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Gorman BR, Ji SG, Francis M, Sendamarai AK, Shi Y, Devineni P, Saxena U, Partan E, DeVito AK, Byun J, Han Y, Xiao X, Sin DD, Timens W, Moser J, Muralidhar S, Ramoni R, Hung RJ, McKay JD, Bossé Y, Sun R, Amos CI, Pyarajan S. Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk. Nat Commun 2024; 15:8629. [PMID: 39366959 DOI: 10.1038/s41467-024-52129-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 08/27/2024] [Indexed: 10/06/2024] Open
Abstract
Lung cancer remains the leading cause of cancer mortality, despite declining smoking rates. Previous lung cancer GWAS have identified numerous loci, but separating the genetic risks of lung cancer and smoking behavioral susceptibility remains challenging. Here, we perform multi-ancestry GWAS meta-analyses of lung cancer using the Million Veteran Program cohort (approximately 95% male cases) and a previous study of European-ancestry individuals, jointly comprising 42,102 cases and 181,270 controls, followed by replication in an independent cohort of 19,404 cases and 17,378 controls. We then carry out conditional meta-analyses on cigarettes per day and identify two novel, replicated loci, including the 19p13.11 pleiotropic cancer locus in squamous cell lung carcinoma. Overall, we report twelve novel risk loci for overall lung cancer, lung adenocarcinoma, and squamous cell lung carcinoma, nine of which are externally replicated. Finally, we perform PheWAS on polygenic risk scores for lung cancer, with and without conditioning on smoking. The unconditioned lung cancer polygenic risk score is associated with smoking status in controls, illustrating a reduced predictive utility in non-smokers. Additionally, our polygenic risk score demonstrates smoking-independent pleiotropy of lung cancer risk across neoplasms and metabolic traits.
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Affiliation(s)
- Bryan R Gorman
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
- Booz Allen Hamilton, McLean, VA, USA
| | - Sun-Gou Ji
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
- BridgeBio Pharma, Palo Alto, CA, USA
| | - Michael Francis
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
- Booz Allen Hamilton, McLean, VA, USA
| | - Anoop K Sendamarai
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
- Carbone Cancer Center, University of Wisconsin, Madison, WI, USA
| | - Yunling Shi
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
| | - Poornima Devineni
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
| | - Uma Saxena
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
| | - Elizabeth Partan
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
| | - Andrea K DeVito
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA
- Booz Allen Hamilton, McLean, VA, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Don D Sin
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada
| | - Wim Timens
- University Medical Centre Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), University of Groningen, Groningen, Netherlands
- Department of Pathology & Medical Biology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Jennifer Moser
- Office of Research and Development, Department of Veterans Affairs, Washington, DC, USA
| | - Sumitra Muralidhar
- Office of Research and Development, Department of Veterans Affairs, Washington, DC, USA
| | - Rachel Ramoni
- Office of Research and Development, Department of Veterans Affairs, Washington, DC, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, ON, Canada
| | - James D McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Department of Molecular Medicine, Laval University, Quebec City, QC, Canada
| | - Ryan Sun
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Saiju Pyarajan
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Jani BD, Sullivan MK, Hanlon P, Nicholl BI, Lees JS, Brown L, MacDonald S, Mark PB, Mair FS, Sullivan FM. Personalised lung cancer risk stratification and lung cancer screening: do general practice electronic medical records have a role? Br J Cancer 2023; 129:1968-1977. [PMID: 37880510 PMCID: PMC10703821 DOI: 10.1038/s41416-023-02467-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND In the United Kingdom (UK), cancer screening invitations are based on general practice (GP) registrations. We hypothesize that GP electronic medical records (EMR) can be utilised to calculate a lung cancer risk score with good accuracy/clinical utility. METHODS The development cohort was Secure Anonymised Information Linkage-SAIL (2.3 million GP EMR) and the validation cohort was UK Biobank-UKB (N = 211,597 with GP-EMR availability). Fast backward method was applied for variable selection and area under the curve (AUC) evaluated discrimination. RESULTS Age 55-75 were included (SAIL: N = 574,196; UKB: N = 137,918). Six-year lung cancer incidence was 1.1% (6430) in SAIL and 0.48% (656) in UKB. The final model included 17/56 variables in SAIL for the EMR-derived score: age, sex, socioeconomic status, smoking status, family history, body mass index (BMI), BMI:smoking interaction, alcohol misuse, chronic obstructive pulmonary disease, coronary heart disease, dementia, hypertension, painful condition, stroke, peripheral vascular disease and history of previous cancer and previous pneumonia. The GP-EMR-derived score had AUC of 80.4% in SAIL and 74.4% in UKB and outperformed ever-smoked criteria (currently the first step in UK lung cancer screening pilots). DISCUSSION A GP-EMR-derived score may have a role in UK lung cancer screening by accurately targeting high-risk individuals without requiring patient contact.
