1
|
Jiang X, Yang G, Feng N, Du X, Xu L, Zhong VW. Lifestyle modifies the associations of early-life smoking behaviors and genetic susceptibility with type 2 diabetes: A prospective cohort study involving 433,872 individuals from UK Biobank. Diabetes Metab Syndr 2024; 18:103090. [PMID: 39084054 DOI: 10.1016/j.dsx.2024.103090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 07/24/2024] [Accepted: 07/25/2024] [Indexed: 08/02/2024]
Abstract
BACKGROUND To investigate whether and what lifestyle factors in later life modify the associations of early-life smoking behaviors and genetic susceptibility with type 2 diabetes (T2D). METHODS In the UK Biobank, in utero tobacco exposure (n = 354,493) and age of smoking initiation (n = 353,557) were self-reported. A composite lifestyle score was calculated based on diet, physical activity, nicotine exposure, sleep duration, and BMI. Hazard ratio (HR) and absolute risk difference (ARD) were used to estimate the associations of early-life smoking behaviors and genetic risk with incident T2D, as well as the effect modification of the lifestyle score. RESULTS During a median follow-up of 14.6 years, the HRs (95 % CIs) of T2D for in utero tobacco exposure, and smoking initiation in adulthood, adolescence, and childhood, compared with no smoking behavior, were 1.19 (1.16-1.23), 1.34 (1.29-1.39), 1.58 (1.53-1.64), 2.22 (2.11-2.32), respectively (P for trend<0.001). Early-life smoking behaviors and high genetic risk (vs no smoking behavior and low genetic risk) were associated with a 302%-593 % higher T2D risk (P for additive interaction<0.05). Compared to participants with early-life smoking behaviors, high genetic risk, and an unfavorable lifestyle, those who adhered to a favorable lifestyle had a lower T2D risk in all subgroups (HRs from 0.05 to 0.36 and ARD from -14.97 % to -9.51 %), with the highest ARD attributable to lifestyle in participants with early-life smoking behaviors and high genetic risk. CONCLUSIONS The T2D risk associated with early-life smoking behaviors and genetic risk was modified by a favorable lifestyle.
Collapse
Affiliation(s)
- Xuanwei Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guangrui Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nannan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xihao Du
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Victor W Zhong
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
2
|
Hathaway CA, Townsend MK, Wang T, Vinci C, Jake-Schoffman DE, Hecht JL, Saeed-Vafa D, Moran Segura C, Nguyen JV, Conejo-Garcia JR, Fridley BL, Tworoger SS. Lifetime Exposure to Cigarette Smoke, B-Cell Tumor Immune Infiltration, and Immunoglobulin Abundance in Ovarian Tumors. Cancer Epidemiol Biomarkers Prev 2024; 33:796-803. [PMID: 38517322 PMCID: PMC11147730 DOI: 10.1158/1055-9965.epi-23-1142] [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: 09/18/2023] [Revised: 01/08/2024] [Accepted: 03/20/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Cigarette smoke exposure has been linked to systemic immune dysfunction, including for B-cell and immunoglobulin (Ig) production, and poor outcomes in patients with ovarian cancer. No study has evaluated the impact of smoke exposure across the life-course on B-cell infiltration and Ig abundance in ovarian tumors. METHODS We measured markers of B and plasma cells and Ig isotypes using multiplex immunofluorescence on 395 ovarian cancer tumors in the Nurses' Health Study (NHS)/NHSII. We conducted beta-binomial analyses evaluating odds ratios (OR) and 95% confidence intervals (CI) for positivity of immune markers by cigarette exposure among cases and Cox proportional hazards models to evaluate hazard ratios (HR) and 95% CI for developing tumors with low ( RESULTS There were no associations between smoke exposure and B-cell or IgM infiltration in ovarian tumors. Among cases, we observed higher odds of IgA+ among ever smokers (OR, 1.54; 95% CI, 1.14-2.07) and ever smokers with no parental smoke exposure (OR, 2.03; 95% CI, 1.18-3.49) versus never smokers. Women with parental cigarette smoke exposure versus not had higher risk of developing ovarian cancer with low IgG+ (HR, 1.51; 95% CI, 1.10-2.09), whereas ever versus never smokers had a lower risk (HR, 0.74; 95% CI, 0.56-0.99). CONCLUSIONS Ever smoking was associated with increased odds of IgA in ovarian tumors. IMPACT IgA has been associated with improved ovarian cancer outcomes, suggesting that although smoking is associated with poor outcomes in patients with ovarian cancer, it may lead to improved tumor immunogenicity.
