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Uotila I, Siiskonen H, Haimakainen S, Harvima I. Tobacco smoking is associated with cutaneous squamous cell carcinoma but not with basal cell carcinoma or melanoma in adult subjects at risk of skin cancer: A cross-sectional study. Tob Induc Dis 2024; 22:TID-22-76. [PMID: 38745594 PMCID: PMC11091865 DOI: 10.18332/tid/185299] [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: 08/26/2023] [Revised: 01/02/2024] [Accepted: 02/23/2024] [Indexed: 05/16/2024] Open
Abstract
INTRODUCTION The relationship between tobacco smoking and cutaneous photodamage or malignancies is still unclear. In addition to smoking, both ultraviolet radiation and immunosuppression have an impact on carcinogenesis. The purpose was to study the association of smoking with cutaneous photoaging, actinic keratosis (AK), skin cancers, and pigment cell nevi in adult subjects at risk of any type of skin cancer. METHODS In this cross-sectional study at Kuopio University Hospital, Finland, between May 2017 and October 2020, 488 subjects (aged 21-79 years, 246 males and 242 females, 94 with immunosuppression) were examined for a variety of skin lesions, photoaging severity, nevi, tobacco pack-years (TPY), as well as for possible confounding factors. RESULTS In logistic regression analyses, no marked association was found between TPY and total skin photoaging, facial photoaging, AK, or nevi, especially when other confounding factors, such as age, were considered. In addition, TPY was not associated with melanoma, basal cell carcinoma, or any type of skin cancer. However, ever smokers produced an elevated crude odds ratio (OR=1.99; 95% CI: 1.02-3.88, p=0.043) for squamous cell carcinoma (SCC) compared to non-smokers. In further analysis, TPY of ≤10 produced an elevated multivariable adjusted odds ratio (AOR=4.90; 95% CI: 1.31-18.26, p=0.018) for SCC, but TPY >10 did not (AOR=1.14; 95% CI: 0.22-6.05, p=0.876). CONCLUSIONS Smoking was associated, though not dose-dependently, with an increased likelihood of SCC, but it was not associated with basal cell carcinoma or melanoma. However, the impact of smoking on cutaneous photoaging severity, AK, and nevi, appears to be weak.
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Affiliation(s)
- Ilmari Uotila
- Department of Dermatology, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland
| | - Hanna Siiskonen
- Department of Dermatology, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland
| | - Salla Haimakainen
- Department of Dermatology, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland
| | - Ilkka Harvima
- Department of Dermatology, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland
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Schlueter DJ, Sulieman L, Mo H, Keaton JM, Ferrara TM, Williams A, Qian J, Stubblefield O, Zeng C, Tran TC, Bastarache L, Dai J, Babbar A, Ramirez A, Goleva SB, Denny JC. Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. J Am Med Inform Assoc 2023; 31:139-153. [PMID: 37885303 PMCID: PMC10746325 DOI: 10.1093/jamia/ocad205] [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: 01/06/2023] [Revised: 05/04/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023] Open
Abstract
OBJECTIVE The All of Us Research Program (All of Us) aims to recruit over a million participants to further precision medicine. Essential to the verification of biobanks is a replication of known associations to establish validity. Here, we evaluated how well All of Us data replicated known cigarette smoking associations. MATERIALS AND METHODS We defined smoking exposure as follows: (1) an EHR Smoking exposure that used International Classification of Disease codes; (2) participant provided information (PPI) Ever Smoking; and, (3) PPI Current Smoking, both from the lifestyle survey. We performed a phenome-wide association study (PheWAS) for each smoking exposure measurement type. For each, we compared the effect sizes derived from the PheWAS to published meta-analyses that studied cigarette smoking from PubMed. We defined two levels of replication of meta-analyses: (1) nominally replicated: which required agreement of direction of effect size, and (2) fully replicated: which required overlap of confidence intervals. RESULTS PheWASes with EHR Smoking, PPI Ever Smoking, and PPI Current Smoking revealed 736, 492, and 639 phenome-wide significant associations, respectively. We identified 165 meta-analyses representing 99 distinct phenotypes that could be matched to EHR phenotypes. At P < .05, 74 were nominally replicated and 55 were fully replicated. At P < 2.68 × 10-5 (Bonferroni threshold), 58 were nominally replicated and 40 were fully replicated. DISCUSSION Most phenotypes found in published meta-analyses associated with smoking were nominally replicated in All of Us. Both survey and EHR definitions for smoking produced similar results. CONCLUSION This study demonstrated the feasibility of studying common exposures using All of Us data.
