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Molecular Carcinogenesis 2020年第7期59卷

作者： Elizabeth Mitchell Sonali Jindal Tiffany Chan Jayasri Narasimhan Shamilene Sivagnanam Elliot Gray Young Hwan Chang Sheila Weinmann Pepper Schedin Department of Cell Developmental and Cancer Biology Oregon Health and Science University Portland Oregon Cancer Prevention and Control Knight Cancer Institute Oregon Health and Science University Portland Oregon Computational Biology Program Department of Cell Developmental and Cancer Biology Oregon Health and Science University Portland Oregon Department of Biomedical Engineering Oregon Center for Spatial Systems Biomedicine Oregon Health and Science University Portland Oregon Center for Health Research Kaiser Permanente Northwest Portland Oregon

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Fear of cancer Recurrence Associated with Perceived Cognitive Impairment among Women with cancers: Findings from the Women's Health Initiative Life and Longevity After cancer Study

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Preventive oncology & epidemiology 2023年第1期1卷 2292359页

作者： Yesol Yang Eric M McLaughlin Michelle J Naughton Diane Von Ah Nazmus Saquib Judith E Carroll Lihong Qi Dorothy S Lane Tonya S Orchard Electra D Paskett Department of Internal Medicine The Ohio State University Comprehensive Cancer Center-James Columbus OH USA. The Ohio State University Center for Biostatistics Columbus OH USA. Division of Cancer Prevention and Control Department of Medicine College of Medicine The Ohio State University Columbus OH USA. College of Nursing Center for Healthy Aging Self-Management and Complex Care The Ohio State University Columbus OH USA. College of Medicine Sulaiman AlRajhi University Albukairiyah Saudi Arabia. Department of Psychiatry Cousins Center for Psychoneuroimmunology University of California Los Angeles David Geffen School of Medicine Jane & Terry Semel Institute for Neuroscience & Human Behavior Los Angeles CA USA. Department of Public Health Sciences School of Medicine University of California Davis Davis CA USA. Department of Family Population & Preventive Medicine Renaissance School of Medicine Stony Brook University Stony Brook NY USA. Human Nutrition Program Department of Human Sciences College of Education and Human Ecology The Ohio State University Columbus OH USA.

Background:Perceived cognitive impairments(PCI) are the most common complications that Non-Central Nervous System (Non-CNS) cancers survivors experience. Studies have suggested that those who expreience fear of cancer recurrence (FCR) tend to report cognitive problems; however, this association has not been examined. Methods:Participants (n = 6,714) were enrolled in the Women's Health Initiative Life and Longevity After cancer study. FCR was assessed using the cancer Worry Scale and PCI was assessed using the PCI subscale of FACT-Cog. The association between FCR and PCI was analyzed using univariable and multivariable logistic regression models. A cut off score of ≥ 14 is indicative of high FCR and below 14 indicating low FCR. Scores lower than 60 indicated PCI. Result:The multivariable model showed that higher FCR corresponded to an increase in odds of PCI (OR = 1.15, < 0.001). We also found that older age at diagnosis ( < 0.001), less social support ( = 0.01), over ten pounds of weight gain after cancer treatment ( = 0.02), and mild or worse anxiety ( < 0.001) were also associated with increased odds of PCI from the multivariable analysis. Discussion:Our findings indicate that survivors with higher FCR demonstrated poorer cognitive performance than those with lower FCR. These results suggest that those with higher FCR are more likely to report PCI.

关键词： cancer survivors Cognition Fear of cancer recurrence Older women

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880Dietary inflammatory index and the risk of adult depression symptoms

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International Journal of Epidemiology 2021年第SUPPLEMENT_1期50卷

作者： Shakya, Prem Melaku, Yohannes Adama Page, Amanda J Adams, Robert J Shivappa, Nitin Hébert, James R Gill, Tiffany K Vagal Afferent Research Group University of Adelaide Adelaide Australia Nutrition Diabetes and Metabolism Lifelong Health South Australian Health and Medical Research Institute (SAHMRI) Adelaide Australia Adelaide Institute for Sleep Health (AISH) Flinders University Bedford Park Australia Adelaide Medical School University of Adelaide Adelaide Australia Cancer Prevention and Control Program University of South Carolina Columbia USA Department of Epidemiology and Biostatistics Arnold School of Public Health University of South Carolina Columbia USA