Collapse
Affiliation(s)
| | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Tianyi Wang
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Christine Vinci
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | | | - Jonathan L Hecht
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Daryoush Saeed-Vafa
- Department of Anatomic Pathology, Moffitt Cancer Center, Tampa, Florida
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida
| | - Carlos Moran Segura
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida
| | - Jonathan V Nguyen
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida
| | - Jose R Conejo-Garcia
- Department of Immunology, Duke University School of Medicine, Durham, North Carolina
| | - Brooke L Fridley
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
- Knight Cancer Institute and Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
| |
Collapse
|
3
|
Lin F, Chen X, Shi Y, Yang K, Hu G, Zhuang W, Lin Y, Huang T, Ye Q, Cai G, Wu X. Early-life tobacco smoke exposure and stroke risk: a prospective study of 341,783 and 352,737 UK Biobank participants. BMC Public Health 2024; 24:1339. [PMID: 38760724 PMCID: PMC11102258 DOI: 10.1186/s12889-024-18588-6] [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: 01/06/2024] [Accepted: 04/14/2024] [Indexed: 05/19/2024] Open
Abstract
INTRODUCTION Stroke is a life-threatening condition that causes a major medical burden globally. The currently used methods for the prevention or prediction of stroke have certain limitations. Exposure to tobacco in early life, including smoking during adolescence and maternal smoking during pregnancy, can affect adolescent development and lead to several negative outcomes. However, the association between early-life tobacco exposure and stroke is not known. METHODS In this prospective cohort study, for the analyses involving exposure to maternal smoking during pregnancy and age of smoking initiation, we included 304,984 and 342,893 participants, respectively., respectively from the UK Biobank. Cox proportional hazard regression model and subgroup analyses were performed to investigate the association between early-life tobacco exposure and stroke. Mediation analyses were performed to identify the mediating role of biological aging in the association between early tobacco exposure and stroke. RESULTS Compared with participants whose mothers did not smoke during pregnancy, participants whose mothers smoked during pregnancy showed an 11% increased risk of stroke (HR: 1.11, 95% CI: 1.05-1.18, P < 0.001). Compared with participants who never smoked, participants who smoked during adulthood, adolescence and childhood showed a 22%, 24%, and 38% increased risk of stroke during their adulthood, respectively. Mediation analysis indicated that early-life tobacco exposure can cause stroke by increasing biological aging. CONCLUSION This study reveals that exposure to tobacco during early life is associated with an increased risk of experiencing a stroke, and increased biological aging can be the underlying mechanism.
Collapse
Affiliation(s)
- Fabin Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
- Department of Neurosurgery, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
| | - Xuanjie Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Yisen Shi
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Kaitai Yang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Guoping Hu
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Weijiang Zhuang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Yifei Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Tingting Huang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Qinyong Ye
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China.
- Fujian Medical University, Fuzhou, China.
| | - Guoen Cai
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China.
- Fujian Medical University, Fuzhou, China.
| | - Xilin Wu
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China.
- Fujian Medical University, Fuzhou, China.
| |
Collapse
|
4
|
Horackova K, Janatova M, Kleiblova P, Kleibl Z, Soukupova J. Early-Onset Ovarian Cancer <30 Years: What Do We Know about Its Genetic Predisposition? Int J Mol Sci 2023; 24:17020. [PMID: 38069345 PMCID: PMC10707471 DOI: 10.3390/ijms242317020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
Ovarian cancer (OC) is one of the leading causes of cancer-related deaths in women. Most patients are diagnosed with advanced epithelial OC in their late 60s, and early-onset adult OC diagnosed ≤30 years is rare, accounting for less than 5% of all OC cases. The most significant risk factor for OC development are germline pathogenic/likely pathogenic variants (GPVs) in OC predisposition genes (including BRCA1, BRCA2, BRIP1, RAD51C, RAD51D, Lynch syndrome genes, or BRIP1), which contribute to the development of over 20% of all OC cases. GPVs in BRCA1/BRCA2 are the most prevalent. The presence of a GPV directs tailored cancer risk-reducing strategies for OC patients and their relatives. Identification of OC patients with GPVs can also have therapeutic consequences. Despite the general assumption that early cancer onset indicates higher involvement of hereditary cancer predisposition, the presence of GPVs in early-onset OC is rare (<10% of patients), and their heritability is uncertain. This review summarizes the current knowledge on the genetic predisposition to early-onset OC, with a special focus on epithelial OC, and suggests other alternative genetic factors (digenic, oligogenic, polygenic heritability, genetic mosaicism, imprinting, etc.) that may influence the development of early-onset OC in adult women lacking GPVs in known OC predisposition genes.
