yeon J, Freisling, Heinz, Gunter, Marc J, Lu, Yunxia, Cross, Amanda J, Riboli, Elio, and Vineis, Paolo
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Colo-Rectal Cancer ,Cancer ,Clinical Research ,Digestive Diseases ,Adult ,Aged ,Biomarkers ,Tumor ,Case-Control Studies ,Chromatography ,Liquid ,Colonic Neoplasms ,Colorectal Neoplasms ,Europe ,Female ,Humans ,Immunity ,Cellular ,Male ,Middle Aged ,Neopterin ,Odds Ratio ,Prospective Studies ,Rectal Neoplasms ,Sensitivity and Specificity ,T-Lymphocytes ,Helper-Inducer ,Tandem Mass Spectrometry ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
Neopterin may be relevant for colorectal cancer (CRC) development, as a biomarker of cellular immune activity exerting pleiotropic effects on cellular ageing, oxidative stress, and inflammation. So far, the association between prediagnostic neopterin and colon and rectal cancer risk has not been evaluated in human populations. A nested case-control study was conducted within the European Prospective Investigation into Cancer and Nutrition cohort using data on plasma concentrations of total neopterin (T-N, sum of neopterin and 7,8-dihydroneopterin) in 830 incident CRC case patients (561 colon and 269 rectal) matched within risk sets to 830 control participants. A subsequent replication study used data from the Hordaland Health Study, where 173 CRC case patients have been diagnosed among 6594 healthy participants over 12 years of follow-up. After multivariable adjustment for a priori chosen CRC risk factors, a "U-shaped" association of T-N with CRC was revealed. Compared with the second quintile of the T-N distribution, the relative risks for the first, third, fourth, and fifth quintiles were 2.37 (95% CI = 1.66 to 3.39), 1.24 (95% CI = 0.87 to 1.77), 1.55 (95% CI = 1.08 to 2.22), and 2.31 (95% CI = 1.63 to 3.27), respectively. Replication of these associations within the Hordaland Health Study yielded similar results. No differences have been observed when the associations were explored by colon and rectal cancer site (two-sided P difference = .87) and after excluding case patients diagnosed within the first four follow-up years. These novel findings provide evidence of the role of both suppressed and activated cell-mediated immunity as reflected by prediagnostic T-N concentrations in the development of CRC.
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- 2015
26. Estimating and explaining the effect of education and income on head and neck cancer risk: INHANCE consortium pooled analysis of 31 case‐control studies from 27 countries
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Conway, David I, Brenner, Darren R, McMahon, Alex D, Macpherson, Lorna MD, Agudo, Antonio, Ahrens, Wolfgang, Bosetti, Cristina, Brenner, Hermann, Castellsague, Xavier, Chen, Chu, Curado, Maria Paula, Curioni, Otávio A, Dal Maso, Luigino, Daudt, Alexander W, de Gois Filho, José F, D'Souza, Gypsyamber, Edefonti, Valeria, Fabianova, Eleonora, Fernandez, Leticia, Franceschi, Silvia, Gillison, Maura, Hayes, Richard B, Healy, Claire M, Herrero, Rolando, Holcatova, Ivana, Jayaprakash, Vijayvel, Kelsey, Karl, Kjaerheim, Kristina, Koifman, Sergio, La Vecchia, Carlo, Lagiou, Pagona, Lazarus, Philip, Levi, Fabio, Lissowska, Jolanta, Luce, Daniele, Macfarlane, Tatiana V, Mates, Dana, Matos, Elena, McClean, Michael, Menezes, Ana M, Menvielle, Gwenn, Merletti, Franco, Morgenstern, Hal, Moysich, Kirsten, Müller, Heiko, Muscat, Joshua, Olshan, Andrew F, Purdue, Mark P, Ramroth, Heribert, Richiardi, Lorenzo, Rudnai, Peter, Schantz, Stimson, Schwartz, Stephen M, Shangina, Oxana, Simonato, Lorenzo, Smith, Elaine, Stucker, Isabelle, Sturgis, Erich M, Szeszenia‐Dabrowska, Neonila, Talamini, Renato, Thomson, Peter, Vaughan, Thomas L, Wei, Qingyi, Winn, Deborah M, Wunsch‐Filho, Victor, Yu, Guo‐Pei, Zhang, Zuo‐Feng, Zheng, Tongzhang, Znaor, Ariana, Boffetta, Paolo, Chuang, Shu‐Chun, Ghodrat, Marianoosh, Lee, Yuan‐Chin Amy, Hashibe, Mia, and Brennan, Paul
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Behavioral and Social Science ,Tobacco ,Dental/Oral and Craniofacial Disease ,Tobacco Smoke and Health ,Cancer ,Prevention ,Substance Misuse ,Basic Behavioral and Social Science ,Reduced Inequalities ,Good Health and Well Being ,Alcohol Drinking ,Case-Control Studies ,Education ,Female ,Follow-Up Studies ,Global Health ,Head and Neck Neoplasms ,Humans ,Income ,Male ,Meta-Analysis as Topic ,Middle Aged ,Prognosis ,Risk Factors ,Smoking ,Socioeconomic Factors ,head and neck cancer ,socioeconomic inequalities ,epidemiology ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