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Affiliation(s)
- Bhautesh Dinesh Jani
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Michael K Sullivan
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Peter Hanlon
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Barbara I Nicholl
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Jennifer S Lees
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Lamorna Brown
- Population and Behavioural Science Division, School of Medicine, University of St Andrews, St Andrews, UK
| | - Sara MacDonald
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Patrick B Mark
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Frances S Mair
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Frank M Sullivan
- Population and Behavioural Science Division, School of Medicine, University of St Andrews, St Andrews, UK
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Testino G, Scafato E, Patussi V, Balbinot P, Ghiselli A, Caputo F. Alcohol and cancer: a denied association the statement of the Italian society on alcohol (Società Italiana di Alcologia-SIA). Alcohol Alcohol 2023; 58:683-687. [PMID: 37779424 DOI: 10.1093/alcalc/agad064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 09/05/2023] [Accepted: 09/09/2023] [Indexed: 10/03/2023] Open
Abstract
Alcohol consumption (AC) is carcinogenic to humans. The Italian Society on Alcohol (Società Italiana di Alcologia) defines excessive AC as anything greater than zero. It is not appropriate to associate AC with cardiovascular disease prevention. This is for prudence and to protect public health. It also asks to include information on alcohol labels that AC is associated with cancer.
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Affiliation(s)
- Gianni Testino
- Unit of Addiction and Hepatology, ASL3 c/o Polyclinic San Martino Hospital, Genova, Italy
- Alcohological Regional Centre, ASL3, Genova, Italy
- Centro Studi "Auto-Mutuo-Aiuto, Programmi di Comunità, Formazione Caregiver", ASL3, Genova, Italy
- Società Italiana di Alcologia (SIA), Bologna, Italy
| | - Emanuele Scafato
- Società Italiana di Alcologia (SIA), Bologna, Italy
- Istituto Superiore di Sanità, Roma, Italy
| | - Valentino Patussi
- Società Italiana di Alcologia (SIA), Bologna, Italy
- SOD di Alcologia e Centro Alcologico Toscano, Ospedale Policlinico di Careggi, Firenze, Italy
| | - Patrizia Balbinot
- Unit of Addiction and Hepatology, ASL3 c/o Polyclinic San Martino Hospital, Genova, Italy
- Alcohological Regional Centre, ASL3, Genova, Italy
- Centro Studi "Auto-Mutuo-Aiuto, Programmi di Comunità, Formazione Caregiver", ASL3, Genova, Italy
- Società Italiana di Alcologia (SIA), Bologna, Italy
| | - Andrea Ghiselli
- President of the Italian Commission for the Review of Nutritional Guidelines 2018
| | - Fabio Caputo
- Società Italiana di Alcologia (SIA), Bologna, Italy
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
- Department of Translational Medicine, Center for the Study and Treatment of Chronic Inflammatory Intestinal Diseases (IBD) and Gastroenterological Manifestations of Rare Diseases, University of Ferrara, Ferrara, Italy
- Department of Translational Medicine, Center for the Study and Treatment of Alcohol-Related Diseases, University of Ferrara, Ferrara, Italy
- Department of Internal Medicine, Santissima Annunziata Hospital, University of Ferrara, Ferrara, Italy
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Tirado-Kulieva VA, Hernández-Martínez E, Minchán-Velayarce HH, Pasapera-Campos SE, Luque-Vilca OM. A comprehensive review of the benefits of drinking craft beer: Role of phenolic content in health and possible potential of the alcoholic fraction. Curr Res Food Sci 2023; 6:100477. [PMID: 36935850 PMCID: PMC10020662 DOI: 10.1016/j.crfs.2023.100477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/13/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023] Open
Abstract
Currently, there is greater production and consumption of craft beer due to its appreciated sensory characteristics. Unlike conventional beer, craft beers provide better health benefits due to their varied and high content of phenolic compounds (PCs) and also due to their alcohol content, but the latter is controversial. The purpose of this paper was to report on the alcoholic fraction and PCs present in craft beers and their influence on health. Despite the craft beer boom, there are few studies on the topic; there is a lot of field to explore. The countries with the most research are the United States > Italy > Brazil > United Kingdom > Spain. The type and amount of PCs in craft beers depends on the ingredients and strains used, as well as the brewing process. It was determined that it is healthier to be a moderate consumer of alcohol than to be a teetotaler or heavy drinker. Thus, studies in vitro, with animal models and clinical trials on cardiovascular and neurodegenerative diseases, cancer, diabetes and obesity, osteoporosis and even the immune system suggest the consumption of craft beer. However, more studies with more robust designs are required to obtain more generalizable and conclusive results. Finally, some challenges in the production of craft beer were detailed and some alternative solutions were mentioned.
