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      Associated Links Among Smoking, Chronic Obstructive Pulmonary Disease, and Small Cell Lung Cancer: A Pooled Analysis in the International Lung Cancer Consortium

      research-article
      a , b , 1 , a , ah , al , 1 , c , d , a , a , ah , al , c , e , f , g , h , h , i , j , k , k , k , l , m , n , n , n , n , o , p , p , p , q , r , q , s , q , t , u , v , v , w , w , w , x , x , y , y , z , aa , ab , ab , ac , ab , ad , ad , ad , ae , af , ag , af , ag , ah , ah , ai , aj , ai , a , ak , al , *
      EBioMedicine
      Elsevier
      COPD, chronic obstructive pulmonary disease, CPG, cigarettes per day, ILCCO, International Lung Cancer Consortium, MeSH, medical subject headings, NSCLC, non-small cell lung cancer, OR, odds ratio, SCLC, small cell lung cancer, Smoking behaviors, Chronic obstructive pulmonary disease, Small cell lung cancer risk, Multicenter pooling, Causal mediation analysis

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Translated abstract

          Background

          The high relapse and mortality rate of small-cell lung cancer (SCLC) fuels the need for epidemiologic study to aid in its prevention.

          Methods

          We included 24 studies from the ILCCO collaboration. Random-effects panel logistic regression and cubic spline regression were used to estimate the effects of smoking behaviors on SCLC risk and explore their non-linearity. Further, we explored whether the risk of smoking on SCLC was mediated through COPD.

          Findings

          Significant dose–response relationships of SCLC risk were observed for all quantitative smoking variables. Smoking pack-years were associated with a sharper increase of SCLC risk for pack-years ranged 0 to approximately 50. The former smokers with longer cessation showed a 43% quit_for_5–9 years to 89% quit_for_≥ 20 years declined SCLC risk vs. subjects who had quit smoking < 5 years. Compared with non-COPD subjects, smoking behaviors showed a significantly higher effect on SCLC risk among COPD subjects, and further, COPD patients showed a 1.86-fold higher risk of SCLC. Furthermore, smoking behaviors on SCLC risk were significantly mediated through COPD which accounted for 0.70% to 7.55% of total effects.

          Interpretation

          This is the largest pooling study that provides improved understanding of smoking on SCLC, and further demonstrates a causal pathway through COPD that warrants further experimental study.

          Highlights

          • Cumulative smoking of the first 50 pack-years is associated with a sharper increase in SCLC risk.

          • Smoking behaviors have a higher risk on SCLC among COPD subjects, and COPD patients have a 1.86-fold higher risk of SCLC.

          • Risks of smoking behaviors on SCLC are partially mediated through COPD.

          A strong association between smoking and SCLC is noted whereas the dose–response relationships are less clear. We demonstrate that cumulative smoking of the first 50 pack-years is associated with a sharper increase in SCLC risk. Moreover, although the relationship between smoking and COPD or COPD and SCLC is well-established, no study has investigated the causal pathway among smoking, COPD, and SCLC. Here we reveal the risks of smoking behaviors on SCLC which are partially mediated (up to 7.6%) through COPD. The findings warrant further experimental study to elucidate the mechanisms in this causal pathway.

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          Most cited references63

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          Coexistence of quiescent and active adult stem cells in mammals.

          Adult stem cells are crucial for physiological tissue renewal and regeneration after injury. Prevailing models assume the existence of a single quiescent population of stem cells residing in a specialized niche of a given tissue. Emerging evidence indicates that both quiescent (out of cell cycle and in a lower metabolic state) and active (in cell cycle and not able to retain DNA labels) stem cell subpopulations may coexist in several tissues, in separate yet adjoining locations. Here, we summarize these findings and propose that quiescent and active stem cell populations have separate but cooperative functional roles.
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            • Record: found
            • Abstract: not found
            • Article: not found

            Small-cell lung cancer (SCLC): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

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              • Record: found
              • Abstract: found
              • Article: not found

              Generalizability of epidemiological findings and public health decisions: an illustration from the Rochester Epidemiology Project.