Collapse
Affiliation(s)
- Klara Horackova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
| | - Marketa Janatova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
| | - Petra Kleiblova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic
| | - Zdenek Kleibl
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, 128 00 Prague, Czech Republic
| | - Jana Soukupova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
| |
Collapse
|
5
|
He H, Shen Q, He MM, Qiu W, Wang H, Zhang S, Qin S, Lu Z, Zhu Y, Tian J, Chang J, Wang K, Zhang X, Miao X, Song M, Zhong R. In Utero and Childhood/Adolescence Exposure to Tobacco Smoke, Genetic Risk, and Cancer Incidence in Adulthood: A Prospective Cohort Study. Mayo Clin Proc 2023; 98:1164-1176. [PMID: 37422733 DOI: 10.1016/j.mayocp.2023.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 03/11/2023] [Accepted: 03/28/2023] [Indexed: 07/10/2023]
Abstract
OBJECTIVE To evaluate the association of early-life tobacco smoke exposure, especially interacting with cancer genetic variants, with adult cancer. PARTICIPANTS AND METHODS We examined the associations of in utero tobacco smoke exposure, age of smoking initiation, and their interaction with genetic risk levels with cancer incidence in 393,081 participants from the UK Biobank. Information on tobacco exposure was obtained by self-reported questionnaires. A cancer polygenic risk score was constructed by weighting and integrating 702 genome-wide association studies-identified risk variants. Cox proportional hazards regression models were used to calculate hazard ratios (HRs) for overall cancer and organ-specific cancer incidence. RESULTS During 11.8 years of follow-up, 23,450 (5.97%) and 23,413 (6.03%) incident cancers were included in the analyses of in utero exposure and age of smoking initiation, respectively. The HR (95% CI) for incident cancer in participants with in utero exposure to tobacco smoke was 1.04 (1.01-1.07) for overall cancer, 1.59 (1.44-1.75) for respiratory cancer, and 1.09 (1.03-1.17) for gastrointestinal cancer. The relative risk of incident cancer increased with earlier smoking initiation (Ptrend<.001), with the HR (95% CI) of 1.44 (1.36-1.51) for overall cancer, 13.28 (11.39-15.48) for respiratory cancer, and 1.72 (1.54-1.91) for gastrointestinal cancer in smokers with initiation in childhood compared with never smokers. Importantly, a positive additive interaction between age of smoking initiation and genetic risk was observed for overall cancer (Padditive=.04) and respiratory cancer (Padditive=.003) incidence. CONCLUSION In utero exposure and earlier smoking initiation are associated with overall and organ-specific cancer, and age of smoking initiation interaction with genetic risk is associated with respiratory cancer.
Collapse
Affiliation(s)
- Heng He
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Qian Shen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ming-Ming He
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Weihong Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Haoxue Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shanshan Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shifan Qin
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zequn Lu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Jiang Chang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Clinical and Translational Epidemiology Unit, Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Rong Zhong
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| |
Collapse
|
6
|
Sellers TA, Peres LC, Hathaway CA, Tworoger SS. Prevention of Epithelial Ovarian Cancer. Cold Spring Harb Perspect Med 2023; 13:a038216. [PMID: 37137500 PMCID: PMC10411689 DOI: 10.1101/cshperspect.a038216] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Given the challenges with achieving effective and durable treatment for epithelial ovarian cancer, primary prevention is highly desirable. Fortunately, decades of research have provided evidence for several strategies that can be deployed to optimize risk reduction. These include surgery, chemoprevention, and lifestyle factor modifications. These broad categories vary in terms of the magnitude of risk reduction possible, the possible short-term and long-term side effects, the degree of difficulty, and acceptability. Thus, the concept of a risk-based model to personalize preventive interventions is advocated to guide discussion between care providers and women at risk. For women with inherited major gene mutations that greatly increase risk of ovarian cancer, surgical approaches have favorable risk to benefit ratios. Chemoprevention and lifestyle factor modifications portend a lower degree of risk reduction but confer lower risk of undesirable side effects. Since complete prevention is not currently possible, better methods for early detection remain a high priority.