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5
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Faghani A, Guo L, Wright ME, Hughes MC, Vaezi M. Construction and case study of a novel lung cancer risk index. BMC Cancer 2022; 22:1275. [PMID: 36474178 PMCID: PMC9724373 DOI: 10.1186/s12885-022-10370-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022] Open
Abstract
PURPOSE This study constructs a lung cancer risk index (LCRI) that incorporates many modifiable risk factors using an easily reproducible and adaptable method that relies on publicly available data. METHODS We used meta-analysis followed by Analytic Hierarchy Process (AHP) to generate a lung cancer risk index (LCRI) that incorporates seven modifiable risk factors (active smoking, indoor air pollution, occupational exposure, alcohol consumption, secondhand smoke exposure, outdoor air pollution, and radon exposure) for lung cancer. Using county-level population data, we then performed a case study in which we tailored the LCRI for use in the state of Illinois (LCRIIL). RESULTS For both the LCRI and the LCRIIL, active smoking had the highest weights (46.1% and 70%, respectively), whereas radon had the lowest weights (3.0% and 5.7%, respectively). The weights for alcohol consumption were 7.8% and 14.7% for the LCRI and the LCRIIL, respectively, and were 3.8% and 0.95% for outdoor air pollution. Three variables were only included in the LCRI: indoor air pollution (18.5%), occupational exposure (13.2%), and secondhand smoke exposure (7.6%). The Consistency Ratio (CR) was well below the 0.1 cut point. The LCRIIL was moderate though significantly correlated with age-adjusted lung cancer incidence (r = 0.449, P < 0.05) and mortality rates (r = 0.495, P < 0.05). CONCLUSION This study presents an index that incorporates multiple modifiable risk factors for lung cancer into one composite score. Since the LCRI allows data comprising the composite score to vary based on the location of interest, this measurement tool can be used for any geographic location where population-based data for individual risk factors exist. Researchers, policymakers, and public health professionals may utilize this framework to determine areas that are most in need of lung cancer-related interventions and resources.
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Affiliation(s)
- Ali Faghani
- grid.261128.e0000 0000 9003 8934College of Engineering and Engineering Technology, Northern Illinois University, DeKalb, IL USA
| | - Lei Guo
- grid.261128.e0000 0000 9003 8934School of Interdisciplinary Health Professions, Northern Illinois University, DeKalb, IL USA
| | - Margaret E. Wright
- grid.185648.60000 0001 2175 0319University of Illinois Cancer Center, Chicago, IL USA
| | - M. Courtney Hughes
- grid.261128.e0000 0000 9003 8934School of Health Studies, Northern Illinois University, DeKalb, IL USA
| | - Mahdi Vaezi
- grid.261128.e0000 0000 9003 8934College of Engineering and Engineering Technology, Northern Illinois University, DeKalb, IL USA
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Zou K, Sun P, Huang H, Zhuo H, Qie R, Xie Y, Luo J, Li N, Li J, He J, Aschebrook-Kilfoy B, Zhang Y. Etiology of lung cancer: Evidence from epidemiologic studies. JOURNAL OF THE NATIONAL CANCER CENTER 2022; 2:216-225. [PMID: 39036545 PMCID: PMC11256564 DOI: 10.1016/j.jncc.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 12/05/2022] Open
Abstract
Lung cancer is one of the leading causes of cancer incidence and mortality worldwide. While smoking, radon, air pollution, as well as occupational exposure to asbestos, diesel fumes, arsenic, beryllium, cadmium, chromium, nickel, and silica are well-established risk factors, many lung cancer cases cannot be explained by these known risk factors. Over the last two decades the incidence of adenocarcinoma has risen, and it now surpasses squamous cell carcinoma as the most common histologic subtype. This increase warrants new efforts to identify additional risk factors for specific lung cancer subtypes as well as a comprehensive review of current evidence from epidemiologic studies to inform future studies. Given the myriad exposures individuals experience in real-world settings, it is essential to investigate mixture effects from complex exposures and gene-environment interactions in relation to lung cancer and its subtypes.