Low socioeconomic status has been reported to be associated with head and neck cancer risk. However, previous studies have been too small to examine the associations by cancer subsite, age, sex, global region and calendar time and to explain the association in terms of behavioral risk factors. Individual participant data of 23,964 cases with head and neck cancer and 31,954 controls from 31 studies in 27 countries pooled with random effects models. Overall, low education was associated with an increased risk of head and neck cancer (OR = 2.50; 95% CI = 2.02 - 3.09). Overall one-third of the increased risk was not explained by differences in the distribution of cigarette smoking and alcohol behaviors; and it remained elevated among never users of tobacco and nondrinkers (OR = 1.61; 95% CI = 1.13 - 2.31). More of the estimated education effect was not explained by cigarette smoking and alcohol behaviors: in women than in men, in older than younger groups, in the oropharynx than in other sites, in South/Central America than in Europe/North America and was strongest in countries with greater income inequality. Similar findings were observed for the estimated effect of low versus high household income. The lowest levels of income and educational attainment were associated with more than 2-fold increased risk of head and neck cancer, which is not entirely explained by differences in the distributions of behavioral risk factors for these cancers and which varies across cancer sites, sexes, countries and country income inequality levels.
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- 2015
27. Adult height and head and neck cancer: a pooled analysis within the INHANCE Consortium
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Leoncini, Emanuele, Ricciardi, Walter, Cadoni, Gabriella, Arzani, Dario, Petrelli, Livia, Paludetti, Gaetano, Brennan, Paul, Luce, Daniele, Stucker, Isabelle, Matsuo, Keitaro, Talamini, Renato, La Vecchia, Carlo, Olshan, Andrew F, Winn, Deborah M, Herrero, Rolando, Franceschi, Silvia, Castellsague, Xavier, Muscat, Joshua, Morgenstern, Hal, Zhang, Zuo-Feng, Levi, Fabio, Dal Maso, Luigino, Kelsey, Karl, McClean, Michael, Vaughan, Thomas L, Lazarus, Philip, Purdue, Mark P, Hayes, Richard B, Chen, Chu, Schwartz, Stephen M, Shangina, Oxana, Koifman, Sergio, Ahrens, Wolfgang, Matos, Elena, Lagiou, Pagona, Lissowska, Jolanta, Szeszenia-Dabrowska, Neonila, Fernandez, Leticia, Menezes, Ana, Agudo, Antonio, Daudt, Alexander W, Richiardi, Lorenzo, Kjaerheim, Kristina, Mates, Dana, Betka, Jaroslav, Yu, Guo-Pei, Schantz, Stimson, Simonato, Lorenzo, Brenner, Hermann, Conway, David I, Macfarlane, Tatiana V, Thomson, Peter, Fabianova, Eleonora, Znaor, Ariana, Rudnai, Peter, Healy, Claire, Boffetta, Paolo, Chuang, Shu-Chun, Lee, Yuan-Chin Amy, Hashibe, Mia, and Boccia, Stefania
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Tobacco Smoke and Health ,Clinical Research ,Prevention ,Tobacco ,Cancer ,Rare Diseases ,Dental/Oral and Craniofacial Disease ,Good Health and Well Being ,Adult ,Aged ,Alcohol Drinking ,Body Height ,Case-Control Studies ,Educational Status ,Female ,Head and Neck Neoplasms ,Humans ,Incidence ,Interviews as Topic ,Logistic Models ,Male ,Middle Aged ,Odds Ratio ,Overweight ,Risk Factors ,Smoking ,Height ,Consortium ,Head and neck neoplasms ,Public Health and Health Services ,Epidemiology - Abstract
Several epidemiological studies have shown a positive association between adult height and cancer incidence. The only study conducted among women on mouth and pharynx cancer risk, however, reported an inverse association. This study aims to investigate the association between height and the risk of head and neck cancer (HNC) within a large international consortium of HNC. We analyzed pooled individual-level data from 24 case-control studies participating in the International Head and Neck Cancer Epidemiology Consortium. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated separately for men and women for associations between height and HNC risk. Educational level, tobacco smoking, and alcohol consumption were included in all regression models. Stratified analyses by HNC subsites were performed. This project included 17,666 cases and 28,198 controls. We found an inverse association between height and HNC (adjusted OR per 10 cm height = 0.91, 95% CI 0.86-0.95 for men; adjusted OR = 0.86, 95% CI 0.79-0.93 for women). In men, the estimated OR did vary by educational level, smoking status, geographic area, and control source. No differences by subsites were detected. Adult height is inversely associated with HNC risk. As height can be considered a marker of childhood illness and low energy intake, the inverse association is consistent with prior studies showing that HNC occur more frequently among deprived individuals. Further studies designed to elucidate the mechanism of such association would be warranted.