Collapse
Affiliation(s)
- Thomas A Sellers
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, USA
| | - Lauren C Peres
- Department of Cancer Epidemiology, Moffitt Cancer Center & Research Institute, Tampa, Florida 33612, USA
| | - Cassandra A Hathaway
- Department of Cancer Epidemiology, Moffitt Cancer Center & Research Institute, Tampa, Florida 33612, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center & Research Institute, Tampa, Florida 33612, USA
| |
Collapse
|
7
|
Liu S, Feng S, Du F, Zhang K, Shen Y. Association of smoking, alcohol, and coffee consumption with the risk of ovarian cancer and prognosis: a mendelian randomization study. BMC Cancer 2023; 23:256. [PMID: 36941558 PMCID: PMC10026459 DOI: 10.1186/s12885-023-10737-1] [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: 10/14/2022] [Accepted: 03/14/2023] [Indexed: 03/22/2023] Open
Abstract
OBJECTIVE Currently, the association between smoking, alcohol, and coffee intake and the risk of ovarian cancer (OC) remains conflicting. In this study, we used a two-sample mendelian randomization (MR) method to evaluate the association of smoking, drinking and coffee consumption with the risk of OC and prognosis. METHODS Five risk factors related to lifestyles (cigarettes per day, smoking initiation, smoking cessation, alcohol consumption and coffee consumption) were chosen from the Genome-Wide Association Study, and 28, 105, 10, 36 and 36 single-nucleotide polymorphisms (SNPs) were obtained as instrumental variables (IVs). Outcome variables were achieved from the Ovarian Cancer Association Consortium. Inverse-variance-weighted method was mainly used to compute odds ratios (OR) and 95% confidence intervals (Cl). RESULTS The two-sample MR analysis supported the causal association of genetically predicted smoking initiation (OR: 1.15 per SD, 95%CI: 1.02-1.29, P = 0.027) and coffee consumption (OR: 1.40 per 50% increase, 95%CI: 1.02-1.93, P = 0.040) with the risk of OC, but not cigarettes per day, smoking cessation, and alcohol consumption. Subgroup analysis based on histological subtypes revealed a positive genetical predictive association between coffee consumption and endometrioid OC (OR: 3.01, 95%CI: 1.50-6.04, P = 0.002). Several smoking initiation-related SNPs (rs7585579, rs7929518, rs2378662, rs10001365, rs11078713, rs7929518, and rs62098013), and coffee consumption-related SNPs (rs4410790, and rs1057868) were all associated with overall survival and cancer-specific survival in OC. CONCLUSION Our findings provide the evidence for a favorable causal association of genetically predicted smoking initiation and coffee consumption with OC risk, and coffee consumption is linked to a greater risk of endometrioid OC.
Collapse
Affiliation(s)
- Sicong Liu
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Songwei Feng
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Furong Du
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, Jiangsu, 210042, China
| | - Ke Zhang
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Yang Shen
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
| |
Collapse
|
8
|
He H, He MM, Wang H, Qiu W, Liu L, Long L, Shen Q, Zhang S, Qin S, Lu Z, Cai Y, Zhang M, Niu S, Li J, Shen N, Zhu Y, Tian J, Chang J, Miao X, Zhong R. In Utero and Childhood/Adolescence Exposure to Tobacco Smoke, Genetic Risk, and Lung Cancer Incidence and Mortality in Adulthood. Am J Respir Crit Care Med 2023; 207:173-182. [PMID: 35943859 DOI: 10.1164/rccm.202112-2758oc] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Rationale: The individual effects of early-life tobacco smoke exposure and its interactions with genetic factors on lung cancer in adulthood remain unclear. Objectives: To investigate the associations of early-life tobacco exposures as well as their interactions with polygenic risk scores (PRSs) with lung cancer incidence and mortality. Methods: A total of 432,831 participants from the UK Biobank study were included. We estimated the associations of in utero exposure to tobacco smoke, the age of smoking initiation and their interactions with PRSs with lung cancer incidence and mortality in adulthood using Cox proportional hazard models. Measurements and Main Results: Lung cancer incidence (hazard ratio [HR]: 1.59, 95% confidence interval [CI], 1.44-1.76) increased among participants with in utero tobacco exposure. Multivariable-adjusted HRs (with 95% CIs) of lung cancer incidence for smoking initiation in adulthood, adolescence, and childhood (versus never-smokers) were 6.10 (5.25-7.09), 9.56 (8.31-11.00), and 15.15 (12.90-17.79) (Ptrend < 0.001). Similar findings were observed in lung cancer mortality. Participants with high PRSs and in utero tobacco exposure (versus low PRSs participants without in utero exposure) had an HR of 2.35 for lung cancer incidence (95% CI, 1.97-2.80, Pinteraction = 0.089) and 2.43 for mortality (95% CI, 2.05-2.88, Pinteraction = 0.032). High PRSs with smoking initiation in childhood (versus never-smokers with low PRSs) had HRs of 18.71 for incidence (95% CI, 14.21-24.63, Pinteraction = 0.004) and 19.74 for mortality (95% CI, 14.98-26.01, Pinteraction = 0.033). Conclusions: In utero and childhood/adolescence exposure to tobacco smoke and its interaction with genetic factors may substantially increase the risks of lung cancer incidence and mortality in adulthood.