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Affiliation(s)
- Kaiyong Zou
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peiyuan Sun
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huang Huang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haoran Zhuo
- Yale School of Public Health, New Haven, United States of America
| | - Ranran Qie
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuting Xie
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiajun Luo
- Department of Public Health Sciences, the University of Chicago, Chicago, United States of America
| | - Ni Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiang Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Yawei Zhang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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7
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Heath AK, Muller DC, van den Brandt PA, Critselis E, Gunter M, Vineis P, Weiderpass E, Boeing H, Ferrari P, Merritt MA, Rostgaard‐Hansen AL, Tjønneland A, Overvad K, Katzke V, Srour B, Masala G, Sacerdote C, Ricceri F, Pasanisi F, Bueno‐de‐Mesquita B, Downward GS, Skeie G, Sandanger TM, Crous‐Bou M, Rodríguez‐Barranco M, Amiano P, Huerta JM, Ardanaz E, Drake I, Johansson M, Johansson I, Key T, Papadimitriou N, Riboli E, Tzoulaki I, Tsilidis KK. Diet-wide association study of 92 foods and nutrients and lung cancer risk in the European Prospective Investigation into Cancer and Nutrition study and the Netherlands Cohort Study. Int J Cancer 2022; 151:1935-1946. [PMID: 35830197 PMCID: PMC9804326 DOI: 10.1002/ijc.34211] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 01/05/2023]
Abstract
It is unclear whether diet, and in particular certain foods or nutrients, are associated with lung cancer risk. We assessed associations of 92 dietary factors with lung cancer risk in 327 790 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cox regression yielded adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) per SD higher intake/day of each food/nutrient. Correction for multiple comparisons was performed using the false discovery rate and identified associations were evaluated in the Netherlands Cohort Study (NLCS). In EPIC, 2420 incident lung cancer cases were identified during a median of 15 years of follow-up. Higher intakes of fibre (HR per 1 SD higher intake/day = 0.91, 95% CI 0.87-0.96), fruit (HR = 0.91, 95% CI 0.86-0.96) and vitamin C (HR = 0.91, 95% CI 0.86-0.96) were associated with a lower risk of lung cancer, whereas offal (HR = 1.08, 95% CI 1.03-1.14), retinol (HR = 1.06, 95% CI 1.03-1.10) and beer/cider (HR = 1.04, 95% CI 1.02-1.07) intakes were positively associated with lung cancer risk. Associations did not differ by sex and there was less evidence for associations among never smokers. None of the six associations with overall lung cancer risk identified in EPIC were replicated in the NLCS (2861 cases), however in analyses of histological subtypes, inverse associations of fruit and vitamin C with squamous cell carcinoma were replicated in the NLCS. Overall, there is little evidence that intakes of specific foods and nutrients play a major role in primary lung cancer risk, but fruit and vitamin C intakes seem to be inversely associated with squamous cell lung cancer.