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- 2014
28. Diet and the risk of head and neck cancer: a pooled analysis in the INHANCE consortium
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Chuang, Shu-Chun, Jenab, Mazda, Heck, Julia E, Bosetti, Cristina, Talamini, Renato, Matsuo, Keitaro, Castellsague, Xavier, Franceschi, Silvia, Herrero, Rolando, Winn, Deborah M, Vecchia, Carlo La, Morgenstern, Hal, Zhang, Zuo-Feng, Levi, Fabio, Maso, Luigino Dal, Kelsey, Karl, McClean, Michael D, Vaughan, Thomas, Lazarus, Philip, Muscat, Joshua, Ramroth, Heribert, Chen, Chu, Schwartz, Stephen M, Eluf-Neto, Jose, Hayes, Richard B, Purdue, Mark, Boccia, Stefania, Cadoni, Gabriella, Zaridze, David, Koifman, Sergio, Curado, Maria Paula, Ahrens, Wolfgang, Benhamou, Simone, Matos, Elena, Lagiou, Pagona, Szeszenia-Dabrowska, Neonilla, Olshan, Andrew F, Fernandez, Leticia, Menezes, Ana, Agudo, Antonio, Daudt, Alexander W, Merletti, Franco, Macfarlane, Gary J, Kjaerheim, Kristina, Mates, Dana, Holcatova, Ivana, Schantz, Stimson, Yu, Guo-Pei, Simonato, Lorenzo, Brenner, Hermann, Mueller, Heiko, Conway, David I, Thomson, Peter, Fabianova, Eleonora, Znaor, Ariana, Rudnai, Peter, Healy, Claire M, Ferro, Gilles, Brennan, Paul, Boffetta, Paolo, and Hashibe, Mia
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Nutrition ,Cancer ,Prevention ,Clinical Research ,Dental/Oral and Craniofacial Disease ,Adult ,Aged ,Case-Control Studies ,Diet ,Female ,Head and Neck Neoplasms ,Humans ,Male ,Middle Aged ,Risk Factors ,Head and neck cancer ,Fruit and vegetable ,Red meat ,Processed meat ,Oncology and Carcinogenesis ,Public Health and Health Services ,Epidemiology - Abstract
We investigated the association between diet and head and neck cancer (HNC) risk using data from the International Head and Neck Cancer Epidemiology (INHANCE) consortium. The INHANCE pooled data included 22 case-control studies with 14,520 cases and 22,737 controls. Center-specific quartiles among the controls were used for food groups, and frequencies per week were used for single food items. A dietary pattern score combining high fruit and vegetable intake and low red meat intake was created. Odds ratios (OR) and 95% confidence intervals (CI) for the dietary items on the risk of HNC were estimated with a two-stage random-effects logistic regression model. An inverse association was observed for higher-frequency intake of fruit (4th vs. 1st quartile OR = 0.52, 95% CI = 0.43-0.62, p (trend) < 0.01) and vegetables (OR = 0.66, 95% CI = 0.49-0.90, p (trend) = 0.01). Intake of red meat (OR = 1.40, 95% CI = 1.13-1.74, p (trend) = 0.13) and processed meat (OR = 1.37, 95% CI = 1.14-1.65, p (trend) < 0.01) was positively associated with HNC risk. Higher dietary pattern scores, reflecting high fruit/vegetable and low red meat intake, were associated with reduced HNC risk (per score increment OR = 0.90, 95% CI = 0.84-0.97).