Collapse
Affiliation(s)
- Heng He
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Ming-Ming He
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Haoxue Wang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Weihong Qiu
- Department of Occupational & Environmental Health, and
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Liu
- Division of Cardiology, Department of Internal Medicine and
| | - Lu Long
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; and
| | - Qian Shen
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Shanshan Zhang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Shifan Qin
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Zequn Lu
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Yimin Cai
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Ming Zhang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Siyuan Niu
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Jiaoyuan Li
- Department of Laboratory Medicine Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Na Shen
- Department of Laboratory Medicine Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Zhu
- School of Health Sciences, Wuhan University, Wuhan, China
| | - Jianbo Tian
- School of Health Sciences, Wuhan University, Wuhan, China
| | - Jiang Chang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| | - Xiaoping Miao
- School of Health Sciences, Wuhan University, Wuhan, China
| | - Rong Zhong
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health
| |
Collapse
|
9
|
Hathaway CA, Wang T, Townsend MK, Vinci C, Jake-Schoffman DE, Saeed-Vafa D, Segura CM, Nguyen JV, Conejo-Garcia JR, Fridley BL, Tworoger SS. Lifetime Exposure to Cigarette Smoke and Risk of Ovarian Cancer by T-cell Tumor Immune Infiltration. Cancer Epidemiol Biomarkers Prev 2023; 32:66-73. [PMID: 36318652 PMCID: PMC9839509 DOI: 10.1158/1055-9965.epi-22-0877] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/21/2022] [Accepted: 10/27/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Exposure to cigarette smoke, particularly in early life, is modestly associated with ovarian cancer risk and may impact systemic immunity and the tumor immune response. However, no studies have evaluated whether cigarette smoke exposure impacts the ovarian tumor immune microenvironment. METHODS Participants in the Nurses' Health Study (NHS) and NHSII reported on early life exposure to cigarette smoke and personal smoking history on questionnaires (n = 165,760). Multiplex immunofluorescence assays were used to measure markers of T cells and immune checkpoints in tumor tissue from 385 incident ovarian cancer cases. We used Cox proportional hazards models to evaluate HRs and 95% confidence intervals (CI) for developing ovarian tumors with a low (<median) or high (≥median) immune cell percentage by cigarette exposure categories. RESULTS Women exposed versus not to cigarette smoke early in life had a higher risk of developing ovarian cancer with low levels of T cells overall (CD3+: HR: 1.54, 95% CI: 1.08-2.20) and recently activated cytotoxic T cells (CD3+CD8+CD69+: HR: 1.45, 95% CI: 1.05-2.00). These findings were not statistically significant at the Bonferroni-corrected P value of 0.0083. Adult smoking was not significantly associated with tumor immune markers after Bonferroni correction. CONCLUSIONS These results suggest early life cigarette smoke exposure may modestly increase risk of developing ovarian tumors with low abundance of total T cells and recently activated cytotoxic T cells. IMPACT Future research should focus on understanding the impact of exposures throughout the life course on the ovarian tumor immune microenvironment.
Collapse
Affiliation(s)
| | - Tianyi Wang
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Mary K. Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Christine Vinci
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida, USA
| | | | - Daryoush Saeed-Vafa
- Department of Anatomic Pathology, Moffitt Cancer Center, Tampa, Florida, USA.,Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida, USA
| | - Carlos Moran Segura
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida, USA
| | - Jonathan V. Nguyen
- Advanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida, USA
| | | | - Brooke L. Fridley
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida, USA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| |
Collapse
|