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Hernández-García M, Molina-Barceló A, Vanaclocha-Espi M, Zurriaga Ó, Pérez-Gómez B, Aragonés N, Amiano P, Altzibar JM, Castaño-Vinyals G, Sala M, Ederra M, Martín V, Gómez-Acebo I, Vidal C, Tardón A, Marcos-Gragera R, Pollán M, Kogevinas M, Salas D. Differences in breast cancer-risk factors between screen-detected and non-screen-detected cases (MCC-Spain study). Cancer Causes Control 2021; 33:125-136. [PMID: 34817770 PMCID: PMC8739309 DOI: 10.1007/s10552-021-01511-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 10/15/2021] [Indexed: 12/14/2022]
Abstract
Purpose The variation in breast cancer (BC)-risk factor associations between screen-detected (SD) and non-screen-detected (NSD) tumors has been poorly studied, despite the interest of this aspect in risk assessment and prevention. This study analyzes the differences in breast cancer-risk factor associations according to detection method and tumor phenotype in Spanish women aged between 50 and 69. Methods We examined 900 BC cases and 896 controls aged between 50 and 69, recruited in the multicase–control MCC-Spain study. With regard to the cases, 460 were detected by screening mammography, whereas 144 were diagnosed by other means. By tumor phenotype, 591 were HR+, 153 were HER2+, and 58 were TN. Lifestyle, reproductive factors, family history of BC, and tumor characteristics were analyzed. Logistic regression models were used to compare cases vs. controls and SD vs. NSD cases. Multinomial regression models (controls used as a reference) were adjusted for case analysis according to phenotype and detection method. Results TN was associated with a lower risk of SD BC (OR 0.30 IC 0.10–0.89), as were intermediate (OR 0.18 IC 0.07–0.44) and advanced stages at diagnosis (OR 0.11 IC 0.03–0.34). Nulliparity in postmenopausal women and age at menopause were related to an increased risk of SD BC (OR 1.60 IC 1.08–2.36; OR 1.48 IC 1.09–2.00, respectively). Nulliparity in postmenopausal women was associated with a higher risk of HR+ (OR 1.66 IC 1.15–2.40). Age at menopause was related to a greater risk of HR+ (OR 1.60 IC 1.22–2.11) and HER2+ (OR 1.59 IC 1.03–2.45) tumors. Conclusion Reproductive risk factors are associated with SD BC, as are HR+ tumors. Differences in BC-risk factor associations according to detection method may be related to prevailing phenotypes among categories. Supplementary Information The online version contains supplementary material available at 10.1007/s10552-021-01511-4.
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Affiliation(s)
- Marta Hernández-García
- Cancer and Public Health Area, Foundation for the Promotion of Health and Biomedical Research of Valencia Region(FISABIO), Avda. Catalunya 21, 46020, Valencia, Spain
| | - Ana Molina-Barceló
- Cancer and Public Health Area, Foundation for the Promotion of Health and Biomedical Research of Valencia Region(FISABIO), Avda. Catalunya 21, 46020, Valencia, Spain.
| | - Mercedes Vanaclocha-Espi
- Cancer and Public Health Area, Foundation for the Promotion of Health and Biomedical Research of Valencia Region(FISABIO), Avda. Catalunya 21, 46020, Valencia, Spain
| | - Óscar Zurriaga
- Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, University of Valencia, Avda. Vicent Andrés Estellés, s/n, 46100, Burjassot, Valencia, Spain
- Joint Research Unit on Rare Diseases, FISABIO-UVEG, Avda. Catalunya 21, 46020, Valencia, Spain
- Directorate General of Public Health, Avda. Catalunya 21, 46020, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Beatriz Pérez-Gómez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Epidemiology of Chronic Diseases, National Center of Epidemiology, Carlos III Health Institute (ISCIII), Avda. Monforte de Lemos 5, 28029, Madrid, Spain
| | - Nuria Aragonés
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Epidemiology Section, Public Health Division, Department of Health of Madrid, C/San Martín de Porres, 6, 28035, Madrid, Spain
| | - Pilar Amiano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Epidemiology of Chronic and Communicable Diseases Group, Biodonostia Health Research Institute, Doctor Begiristain, s/n, 20014, San Sebastián, Spain
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, 2013, San Sebastian, Spain
| | - Jone M Altzibar
- Epidemiology of Chronic and Communicable Diseases Group, Biodonostia Health Research Institute, Doctor Begiristain, s/n, 20014, San Sebastián, Spain
- ISGlobal, Barcelona Institute for Global Health, Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Gemma Castaño-Vinyals
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- ISGlobal, Barcelona Institute for Global Health, Doctor Aiguader 88, 08003, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Doctor Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Plaça de la Mercè, 10-12, 08002, Barcelona, Spain