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- 2012
29. Diet and the risk of head and neck cancer: A pooled analysis in the INHANCE consortium
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Chuang, Shu-Chun, Jenab, Mazda, Heck, Julia, Olshan, Andrew, Bencko, Vladimir, Schantz, Stimson, Paula Curado, Maria, Mates, Dana, McClean, Michael, Daudt, Alexander, Franceschi, Silvia, Zaridze, David, Koifman, Sergio, Lazarus, Philip, Herrero, Rolando, Fabianova, Eleonora, Maso Luigino, Dal, Zhang, Zuo-Feng, Muscat, Joshua, Talamini, Renato, Rudnai, Peter, Fernandez, Leticia, Lissowska, Jola, Menezes, Ana, Levi, Fabio, Hayes, Richard, Benhamou, Simone, Eluf-Neto, Jose, Boccia, Stefania, and Matos, Elena
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Oncology & Carcinogenesis ,Oncology and Carcinogenesis - Published
- 2009
30. Member Formation Methods Evaluation for a Storm Surge Ensemble Forecast System in Taiwan
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Lin, Chun-Wei, primary, Wu, Tso-Ren, additional, Tsai, Yu-Lin, additional, Chuang, Shu-Chun, additional, Chu, Chi-Hao, additional, and Terng, Chuen-Teyr, additional
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- 2023
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31. Supplementary Figure 1 from Circulating Biomarkers of Tryptophan and the Kynurenine Pathway and Lung Cancer Risk
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Chuang, Shu-Chun, primary, Fanidi, Anouar, primary, Ueland, Per Magne, primary, Relton, Caroline, primary, Midttun, Øivind, primary, Vollset, Stein Emil, primary, Gunter, Marc J., primary, Seckl, Michael J., primary, Travis, Ruth C., primary, Wareham, Nicholas, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Trichopoulos, Dimitrios, primary, Peeters, Petra H.M., primary, Bueno-de-Mesquita, H. Bas, primary, Boeing, Heiner, primary, Wientzek, Angelika, primary, Kuehn, Tilman, primary, Kaaks, Rudolf, primary, Tumino, Rosario, primary, Agnoli, Claudia, primary, Palli, Domenico, primary, Naccarati, Alessio, primary, Aicua, Eva Ardanaz, primary, Sánchez, María-José, primary, Quirós, José Ramón, primary, Chirlaque, María-Dolores, primary, Agudo, Antonio, primary, Johansson, Mikael, primary, Grankvist, Kjell, primary, Boutron-Ruault, Marie-Christine, primary, Clavel-Chapelon, Françoise, primary, Fagherazzi, Guy, primary, Weiderpass, Elisabete, primary, Riboli, Elio, primary, Brennan, Paul J., primary, Vineis, Paolo, primary, and Johansson, Mattias, primary
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- 2023
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32. Supplementary Table 2 from History of Diabetes and Risk of Head and Neck Cancer: A Pooled Analysis from the International Head and Neck Cancer Epidemiology Consortium
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Stott-Miller, Marni, primary, Chen, Chu, primary, Chuang, Shu-Chun, primary, Lee, Yuan-Chin Amy, primary, Boccia, Stefania, primary, Brenner, Hermann, primary, Cadoni, Gabriela, primary, Dal Maso, Luigino, primary, La Vecchia, Carlo, primary, Lazarus, Philip, primary, Levi, Fabio, primary, Matsuo, Keitaro, primary, Morgenstern, Hal, primary, Müller, Heiko, primary, Muscat, Joshua, primary, Olshan, Andrew F., primary, Purdue, Mark P., primary, Serraino, Diego, primary, Vaughan, Thomas L., primary, Zhang, Zuo-Feng, primary, Boffetta, Paolo, primary, Hashibe, Mia, primary, and Schwartz, Stephen M., primary
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- 2023
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33. Supplementary Tables 1-3 from A Sex-Specific Association between a 15q25 Variant and Upper Aerodigestive Tract Cancers