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Affiliation(s)
- Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
| | - David C. Muller
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
| | | | - Elena Critselis
- Biomedical Research Foundation of the Academy of AthensAthensGreece
- Department of Nutrition and DieteticsHarokopio UniversityAthensGreece
- Department of Primary Care and Population HealthUniversity of Nicosia Medical SchoolNicosiaCyprus
| | - Marc Gunter
- International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
| | | | - Heiner Boeing
- Department of EpidemiologyGerman Institute of Human Nutrition Potsdam‐RehbrückeBergholz‐RehbrückeGermany
| | - Pietro Ferrari
- International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Melissa A. Merritt
- Cancer Epidemiology ProgramUniversity of Hawaii Cancer CenterHonoluluHawaiiUSA
| | | | | | - Kim Overvad
- Department of Public HealthAarhus UniversityAarhusDenmark
| | - Verena Katzke
- Division of Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Bernard Srour
- Division of Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Giovanna Masala
- Institute of Cancer ResearchPrevention and Clinical Network (ISPRO)FlorenceItaly
| | - Carlotta Sacerdote
- Unit of Cancer EpidemiologyCittà della Salute e della Scienza University‐HospitalTurinItaly
| | - Fulvio Ricceri
- Department of Clinical and Biological SciencesUniversity of TurinTurinItaly
- Unit of EpidemiologyRegional Health Service ASL TO3GrugliascoItaly
| | - Fabrizio Pasanisi
- Dipartimento di Medicina Clinica e ChirurgiaFederico II UniversityNaplesItaly
| | - Bas Bueno‐de‐Mesquita
- Centre for Nutrition, Prevention and Health ServicesNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - George S. Downward
- Institute for Risk Assessment Sciences, Division of Environmental EpidemiologyUtrecht UniversityUtrechtThe Netherlands
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health SciencesUiT‐The Arctic University of NorwayTromsøNorway
| | - Torkjel M. Sandanger
- Department of Community Medicine, Faculty of Health SciencesUiT‐The Arctic University of NorwayTromsøNorway
| | - Marta Crous‐Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research ProgramCatalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de LlobregatBarcelonaSpain
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Miguel Rodríguez‐Barranco
- Escuela Andaluza de Salud Pública (EASP)GranadaSpain
- Instituto de Investigación Biosanitaria ibs.GranadaGranadaSpain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
| | - Pilar Amiano
- Ministry of Health of the Basque GovernmentSub‐Directorate for Public Health and Addictions of GipuzkoaSan SebastiánSpain
- Biodonostia Health Research InstituteEpidemiology and Public Health AreaSan SebastiánSpain
- CIBER Epidemiology and Public Health (CIBERESP)Instituto de Salud Carlos III (ISCIII)MadridSpain
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Department of EpidemiologyMurcia Regional Health Council, IMIB‐ArrixacaMurciaSpain
| | - Eva Ardanaz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)MadridSpain
- Navarra Public Health InstitutePamplonaSpain
- IdiSNANavarra Institute for Health ResearchPamplonaSpain
| | - Isabel Drake
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
| | - Mikael Johansson
- Department of Radiation Sciences, OncologyUmeå UniversityUmeåSweden
| | - Ingegerd Johansson
- Department of Odontology, Section of CardiologyUmeå UniversityUmeåSweden
| | - Tim Key
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Nikos Papadimitriou
- Nutrition and Metabolism BranchInternational Agency for Research on CancerLyonFrance
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
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8
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Wang X, Jia M, Mao Y, Jia Z, Liu H, Yang G, Wang S, Sun B, Zhang H. Very-light alcohol consumption suppresses breast tumor progression in a mouse model. Food Funct 2022; 13:3391-3404. [PMID: 35230367 DOI: 10.1039/d1fo02089g] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The relationship between alcohol consumption and cancer has no consistent results both in epidemiological studies and animal models. The inaccuracy of alcohol consumption dosage in the experimental design maybe leads to inconsistent results and makes the researchers ignore the effect of very-light alcohol consumption on cancer. To determine the effects of very-light alcohol consumption on cancer, in this study, the manner of gavage was used to control the alcohol consumption accurately. The impacts of age and time of drinking on cancer progression were also evaluated in this study. Here, we find that a certain range of alcohol consumption (from 0.5% w/v to 2.0% w/v) can suppress tumor development in the breast metastasis mouse model by controlling the alcohol consumption dosage accurately. RNA sequencing analyses were performed in primary tumors and related metastases from the NC group and 1.0% w/v group. The results of primary tumors and related metastases indicated that chronic very-light alcohol consumption downregulates breast tumor-associated oncogenes in primary tumors and regulates the immune system and metabolic system in metastatic carcinoma. To provide the public with drinking recommendations, eight commercial alcohol types were investigated at a dosage of 1.0% w/v. Two types of commercial alcohol, red wine (made in France, brand 1) and baijiu (made in China, brand 1), exerted excellent primary tumor and metastasis inhibitory effects. The untargeted metabolomic analysis of commercial alcohol by liquid chromatography-tandem mass spectrometry indicated that baijiu (brand 1) and baijiu (brand 2) exhibited a difference in compositions that can lead to their different anti-cancer effects. These results indicated that a certain range of very light alcohol dosages might have a potential human-cancer inhibition effect.
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Affiliation(s)
- Xiuxiu Wang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China.
| | - Min Jia
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China.
| | - Yifei Mao
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China.
| | - Zhenzhen Jia
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China.
| | - Huilin Liu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University (BTBU), Beijing 100048, China.
| | - Guiwen Yang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China.
| | - Shuo Wang
- School of Medicine, Nankai University, Tianjin 300457, China.
| | - Baoguo Sun
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University (BTBU), Beijing 100048, China.
| | - Hongyan Zhang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China.
