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Xia H, Zhan Y, Wang L, Wang X. Exploring the interplay between circadian rhythms and prostate cancer: insights into androgen receptor signaling and therapeutic opportunities. Front Cell Dev Biol 2024; 12:1421204. [PMID: 39011396 PMCID: PMC11246886 DOI: 10.3389/fcell.2024.1421204] [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: 04/22/2024] [Accepted: 06/11/2024] [Indexed: 07/17/2024] Open
Abstract
Circadian rhythm disruption is closely related to increased incidence of prostate cancer. Incorporating circadian rhythms into the study of prostate cancer pathogenesis can provide a more comprehensive understanding of the causes of cancer and offer new options for precise treatment. Therefore, this article comprehensively summarizes the epidemiology of prostate cancer, expounds the contradictory relationship between circadian rhythm disorders and prostate cancer risk, and elucidates the relationship between circadian rhythm regulators and the incidence of prostate cancer. Importantly, this article also focuses on the correlation between circadian rhythms and androgen receptor signaling pathways, as well as the applicability of time therapy in prostate cancer. This may prove significant in enhancing the clinical treatment of prostate cancer.
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Affiliation(s)
- Hongyan Xia
- College of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China
| | - Yang Zhan
- National Engineering Laboratory for AIDS Vaccine, College of Life Sciences, Jilin University, Changchun, China
| | - Li Wang
- Department of Pathology, Shanxi Medical University, Taiyuan, China
| | - Xiaohui Wang
- Department of Pathology, Shanxi Medical University, Taiyuan, China
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Circadian Disruption and Breast Cancer Risk: Evidence from a Case-Control Study in China. Cancers (Basel) 2023; 15:cancers15020419. [PMID: 36672368 PMCID: PMC9857230 DOI: 10.3390/cancers15020419] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 01/11/2023] Open
Abstract
Studies had suggested an association between circadian disruptors (including night shift work, domestic light exposure at night, sleep duration, and circadian gene polymorphism) and breast cancer, while rare studies had been conducted in the Chinese population. This study was a case-control study conducted to explore the impact of circadian disruptors on the risk of breast cancer in China. Four hundred and sixty-four cases and 464 controls, admitted from the Department of Breast Surgery, Cancer Hospital, Chinese Academy of Medical Sciences, were included in this study. Adjusting age, BMI group, smoking, alcohol consumption, menopausal status, family history of breast cancer, duration of breastfeeding, age at menarche, number of pregnancies, age at first full-term pregnancy, use of estrogen and use of oral contraceptive, multivariate logistic regression analysis showed that the risk of breast cancer was higher in short sleep duration group (OR = 4.86, 95%CI: 1.73-17.33). Meanwhile, rs2292912 in CRY2, rs2253820 in PER1, rs2289591 in PER1 and rs3027188 in PER1 were positively associated with the risk of breast cancer. This study supported that the short duration of sleep and four SNPs in crucial circadian genes played a role in the development of breast cancer.
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Jung AY, Ahearn TU, Behrens S, Middha P, Bolla MK, Wang Q, Arndt V, Aronson KJ, Augustinsson A, Beane Freeman LE, Becher H, Brenner H, Canzian F, Carey LA, Czene K, Eliassen AH, Eriksson M, Evans DG, Figueroa JD, Fritschi L, Gabrielson M, Giles GG, Guénel P, Hadjisavvas A, Haiman CA, Håkansson N, Hall P, Hamann U, Hoppe R, Hopper JL, Howell A, Hunter DJ, Hüsing A, Kaaks R, Kosma VM, Koutros S, Kraft P, Lacey JV, Le Marchand L, Lissowska J, Loizidou MA, Mannermaa A, Maurer T, Murphy RA, Olshan AF, Olsson H, Patel AV, Perou CM, Rennert G, Shibli R, Shu XO, Southey MC, Stone J, Tamimi RM, Teras LR, Troester MA, Truong T, Vachon CM, Wang SS, Wolk A, Wu AH, Yang XR, Zheng W, Dunning AM, Pharoah PDP, Easton DF, Milne RL, Chatterjee N, Schmidt MK, García-Closas M, Chang-Claude J. Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies. J Natl Cancer Inst 2022; 114:1706-1719. [PMID: 35723569 PMCID: PMC9949579 DOI: 10.1093/jnci/djac117] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 03/22/2022] [Accepted: 05/03/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Reproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear. METHODS Analyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided. RESULTS Compared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like. CONCLUSIONS This large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction.
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Affiliation(s)
- Audrey Y Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg (UCCH), Hamburg, Germany
| | - Thomas U Ahearn
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pooja Middha
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen’s University, Kingston, ON, Canada
| | | | - Laura E Beane Freeman
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Heiko Becher
- Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lisa A Carey
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - CTS Consortium
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jonine D Figueroa
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
| | - Lin Fritschi
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Pascal Guénel
- Institut national de la santé et de la recherche médicale (INSERM), University Paris-Saclay, Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, Villejuif, France
| | - Andreas Hadjisavvas
- Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- The Cyprus Institute of Neurology and Genetics, Cyprus School of Molecular Medicine, Nicosia, Cyprus
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anika Hüsing
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Veli-Matti Kosma
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Stella Koutros
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - James V Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Oncology Institute, Warsaw, Poland
| | - Maria A Loizidou
- Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- The Cyprus Institute of Neurology and Genetics, Cyprus School of Molecular Medicine, Nicosia, Cyprus
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Tabea Maurer
- Cancer Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg (UCCH), Hamburg, Germany
| | - Rachel A Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- BC Cancer Agency, Cancer Control Research, Vancouver, BC, Canada
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Håkan Olsson
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Charles M Perou
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gad Rennert
- Carmel Medical Center and Technion Faculty of Medicine, Clalit National Cancer Control Center, Haifa, Israel
| | - Rana Shibli
- Carmel Medical Center and Technion Faculty of Medicine, Clalit National Cancer Control Center, Haifa, Israel
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thérèse Truong
- Institut national de la santé et de la recherche médicale (INSERM), University Paris-Saclay, Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, Villejuif, France
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Sophia S Wang
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Xiaohong R Yang
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Nilanjan Chatterjee
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Bloomberg School of Public Health, John Hopkins University, Baltimore, MD, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Montserrat García-Closas
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg (UCCH), Hamburg, Germany
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Boivin DB, Boudreau P, Kosmadopoulos A. Disturbance of the Circadian System in Shift Work and Its Health Impact. J Biol Rhythms 2021; 37:3-28. [PMID: 34969316 PMCID: PMC8832572 DOI: 10.1177/07487304211064218] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The various non-standard schedules required of shift workers force abrupt changes in the timing of sleep and light-dark exposure. These changes result in disturbances of the endogenous circadian system and its misalignment with the environment. Simulated night-shift experiments and field-based studies with shift workers both indicate that the circadian system is resistant to adaptation from a day- to a night-oriented schedule, as determined by a lack of substantial phase shifts over multiple days in centrally controlled rhythms, such as those of melatonin and cortisol. There is evidence that disruption of the circadian system caused by night-shift work results not only in a misalignment between the circadian system and the external light-dark cycle, but also in a state of internal desynchronization between various levels of the circadian system. This is the case between rhythms controlled by the central circadian pacemaker and clock genes expression in tissues such as peripheral blood mononuclear cells, hair follicle cells, and oral mucosa cells. The disruptive effects of atypical work schedules extend beyond the expression profile of canonical circadian clock genes and affects other transcripts of the human genome. In general, after several days of living at night, most rhythmic transcripts in the human genome remain adjusted to a day-oriented schedule, with dampened group amplitudes. In contrast to circadian clock genes and rhythmic transcripts, metabolomics studies revealed that most metabolites shift by several hours when working nights, thus leading to their misalignment with the circadian system. Altogether, these circadian and sleep-wake disturbances emphasize the all-encompassing impact of night-shift work, and can contribute to the increased risk of various medical conditions. Here, we review the latest scientific evidence regarding the effects of atypical work schedules on the circadian system, sleep and alertness of shift-working populations, and discuss their potential clinical impacts.