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Chen, Dan, primary, Truong, Therese, primary, Gaborieau, Valerie, primary, Byrnes, Graham, primary, Chabrier, Amelie, primary, Chuang, Shu-chun, primary, Olshan, Andrew F., primary, Weissler, Mark C., primary, Luo, Jingchun, primary, Romkes, Marjorie, primary, Buch, Shama, primary, Nukui, Tomoko, primary, Franceschi, Silvia, primary, Herrero, Rolando, primary, Talamini, Renato, primary, Kelsey, Karl T., primary, Christensen, Brock, primary, McClean, Michael D., primary, Lacko, Martin, primary, Manni, Johannes J., primary, Peters, Wilbert H. M., primary, Lubiński, Jan, primary, Trubicka, Joanna, primary, Lener, Marcin, primary, Muscat, Joshua E., primary, Lazarus, Philip, primary, Wei, Qingyi, primary, Sturgis, Erich M., primary, Zhang, Zuo-Feng, primary, Chang, Shen-Chih, primary, Wang, Renyi, primary, Schwartz, Stephen M., primary, Chen, Chu, primary, Benhamou, Simone, primary, Lagiou, Pagona, primary, Holcátová, Ivana, primary, Richiardi, Lorenzo, primary, Kjaerheim, Kristina, primary, Agudo, Antonio, primary, Castellsagué, Xavier, primary, Macfarlane, Tatiana V., primary, Barzan, Luigi, primary, Canova, Cristina, primary, Thakker, Nalin S., primary, Conway, David I., primary, Znaor, Ariana, primary, Healy, Claire M., primary, Ahrens, Wolfgang, primary, Zaridze, David, primary, Szeszenia-Dabrowska, Neonila, primary, Lissowska, Jolanta, primary, Fabianova, Eleonora, primary, Bucur, Alexandru, primary, Bencko, Vladimir, primary, Foretova, Lenka, primary, Janout, Vladimir, primary, Curado, Maria Paula, primary, Koifman, Sergio, primary, Menezes, Ana, primary, Wünsch-Filho, Victor, primary, Eluf-Neto, José, primary, Fernandez, Leticia, primary, Boccia, Stefania, primary, Hashibe, Mia, primary, Hayes, Richard B., primary, Boffetta, Paolo, primary, Brennan, Paul, primary, and McKay, James D., primary
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- 2023
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34. Supplementary Figure 2 from Circulating Biomarkers of Tryptophan and the Kynurenine Pathway and Lung Cancer Risk
- Author
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Chuang, Shu-Chun, primary, Fanidi, Anouar, primary, Ueland, Per Magne, primary, Relton, Caroline, primary, Midttun, Øivind, primary, Vollset, Stein Emil, primary, Gunter, Marc J., primary, Seckl, Michael J., primary, Travis, Ruth C., primary, Wareham, Nicholas, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Trichopoulos, Dimitrios, primary, Peeters, Petra H.M., primary, Bueno-de-Mesquita, H. Bas, primary, Boeing, Heiner, primary, Wientzek, Angelika, primary, Kuehn, Tilman, primary, Kaaks, Rudolf, primary, Tumino, Rosario, primary, Agnoli, Claudia, primary, Palli, Domenico, primary, Naccarati, Alessio, primary, Aicua, Eva Ardanaz, primary, Sánchez, María-José, primary, Quirós, José Ramón, primary, Chirlaque, María-Dolores, primary, Agudo, Antonio, primary, Johansson, Mikael, primary, Grankvist, Kjell, primary, Boutron-Ruault, Marie-Christine, primary, Clavel-Chapelon, Françoise, primary, Fagherazzi, Guy, primary, Weiderpass, Elisabete, primary, Riboli, Elio, primary, Brennan, Paul J., primary, Vineis, Paolo, primary, and Johansson, Mattias, primary
- Published
- 2023
- Full Text
- View/download PDF
35. Data from A Sex-Specific Association between a 15q25 Variant and Upper Aerodigestive Tract Cancers
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Chen, Dan, primary, Truong, Therese, primary, Gaborieau, Valerie, primary, Byrnes, Graham, primary, Chabrier, Amelie, primary, Chuang, Shu-chun, primary, Olshan, Andrew F., primary, Weissler, Mark C., primary, Luo, Jingchun, primary, Romkes, Marjorie, primary, Buch, Shama, primary, Nukui, Tomoko, primary, Franceschi, Silvia, primary, Herrero, Rolando, primary, Talamini, Renato, primary, Kelsey, Karl T., primary, Christensen, Brock, primary, McClean, Michael D., primary, Lacko, Martin, primary, Manni, Johannes J., primary, Peters, Wilbert H. M., primary, Lubiński, Jan, primary, Trubicka, Joanna, primary, Lener, Marcin, primary, Muscat, Joshua E., primary, Lazarus, Philip, primary, Wei, Qingyi, primary, Sturgis, Erich M., primary, Zhang, Zuo-Feng, primary, Chang, Shen-Chih, primary, Wang, Renyi, primary, Schwartz, Stephen