| | - María Sala
- IMIM (Hospital del Mar Medical Research Institute), Doctor Aiguader 88, 08003, Barcelona, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Barcelona, Spain
| | - María Ederra
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Navarra Public Health Institute, C/ Leyre, 15, 31003, Navarra, Spain
- IdiSNA, Navarra Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain
| | - Vicente Martín
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- The Research Group in Gene - Environment and Health Interactions (GIIGAS), Biomedicine Institute (IBIOMED), University of León, Vegazana Campus, s/n, 24071, León, Spain
| | - Inés Gómez-Acebo
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Cantabria University- IDIVAL, C/Cardenal Herrera Oria, s/n, Santander, 39011, Cantabria, Spain
| | - Carmen Vidal
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Cancer Screening Unit, Catalan Institute of Oncology, Duran I Reynals Hospital, Avda. de La Gran Via de L'Hospitalet, 199-203, L'Hospitalet de Llobregat, 08908, Barcelona, Spain
- Early Detection of Cancer Research Group, EPIBELL Program, Bellvitge Biomedical Research Institute, Avda. de La Granvia de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Adonina Tardón
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Oncology Institute (IUOPA), University of Oviedo, Edificio Santiago Gascón, Campus El Cristo B, 33006, Oviedo, Spain
| | - Rafael Marcos-Gragera
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology. Sant Ponç, Avda de França, 0, 17007, Girona, Spain
- Descriptive Epidemiology, Genetics and Cancer Prevention Group, [Girona Biomedical Research Institute] IDIBGI, C/ del Dr. Castany, s/n, Salt, 17190, Girona, Spain
| | - Marina Pollán
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- National Center of Epidemiology Directorate, Carlos III Health Institute (ISCIII), Avda. Monforte de Lemos 5, 28029, Madrid, Spain
| | - Manolis Kogevinas
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- ISGlobal, Barcelona Institute for Global Health, Doctor Aiguader 88, 08003, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Doctor Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Plaça de la Mercè, 10-12, 08002, Barcelona, Spain
| | - Dolores Salas
- Cancer and Public Health Area, Foundation for the Promotion of Health and Biomedical Research of Valencia Region(FISABIO), Avda. Catalunya 21, 46020, Valencia, Spain
- Directorate General of Public Health, Avda. Catalunya 21, 46020, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
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Wang Y, Tao H, Paxton RJ, Wang J, Mubarik S, Jia Y, Wang W, Yu C. Post-diagnosis smoking and risk of cardiovascular, cancer, and all-cause mortality in survivors of 10 adult cancers: a prospective cohort study. Am J Cancer Res 2019; 9:2493-2514. [PMID: 31815049 PMCID: PMC6895457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 10/06/2019] [Indexed: 06/10/2023] Open
Abstract
Several studies have examined the relationship between smoking and mortality in cancer survivors. However, few have reported the relationships in several cancer sites (i.e., bladder, non-melanoma skin, uterine, melanoma, and lymphoma), and limited data exist on the dose-response relationship between number of cigarettes smoked per day or duration of smoking cessation and mortality. Cancer survivors (N = 35,093, 61% female, mean age = 47 years old) from the National Health Interview Survey with linked data retrieved from the National Death Index served as our study participants. Cox proportional-hazards models were used to assess associations between smoking status, all-cause, and disease-specific mortality. After a median follow-up of 13 years, 11,066 deaths occurred. Survivors who reported smoking at study entry had a 73%, 75%, 85% higher risk for cardiovascular disease, cancer, and all-cause mortality, respectively when compared to nonsmokers. Former smokers had a 31% and 37% higher risk of all-cause and cancer mortality, respectively when compared to nonsmokers. The observed relationships appeared to differ by the number of cigarettes smoked (i.e., ≥ 10 per day), especially for breast, cervix, lung, prostate, uterine and non-melanoma skin cancer survivors. Those who continued smoking post diagnosis were at greatest risk of all-cause and cancer mortality, but the associations varied substantially by cancer site. These data provide sufficient evidence of the health hazards associated with smoking for cancer survivors and provide further support for public health strategies designed to curb smoking in this vulnerable population.