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Affiliation(s)
- Diane B Boivin
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Philippe Boudreau
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Anastasi Kosmadopoulos
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
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5
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Sakurada K, Konta T, Takahashi S, Murakami N, Sato H, Murakami R, Watanabe M, Ishizawa K, Ueno Y, Yamashita H, Kayama T. Circadian Clock Gene Polymorphisms and Sleep-Onset Problems in a Population-Based Cohort Study: The Yamagata Study. TOHOKU J EXP MED 2021; 255:325-331. [PMID: 34924458 DOI: 10.1620/tjem.255.325] [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: 11/18/2022]
Abstract
A number of genome-wide association studies have investigated sleep phenotypes and disorders in humans. However, the contribution of genetic variation to sleep problems in Japanese populations has remained unclear. Sleep-onset problems are the most common symptom of insomnia. Here, we examined the relationship between single nucleotide polymorphisms (SNPs) of BMAL1 (ARNTL1), CLOCK, CRY1, CRY2, and PER2, which are genes involved in the clock mechanism, and sleep-onset problems in a Japanese general population. This study included 1,397 subjects aged ≥ 40 years who participated in an annual health check-up in Yamagata Prefecture. A total of 80 SNPs of 5 circadian clock genes were analyzed. Multivariate logistic regression analyses identified variant rs11113179 in CRY1 and variants rs1026071 and rs1562438 in BMAL1 as genetic risk factors for sleep induction disorder. These findings suggest that CRY1 and BMAL1 polymorphisms are related to sleep-onset problems in a Japanese general population. However, none of the SNPs remained significant at a stringent level of multiple correction.
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Affiliation(s)
- Kaori Sakurada
- Department of Fundamental Nursing, Yamagata University Graduate School of Nursing
| | - Tsuneo Konta
- Department of Public Health and Hygiene, Yamagata University Graduate School of Medical Science
| | | | - Narumi Murakami
- Department of Fundamental Nursing, Yamagata University Graduate School of Nursing
| | - Hidenori Sato
- Global Center of Excellence, Yamagata University School of Medicine
| | - Ryoko Murakami
- Global Center of Excellence, Yamagata University School of Medicine
| | | | - Kenichi Ishizawa
- Global Center of Excellence, Yamagata University School of Medicine
| | - Yoshiyuki Ueno
- Global Center of Excellence, Yamagata University School of Medicine
| | | | - Takamasa Kayama
- Global Center of Excellence, Yamagata University School of Medicine
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Peng LU, Bai G, Pang Y. Roles of NPAS2 in circadian rhythm and disease. Acta Biochim Biophys Sin (Shanghai) 2021; 53:1257-1265. [PMID: 34415290 DOI: 10.1093/abbs/gmab105] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Indexed: 11/14/2022] Open
Abstract
NPAS2, a circadian rhythm gene encoding the neuronal PAS domain protein 2 (NPAS2), has received widespread attention because of its complex functions in cells and diverse roles in disease progression, especially tumorigenesis. NPAS2 binds with DNA at E-box sequences and forms heterodimers with another circadian protein, brain and muscle ARNT-like protein 1 (BMAL1). Nucleotide variations of the NPAS2 gene have been shown to influence the overall survival and risk of death of cancer patients, and differential expression of NPAS2 has been linked to patient outcomes in breast cancer, lung cancer, non-Hodgkin's lymphoma, and other diseases. Here, we review the latest advances in our understanding of NPAS2 with the aim of drawing attention to its potential clinical applications and prospects.
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Affiliation(s)
- L u Peng
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan 250012, China
| | - Gaigai Bai
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan 250012, China
| | - Yingxin Pang
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan 250012, China
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Benna C, Rajendran S, Spiro G, Menin C, Dall'Olmo L, Rossi CR, Mocellin S. Gender-specific associations between polymorphisms of the circadian gene RORA and cutaneous melanoma susceptibility. J Transl Med 2021; 19:57. [PMID: 33549124 PMCID: PMC7866430 DOI: 10.1186/s12967-021-02725-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 01/28/2021] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Melanoma is the deadliest of skin cancers and has an increasing annual incidence worldwide. It is a multi-factorial disease most likely arising from both genetic predisposition and environmental exposure to ultraviolet light. Genetic variability of the components of the biological circadian clock is recognized to be a risk factor for different type of cancers. Moreover, two variants of a clock gene, RORA, have been associated with melanoma patient's prognosis. Our aim is to test the hypothesis that specific single nucleotide polymorphisms (SNPs) of the circadian clock genes may significantly influence the predisposition to develop cutaneous melanoma or the outcome of melanoma patients. METHODS We genotyped 1239 subjects, 629 cases of melanoma and 610 healthy controls in 14 known SNPs of seven selected clock genes: AANAT, CLOCK, NPAS2, PER1, PER2, RORA, and TIMELESS. Genotyping was conducted by q-PCR. Multivariate logistic regression was employed for susceptibility of melanoma assessment, modeled additively. Subgroup analysis was performed by gender. For the female subgroup, a further discrimination was performed by age. For prognosis of melanoma assessment, multivariate Cox proportional hazard regression was employed. The Benjamini-Hochberg method was utilized as adjustment for multiple comparisons. RESULTS We identified two RORA SNPs statistically significant with respect to the association with melanoma susceptibility. Considering the putative role of RORA as a nuclear steroid hormone receptor, we conducted a subgroup analysis by gender. Interestingly, the RORA rs339972 C allele was associated with a decreased predisposition to develop melanoma only in the female subgroup (OR 0.67; 95% CI 0.51-0.88; P = 0.003) while RORA rs10519097 T allele was associated with a decreased predisposition to develop melanoma only in the male subgroup (OR 0.62; 95% CI 0.44-0.87; P = 0.005). Moreover, the RORA rs339972 C allele had a decreased susceptibility to develop melanoma only in females aged over 50 years old (OR 0.67; 95% CI 0.54-0.83; P = 0.0002). None of the studied SNPs were significantly associated with the prognosis. CONCLUSIONS Overall, we cannot ascertain that circadian pathway genetic variation is involved in melanoma susceptibility or prognosis. Nevertheless, we identified an interesting relationship between melanoma susceptibility and RORA polymorphisms acting in sex-specific manner and which is worth further future investigation.
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Affiliation(s)
- Clara Benna
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy. .,First Surgical Clinic, Azienda Ospedaliera Padova, Padova, Italy.
| | - Senthilkumar Rajendran
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Giovanna Spiro
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Chiara Menin
- Immunology and Diagnostic Molecular Oncology Unit, Veneto Institute of Oncology (IOV - IRCCS), Padova, Italy
| | - Luigi Dall'Olmo
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy.,Surgical Oncology Unit, Veneto Institute of Oncology (IOV-IRCCS), Padova, Italy
| | - Carlo Riccardo Rossi
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy.,Surgical Oncology Unit, Veneto Institute of Oncology (IOV-IRCCS), Padova, Italy
| | - Simone Mocellin
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy.,Surgical Oncology Unit, Veneto Institute of Oncology (IOV-IRCCS), Padova, Italy
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Li B, Mu L, Li Y, Xia K, Yang Y, Aman S, Ahmad B, Li S, Wu H. TIMELESS inhibits breast cancer cell invasion and metastasis by down-regulating the expression of MMP9. Cancer Cell Int 2021; 21:38. [PMID: 33430865 PMCID: PMC7798230 DOI: 10.1186/s12935-021-01752-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 01/02/2021] [Indexed: 12/20/2022] Open
Abstract
Breast cancer is the first killer leading to female death, and tumor metastasis is one of the important factors leading to the death of patients, but the specific mechanism of breast cancer metastasis is not very clear at present. Our study showed that overexpression of TIMELESS could significantly inhibit the invasion and metastasis of breast cancer cells ZR-75-30 and the assembly of F-actin protein. On the contrary, knockdown of TIMELESS promoted the invasion and metastasis of breast cancer cells. Further study revealed that TIMELESS overexpression decreased the mRNA and protein levels of MMP9. Furthermore, TIMELESS could interact with p65, leading to repress the association of p65 and its acetyltransferase CBP and down-regulating the acetylation level of p65, which inhibited the activation of NF-κB signal pathway. In conclusion, our research showed that TIMELESS may repress the invasion and metastasis of breast cancer cells via inhibiting the acetylation of p65, inhibiting the activation of NF-κB, thus down-regulating the expression of MMP9, and then inhibiting the invasion and metastasis of breast cancer cells.
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Affiliation(s)
- Bowen Li
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China
| | - Liying Mu
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China
| | - Yanan Li
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China
| | - Kangkai Xia
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China
| | - Yuxi Yang
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China
| | - Sattout Aman
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China
| | - Bashir Ahmad
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China
| | - Shujing Li
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China.
| | - Huijian Wu
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Liaoning Province, Dalian University of Technology, 2 Ling Gong Road, Dalian, 116024, Liaoning, China.