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9
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Yeo Y, Shin DW, Han K, Park SH, Jeon KH, Lee J, Kim J, Shin A. Individual 5-Year Lung Cancer Risk Prediction Model in Korea Using a Nationwide Representative Database. Cancers (Basel) 2021; 13:cancers13143496. [PMID: 34298709 PMCID: PMC8307783 DOI: 10.3390/cancers13143496] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/29/2021] [Accepted: 07/06/2021] [Indexed: 12/19/2022] Open
Abstract
Early detection of lung cancer by screening has contributed to reduce lung cancer mortality. Identifying high risk subjects for lung cancer is necessary to maximize the benefits and minimize the harms followed by lung cancer screening. In the present study, individual lung cancer risk in Korea was presented using a risk prediction model. Participants who completed health examinations in 2009 based on the Korean National Health Insurance (KNHI) database (DB) were eligible for the present study. Risk scores were assigned based on the adjusted hazard ratio (HR), and the standardized points for each risk factor were calculated to be proportional to the b coefficients. Model discrimination was assessed using the concordance statistic (c-statistic), and calibration ability assessed by plotting the mean predicted probability against the mean observed probability of lung cancer. Among candidate predictors, age, sex, smoking intensity, body mass index (BMI), presence of chronic obstructive pulmonary disease (COPD), pulmonary tuberculosis (TB), and type 2 diabetes mellitus (DM) were finally included. Our risk prediction model showed good discrimination (c-statistic, 0.810; 95% CI: 0.801-0.819). The relationship between model-predicted and actual lung cancer development correlated well in the calibration plot. When using easily accessible and modifiable risk factors, this model can help individuals make decisions regarding lung cancer screening or lifestyle modification, including smoking cessation.
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Affiliation(s)
- Yohwan Yeo
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea;
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea;
| | - Dong Wook Shin
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea;
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea
- Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea
- Correspondence: (D.W.S.); (K.H.); Tel.: +82-2-3410-5252 (D.W.S.); +82-2-2258-7226 (K.H.); Fax: +82-2-3410-0388 (D.W.S.); +82-2-532-6537 (K.H.)
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul 06978, Korea
- Correspondence: (D.W.S.); (K.H.); Tel.: +82-2-3410-5252 (D.W.S.); +82-2-2258-7226 (K.H.); Fax: +82-2-3410-0388 (D.W.S.); +82-2-532-6537 (K.H.)
| | - Sang Hyun Park
- Department of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul 06591, Korea;
| | - Keun-Hye Jeon
- Department of Family Medicine, CHA Gumi Medical Center, Gumi 39295, Korea;
| | - Jungkwon Lee
- Bucheon Geriatric Medical Center, Bucheon 14478, Korea;
- Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Junghyun Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul 04564, Korea;
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea;
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10
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Im PK, Millwood IY, Kartsonaki C, Chen Y, Guo Y, Du H, Bian Z, Lan J, Feng S, Yu C, Lv J, Walters RG, Li L, Yang L, Chen Z. Alcohol drinking and risks of total and site-specific cancers in China: A 10-year prospective study of 0.5 million adults. Int J Cancer 2021; 149:522-534. [PMID: 33634874 PMCID: PMC8359462 DOI: 10.1002/ijc.33538] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 12/15/2022]
Abstract
Alcohol drinking is associated with increased risks of several site‐specific cancers, but its role in many other cancers remains inconclusive. Evidence is more limited from China, where cancer rates, drinking patterns and alcohol tolerability differ importantly from Western populations. The prospective China Kadoorie Biobank recruited >512 000 adults aged 30 to 79 years from 10 diverse areas during 2004 to 2008, recording alcohol consumption patterns by a standardised questionnaire. Self‐reported alcohol consumption was estimated as grams of pure alcohol per week based on beverage type, amount consumed per occasion and drinking frequency. After 10 years of follow‐up, 26 961 individuals developed cancer. Cox regression was used to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) relating alcohol consumption to incidence of site‐specific cancers. Overall, 33% (n = 69 734) of men drank alcohol regularly (ie, ≥weekly) at baseline. Among male current regular drinkers, alcohol intake showed positive dose‐response associations with risks of cancers in the oesophagus (655 events; HR = 1.98 [95%CI 1.79‐2.18], per 280 g/wk), mouth and throat (236; 1.74 [1.48‐2.05]), liver (573; 1.52 [1.31‐1.76]), colon‐rectum (575; 1.19 [1.00‐1.43]), gallbladder (107; 1.60 [1.16‐2.22]) and lung (1017; 1.25 [1.10‐1.42]), similarly among never‐ and ever‐regular smokers. After adjustment for total alcohol intake, there were greater risks of oesophageal cancer in daily drinkers than nondaily drinkers and of liver cancer when drinking without meals. The risks of oesophageal cancer and lung cancer were greater in men reporting flushing after drinking than not. In this male population, alcohol drinking accounted for 7% of cancer cases. Among women, only 2% drank regularly, with no clear associations between alcohol consumption and cancer risk. Among Chinese men, alcohol drinking is associated with increased risks of cancer at multiple sites, with certain drinking patterns (eg, daily, drinking without meals) and low alcohol tolerance further exacerbating the risks.