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Affiliation(s)
- Yafeng Wang
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan UniversityWuhan, China
| | - Huan Tao
- Department of Hematology and Research Laboratory of Hematology, West China Hospital, Sichuan UniversityChengdu, Sichuan, China
| | - Raheem J Paxton
- Department of Community Medicine and Population Health, The University of AlabamaTuscaloosa, AL, United States
| | - Junfeng Wang
- Department of Biomedical Data Sciences, Leiden University Medical Center Einthovenweg 202333ZC, Leiden, The Netherlands
| | - Sumaira Mubarik
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan UniversityWuhan, China
| | - Yongqian Jia
- Department of Hematology and Research Laboratory of Hematology, West China Hospital, Sichuan UniversityChengdu, Sichuan, China
| | - Wei Wang
- School of Mathematical Sciences, Shanghai Jiao Tong UniversityShanghai 200240, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan UniversityWuhan, China
- Global Health Institute, Wuhan UniversityWuhan, China
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Gram IT, Little MA, Lund E, Braaten T. The fraction of breast cancer attributable to smoking: The Norwegian women and cancer study 1991-2012. Br J Cancer 2016; 115:616-23. [PMID: 27280631 PMCID: PMC4997535 DOI: 10.1038/bjc.2016.154] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2016] [Revised: 04/12/2016] [Accepted: 04/30/2016] [Indexed: 11/21/2022] Open
Abstract
Background: Results from several recent cohort studies on smoking and breast cancer incidence and mortality suggest that the burden of smoking on society is underestimated. We estimated the fraction of breast cancer attributable to smoking in the Norwegian Women and Cancer Study, a nationally representative prospective cohort study. Methods: We followed 130 053 women, aged 34–70 years, who completed a baseline questionnaire between 1991 and 2007, through linkages to national registries through December 2012. We used Cox proportional hazards models to estimate hazard ratios (HRs) with 95% confidence intervals (CIs), while adjusting for confounders. Never smokers, excluding passive smokers, were used as the reference group in all main analyses. We estimated attributable fractions (AFs) % in smokers and in the population (PAFs) % with 95% CIs. Results: Altogether, 4293 women developed invasive breast cancer, confirmed by histology. Compared with never active, never passive smokers, ever (former and current) smokers had an overall risk of breast cancer that was 21% higher (HR=1.21; 95% CI=1.08–1.34). For ever smokers, the AF was 17.3% (95% CI =7.4–25.4) and for the population the PAF of breast cancer was 11.9% (95% CI=5.3–18.1). For passive smokers, the PAF of breast cancer was 3.2% (95% CI=1.0–5.4). When we applied PAF estimates for ever smoking on the 2907 new breast cancer cases among Norwegian women aged 35+ at diagnosis in 2012, this yielded 345 (95% CI=154–526) breast cancer cases that could have been avoided in the absence of active smoking that year. Conclusions: In smokers, one in six and in the population, one in nine breast cancer cases could have been avoided in the absence of active smoking. Our findings support the notion that the global cancer burden due to smoking is substantially underestimated.
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Affiliation(s)
- Inger T Gram
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø (UiT) The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
| | - Melissa A Little
- Center for Population Sciences, Department of Preventive Medicine, University of Tennessee Health Science Center, 66 N. Pauline Street, Memphis, TN 38163, USA
| | - Eiliv Lund
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø (UiT) The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
| | - Tonje Braaten
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø (UiT) The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
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Bjerkaas E, Parajuli R, Engeland A, Maskarinec G, Weiderpass E, Gram IT. Social inequalities and smoking-associated breast cancer - Results from a prospective cohort study. Prev Med 2015; 73:125-9. [PMID: 25620729 DOI: 10.1016/j.ypmed.2015.01.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 12/15/2014] [Accepted: 01/05/2015] [Indexed: 10/24/2022]
Abstract
OBJECTIVE The association between smoking and breast cancer has been found in most recent, large cohort studies. We wanted to investigate how smoking-associated breast cancer varies by level of education, a well-established measure of socioeconomic status. METHODS We included 302,865 women with 7490 breast cancer cases. Participants were assigned to low, moderate or high level of education and analyzed by smoking status (ever/never), and stratified by birth cohorts (≤1950>). We used Cox proportional hazard to estimate hazard ratios (HRs) and confidence intervals (CIs), adjusting for age, number of children, age at first childbirth, BMI, age at enrollment and physical activity. RESULTS Women born ≤1950 with low and moderate levels of education had a 40% increase in smoking-associated breast cancer risk (HR=1.40, 95% CI 1.25-1.57 and HR=1.14, 95% CI 1.05-1.24, respectively). Women in the same age group with high level of education did not have an increase in risk. No increased breast cancer risk was found among women born after 1950 for any level of education, when analyzed by smoking status. Longer duration of smoking before first childbirth was consistently associated with increasing risk of breast cancer in all three categories of education (all p for trends<0.01). CONCLUSION Smoking for several years before first childbirth increases the risk of breast cancer, regardless of educational level.
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Affiliation(s)
- Eivind Bjerkaas
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037 Tromsø, Norway
| | - Ranjan Parajuli
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037 Tromsø, Norway
| | - Anders Engeland
- Division of Epidemiology, Department of Pharmacoepidemiology, Norwegian Institute of Public Health, Oslo, Norway; Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | | | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037 Tromsø, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Genetic Epidemiology, Folkhälsan Research Center, Samfundet Folkhälsan, Helsinki, Finland; Department of Research, Cancer Registry of Norway, Oslo, Norway
| | - Inger Torhild Gram
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037 Tromsø, Norway
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