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9
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Relationship between Night Shifts and Risk of Breast Cancer among Nurses: A Systematic Review. ACTA ACUST UNITED AC 2020; 56:medicina56120680. [PMID: 33321692 PMCID: PMC7764664 DOI: 10.3390/medicina56120680] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 11/28/2020] [Accepted: 12/02/2020] [Indexed: 12/11/2022]
Abstract
Background and objectives: The incidence of breast cancer worldwide has increased in recent decades, accounting for 1 in 3 neoplasms in women. Besides, nurses are mainly represented by the female collective, most of them, undertaking working conditions with intensive rotative and night shifts due to the 24-h pace of work of this profession. The objective of this study was to assess the possible relationship between shift work, especially night-time work, and the development of breast cancer among nurses. Materials and Methods: A systematic review of the literature was carried out through the consultation of the following databases: Cochrane Plus Library, PubMed, CINAHL (Cumulative Index to Nursing and Allied Health Literature), Web of Science, ScienceDirect, Scopus, and Dialnet. Records were selected between 2010 and 2020, in Spanish and English, which covered the association between breast cancer diagnosed among nursing professionals and rotating night shifts. Results: A total of 12 studies were identified after critical reading. Most of the studies found an association between breast cancer and consecutive rotating night shifts prolonged over time. Among the associated factors, the alteration of the circadian rhythm influenced the expression of peripheral clock genes, which was the same as reproductive hormones. The risk of breast cancer in nurses increased during early adulthood and after 5 or more years with 6 or more consecutive nights. Conclusions: The different studies of this review show significant associations between breast cancer and prolonged rotating night shifts. Similarly, there is a relationship between the alterations in certain circadian rhythm markers (such as melatonin), epigenetic markers (such as telomeres), and breast cancer that would require more studies in order to corroborate these findings.
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10
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Wendeu-Foyet MG, Cénée S, Koudou Y, Trétarre B, Rébillard X, Cancel-Tassin G, Cussenot O, Boland A, Olaso R, Deleuze JF, Blanché H, Lamy PJ, Mulot C, Laurent-Puig P, Truong T, Menegaux F. Circadian genes polymorphisms, night work and prostate cancer risk: Findings from the EPICAP study. Int J Cancer 2020; 147:3119-3129. [PMID: 32506468 DOI: 10.1002/ijc.33139] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 05/04/2020] [Accepted: 05/18/2020] [Indexed: 11/10/2022]
Abstract
Over the past two decades, several studies have attempted to understand the hypothesis that disrupting the circadian rhythm may promote the development of cancer. Some have suggested that night work and some circadian genes polymorphisms are associated with cancer, including prostate cancer. Our study aims to test the hypothesis that prostate cancer risk among night workers may be modulated by genetic polymorphisms in the circadian pathway genes based on data from the EPICAP study, a population-based case-control study including 1511 men (732 cases/779 controls) with genotyped data. We estimated odds ratio (ORs) and P values of the association between prostate cancer and circadian gene variants using logistic regression models. We tested the interaction between circadian genes variants and night work indicators that were significantly associated with prostate cancer at pathway, gene and SNP levels. Analyses were also stratified by each of these night work indicators and by cancer aggressiveness. The circadian pathway was significantly associated with aggressive prostate cancer among night workers (P = .004), particularly for men who worked at night for <20 years (P = .0002) and those who performed long night shift (>10 hours, P = .001). At the gene level, we observed among night workers significant associations between aggressive prostate cancer and ARNTL, NPAS2 and RORA. At the SNP-level, no significant association was observed. Our findings provide some clues of a potential modulating effect of circadian genes in the relationship between night work and prostate cancer. Further investigation is warranted to confirm these findings and to better elucidate the biological pathways involved.
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Affiliation(s)
| | - Sylvie Cénée
- Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France
| | - Yves Koudou
- Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France
| | - Brigitte Trétarre
- Registre des Tumeurs de l'Hérault, EA 2415, ICM, Montpellier, France
| | | | - Géraldine Cancel-Tassin
- CeRePP, Hopital Tenon, Paris, France
- Sorbonne Université, GRC no. 5, ONCOTYPE-URO, AP-HP, Hôpital Tenon, Paris, France
| | - Olivier Cussenot
- CeRePP, Hopital Tenon, Paris, France
- Sorbonne Université, GRC no. 5, ONCOTYPE-URO, AP-HP, Hôpital Tenon, Paris, France
| | - Anne Boland
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Saint-Aubin, France
| | - Robert Olaso
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Saint-Aubin, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Saint-Aubin, France
| | - Hélène Blanché
- Centre d'Etude du Polymorphisme Humain (CEPH), Fondation Jean Dausset, Paris, France
| | - Pierre-Jean Lamy
- Clinique Beau Soleil, Service Urologie, Montpellier, France
- Institut médical d'Analyse Génomique-Imagenome, Labosud, Montpellier, France
| | - Claire Mulot
- Université Paris Descartes, INSERM UMR-S1147 EPIGENETEC, Paris, France
| | | | - Thérèse Truong
- Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France
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11
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Circadian clocks in breast cancer. Arch Toxicol 2020; 94:3603-3604. [PMID: 32918561 DOI: 10.1007/s00204-020-02890-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 08/18/2020] [Indexed: 10/23/2022]
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12
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Liu F, Li X, Liu P, Quan X, Zheng C, Zhou B. Association Between Three Polymorphisms in BMAL1 Genes and Risk of Lung Cancer in a Northeast Chinese Population. DNA Cell Biol 2019; 38:1437-1443. [PMID: 31580742 DOI: 10.1089/dna.2019.4853] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The connection between cancer and circadian rhythms has garnered recent attention. BMAL1 is a core factor in the regulation of circadian rhythms, and its variants have frequently been associated with human diseases, including cancer. Our study first clarifies the relationship of three single-nucleotide polymorphisms (rs3816360, rs2290035, and rs3816358) in BMAL1 with the risk of lung cancer, as well as the gene-environment interaction between the polymorphisms and tobacco exposure in a Northeast Chinese population. A case-control study of 409 new diagnosis patients and 417 controls was performed in Shenyang, Liaoning province. The gene-environment interactions were explored on both additive and multiplicative scale. After Bonferroni correction, rs3816360 and rs2290035 were evidently associated with lung cancer risk. For rs3816360, subjects carrying CC (adjusted odds ratio [OR] = 2.163, 95% confidence interval [CI] = 1.413-3.310, p = 0.004) genotype showed an increased risk of lung cancer compared to the subjects carrying homozygous TT genotype. As for rs2290035, homozygous carriers of AA genotype (OR = 1.908, 95% CI = 1.207-3.017, p = 0.006) showed a significantly increased risk of lung cancer. The dominant models and recessive models of rs3816360 and rs2290035 showed significant associations (p < 0.01). In the stratified analysis, our results revealed that rs3816360 and rs2290035 were associated with the risk of lung adenocarcinoma. However, rs3816358 polymorphism was not significantly associated with lung cancer risk. The measures of additive interaction and logistic models suggested that the gene-environment interactions were not statistically significant on both additive and multiplicative scales.
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Affiliation(s)
- Fangjiang Liu
- Department of Clinical Epidemiology, First Affiliated Hospital, China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Xuelian Li
- Department of Clinical Epidemiology, First Affiliated Hospital, China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Pinyun Liu
- Department of Clinical Epidemiology, First Affiliated Hospital, China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Xiaowei Quan
- Department of Clinical Epidemiology, First Affiliated Hospital, China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Chang Zheng
- Department of Clinical Epidemiology, First Affiliated Hospital, China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Baosen Zhou
- Department of Clinical Epidemiology, First Affiliated Hospital, China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
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13
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Circadian Gene Polymorphisms Associated with Breast Cancer Susceptibility. Int J Mol Sci 2019; 20:ijms20225704. [PMID: 31739444 PMCID: PMC6888181 DOI: 10.3390/ijms20225704] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 11/10/2019] [Accepted: 11/11/2019] [Indexed: 12/24/2022] Open
Abstract
Breast cancer (BC) is a major problem for civilization, manifested by continuously increasing morbidity and mortality among women worldwide. Core circadian genes may play an important role in cancer development and progression. To evaluate the effects of single nucleotide polymorphism (SNP) in circadian genes in BC risk, 16 functional SNPs were genotyped in 321 BC patients and 364 healthy women using the TaqMan fluorescence-labelled probes or High-Resolution Melt Curve technique in the Real-Time PCR system. The selected SNPs were analyzed for the risk of BC, progression, and the influence on gene expression in BC tissue pairs to demonstrate the functionality of genetic variants. The study showed a relationship between an increased BC risk under the dominant genetic model of CRY2 rs10838524, PER2 rs934945, and recessive genetic model of PER1 rs2735611. A protective effect of BMAL1 rs2279287 was observed among carriers with at least one variant allele. Moreover, we found an increased risk of estrogen-/progesterone-positive tumors under the dominant genetic model of PER2 rs934945 and estrogen negative tumors under the variant genotype of CRY2 rs10838524, PER1 rs2735611. We demonstrated significantly altered gene expression of BMAL1, CRY2, PER1, PER2, PER3 according to particular genotypes in the BC tissue pairs. Our findings support the hypothesized role of circadian genes in breast carcinogenesis and indicate probable biomarkers for breast cancer susceptibility.