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Reply to V Gianfredi et al

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Advances in nutrition (Bethesda, Md.) 2022年第2期13卷 685-686页

作者： Wolfgang Marx Nicola Veronese Jaimon Kelly Sam Collins Gina L Trakman Alexandra Wade Melissa Lane Hajara Aslam Adrienne O'Neil James R Hebert Lauren Blekkenhorst Michael Berk Felice Jacka From Deakin University The Institute for Mental and Physical Health and Clinical Translation (IMPACT) Food & Mood Centre School of Medicine Barwon Health Geelong Victoria Australia. Electronic address: wolf.marx@deakin.edu.au. Aging Branch Neuroscience Institute National Research Council Padova Italy. Centre of Applied Health Economics Griffith University Brisbane Queensland Australia Menzies Health Institute Queensland Griffith University Gold Coast Queensland Australia. From Deakin University The Institute for Mental and Physical Health and Clinical Translation (IMPACT) Food & Mood Centre School of Medicine Barwon Health Geelong Victoria Australia. Department of Dietetics Nutrition and Sport La Trobe University Melbourne Victoria Australia. Alliance for Research in Exercise Nutrition and Activity Allied Health and Human Performance University of South Australia Adelaide South Australia Australia. Melbourne School of Population & Global Health University of Melbourne Melbourne Victoria Australia. Department of Epidemiology and Biostatistics and Cancer Prevention and Control Program Arnold School of Public Health University of South Carolina Columbia SC USA Department of Nutrition Connecting Health Innovations LLC Columbia SC USA. School of Medical and Health Sciences Edith Cowan University Joondalup Western Australia Australia Medical School The University of Western Australia Perth Western Australia Australia. Black Dog Institute Sydney New South Wales Australia James Cook University Townsville Queensland Australia Centre for Adolescent Health Murdoch Children's Research Institute Melbourne Victoria Australia.

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Sex-Specific Effects of Prenatal Exposure to Endocrine Disrupting Chemicals on Adverse Birth Outcomes: Results from the Korean Children's Environmental Health Study (Ko-Chens)

SSRN

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SSRN 2025年

作者： Oh, Jongmin Shah, Surabhi Lee, Kyung A. Park, Eunkyo Lee, Dong-Wook Hong, Yun-Chul Song, Sanghwan Kim, Sung Yeon Park, Huibyeol Ha, Eunhee Kim, Suejin Park, Choonghee Song, Sanghwan Lee, Jueun Park, Huibyeol Jo, JungHeum Jung, A-Ra Yu, Seung Do Kim, Hyun Jeong Jung, Soon-Won Hong, Sooyeon Seo, Heung Won Hwang, Namkyoung Kang, Tack Shin Jeong, Dong Jin Lee, Seungjune Kim, Hwan-Cheol Jeong, Kyoung Sook Kim, Byungmi Lee, Seulbi Kim, Hyesook Kook, Hoon Baek, Hee Jo Moon, Jai Dong Park, Won Ju Shin, Myung-Geun Ha, Mina Paik, Ki-Chung Kwon, Ho-Jang Lim, Myung-Ho Yoo, Seung Jin Bae, Sanghyuk Kim, Jin Kyung Bae, Jisuk Hong, Young-Seoub Kim, Yu-Mi Son, Hyunjin Park, Mi-Hye Lim, Dae Hyun Kim, Jeong Hee Hong, Sung-Chul Lee, Keun Hwa Kim, Su-Young Kim, Woo Jin Na, Sunghun Lim, Myoung-Nam Yoo, Young Song, Dae Jin Lee, Jue Seong Yoon, Wonsuck Choe, Seung-Ah Kim, Seunghyun Choung, Ji Tae Kim, Sukyung Kim, Jihyun Ahn, Kangmo Hong, Yun-Chul Choi, Baek-Yong Ryoo, Seung-Woo Son, Seok-Yoon Lee, Ji-Hyeon Lee, Dong-Wook Woo, KuckHyeun Yoon, Seong Yong Hur, Jongil Choi, Kyung-Hwa Park, Myung-Sook Lee, Seung-Hwa Chu, Yeonhee Kim, Jung-Ah Kim, Yangho Lee, Jiho Sim, Chang Sun Kim, A. Ram Oh, Inbo Department of Environmental Medicine School of Medicine Ewha Womans University Seoul Korea Republic of College of Medicine Ewha Womans University Seoul Korea Republic of Department of Human Systems Medicine College of Medicine Seoul National University Seoul Korea Republic of Department of Obstetrics and Gynecology Ewha Womans University College of Medicine Seoul Korea Republic of Department of Occupational and Environmental Medicine Inha University Hospital Inha University Incheon Korea Republic of Institute of Environmental Medicine Medical Research Center Seoul National University Korea Republic of Environmental Health Research Division National Institute of Environmental Research Incheon Korea Republic of Graduate Program in System Health Science and Engineering Ewha Womans University Ewha Medical Research Institute College of Medicine Seoul Korea Republic of Environmental Health Research Division Department of Environmental Health Research National Institute of Environmental Research Ministry of Environment Incheon Korea Republic of Environmental Health Policy Division Office of Environmental Health Ministry of Environment Sejong Korea Republic of Department of Occupational and Environmental Medicine Inha University School of Medicine Incheon Korea Republic of Department of Occupational and Environmental Medicine Wonju Severance Christian Hospital Wonju College of Medicine Yonsei University Wonju Korea Republic of Division of Cancer Prevention National Cancer Control Institute National Cancer Center Goyang Korea Republic of Department of Big Data Strategy National Health Insurance Service Wonju Korea Republic of Department of Food and Nutrition Wonkwang University Iksan Korea Republic of Environmental Health Center for Childhood Leukemia and Cancer Department of Pediatrics Chonnam National University Hwasun Hospital Hwasun Korea Republic of Environmental Health Center for Childhood Leukemia and Cancer Department of Occupational and