M., primary, Chen, Chu, primary, Benhamou, Simone, primary, Lagiou, Pagona, primary, Holcátová, Ivana, primary, Richiardi, Lorenzo, primary, Kjaerheim, Kristina, primary, Agudo, Antonio, primary, Castellsagué, Xavier, primary, Macfarlane, Tatiana V., primary, Barzan, Luigi, primary, Canova, Cristina, primary, Thakker, Nalin S., primary, Conway, David I., primary, Znaor, Ariana, primary, Healy, Claire M., primary, Ahrens, Wolfgang, primary, Zaridze, David, primary, Szeszenia-Dabrowska, Neonila, primary, Lissowska, Jolanta, primary, Fabianova, Eleonora, primary, Bucur, Alexandru, primary, Bencko, Vladimir, primary, Foretova, Lenka, primary, Janout, Vladimir, primary, Curado, Maria Paula, primary, Koifman, Sergio, primary, Menezes, Ana, primary, Wünsch-Filho, Victor, primary, Eluf-Neto, José, primary, Fernandez, Leticia, primary, Boccia, Stefania, primary, Hashibe, Mia, primary, Hayes, Richard B., primary, Boffetta, Paolo, primary, Brennan, Paul, primary, and McKay, James D., primary
- Published
- 2023
- Full Text
- View/download PDF
36. Data from History of Diabetes and Risk of Head and Neck Cancer: A Pooled Analysis from the International Head and Neck Cancer Epidemiology Consortium
- Author
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Stott-Miller, Marni, primary, Chen, Chu, primary, Chuang, Shu-Chun, primary, Lee, Yuan-Chin Amy, primary, Boccia, Stefania, primary, Brenner, Hermann, primary, Cadoni, Gabriela, primary, Dal Maso, Luigino, primary, La Vecchia, Carlo, primary, Lazarus, Philip, primary, Levi, Fabio, primary, Matsuo, Keitaro, primary, Morgenstern, Hal, primary, Müller, Heiko, primary, Muscat, Joshua, primary, Olshan, Andrew F., primary, Purdue, Mark P., primary, Serraino, Diego, primary, Vaughan, Thomas L., primary, Zhang, Zuo-Feng, primary, Boffetta, Paolo, primary, Hashibe, Mia, primary, and Schwartz, Stephen M., primary
- Published
- 2023
- Full Text
- View/download PDF
37. Supplementary Table 1 from History of Diabetes and Risk of Head and Neck Cancer: A Pooled Analysis from the International Head and Neck Cancer Epidemiology Consortium
- Author
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Stott-Miller, Marni, primary, Chen, Chu, primary, Chuang, Shu-Chun, primary, Lee, Yuan-Chin Amy, primary, Boccia, Stefania, primary, Brenner, Hermann, primary, Cadoni, Gabriela, primary, Dal Maso, Luigino, primary, La Vecchia, Carlo, primary, Lazarus, Philip, primary, Levi, Fabio, primary, Matsuo, Keitaro, primary, Morgenstern, Hal, primary, Müller, Heiko, primary, Muscat, Joshua, primary, Olshan, Andrew F., primary, Purdue, Mark P., primary, Serraino, Diego, primary, Vaughan, Thomas L., primary, Zhang, Zuo-Feng, primary, Boffetta, Paolo, primary, Hashibe, Mia, primary, and Schwartz, Stephen M., primary
- Published
- 2023
- Full Text
- View/download PDF
38. Supplementary Table 4 from History of Diabetes and Risk of Head and Neck Cancer: A Pooled Analysis from the International Head and Neck Cancer Epidemiology Consortium
- Author
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Stott-Miller, Marni, primary, Chen, Chu, primary, Chuang, Shu-Chun, primary, Lee, Yuan-Chin Amy, primary, Boccia, Stefania, primary, Brenner, Hermann, primary, Cadoni, Gabriela, primary, Dal Maso, Luigino, primary, La Vecchia, Carlo, primary, Lazarus, Philip, primary, Levi, Fabio, primary, Matsuo, Keitaro, primary, Morgenstern, Hal, primary, Müller, Heiko, primary, Muscat, Joshua, primary, Olshan, Andrew F., primary, Purdue, Mark P., primary, Serraino, Diego, primary, Vaughan, Thomas L., primary, Zhang, Zuo-Feng, primary, Boffetta, Paolo, primary, Hashibe, Mia, primary, and Schwartz, Stephen M., primary
- Published
- 2023
- Full Text
- View/download PDF
39. Supplementary Table 3 from History of Diabetes and Risk of Head and Neck Cancer: A Pooled Analysis from the International Head and Neck Cancer Epidemiology Consortium
- Author