What's new?
A comprehensive assessment of the role of alcohol in cancer aetiology is needed in China, where cancer rates, drinking patterns, and alcohol tolerability differ from those in the West. In this large prospective study, regular alcohol drinkers had increased risks of cancers in several sites previously considered to be alcohol‐related (i.e., oesophagus, mouth and throat, liver and colon‐rectum) as well as in the lung and gallbladder. Certain drinking patterns (e.g., drinking daily or without meals) and low alcohol tolerance further exacerbated the risks. The findings suggest that lowering population‐levels of alcohol consumption is an important strategy for cancer prevention.
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Affiliation(s)
- Pek Kei Im
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Christiana Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Jian Lan
- NCDs Prevention and Control Department, Liuzhou CDC, Liuzhou, China
| | - Shixian Feng
- NCDs Prevention and Control Department, Henan CDC, Zhengzhou, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
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11
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Graff RE, Cavazos TB, Thai KK, Kachuri L, Rashkin SR, Hoffman JD, Alexeeff SE, Blatchins M, Meyers TJ, Leong L, Tai CG, Emami NC, Corley DA, Kushi LH, Ziv E, Van Den Eeden SK, Jorgenson E, Hoffmann TJ, Habel LA, Witte JS, Sakoda LC. Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts. Nat Commun 2021; 12:970. [PMID: 33579919 PMCID: PMC7880989 DOI: 10.1038/s41467-021-21288-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 01/19/2021] [Indexed: 02/07/2023] Open
Abstract
Even distinct cancer types share biological hallmarks. Here, we investigate polygenic risk score (PRS)-specific pleiotropy across 16 cancers in European ancestry individuals from the Genetic Epidemiology Research on Adult Health and Aging cohort (16,012 cases, 50,552 controls) and UK Biobank (48,969 cases, 359,802 controls). Within cohorts, each PRS is evaluated in multivariable logistic regression models against all other cancer types. Results are then meta-analyzed across cohorts. Ten positive and one inverse cross-cancer associations are found after multiple testing correction. Two pairs show bidirectional associations; the melanoma PRS is positively associated with oral cavity/pharyngeal cancer and vice versa, whereas the lung cancer PRS is positively associated with oral cavity/pharyngeal cancer, and the oral cavity/pharyngeal cancer PRS is inversely associated with lung cancer. Overall, we validate known, and uncover previously unreported, patterns of pleiotropy that have the potential to inform investigations of risk prediction, shared etiology, and precision cancer prevention strategies.
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Affiliation(s)
- Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Taylor B Cavazos
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Khanh K Thai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Sara R Rashkin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Joshua D Hoffman
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Maruta Blatchins
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Travis J Meyers
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Lancelote Leong
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Caroline G Tai
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Nima C Emami
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. .,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. .,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA. .,Department of Urology, University of California San Francisco, San Francisco, CA, USA.