Objectives Although previous epidemiological studies have reported the effects of fetal exposure to phthalates and phenols on birth outcomes, evidence is limited. The objective of this study was to investigate whether prenatal exposure to endocrine-disrupting chemicals [EDCs;phthalates and bisphenol A (BPA)] is associated with birth outcomes and whether there are sex-specific *** We used data from the Korean CHildren’s ENvironmental health Study (Ko-CHENS) cohort. Exposure to phthalates and BPA was measured by urine tests, and the information on outcomes and confounders was obtained from delivery records, biomarker assessment, and a self-reported questionnaire. We performed multivariate logistic regression to estimate the association between exposure to individual EDCs and each birth outcome. Additionally, to evaluate the effects of EDC mixture exposure, we performed weighted quantile sum regression analysis. Subgroup analysis stratified by maternal age and sex at birth was performed to examine potential differences in *** This study included 2,176 mother-child pairs from the Ko-CHENS. We observed a significant association between the risk of PTB and exposure to BPA during early pregnancy and mono-carboxyoctyl phthalate (MCOP) during late pregnancy, with odds ratios of 1.23 (95% CI: 1.01, 1.49) and 1.29 (95% CI: 1.03, 1.62), respectively. Additionally, there was a positive association between exposure to MCOP during early pregnancy and the risk of LBW (OR: 1.39, 95% CI: 1.03, 1.89). For male infants, exposure to MCOP during early pregnancy was associated with the risk of LBW (OR: 2.44, 95% CI: 1.43, 4.15), and exposure to MCOP during late pregnancy was associated with the risk of PTB (OR 1.45, 95% CI: 1.05, 2.02).Conclusions This study presents quantitative evidence for the association between prenatal exposure to EDCs, especially BPA and MCOP, and PTB/LBW. Moreover, the effect was particularly pronounced for older mothers (≥35 years) an

关键词： Obstetrics

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Association between the inflammatory potential of diet and stress relative to inflammatory markers among female college students

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Clinical Nutrition ESPEN 2020年 40卷 530-530页

作者： Alfreeh, L. Abulmeaty, M. Alam, I. Shivappa, N. Hebert, J. Aljuraiban, G. Department of Community Health Sciences College of Applied Medical Sciences King Saud University Riyadh Saudi Arabia Medical Physiology Department Faculty of Medicine Zagazig University Zagazig Egypt Department of Epidemiology & Biostatistics United States Department of Cancer Prevention and Control Program University of South Carolina Columbia United States

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Correction to: Machine Learning for Identifying Emotional Expression in Text: Improving the Accuracy of Established Methods

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Journal of technology in behavioral science 2020年第4期5卷 416页

作者： Erin Bantum Noémie Elhadad Jason E Owen Shaodian Zhang Mitch Golant Joanne Buzaglo Joanne Stephen Janine Giese-Davis Cancer Prevention & Control Program University of Hawaii Cancer Center Honolulu HI USA. Biomedical Informatics Columbia University New York NY USA. Dissemination & Training Division VA Palo Alto Health Care System Livermore CA USA. Cancer Support Community Washington DC USA. Alberta Health Services Calgary Alberta Canada. Cumming School of Medicine Department of Oncology University of Calgary Calgary Alberta Canada.