              To illustrate the problem of generalizability of epidemiological findings derived from a single population using data from the Rochester Epidemiology Project and from the US Census. We compared the characteristics of the Olmsted County, Minnesota, population with the characteristics of populations residing in the state of Minnesota, the Upper Midwest, and the entire United States. Age, sex, and ethnic characteristics of Olmsted County were similar to those of the state of Minnesota and the Upper Midwest from 1970 to 2000. However, Olmsted County was less ethnically diverse than the entire US population (90.3% vs 75.1% white), more highly educated (91.1% vs 80.4% high school graduates), and wealthier ($51,316 vs $41,994 median household income; 2000 US Census data). Age- and sex-specific mortality rates were similar for Olmsted County, the state of Minnesota, and the entire United States. We provide an example of analyses and comparisons that may guide the generalization of epidemiological findings from a single population to other populations or to the entire United States. Copyright © 2012 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                EBioMedicine
                EBioMedicine
                EBioMedicine
                Elsevier
                2352-3964
                24 September 2015
                November 2015
                24 September 2015
                : 2
                : 11
                : 1677-1685
                Affiliations
                [a ]Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
                [b ]Department of Medical Education, E-Da Hospital, and I-Shou University, Taiwan
                [c ]Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Canada
                [d ]Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
                [e ]Department of Epidemiology, UCLA Jonsson Comprehensive Cancer Center, Fielding School of Public Health, University of California at Los Angeles (UCLA), Los Angeles, CA, USA
                [f ]Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
                [g ]Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
                [h ]Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
                [i ]Department of Preventive Medicine, Seoul National University College of Medicine, Republic of Korea
                [j ]Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
                [k ]Barbara Ann Karmanos Cancer Institute, and Department of Oncology, Wayne State University, Detroit, MI, USA
                [l ]Centre for Research in Epidemiology and Population Health, French Institute of Health and Medical Research, Villejuif, France
                [m ]Public Health Ontario, Toronto, Ontario, Canada
                [n ]Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
                [o ]Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
                [p ]Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
                [q ]Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
                [r ]School of Environmental Science and Public Health, Wenzhou Medical University, China
                [s ]Department of Oncology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China
                [t ]Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
                [u ]Norris Cotton Cancer Center, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
                [v ]Penn State College of Medicine, Hershey, PA, USA
                [w ]Sheffield School of Health and Related Research, Experimental Cancer Medicine Centre, University of Sheffield, Sheffield, UK
                [x ]Clalit National Israeli Cancer Control Center, Carmel Medical Center and Technion, Israel
                [y ]Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
                [z ]German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
                [aa ]Saarland Cancer Registry, Saarbrücken, Germany
                [ab ]Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
                [ac ]Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
                [ad ]Service of Preventive Medicine, University Hospital Complex of Santiago de Compostela, Santiago de Compostela, Spain
                [ae ]Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
                [af ]Epidemiology Unit, Fondazione IRCCS Ca' Granda — Ospedale Maggiore Policlinico, Milan, Italy
                [ag ]Department of Clinical Sciences and Community Health, Universita' degli Studi di Milano, Milan, Italy
                [ah ]Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
                [ai ]Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Department of Preventive Medicine and Public Health, University of Oviedo, Spain
                [aj ]Department of Conservation Biology, Estación Biológica de Doñana (CSIC), Sevilla, Spain
                [ak ]Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
                [al ]Joint Laboratory of Health and Environmental Risk Assessment (HERA), School of Public Health, Nanjing Medical University, Nanjing, China
                Author notes
                [* ]Corresponding author at: 665 Huntington Avenue, Building I Room 1401, Boston, MA 02115, USA.665 Huntington Avenue, Building I Room 1401BostonMA02115USA dchris@ 123456hsph.harvard.edu
                [1]

                The authors contributed equality to this study.

                Article
                S2352-3964(15)30147-X
                10.1016/j.ebiom.2015.09.031
                4740296
                26870794
                9d32adbd-4186-4e71-bf90-37c22362bec0
                © 2015 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 2 July 2015
                : 16 September 2015
                : 16 September 2015
                Categories
                Research Article

                copd, chronic obstructive pulmonary disease,cpg, cigarettes per day,ilcco, international lung cancer consortium,mesh, medical subject headings,nsclc, non-small cell lung cancer,or, odds ratio,sclc, small cell lung cancer,smoking behaviors,chronic obstructive pulmonary disease,small cell lung cancer risk,multicenter pooling,causal mediation analysis

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