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Affiliation(s)
- David J Schlueter
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- Department of Health and Society, University of Toronto, Scarborough, Toronto, ON, Canada
| | - Lina Sulieman
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Huan Mo
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- The Cohort Analytics Core (CAC), Center for Precision Health Research, National Human Genome Research Institute, Bethesda, MD, USA
| | - Jacob M Keaton
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Tracey M Ferrara
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Ariel Williams
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Jun Qian
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Onajia Stubblefield
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Chenjie Zeng
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Tam C Tran
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- The Cohort Analytics Core (CAC), Center for Precision Health Research, National Human Genome Research Institute, Bethesda, MD, USA
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jian Dai
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Anav Babbar
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Andrea Ramirez
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Slavina B Goleva
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Joshua C Denny
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
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Hezaveh E, Jafari S, Jalilpiran Y, Zargarzadeh N, Mahdavi R, Gargari BP. Dietary components and the risk of non-melanoma skin cancer: A systematic review of epidemiological studies. Crit Rev Food Sci Nutr 2021:1-16. [PMID: 34933633 DOI: 10.1080/10408398.2021.2016600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Non-melanoma skin cancer (NMSC) is the most common cancer among white-skinned people. The main environmental risk factor for all types of skin cancer is ultraviolet (UV) exposure to the sun. However, significant modifiable risk factors, such as diet, have been studied about NMSC risk. Several original studies have been conducted on the link between various dietary components and the risk of NMSC in the past decade, but have not been systematically reviewed. This review focuses on the potential impact of dietary components in the prevention of NMSC and evaluates the findings of epidemiologic evidence for dietary factors. We conducted a systematic search of three databases, including Scopus, ISI Web of Science, and PubMed, to identify relevant epidemiological studies published between 2000 and July 6, 2021. Finally, forty-three articles were included. Because of the inherent limitations of epidemiological studies, no definitive conclusions can be drawn; however, the links between folate, citrus, caffeine, and alcohol with BCC are notable; thus, high dietary folate intake, as well as citrus and alcohol consumption, are associated with an increased risk of basal cell carcinoma (BCC), whereas caffeine is associated with a lower risk. More research is required to reach a definitive conclusion.
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Affiliation(s)
- Erfan Hezaveh
- Department of Biochemistry and Dietetics, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sahar Jafari
- Department of Community Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Yahya Jalilpiran
- Department of Clinical Nutrition, School of Nutritional Science and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Nikan Zargarzadeh
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Mahdavi
- Nutrition Research Center, Department of Biochemistry and Dietetics, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Bahram Pourghassem Gargari
- Nutrition Research Center, Department of Biochemistry and Dietetics, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
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The Role of Diet, Alcohol, BMI, and Physical Activity in Cancer Mortality: Summary Findings of the EPIC Study. Nutrients 2021; 13:nu13124293. [PMID: 34959845 PMCID: PMC8709081 DOI: 10.3390/nu13124293] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 11/22/2021] [Accepted: 11/24/2021] [Indexed: 02/07/2023] Open
Abstract
Evidence on the impact of diet, alcohol, body-mass index (BMI), and physical activity on mortality due to cancer and other cancer-related outcomes is still scarce. Herein, we reviewed the contribution of the European Prospective Investigation into Cancer and Nutrition (EPIC) study to the current state of the art on the role of these factors in cancer mortality. We identified 45 studies using a rapid systematic review methodology. Dietary factors associated with reduced cancer mortality included raw vegetable intake; dietary fiber intake; the Mediterranean diet; other dietary scores; other diet patterns including low meat eaters, vegetarians/vegans, or fish eaters; dietary intake (or biomarkers) of some vitamins (e.g., vitamin D, vitamin K2, or Vitamin C); and intake of lignans. Physical activity and following healthy lifestyle recommendations also reduced cancer mortality risk. In contrast, dietary factors associated with higher cancer mortality risk included poor diet quality, consumption of alcohol and soft drinks including juice, and, to a lesser extent, intake of some fatty acids. Excess weight and obesity also increased the risk of cancer mortality. The EPIC study holds valuable information on diet and lifestyle factors and offers a unique opportunity to identify key diet-related factors for cancer mortality prevention.
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Sawada Y, Nakamura M. Daily Lifestyle and Cutaneous Malignancies. Int J Mol Sci 2021; 22:5227. [PMID: 34069297 PMCID: PMC8156459 DOI: 10.3390/ijms22105227] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 05/09/2021] [Accepted: 05/13/2021] [Indexed: 12/11/2022] Open
Abstract
Daily lifestyle is a fundamental part of human life and its influence accumulates daily in the human body. We observe that a good daily lifestyle has a beneficial impact on our health; however, the actual effects of individual daily lifestyle factors on human skin diseases, especially skin cancers, have not been summarized. In this review, we focused on the influence of daily lifestyle on the development of skin cancer and described the detailed molecular mechanisms of the development or regulation of cutaneous malignancies. Several daily lifestyle factors, such as circadian rhythm disruption, smoking, alcohol, fatty acids, dietary fiber, obesity, and ultraviolet light, are known to be associated with the risk of cutaneous malignancies, malignant melanoma, squamous cell carcinoma, basal cell carcinoma, and Merkel cell carcinoma. Although the influence of some daily lifestyles on the risk of skin cancers is controversial, this review provides us a better understanding of the relationship between daily lifestyle factors and skin cancers.
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Affiliation(s)
- Yu Sawada
- Department of Dermatology, University of Occupational and Environmental Health 1-1, Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka 807-8555, Japan;
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