[This corrects the article PMC7467127.].

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Analysis of more than 400,000 women provides case-control evidence for BRCA1 and BRCA2 variant classification

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Nature communications 2025年第1期16卷 4852页

作者： Maria Zanti Denise G O'Mahony Michael T Parsons Leila Dorling Joe Dennis Nicholas J Boddicker Wenan Chen Chunling Hu Marc Naven Kristia Yiangou Thomas U Ahearn Christine B Ambrosone Irene L Andrulis Antonis C Antoniou Paul L Auer Caroline Baynes Clara Bodelon Natalia V Bogdanova Stig E Bojesen Manjeet K Bolla Kristen D Brantley Nicola J Camp Archie Campbell Jose E Castelao Melissa H Cessna Jenny Chang-Claude Fei Chen Georgia Chenevix-Trench Don M Conroy Kamila Czene Arcangela De Nicolo Susan M Domchek Thilo Dörk Alison M Dunning A Heather Eliassen D Gareth Evans Peter A Fasching Jonine D Figueroa Henrik Flyger Manuela Gago-Dominguez Montserrat García-Closas Gord Glendon Anna González-Neira Felix Grassmann Andreas Hadjisavvas Christopher A Haiman Ute Hamann Steven N Hart Mikael B A Hartman Weang-Kee Ho James M Hodge Reiner Hoppe Sacha J Howell Anna Jakubowska Elza K Khusnutdinova Yon-Dschun Ko Peter Kraft Vessela N Kristensen James V Lacey Jingmei Li Geok Hoon Lim Sara Lindström Artitaya Lophatananon Craig Luccarini Arto Mannermaa Maria Elena Martinez Dimitrios Mavroudis Roger L Milne Kenneth Muir Katherine L Nathanson Rocio Nuñez-Torres Nadia Obi Janet E Olson Julie R Palmer Mihalis I Panayiotidis Alpa V Patel Paul D P Pharoah Eric C Polley Muhammad U Rashid Kathryn J Ruddy Emmanouil Saloustros Elinor J Sawyer Marjanka K Schmidt Melissa C Southey Veronique Kiak-Mien Tan Soo Hwang Teo Lauren R Teras Diana Torres Amy Trentham-Dietz Thérèse Truong Celine M Vachon Qin Wang Jeffrey N Weitzel Siddhartha Yadav Song Yao Gary R Zirpoli Melissa S Cline Peter Devilee Sean V Tavtigian David E Goldgar Fergus J Couch Douglas F Easton Amanda B Spurdle Kyriaki Michailidou Biostatistics Unit The Cyprus Institute of Neurology & Genetics Nicosia Cyprus. Department of Medical Genetics Oslo University Hospital Oslo Norway. Population Health Program QIMR Berghofer Medical Research Institute Brisbane Queensland Australia. Centre for Cancer Genetic Epidemiology Department of Public Health and Primary Care University of Cambridge Cambridge UK. Department of Quantitative Health Sciences Division of Computational Biology Mayo Clinic Rochester MN USA. Department of Laboratory Medicine and Pathology Mayo Clinic Rochester MN USA. Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Department of Health and Human Services Bethesda MD USA. Department of Cancer Prevention and Control Roswell Park Comprehensive Cancer Institute Buffalo NY USA. Fred A. Litwin Center for Cancer Genetics Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital Toronto Ontario Canada. Department of Molecular Genetics University of Toronto Toronto Ontario Canada. Division of Biostatistics Data Science Institute and Cancer Center Medical College of Wisconsin Milwaukee WI USA. Centre for Cancer Genetic Epidemiology Department of Oncology University of Cambridge Cambridge UK. Department of Population Science American Cancer Society Atlanta GA USA. Radiation Oncology Research Unit Hannover Medical School Hannover Germany. Copenhagen General Population Study Herlev and Gentofte Hospital Copenhagen University Hospital Herlev Denmark. Department of Clinical Biochemistry Herlev and Gentofte Hospital Copenhagen University Hospital Herlev Denmark. Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark. Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA. Department of Internal Medicine and Huntsman Cancer Institute University of Utah Salt Lake City UT USA. Centre for Genomic and Experimental Medicine Institute of Genetics & Cancer The University of Ed