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Stott-Miller, Marni, primary, Chen, Chu, primary, Chuang, Shu-Chun, primary, Lee, Yuan-Chin Amy, primary, Boccia, Stefania, primary, Brenner, Hermann, primary, Cadoni, Gabriela, primary, Dal Maso, Luigino, primary, La Vecchia, Carlo, primary, Lazarus, Philip, primary, Levi, Fabio, primary, Matsuo, Keitaro, primary, Morgenstern, Hal, primary, Müller, Heiko, primary, Muscat, Joshua, primary, Olshan, Andrew F., primary, Purdue, Mark P., primary, Serraino, Diego, primary, Vaughan, Thomas L., primary, Zhang, Zuo-Feng, primary, Boffetta, Paolo, primary, Hashibe, Mia, primary, and Schwartz, Stephen M., primary
- Published
- 2023
- Full Text
- View/download PDF
40. Supplementary Tables 1-2 from Interaction between Cigarette Smoking and Hepatitis B and C Virus Infection on the Risk of Liver Cancer: A Meta-analysis
- Author
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Chuang, Shu-Chun, primary, Lee, Yuan-Chin Amy, primary, Hashibe, Mia, primary, Dai, Min, primary, Zheng, Tongzhang, primary, and Boffetta, Paolo, primary
- Published
- 2023
- Full Text
- View/download PDF
41. Supplementary Figure 5 from Circulating Biomarkers of Tryptophan and the Kynurenine Pathway and Lung Cancer Risk
- Author
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Chuang, Shu-Chun, primary, Fanidi, Anouar, primary, Ueland, Per Magne, primary, Relton, Caroline, primary, Midttun, Øivind, primary, Vollset, Stein Emil, primary, Gunter, Marc J., primary, Seckl, Michael J., primary, Travis, Ruth C., primary, Wareham, Nicholas, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Trichopoulos, Dimitrios, primary, Peeters, Petra H.M., primary, Bueno-de-Mesquita, H. Bas, primary, Boeing, Heiner, primary, Wientzek, Angelika, primary, Kuehn, Tilman, primary, Kaaks, Rudolf, primary, Tumino, Rosario, primary, Agnoli, Claudia, primary, Palli, Domenico, primary, Naccarati, Alessio, primary, Aicua, Eva Ardanaz, primary, Sánchez, María-José, primary, Quirós, José Ramón, primary, Chirlaque, María-Dolores, primary, Agudo, Antonio, primary, Johansson, Mikael, primary, Grankvist, Kjell, primary, Boutron-Ruault, Marie-Christine, primary, Clavel-Chapelon, Françoise, primary, Fagherazzi, Guy, primary, Weiderpass, Elisabete, primary, Riboli, Elio, primary, Brennan, Paul J., primary, Vineis, Paolo, primary, and Johansson, Mattias, primary
- Published
- 2023
- Full Text
- View/download PDF
42. Supplementary Figure 4 from Circulating Biomarkers of Tryptophan and the Kynurenine Pathway and Lung Cancer Risk
- Author
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Chuang, Shu-Chun, primary, Fanidi, Anouar, primary, Ueland, Per Magne, primary, Relton, Caroline, primary, Midttun, Øivind, primary, Vollset, Stein Emil, primary, Gunter, Marc J., primary, Seckl, Michael J., primary, Travis, Ruth C., primary, Wareham, Nicholas, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Trichopoulos, Dimitrios, primary, Peeters, Petra H.M., primary, Bueno-de-Mesquita, H. Bas, primary, Boeing, Heiner, primary, Wientzek, Angelika, primary, Kuehn, Tilman, primary, Kaaks, Rudolf, primary, Tumino, Rosario, primary, Agnoli, Claudia, primary, Palli, Domenico, primary, Naccarati, Alessio, primary, Aicua, Eva Ardanaz, primary, Sánchez, María-José, primary, Quirós, José Ramón, primary, Chirlaque, María-Dolores, primary, Agudo, Antonio, primary, Johansson, Mikael, primary, Grankvist, Kjell, primary, Boutron-Ruault, Marie-Christine, primary, Clavel-Chapelon, Françoise, primary, Fagherazzi, Guy, primary, Weiderpass, Elisabete, primary, Riboli, Elio, primary, Brennan, Paul J., primary, Vineis, Paolo, primary, and Johansson, Mattias, primary
- Published
- 2023
- Full Text
- View/download PDF
43. Supplementary Figure 3 from Circulating Biomarkers of Tryptophan and the Kynurenine Pathway and Lung Cancer Risk
- Author