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14
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Pahwa M, Labrèche F, Kim J, Harris MA, Song C, Peters CE, Arrandale VH, Davies H, McLeod CB, Demers PA. The impact of night shift work on breast cancer: Results from the Burden of Occupational Cancer in Canada Study. Am J Ind Med 2019; 62:635-642. [PMID: 31172551 DOI: 10.1002/ajim.22999] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/06/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND We estimated the proportion and number of female breast cancer cases in Canada attributable to night shift work, a probable cause of breast cancer. METHODS Levin's equation was used to calculate population attributable fractions (PAFs) among Canadian women who ever worked night/rotating shifts from 1961 to 2000, accounting for labor turnover and survival to the year 2011. The calculated PAFs were applied to 2011 Canadian breast cancer incidence statistics to obtain the number of attributable cases. RESULTS Approximately 1.5 million women ever worked night/rotating shifts during 1961-2000 and survived to 2011. The PAFs ranged from 2.0% (95% confidence interval [CI]: 1.4-6.2) to 5.2% (95% CI: 3.7-13.6), and 470 to 1200 incident breast cancer cases in 2011 were likely due to shift work, of which 38% would have been diagnosed among women in health-related occupations. CONCLUSIONS More research is needed to increase the certainty of this association, but current evidence supports workplace-based prevention.
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Affiliation(s)
- Manisha Pahwa
- Occupational Cancer Research Centre, Prevention and Cancer ControlCancer Care OntarioToronto Ontario Canada
| | - France Labrèche
- Institut de recherche Robert‐Sauvé en santé et en sécurité du travailMontréal Quebec Canada
- Department of Environmental and Occupational Health, School of Public HealthUniversité de MontréalMontréal Quebec Canada
| | - Joanne Kim
- Occupational Cancer Research Centre, Prevention and Cancer ControlCancer Care OntarioToronto Ontario Canada
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontréal Quebec Canada
| | - M. Anne Harris
- Occupational Cancer Research Centre, Prevention and Cancer ControlCancer Care OntarioToronto Ontario Canada
- School of Occupational and Public Health, Faculty of Community ServicesRyerson UniversityToronto Ontario Canada
- Dalla Lana School of Public Health, Division of Occupational and Environmental HealthUniversity of TorontoToronto Ontario Canada
| | - Chaojie Song
- Occupational Cancer Research Centre, Prevention and Cancer ControlCancer Care OntarioToronto Ontario Canada
| | - Cheryl E. Peters
- Occupational Cancer Research Centre, Prevention and Cancer ControlCancer Care OntarioToronto Ontario Canada
- CAREX CanadaSimon Fraser UniversityBurnaby British Columbia Canada
- Cancer Epidemiology and Prevention Research, Alberta Health ServicesCancerControl AlbertaCalgary Alberta Canada
- Department of Oncology, Cumming School of MedicineUniversity of CalgaryCalgary Alberta Canada
| | - Victoria H. Arrandale
- Occupational Cancer Research Centre, Prevention and Cancer ControlCancer Care OntarioToronto Ontario Canada
- Dalla Lana School of Public Health, Division of Occupational and Environmental HealthUniversity of TorontoToronto Ontario Canada
| | - Hugh Davies
- Occupational Cancer Research Centre, Prevention and Cancer ControlCancer Care OntarioToronto Ontario Canada
- CAREX CanadaSimon Fraser UniversityBurnaby British Columbia Canada
- School of Population and Public Health, Division of Occupational and Environmental HealthUniversity of British ColumbiaVancouver British Columbia Canada
| | - Christopher B. McLeod
- School of Population and Public Health, Division of Occupational and Environmental HealthUniversity of British ColumbiaVancouver British Columbia Canada
- Institute for Work & HealthToronto Ontario Canada
| | - Paul A. Demers
- Occupational Cancer Research Centre, Prevention and Cancer ControlCancer Care OntarioToronto Ontario Canada
- Dalla Lana School of Public Health, Division of Occupational and Environmental HealthUniversity of TorontoToronto Ontario Canada
- CAREX CanadaSimon Fraser UniversityBurnaby British Columbia Canada
- School of Population and Public Health, Division of Occupational and Environmental HealthUniversity of British ColumbiaVancouver British Columbia Canada
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15
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Night-shift work, circadian and melatonin pathway related genes and their interaction on breast cancer risk: evidence from a case-control study in Korean women. Sci Rep 2019; 9:10982. [PMID: 31358835 PMCID: PMC6662707 DOI: 10.1038/s41598-019-47480-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 07/10/2019] [Indexed: 12/14/2022] Open
Abstract
Our purpose is to investigate the impact of circadian and melatonin pathway genes as well as their interactions with night-shift work (NSW) on breast cancer risk in Korean women. Information about NSW and other covariates was collected using a structured questionnaire and twenty-two polymorphisms in 11 genes were analyzed in a hospital-based case-control study with 941 cases of breast cancer and 959 controls. In analysis of the main effects of each single nucleotide polymorphisms(SNPs), variants in CLOCK rs11133373 was associated with breast cancer risk even after false discovery rate (FDR) correction (Odd Ratios (OR) = 1.38 (95% Confident Interval (CI) 1.14–1.69) in CG and CC compared to GG genotype. Analysis of MTNR1A rs2119882 demonstrated a decreased risk of breast cancer in CC compared to TT (p-FDR = 0.043). A correlation between NSW and breast cancer interaction was found in two loci. NSW increased risk of breast cancer in women who carried the heterozygote genotype of CRY2 rs2292912 (OR = 1.98, 95% CI = 1.14–3.44) or carried at least one minor allele of RORA rs1482057 (OR = 2.20, 95% CI = 1.10–4.37). Our study results support a putative role for several loci of circadian genes and genes of melatonin biosynthesis and their interaction, and the gene interactions with NSW in the development of breast cancer.
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16
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Wendeu-Foyet MG, Koudou Y, Cénée S, Trétarre B, Rébillard X, Cancel-Tassin G, Cussenot O, Boland A, Bacq D, Deleuze JF, Lamy PJ, Mulot C, Laurent-Puig P, Truong T, Menegaux F. Circadian genes and risk of prostate cancer: Findings from the EPICAP study. Int J Cancer 2019; 145:1745-1753. [PMID: 30665264 DOI: 10.1002/ijc.32149] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 12/18/2018] [Indexed: 12/12/2022]
Abstract
Circadian rhythms regulate several physiological functions and genes controlling the circadian rhythm were found to regulate cell proliferation, cell cycle and apoptosis. Few studies have investigated the role of those circadian genes in prostate cancer occurrence. We aim to investigate the relationship between circadian genes polymorphisms and prostate cancer risk based on data from the EPICAP study, a population-based case-control study including 1,515 men (732 cases / 783 controls) with genotyped data. Odds Ratios (ORs) for association between prostate cancer and circadian gene variants were estimated for each of the 872 single nucleotide polymorphisms (SNPs) in 31 circadian clock genes. We also used a gene-based and pathway-based approach with a focus on the pathway including 9 core circadian genes. Separate analyses were conducted by prostate cancer aggressiveness. The core-circadian pathway (p = 0.0006) was significantly associated to prostate cancer, for either low (p = 0.002) or high (p = 0.01) grade tumor. At the gene level, we observed significant associations between all prostate cancer and NPAS2 and PER1 after correcting for multiple testing, while only RORA was significant for aggressive tumors. At the SNP-level, no significant association was observed. Our findings provide additional evidence of a potential link between genetic variants in circadian genes and prostate cancer risk. Further investigation is warranted to confirm these findings and to better understand the biological pathways involved.