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA. .,Department of Health System Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
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12
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Chen C, Hu Q, Wang J, Wen T, Zhu C, Tan W, Chen X, Zhao Q, Wang W, Cao H, Li H. Habitual consumption of alcohol with meals and lung cancer: a Mendelian randomization study. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:263. [PMID: 33708890 PMCID: PMC7940946 DOI: 10.21037/atm-20-3063] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Background The objective of this study was to determine the causal relationship between habitual alcohol consumption with meals and lung cancer. Methods Public genetic summary data from two large consortia [the Neale Lab and the International Lung Cancer Consortium (ILCCO)] were used for analysis. As the instrumental variables of habitual alcohol consumption with meals, data on genetic variants were retrieved from Neale Lab. Additionally, genetic data from other consortia [Global Lipid Genetics Consortium (GLGC), Tobacco, Alcohol and Genetics (TAG), Genetic Investigation of Anthropocentric Traits (GIANT)] were utilized to determine whether alcohol could causally alter some general risk factors for lung cancer. The primary outcome was the risk of lung cancer (11,348 cases and 15,861 controls in the ILCCO). The R package TwoSampleMR was used for analysis. Results Based on the inverse variance weighted method, the results of the two-sample Mendelian randomization (MR) analyses indicated that commonly consuming alcohol with meals was a protective factor, reducing lung cancer risk [odds ratio (OR) 0.175, 95% confidence interval (CI): 0.045–0.682, P=0.012]. The heterogeneity analysis revealed that the causal relationship analyses of different types of lung cancer all had low heterogeneity (P>0.05). The horizontal pleiotropic study showed that major bias was unlikely. The MR assumptions did not seem to be violated. The causal relationship analyses between habitual alcohol consumption with meals and some risk factors for cancers showed that this alcohol consumption habit was a beneficial factor for reducing body mass index (BMI) and the number of cigarettes smoked per day. Conclusions Habitual appropriate alcohol consumption with meals is a protective factor for the development of lung cancer.
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Affiliation(s)
- Chongxiang Chen
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Guangzhou Institute of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, Guangzhou, China
| | - Qiaozhen Hu
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | | | - Tianmeng Wen
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chaoyang Zhu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Weiyan Tan
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xuelin Chen
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Qingyu Zhao
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wei Wang
- Zhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| | - Huijiao Cao
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Huan Li
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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13
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Naghibzadeh-Tahami A, Marzban M, Yazdi-Feyzabadi V, Dabiri S, Mohseni S, Abbasi Rayeni R, Samareh Fekri M, Larizadeh MH, Karimpour B, Khanjani N. Is opium use associated with an increased risk of lung cancer? A case-control study. BMC Cancer 2020; 20:807. [PMID: 32842991 PMCID: PMC7448970 DOI: 10.1186/s12885-020-07296-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 08/12/2020] [Indexed: 12/29/2022] Open
Abstract
Background In recent years, lung cancer (LC) incidence has increased in Iran. The use of opium and its derivatives (O&D) has increased as well. This study aimed to investigate the association between the use of O&D and LC incidence. Methods In this case-control study conducted in Kerman, Iran; 140 patients with lung cancer and 280 healthy controls matched by age, sex, and place of residence were included. Data, including O&D use, cigarette smoking, alcohol use, and diet, were collected using a structured questionnaire. The relation between the use of O&D and LC was evaluated using conditional logistic regression adjusted for tobacco smoking, education, daily intake of fruit, vegetables, red meat, and hydrogenated fats. Results Opium ever-use was associated with an increased risk of LC (Adjusted Odds Ratio (AOR) =5.95, 95% CI: 1.87–18.92). Participants were divided into low and high use groups based on the median of opium use in the control group. A significant dose-response relation was observed between the amount of daily O&D use and LC; and the relation was stronger in high users (AOR low users = 3.81% CI: 1.13–12.77 and OR high users = 9.36, 95% CI: 2.05–42.72). Also, LC was higher among participants starting the use of O&D at younger ages (≤ 41 years old vs never users AOR = 8.64, 95% CI: 1.90–39.18) compared to those who started at an older age (> 41 years old vs never users, AOR = 4.71, 95% CI: 1.38–16.08). The association between opium, and lung cancer among non-smokers was OR: 6.50 (95% CI: 2.89 to 14.64). Conclusion The results of this study show that opium use is probably a dose related risk factor for lung cancer.
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Affiliation(s)
| | - Maryam Marzban
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Vahid Yazdi-Feyzabadi
- Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Shahryar Dabiri
- Pathology and Stem Cell Research Center, Department of Pathology, Afzalipour School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Shokrollah Mohseni
- Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Reza Abbasi Rayeni
- Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
| | - Mitra Samareh Fekri
- Cardiovascular Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
| | - Mohammad Hasan Larizadeh
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Behnaz Karimpour
- Social Determinants of Health Research Center, Institute for Future Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Narges Khanjani
- Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran. .,Monash Centre for Occupational & Environmental Health, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. .,Department of Epidemiology and Biostatistics, Faculty of Public Health, Kerman Medical University (KMU), Haft Bagh Alavi Highway, Kerman, 76169-11317, Iran.
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