Clinical genetic testing identifies variants causal for hereditary cancer, information that is used for risk assessment and clinical management. Unfortunately, some variants identified are of uncertain clinical significance (VUS), complicating patient management. Case-control data is one evidence type used to classify VUS. As an initiative of the Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) Analytical Working Group we analyze germline sequencing data of BRCA1 and BRCA2 from 96,691 female breast cancer cases and 302,116 controls from three studies: the BRIDGES study of the Breast cancer Association Consortium, the cancer Risk Estimates Related to Susceptibility consortium, and the UK Biobank. We observe 11,207 BRCA1 and BRCA2 variants, with 6909 being coding, covering 23.4% of BRCA1 and BRCA2 VUS in ClinVar and 19.2% of ClinVar curated (likely) benign or pathogenic variants. Case-control likelihood ratio (ccLR) evidence is highly consistent with ClinVar assertions for (likely) benign or pathogenic variants; exhibiting 99.1% sensitivity and 95.3% specificity for BRCA1 and 93.3% sensitivity and 86.6% specificity for BRCA2. This approach provides case-control evidence for 787 unclassified variants; these include 579 with strong or moderate benign evidence and 10 with strong pathogenic evidence for which ccLR evidence is sufficient to alter clinical classification.

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A tale of two tools: Reliability and feasibility of social media measurement tools examining e-cigarette twitter mentions

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Informatics in Medicine Unlocked 2017年 8卷 8-12页

作者： Burke-Garcia, Amelia Stanton, Cassandra A. Westat 1600 Research Blvd Rockville 20850 MD United States Department of Oncology Georgetown University Medical Center/Cancer Prevention and Control Program Lombardi Comprehensive Cancer Center United States

Given 70% of Americans are seeking health information online, social media are becoming main sources of health-related information and discussions. Specifically, compounding rising trends in use of e-cigarettes in the US, there has been a rapid rise in e-cigarette marketing – much of which is happening on social media. Public health professionals seeking to understand consumer knowledge, attitudes and beliefs about e-cigarettes should consider analyzing social media data and to do so, there are numerous free and paid tools available. However, each uses different sources and processes, which makes data validation challenging. This exploratory study sought to understand the reliability and feasibility of two social media data tools analyzing e-cigarette tweets. Twitter mentions were pulled from two different industry standard tools (GNIP and Radian6) and data were evaluated on six measures, e.g. Cost, Feasibility, Ease of Use, Poster Type (individual/organization), Context (tweet content analysis), and Valence (positive/negative). Findings included similarities amongst the data sets in terms of the content themes but differences in cost and ease of use of the tools themselves. These findings align with prior research, notably that e-cigarette marketing tweets are most common and public health-related content is noticeably absent. Findings from this exploratory study can inform future social media studies as well as communication campaigns seeking to address the emerging issue of e-cigarette use. © 2017

关键词： E-cigarettes Social media Tweets Twitter Vaping

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Tuberculosis infection and lung adenocarcinoma: Mendelian randomization and pathway analysis of genome-wide association study data from never-smoking Asian women

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Genomics 2020年第2期112卷 1223-1232页