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Affiliation(s)
- Méyomo G Wendeu-Foyet
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
| | - Yves Koudou
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
| | - Sylvie Cénée
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
| | | | | | - Géraldine Cancel-Tassin
- CeRePP, Hopital Tenon, Paris, France.,Sorbonne Université, GRC n°5, ONCOTYPE-URO, AP-HP, Hôpital Tenon, Paris
| | - Olivier Cussenot
- CeRePP, Hopital Tenon, Paris, France.,Sorbonne Université, GRC n°5, ONCOTYPE-URO, AP-HP, Hôpital Tenon, Paris
| | - Anne Boland
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Delphine Bacq
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Pierre-Jean Lamy
- Clinique Beau Soleil, Montpellier, France.,Imagenome, Labosud, Montpellier, France
| | - Claire Mulot
- Université Paris Descartes, INSERM UMR-S1147 EPIGENETEC, Paris, France
| | | | - Thérèse Truong
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
| | - Florence Menegaux
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer and Environment, Villejuif, France
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17
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Association between the insulin-like growth factor 1 gene rs2195239 and rs2162679 polymorphisms and cancer risk: a meta-analysis. BMC MEDICAL GENETICS 2019; 20:17. [PMID: 30654740 PMCID: PMC6337782 DOI: 10.1186/s12881-019-0749-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 01/10/2019] [Indexed: 12/29/2022]
Abstract
Background Many epidemiological studies have suggested that insulin-like growth factor1 (IGF1) gene single-nucleotide polymorphisms (SNPs) may be associated with cancer risk. Among several commonly studied polymorphisms in IGF1 gene, rs2195239 and rs2162679 attracted many attentions. So we perform a meta-analysis to determine potential associations between IGF1 rs2195239 and rs2162679 polymorphisms and cancer risk. Methods We retrieved relevant articles from the PubMed, Embase, and Web of Science databases up to April 30, 2018. Ultimately, thirteen studies were included in the present meta-analysis, which involved 12,515 cases and 19,651 controls. The odd ratios (ORs) and their 95% confidence intervals (CIs) were pooled to estimate the strength of the associations. Results rs2195239 reduces the overall cancer risk in homozygote model, as well as reducing cancer risk in Asian populations in allele, homozygote, and recessive models. No significant relationship was found between rs2195239 and breast or pancreatic cancer risk. rs2162679 reduces the overall cancer risk in allele, homozygote, dominant, and recessive models, as well as reducing cancer risk in Asian populations in allele, homozygote, and recessive models. Conclusions IGF1 rs2195239 and rs2162679 were associated with overall cancer risk based on present studies. Electronic supplementary material The online version of this article (10.1186/s12881-019-0749-3) contains supplementary material, which is available to authorized users.
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18
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Schuetz JM, Grundy A, Lee DG, Lai AS, Kobayashi LC, Richardson H, Long J, Zheng W, Aronson KJ, Spinelli JJ, Brooks-Wilson AR. Genetic variants in genes related to inflammation, apoptosis and autophagy in breast cancer risk. PLoS One 2019; 14:e0209010. [PMID: 30601841 PMCID: PMC6314637 DOI: 10.1371/journal.pone.0209010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 11/28/2018] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Inflammation contributes to breast cancer development through its effects on cell damage. This damage is usually dealt with by key genes involved in apoptosis and autophagy pathways. METHODS We tested 206 single nucleotide polymorphisms (SNPs) in 54 genes related to inflammation, apoptosis and autophagy in a population-based breast cancer study of women of European (658 cases and 795 controls) and East Asian (262 cases and 127 controls) descent. Logistic regression was used to estimate odds ratios for breast cancer risk, and case-only analysis to compare breast cancer subtypes (defined by ER/PR/HER2 status), with adjustment for confounders. We assessed statistical interactions between the SNPs and lifestyle factors (smoking status, physical activity and body mass index). RESULTS AND CONCLUSION Although no SNP was associated with breast cancer risk among women of European descent, we found evidence for an association among East Asians for rs1800925 (IL-13) and breast cancer risk (OR = 2.08; 95% CI: 1.32-3.28; p = 0.000779), which remained statistically significant after multiple testing correction (padj = 0.0350). This association was replicated in a meta-analysis of 4305 cases and 4194 controls in the Shanghai Breast Cancer Genetics Study (OR 1.12, 95% CI: 1.03-1.21, p = 0.011). Further, we found evidence of an interaction between rs7874234 (TSC1) and physical activity among women of East Asian descent.
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Affiliation(s)
- Johanna M. Schuetz
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Anne Grundy
- CRCHUM (Centre de recherche du Centre hospitalier de l’Université de Montréal), Montreal, QC, Canada
- Department of Social and Preventive Medicine, Université de Montréal, Montreal, QC, Canada
| | - Derrick G. Lee
- Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada
- Department of Mathematics, Statistics, and Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Agnes S. Lai
- Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Lindsay C. Kobayashi
- Harvard Center for Population and Development Studies, Harvard T. H. Chan School of Public Health, Cambridge, MA, United States of America
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States of America
| | - Harriet Richardson
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
- Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen’s University, Kingston, ON, Canada
| | - Jirong Long
- Vanderbilt Epidemiology Centre, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Wei Zheng
- Vanderbilt Epidemiology Centre, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Kristan J. Aronson
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
- Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen’s University, Kingston, ON, Canada
| | - John J. Spinelli
- Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Angela R. Brooks-Wilson
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
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19
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Benna C, Rajendran S, Spiro G, Tropea S, Del Fiore P, Rossi CR, Mocellin S. Associations of clock genes polymorphisms with soft tissue sarcoma susceptibility and prognosis. J Transl Med 2018; 16:338. [PMID: 30518396 PMCID: PMC6280400 DOI: 10.1186/s12967-018-1715-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 11/30/2018] [Indexed: 12/28/2022] Open
Abstract
Background Dysfunction of the circadian clock and polymorphisms of some circadian genes have been linked to cancer development and progression. We investigated the relationship between circadian genes germline variation and susceptibility or prognosis of patients with soft tissue sarcoma. Patients and methods We considered the 14 single nucleotide polymorphisms (SNPs) of 6 core circadian genes that have a minor allele frequency > 5% and that are known to be associated with cancer risk or prognosis. Genotyping was performed by q-PCR. Peripheral blood and clinic-pathological data were available for 162 patients with liposarcoma or leiomyosarcoma and 610 healthy donors. Associations between the selected clock genes polymorphisms and sarcoma susceptibility or prognosis were tested assuming 3 models of inheritance: additive, recessive and dominant. Subgroup analysis based on sarcoma histotype was performed under the additive genetic model. Multivariate logistic regression and multivariate Cox proportional hazard regression analyses were utilized to assess the association between SNPs with patient susceptibility and survival, respectively. Pathway variation analysis was conducted employing the Adaptive Rank Truncated Product method. Results Six out of the 14 analyzed SNPs were statistically significantly associated with susceptibility or prognosis of soft tissue sarcoma (P < 0.05). The present analysis suggested that carriers of the minor allele of the CLOCK polymorphism rs1801260 (C) or of PER2 rs934945 (T) had a reduced predisposition to sarcoma (26% and 35% respectively with the additive model) and liposarcoma (33% and 41% respectively). The minor allele (A) of NPAS2 rs895520 was associated with an increased predisposition to sarcoma of 33% and leiomyosarcoma of 44%. RORA rs339972 C allele was associated with a decreased predisposition to develop sarcoma assuming an additive model (29%) and leiomyosarcoma (36%). PER1 rs3027178 was associated with a reduced predisposition only in liposarcoma subgroup (32%). rs7602358 located upstream PER2 was significantly associated with liposarcoma survival (HR: 1.98; 95% CI 1.02–3.85; P = 0.04). Germline genetic variation in the circadian pathway was associated with the risk of developing soft tissue sarcoma (P = 0.035). Conclusions Genetic variation of circadian genes appears to play a role in the determinism of patient susceptibility and prognosis. These findings prompt further studies to fully dissect the molecular mechanisms. Electronic supplementary material The online version of this article (10.1186/s12967-018-1715-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Clara Benna
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy. .,Clinica Chirurgica I, Azienda Ospedaliera Padova, Padua, Italy.