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Chuang, Shu-Chun, primary, Fanidi, Anouar, primary, Ueland, Per Magne, primary, Relton, Caroline, primary, Midttun, Øivind, primary, Vollset, Stein Emil, primary, Gunter, Marc J., primary, Seckl, Michael J., primary, Travis, Ruth C., primary, Wareham, Nicholas, primary, Trichopoulou, Antonia, primary, Lagiou, Pagona, primary, Trichopoulos, Dimitrios, primary, Peeters, Petra H.M., primary, Bueno-de-Mesquita, H. Bas, primary, Boeing, Heiner, primary, Wientzek, Angelika, primary, Kuehn, Tilman, primary, Kaaks, Rudolf, primary, Tumino, Rosario, primary, Agnoli, Claudia, primary, Palli, Domenico, primary, Naccarati, Alessio, primary, Aicua, Eva Ardanaz, primary, Sánchez, María-José, primary, Quirós, José Ramón, primary, Chirlaque, María-Dolores, primary, Agudo, Antonio, primary, Johansson, Mikael, primary, Grankvist, Kjell, primary, Boutron-Ruault, Marie-Christine, primary, Clavel-Chapelon, Françoise, primary, Fagherazzi, Guy, primary, Weiderpass, Elisabete, primary, Riboli, Elio, primary, Brennan, Paul J., primary, Vineis, Paolo, primary, and Johansson, Mattias, primary
- Published
- 2023
- Full Text
- View/download PDF
44. Data from Interaction between Cigarette Smoking and Hepatitis B and C Virus Infection on the Risk of Liver Cancer: A Meta-analysis
- Author
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Chuang, Shu-Chun, primary, Lee, Yuan-Chin Amy, primary, Hashibe, Mia, primary, Dai, Min, primary, Zheng, Tongzhang, primary, and Boffetta, Paolo, primary
- Published
- 2023
- Full Text
- View/download PDF
45. Analysis of the different type collagen with pixel-resolution by Dual-LC PSHG microscopy (Conference Presentation)
- Author
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Lien, Chi-Hsiang, primary, Nair, Anupama, additional, Chuang, Shu‐Chun, additional, Lin, Yi-Shan, additional, Lin, Chun-Yu, additional, Chen, Chung-Hwan, additional, and Chen, Shean-Jen, additional
- Published
- 2023
- Full Text
- View/download PDF
46. Alcohol consumption and liver cancer risk: a meta-analysis
- Author
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Chuang, Shu-Chun, Lee, Yuan-Chin Amy, Wu, Guo-Jie, Straif, Kurt, and Hashibe, Mia
- Published
- 2015
47. The Role of Autophagy in Osteoarthritic Cartilage
- Author
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Kao, Wei-Chun, primary, Chen, Jian-Chih, additional, Liu, Ping-Cheng, additional, Lu, Cheng-Chang, additional, Lin, Sung-Yen, additional, Chuang, Shu-Chun, additional, Wu, Shun-Cheng, additional, Chang, Ling-hua, additional, Lee, Mon-Juan, additional, Yang, Chung-Da, additional, Lee, Tien-Ching, additional, Wang, Ying-Chun, additional, Li, Jhong-You, additional, Wei, Chun-Wang, additional, and Chen, Chung-Hwan, additional
- Published
- 2022
- Full Text
- View/download PDF
48. Ablation of Discoidin Domain Receptor 1 Provokes an Osteopenic Phenotype by Regulating Osteoblast/Osteocyte Autophagy and Apoptosis
- Author
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Chou, Hsin-Chiao, primary, Lin, Sung-Yen, additional, Chou, Liang-Yin, additional, Ho, Mei-Ling, additional, Chuang, Shu-Chun, additional, Cheng, Tsung-Lin, additional, Kang, Lin, additional, Lin, Yi-Shan, additional, Wang, Yan-Hsiung, additional, Wei, Chun-Wang, additional, Chen, Chung-Hwan, additional, and Wang, Chau-Zen, additional
- Published
- 2022
- Full Text
- View/download PDF
49. Earthworms and Post-Agricultural Succession
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González, Grizelle, Huang, Ching-Yu, Chuang, Shu-Chun, and Myster, Randall W.
- Published
- 2008
- Full Text
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50. Analysis of collagen types I and II at bone fracture healing tissue using polarization SHG
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Nair, Anupama, primary, Chuang, Shu-Chun, additional, Lin, Yi-Shan, additional, Chen, Chung-Hwan, additional, Lien, Chi-Hsiang, additional, and Chen, Shean-Jen, additional
- Published
- 2022
- Full Text
- View/download PDF
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