作者： Jason Y Y Wong Han Zhang Chao A Hsiung Kouya Shiraishi Kai Yu Keitaro Matsuo Maria Pik Wong Yun-Chul Hong Jiucun Wang Wei Jie Seow Zhaoming Wang Minsun Song Hee Nam Kim I-Shou Chang Nilanjan Chatterjee Wei Hu Chen Wu Tetsuya Mitsudomi Wei Zheng Jin Hee Kim Adeline Seow Neil E Caporaso Min-Ho Shin Lap Ping Chung She-Juan An Ping Wang Yang Yang Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young Tae Kim Qiuyin Cai Zhihua Yin Young-Chul Kim Bryan A Bassig Jiang Chang James Chung Man Ho Bu-Tian Ji Yataro Daigo Hidemi Ito Yukihide Momozawa Kyota Ashikawa Yoichiro Kamatani Takayuki Honda H Dean Hosgood Hiromi Sakamoto Hideo Kunitoh Koji Tsuta Shun-Ichi Watanabe Michiaki Kubo Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Masahiro Tsuboi Koichi Goto Jianxin Shi Lei Song Xing Hua Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Kimihiro Shimizu Kazumi Tanaka Fusheng Wei Fumihiko Matsuda Jian Su Yeul Hong Kim In-Jae Oh Fengju Song Wu-Chou Su Yu-Min Chen Gee-Chen Chang Kuan-Yu Chen Ming-Shyan Huang Li-Hsin Chien Yong-Bing Xiang Jae Yong Park Sun-Seog Kweon Chien-Jen Chen Kyoung-Mu Lee Batel Blechter Haixin Li Yu-Tang Gao Biyun Qian Daru Lu Jianjun Liu Hyo-Sung Jeon Chin-Fu Hsiao Jae Sook Sung Ying-Huang Tsai Yoo Jin Jung Huan Guo Zhibin Hu Wen-Chang Wang Charles C Chung Laurie Burdett Meredith Yeager Amy Hutchinson Sonja I Berndt Wei Wu Herbert Pang Yuqing Li Jin Eun Choi Kyong Hwa Park Sook Whan Sung Li Liu C H Kang Meng Zhu Chung-Hsing Chen Tsung-Ying Yang Jun Xu Peng Guan Wen Tan Chih-Liang Wang Michael Hsin Ko-Yung Sit James Ho Ying Chen Yi Young Choi Jen-Yu Hung Jun Suk Kim Ho Il Yoon Chien-Chung Lin In Kyu Park Ping Xu Yuzhuo Wang Qincheng He Reury-Perng Perng Chih-Yi Chen Roel Vermeulen Junjie Wu Wei-Yen Lim Kun-Chieh Chen Yao-Jen Li Jihua Li Hongyan Chen Chong-Jen Yu Li Jin Tzu-Yu Chen Shih-Sheng Jiang Jie Liu Taiki Yamaji Belynda Hicks Kathleen Wyatt Shengchao A Li Juncheng Dai Hongxia Ma Guangfu Jin Bao Song Zhehai Wang Sensen Cheng Xuelian Li Yangwu Ren Ping Cui Motoki Iwasaki Taichi Shimazu Shoichiro Tsugane Junjie Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Electronic address: jason.wong@nih.gov. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Division of Genome Biology National Cancer Center Research Institute Tokyo Japan. Division of Cancer Epidemiology and Prevention Aichi Cancer Center Research Institute Nagoya Japan Department of Cancer Epidemiology Nagoya University Graduate School of Medicine Nagoya Japan. Department of Pathology Queen Mary Hospital The University of Hong Kong Hong Kong. Department of Preventive Medicine Seoul National University College of Medicine Seoul Republic of Korea. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai China State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China. Saw Swee Hock School of Public Health National University of Singapore Singapore. Cancer Genomics Research Laboratory Leidos Biomedical Research Inc Gaithersburg MD USA Department of Computational Biology St. Jude Children's Research Hospital Memphis TN USA. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA Department of Statistics Sookmyung Women's University Seoul Republic of Korea. Department of Preventive Medicine Chonnam National University Medical School Gwangju Republic of Korea. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Bloomberg School of Public Health Johns Hopkins University Baltimore MD USA. Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology Cancer Institute and Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China. Division of Thoracic Surgery Kinki University School of Medicine Sayama Japan. Division of

We investigated whether genetic susceptibility to tuberculosis (TB) influences lung adenocarcinoma development among never-smokers using TB genome-wide association study (GWAS) results within the Female Lung cancer Consortium in Asia. Pathway analysis with the adaptive rank truncated product method was used to assess the association between a TB-related gene-set and lung adenocarcinoma using GWAS data from 5512 lung adenocarcinoma cases and 6277 controls. The gene-set consisted of 31 genes containing known/suggestive associations with genetic variants from previous TB-GWAS. Subsequently, we followed-up with Mendelian Randomization to evaluate the association between TB and lung adenocarcinoma using three genome-wide significant variants from previous TB-GWAS in East Asians. The TB-related gene-set was associated with lung adenocarcinoma (p = 0.016). Additionally, the Mendelian Randomization showed an association between TB and lung adenocarcinoma (OR = 1.31, 95% CI: 1.03, 1.66, p = 0.027). Our findings support TB as a causal risk factor for lung cancer development among never-smoking Asian women.

关键词： Lung adenocarcinoma Lung cancer Mendelian randomization Pathway analysis Tuberculosis

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