| | | | - Giovanna Spiro
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy
| | - Saveria Tropea
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy.,Surgical Oncology Unit, Istituto Oncologico Veneto (IOV-IRCCS), Padua, Italy
| | - Paolo Del Fiore
- Surgical Oncology Unit, Istituto Oncologico Veneto (IOV-IRCCS), Padua, Italy
| | - Carlo Riccardo Rossi
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy.,Surgical Oncology Unit, Istituto Oncologico Veneto (IOV-IRCCS), Padua, Italy
| | - Simone Mocellin
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy.,Surgical Oncology Unit, Istituto Oncologico Veneto (IOV-IRCCS), Padua, Italy
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20
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Circadian clock pathway genes associated with colorectal cancer risk and prognosis. Arch Toxicol 2018; 92:2681-2689. [PMID: 29968159 DOI: 10.1007/s00204-018-2251-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 06/20/2018] [Indexed: 12/13/2022]
Abstract
Circadian clock genes influence biological processes and may be involved in tumorigenesis. We systematically evaluated genetic variants in the circadian clock pathway genes associated with colorectal cancer risk and survival. We evaluated the association of 119 single nucleotide polymorphisms (SNPs) in 27 circadian clock pathway genes with the risk of colorectal cancer in a case-control study (1150 cases and 1342 controls). The false discovery rate (FDR) method was applied to correct for multiple comparisons. Gene-based analysis was performed by the sequence kernel association test (SKAT). Cox proportional hazards regression was used to calculate the effects of SNPs on the overall survival of patients. We identified that compared to those with the G allele, individuals with the rs76436997 A allele in RORA had a significant 1.33-fold increased risk of colorectal cancer (P = 3.83 × 10- 4). Specifically, the GA/AA genotypes were related to an enhanced risk of colorectal cancer compared with that associated with the GG genotype, which was more common in patients with well and moderately differentiated tumors and Dukes A/B stages. The SNP rs76436997 significantly increased the overall survival time of colorectal cancer patients (P = 0.044). Furthermore, RNA-seq data showed that the mRNA levels of RORA were significantly lower in colorectal tumors than the paired normal tissues. Gene-based analysis revealed a significant association between RORA and colorectal cancer risk. These findings highlight the important roles of genetic variations in circadian clock pathway genes play in colorectal cancer risk and suggest that RORA is potentially related to colorectal carcinogenesis.
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21
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Wendeu-Foyet MG, Bayon V, Cénée S, Trétarre B, Rébillard X, Cancel-Tassin G, Cussenot O, Lamy PJ, Faraut B, Ben Khedher S, Léger D, Menegaux F. Night work and prostate cancer risk: results from the EPICAP Study. Occup Environ Med 2018; 75:573-581. [PMID: 29921728 PMCID: PMC6204930 DOI: 10.1136/oemed-2018-105009] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 04/30/2018] [Accepted: 05/11/2018] [Indexed: 12/31/2022]
Abstract
Objective To investigate the role of night work in prostate cancer based on data from the EPICAP Study. Methods EPICAP is a French population-based case-control study including 818 incident prostate cancer cases and 875 frequency-matched controls that have been interviewed face to face on several potential risk factors including lifetime occupational history. Detailed information on work schedules for each job (permanent or rotating night work, duration, total number of nights, length of the shift, number of consecutive nights) as well as sleep duration and chronotype, was gathered. Prostate cancer aggressiveness was assessed by Gleason Score. Results Night work was not associated with prostate cancer, whatever the aggressiveness of prostate cancer, while we observed an overall increased risk among men with an evening chronotype (OR=1.83, 95% CI 1.05 to 3.19). A long duration of at least 20 years of permanent night work was associated with aggressive prostate cancer (OR=1.76, 95% CI 1.13 to 2.75), even more pronounced in combination with a shift length >10 hours or ≥ 6 consecutive nights (OR=4.64, 95% CI 1.78 to 12.13; OR=2.43, 95% CI 1.32 to 4.47, respectively). Conclusion Overall, ever night work, either permanent or rotating, was not associated to prostate cancer. Nevertheless, our results suggest that a long duration of permanent night work in combination with a long shift length or at least six consecutive nights may be associated with prostate cancer, particularly with aggressive prostate cancer. Further studies are needed to confirm those findings.
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Affiliation(s)
- Méyomo Gaelle Wendeu-Foyet
- Team Cancer and Environment, Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Villejuif, France
| | - Virginie Bayon
- Centre du sommeil et de la vigilance, Hôtel Dieu, APHP, Paris, France.,Université Paris Descartes, Sorbonne paris Cité, EA 7330 VIFASOM, Sommeil-Vigilance-Fatigue et Santé Publique, Paris, France
| | - Sylvie Cénée
- Team Cancer and Environment, Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Villejuif, France
| | | | | | | | - Olivier Cussenot
- CeRePP, Hopital Tenon, Paris, France.,Sorbonne Université, Institut Universitaire de Cancérologie, GRC n°5 ONCOTYPE-URO, Hopital Tenon, APHP, Paris, France.,Department of Urology, Assistance Publique- Hôpitaux de Paris, Hopital Tenon, Paris, France
| | - Pierre-Jean Lamy
- Clinique Beau Soleil, Montpellier, France.,Imagenome, Labosud, Montpellier, France
| | - Brice Faraut
- Centre du sommeil et de la vigilance, Hôtel Dieu, APHP, Paris, France.,Université Paris Descartes, Sorbonne paris Cité, EA 7330 VIFASOM, Sommeil-Vigilance-Fatigue et Santé Publique, Paris, France
| | - Soumaya Ben Khedher
- Team Cancer and Environment, Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Villejuif, France
| | - Damien Léger
- Centre du sommeil et de la vigilance, Hôtel Dieu, APHP, Paris, France.,Université Paris Descartes, Sorbonne paris Cité, EA 7330 VIFASOM, Sommeil-Vigilance-Fatigue et Santé Publique, Paris, France
| | - Florence Menegaux
- Team Cancer and Environment, Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Villejuif, France
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22
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González-González A, Mediavilla MD, Sánchez-Barceló EJ. Melatonin: A Molecule for Reducing Breast Cancer Risk. Molecules 2018; 23:E336. [PMID: 29415446 PMCID: PMC6017232 DOI: 10.3390/molecules23020336] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 01/31/2018] [Accepted: 01/31/2018] [Indexed: 01/10/2023] Open
Abstract
The objective of this article is to review the basis supporting the usefulness of melatonin as an adjuvant therapy for breast cancer (BC) prevention in several groups of individuals at high risk for this disease. Melatonin, as a result of its antiestrogenic and antioxidant properties, as well as its ability to improve the efficacy and reduce the side effects of conventional antiestrogens, could safely be associated with the antiestrogenic drugs presently in use. In individuals at risk of BC due to night shift work, the light-induced inhibition of melatonin secretion, with the consequent loss of its antiestrogenic effects, would be countered by administering this neurohormone. BC risk from exposure to metalloestrogens, such as cadmium, could be treated with melatonin supplements to individuals at risk of BC due to exposure to this xenoestrogen. The BC risk related to obesity may be reduced by melatonin which decrease body fat mass, inhibits the enhanced aromatase expression in obese women, increases adiponectin secretion, counteracts the oncogenic effects of elevated concentrations of leptin; and decreases blood glucose levels and insulin resistance. Despite compelling experimental evidence of melatonin's oncostatic actions being susceptible to lowering BC risk, there is still a paucity of clinical trials focused on this subject.
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Affiliation(s)
- Alicia González-González
- Department of Physiology and Pharmacology, School of Medicina, University of Cantabria, 39011 Santander, Spain.
| | - María Dolores Mediavilla
- Department of Physiology and Pharmacology, School of Medicina, University of Cantabria, 39011 Santander, Spain.
| | - Emilio J Sánchez-Barceló
- Department of Physiology and Pharmacology, School of Medicina, University of Cantabria, 39011 Santander, Spain.
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23
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Gu F, Zhang H, Hyland PL, Berndt S, Gapstur SM, Wheeler W, Ellipse Consortium T, Amos CI, Bezieau S, Bickeböller H, Brenner H, Brennan P, Chang-Claude J, Conti DV, Doherty JA, Gruber SB, Harrison TA, Hayes RB, Hoffmeister M, Houlston RS, Hung RJ, Jenkins MA, Kraft P, Lawrenson K, McKay J, Markt S, Mucci L, Phelan CM, Qu C, Risch A, Rossing MA, Wichmann HE, Shi J, Schernhammer E, Yu K, Landi MT, Caporaso NE. Inherited variation in circadian rhythm genes and risks of prostate cancer and three other cancer sites in combined cancer consortia. Int J Cancer 2017; 141:1794-1802. [PMID: 28699174 PMCID: PMC5907928 DOI: 10.1002/ijc.30883] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 05/15/2017] [Accepted: 06/16/2017] [Indexed: 12/20/2022]
Abstract
Circadian disruption has been linked to carcinogenesis in animal models, but the evidence in humans is inconclusive. Genetic variation in circadian rhythm genes provides a tool to investigate such associations. We examined associations of genetic variation in nine core circadian rhythm genes and six melatonin pathway genes with risk of colorectal, lung, ovarian and prostate cancers using data from the Genetic Associations and Mechanisms in Oncology (GAME-ON) network. The major results for prostate cancer were replicated in the Prostate, Lung, Colorectal and Ovarian (PLCO) cancer screening trial, and for colorectal cancer in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). The total number of cancer cases and controls was 15,838/18,159 for colorectal, 14,818/14,227 for prostate, 12,537/17,285 for lung and 4,369/9,123 for ovary. For each cancer site, we conducted gene-based and pathway-based analyses by applying the summary-based Adaptive Rank Truncated Product method (sARTP) on the summary association statistics for each SNP within the candidate gene regions. Aggregate genetic variation in circadian rhythm and melatonin pathways were significantly associated with the risk of prostate cancer in data combining GAME-ON and PLCO, after Bonferroni correction (ppathway < 0.00625). The two most significant genes were NPAS2 (pgene = 0.0062) and AANAT (pgene = 0.00078); the latter being significant after Bonferroni correction. For colorectal cancer, we observed a suggestive association with the circadian rhythm pathway in GAME-ON (ppathway = 0.021); this association was not confirmed in GECCO (ppathway = 0.76) or the combined data (ppathway = 0.17). No significant association was observed for ovarian and lung cancer. These findings support a potential role for circadian rhythm and melatonin pathways in prostate carcinogenesis. Further functional studies are needed to better understand the underlying biologic mechanisms.
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Affiliation(s)
- Fangyi Gu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY
| | - Han Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Paula L Hyland
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | | | | | | | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center Göttingen, Göttingen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David V Conti
- Keck School of Medicine, University of South California, Los Angeles, CA
| | | | - Stephen B Gruber
- Keck School of Medicine, University of South California, Los Angeles, CA
| | - Tabitha A Harrison
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Richard B Hayes
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | | | - James McKay
- International Agency for Research on Cancer, Lyon, France
| | - Sarah Markt
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | - Lorelei Mucci
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | - Catherine M Phelan
- Department of Cancer Epidemiology, Population Sciences Division, Moffitt Cancer Center, Tampa, FL
| | - Conghui Qu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Angela Risch
- Division of Molecular Biology, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
- Translational Lung Research Center, Heidelberg, Germany within the German Center for Lung Research (DZL), Giessen, Germany
- Division of Epigenomics and Cancer Risk Factors, DKFZ German Cancer Research Center, Heidelberg, Germany
| | - Mary Anne Rossing
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, University of Munich, Munich, Bavaria, Germany
- Helmholtz Center Munich, Institute of Epidemiology II, Neuherberg, Germany
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Eva Schernhammer
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Medical University of Vienna, Vienna, Austria
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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24
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Benna C, Helfrich-Förster C, Rajendran S, Monticelli H, Pilati P, Nitti D, Mocellin S. Genetic variation of clock genes and cancer risk: a field synopsis and meta-analysis. Oncotarget 2017; 8:23978-23995. [PMID: 28177907 PMCID: PMC5410358 DOI: 10.18632/oncotarget.15074] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 12/27/2016] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The number of studies on the association between clock genes’ polymorphisms and cancer susceptibility has increased over the last years but the results are often conflicting and no comprehensive overview and quantitative summary of the evidence in this field is available. RESULTS Literature search identified 27 eligible studies comprising 96756 subjects (cases: 38231) and investigating 687 polymorphisms involving 14 clock genes. Overall, 1025 primary and subgroup meta-analyses on 366 gene variants were performed. Study distribution by tumor was as follows: breast cancer (n=15), prostate cancer (n=3), pancreatic cancer (n=2), non-Hodgkin's lymphoma (n=2), glioma (n=1), chronic lymphocytic leukemia (n=1), colorectal cancer (n=1), non-small cell lung cancer (n=1) and ovarian cancer (n=1). We identified 10 single nucleotide polymorphisms (SNPs) significantly associated with cancer risk: NPAS2 rs10165970 (mixed and breast cancer shiftworkers), rs895520 (mixed), rs17024869 (breast) and rs7581886 (breast); CLOCK rs3749474 (breast) and rs11943456 (breast); RORA rs7164773 (breast and breast cancer postmenopausal), rs10519097 (breast); RORB rs7867494 (breast cancer postmenopausal), PER3 rs1012477 (breast cancer subgroups) and assessed the level of quality evidence to be intermediate. We also identified polymorphisms with lower quality statistically significant associations (n=30). CONCLUSIONS Our work supports the hypothesis that genetic variation of clock genes might affect cancer risk. These findings also highlight the need for more efforts in this research field in order to fully establish the contribution of clock gene variants to the risk of developing cancer. METHODS We conducted a systematic review and meta-analysis of the evidence on the association between clock genes’ germline variants and the risk of developing cancer. To assess result credibility, summary evidence was graded according to the Venice criteria and false positive report probability (FPRP) was calculated to further validate result noteworthiness. Subgroup meta-analysis was also performed based on participant features and tumor type. The breast cancer subgroup was further stratified by work conditions, estrogen receptor/progesterone receptor status and menopausal status, conditions associated with the risk of breast cancer in different studies.
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Affiliation(s)
- Clara Benna
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Charlotte Helfrich-Förster
- Neurobiology and Genetics, Theodor-Boveri Institute, Biocenter, University of Würzburg, Würzburg, Germany
| | - Senthilkumar Rajendran
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy
| | | | | | - Donato Nitti
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy.,Clinica Chirurgica I, Azienda Ospedaliera Padova, Padova, Italy
| | - Simone Mocellin
- Department of Surgery Oncology and Gastroenterology, University of Padova, Padova, Italy.,Istituto Oncologico Veneto, IOV-IRCSS, Padova, Italy
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25
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Erren TC, Lewis P. Can yesterday's smoking research inform today's shiftwork research? Epistemological consequences for exposures and doses due to circadian disruption at and off work. J Occup Med Toxicol 2017; 12:29. [PMID: 28912826 PMCID: PMC5594443 DOI: 10.1186/s12995-017-0175-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 09/01/2017] [Indexed: 12/13/2022] Open
Abstract
In 1950, landmark epidemiology studies by Wynder & Graham and Doll & Hill contributed to identifying smoking as a potent carcinogen. In 2007, IARC classified shiftwork involving circadian disruption (CD) as probably carcinogenic; however, epidemiological evidence in regards to the carcinogenicity of shiftwork that involves nightwork is conflicting. We hypothesize that shiftwork research is lacking chronobiological and methodological rigor and that lessons can be learned from comparison with smoking research. Herein, we provide a factual view at, and a fictional case study of, 1940s smoking research which serves as an analogy for current shiftwork research dilemmas. This analogy takes the form of limiting counting cigarettes to a particular time window (i.e. at work) rather than assessing exposures to, and doses of, accumulated smoking over 24 h, highlighting the importance of exposure and dose. Simply put, smoking insights could have been delayed or even disallowed. In conclusion, CD may be similar to smoking insofar as for quantitative measures of cumulative doses, exposures both at and off work may have to be considered. Future work must explore whether such similarity factually exists and whether CD is a cancer hazard in IARC terms.
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Affiliation(s)
- Thomas C Erren
- Institute and Policlinic for Occupational Medicine, Environmental Medicine and Prevention Research, University Hospital of Cologne, Cologne, Germany
| | - Philip Lewis
- Institute and Policlinic for Occupational Medicine, Environmental Medicine and Prevention Research, University Hospital of Cologne, Cologne, Germany
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26
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Gray JM, Rasanayagam S, Engel C, Rizzo J. State of the evidence 2017: an update on the connection between breast cancer and the environment. Environ Health 2017; 16:94. [PMID: 28865460 PMCID: PMC5581466 DOI: 10.1186/s12940-017-0287-4] [Citation(s) in RCA: 109] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 07/17/2017] [Indexed: 05/23/2023]
Abstract
BACKGROUND In this review, we examine the continually expanding and increasingly compelling data linking radiation and various chemicals in our environment to the current high incidence of breast cancer. Singly and in combination, these toxicants may have contributed significantly to the increasing rates of breast cancer observed over the past several decades. Exposures early in development from gestation through adolescence and early adulthood are particularly of concern as they re-shape the program of genetic, epigenetic and physiological processes in the developing mammary system, leading to an increased risk for developing breast cancer. In the 8 years since we last published a comprehensive review of the relevant literature, hundreds of new papers have appeared supporting this link, and in this update, the evidence on this topic is more extensive and of better quality than that previously available. CONCLUSION Increasing evidence from epidemiological studies, as well as a better understanding of mechanisms linking toxicants with development of breast cancer, all reinforce the conclusion that exposures to these substances - many of which are found in common, everyday products and byproducts - may lead to increased risk of developing breast cancer. Moving forward, attention to methodological limitations, especially in relevant epidemiological and animal models, will need to be addressed to allow clearer and more direct connections to be evaluated.
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Affiliation(s)
- Janet M. Gray
- Department of Psychology and Program in Science, Technology, and Society, Vassar College, 124 Raymond Avenue, Poughkeepsie, NY 12604-0246 USA
| | - Sharima Rasanayagam
- Breast Cancer Prevention Partners, 1388 Sutter St., Suite 400, San Francisco, CA 94109-5400 USA
| | - Connie Engel
- Breast Cancer Prevention Partners, 1388 Sutter St., Suite 400, San Francisco, CA 94109-5400 USA
| | - Jeanne Rizzo
- Breast Cancer Prevention Partners, 1388 Sutter St., Suite 400, San Francisco, CA 94109-5400 USA
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27
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Reszka E, Przybek M, Muurlink O, Pepłonska B. Circadian gene variants and breast cancer. Cancer Lett 2017; 390:137-145. [PMID: 28109907 DOI: 10.1016/j.canlet.2017.01.012] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 01/05/2017] [Accepted: 01/11/2017] [Indexed: 12/22/2022]
Abstract
The endogenous and self-sustained circadian rhythm generated and maintained in suprachiasmatic nucleus and peripheral tissues can coordinate various molecular, biochemical and physiological processes in living organisms resulting in the adaptation to environmental cues, e.g. light. Multifactorial breast cancer etiology also involves circadian gene alterations, especially among individuals exposed to light at night. Indeed, shift work that causes circadian disruption has been classified by the International Agency for Research on Cancer as a probable human carcinogen, group 2A. Thus it seems extremely important to recognize specific susceptible gene variants among around 20 candidate circadian genes that may be linked with breast cancer etiology. The aim of this review was to evaluate recent data investigating a putative link between circadian gene polymorphisms and breast cancer risk. We summarize fifteen epidemiological studies, including five studies on shift work that have indicated BMAL1, BMAL2, CLOCK, NPAS2, CRY1, CRY2, PER1, PER3 and TIMELESS as a candidate breast cancer risk variants.
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Affiliation(s)
- Edyta Reszka
- Department of Molecular Genetics and Epigenetics, Nofer Institute of Occupational Medicine, Teresy St. 8, 91-348, Lodz, Poland.
| | - Monika Przybek
- Department of Molecular Genetics and Epigenetics, Nofer Institute of Occupational Medicine, Teresy St. 8, 91-348, Lodz, Poland
| | - Olav Muurlink
- Central Queensland University, 160 Ann Street, Brisbane, Australia; Griffith Institute of Educational Research, 76 Messines Ridge Road, Mount Gravatt, Australia
| | - Beata Pepłonska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Teresy St. 8, 91-348, Lodz, Poland
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Shi J, Aronson KJ, Grundy A, Kobayashi LC, Burstyn I, Schuetz JM, Lohrisch CA, SenGupta SK, Lai AS, Brooks-Wilson A, Spinelli JJ, Richardson H. Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk. Front Oncol 2016; 6:136. [PMID: 27376028 PMCID: PMC4896919 DOI: 10.3389/fonc.2016.00136] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 05/23/2016] [Indexed: 12/18/2022] Open
Abstract
Genetic variants of insulin-like growth factor 1 (IGF1) pathway genes have been shown to be associated with breast density and IGF1 levels and, therefore, may also influence breast cancer risk via pro-survival signaling cascades. The aim of this study was to investigate associations between IGF1 pathway single nucleotide polymorphisms (SNPs) and breast cancer risk among European and East Asian women, and potential interactions with menopausal status and breast tumor subtype. Stratified analyses of 1,037 cases and 1,050 controls from a population-based case–control study were conducted to assess associations with breast cancer for 22 SNPs across 5 IGF1 pathway genes in European and East Asian women. Odds ratios were calculated using logistic regression in additive genetic models. Polytomous logistic regression was used to assess heterogeneity by breast tumor subtype. Two SNPs of the IGF1 gene (rs1019731 and rs12821878) were associated with breast cancer risk among European women. Four highly linked IGF1 SNPs (rs2288378, rs17727841, rs7136446, and rs7956547) were modified by menopausal status among East Asian women only and associated with postmenopausal breast cancers. The association between rs2288378 and breast cancer risk was also modified by breast tumor subtype among East Asian women. Several IGF1 polymorphisms were found to be associated with breast cancer risk and some of these associations were modified by menopausal status or breast tumor subtype. Such interactions should be considered when assessing the role of these variants in breast cancer etiology.
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Affiliation(s)
- Joy Shi
- Department of Public Health Sciences, Cancer Research Institute, Queen's University , Kingston, ON , Canada
| | - Kristan J Aronson
- Department of Public Health Sciences, Cancer Research Institute, Queen's University , Kingston, ON , Canada
| | - Anne Grundy
- Individuals and Families, Alberta Cancer Prevention Legacy Fund, Alberta Health Services , Calgary, AB , Canada
| | - Lindsay C Kobayashi
- Department of Epidemiology and Public Health, University College London , London , UK
| | - Igor Burstyn
- Department of Environmental and Occupational Health, Drexel University , Philadelphia, PA , USA
| | - Johanna M Schuetz
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver, BC , Canada
| | - Caroline A Lohrisch
- Department of Medical Oncology, British Columbia Cancer Agency , Vancouver, BC , Canada
| | - Sandip K SenGupta
- Department of Pathology and Molecular Medicine, Queen's University , Kingston, ON , Canada
| | - Agnes S Lai
- Department of Cancer Control Research, British Columbia Cancer Agency , Vancouver, BC , Canada
| | - Angela Brooks-Wilson
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada; Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - John J Spinelli
- Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Harriet Richardson
- Department of Public Health Sciences, Cancer Research Institute, Queen's University , Kingston, ON , Canada
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Grundy A, Richardson H, Schuetz JM, Burstyn I, Spinelli JJ, Brooks-Wilson A, Aronson KJ. DNA repair variants and breast cancer risk. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2016; 57:269-281. [PMID: 27060854 DOI: 10.1002/em.22013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Accepted: 03/13/2016] [Indexed: 06/05/2023]
Abstract
A functional DNA repair system has been identified as important in the prevention of tumour development. Previous studies have hypothesized that common polymorphisms in DNA repair genes could play a role in breast cancer risk and also identified the potential for interactions between these polymorphisms and established breast cancer risk factors such as physical activity. Associations with breast cancer risk for 99 single nucleotide polymorphisms (SNPs) from genes in ten DNA repair pathways were examined in a case-control study including both Europeans (644 cases, 809 controls) and East Asians (299 cases, 160 controls). Odds ratios in both additive and dominant genetic models were calculated separately for participants of European and East Asian ancestry using multivariate logistic regression. The impact of multiple comparisons was assessed by correcting for the false discovery rate within each DNA repair pathway. Interactions between several breast cancer risk factors and DNA repair SNPs were also evaluated. One SNP (rs3213282) in the gene XRCC1 was associated with an increased risk of breast cancer in the dominant model of inheritance following adjustment for the false discovery rate (P < 0.05), although no associations were observed for other DNA repair SNPs. Interactions of six SNPs in multiple DNA repair pathways with physical activity were evident prior to correction for FDR, following which there was support for only one of the interaction terms (P < 0.05). No consistent associations between variants in DNA repair genes and breast cancer risk or their modification by breast cancer risk factors were observed.
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Affiliation(s)
- Anne Grundy
- CRCHUM (Centre de Recherche du CHUM), Montreal, Quebec, Canada
| | - Harriet Richardson
- Department of Public Health Sciences and Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - Johanna M Schuetz
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | - Igor Burstyn
- Department of Environmental and Occupational Health, Drexel University, Philadelphia, Pennsylvania
| | - John J Spinelli
- Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Angela Brooks-Wilson
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
- Department of Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Kristan J Aronson
- Department of Public Health Sciences and Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
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Qu F, Qiao Q, Wang N, Ji G, Zhao H, He L, Wang H, Bao G. Genetic polymorphisms in circadian negative feedback regulation genes predict overall survival and response to chemotherapy in gastric cancer patients. Sci Rep 2016; 6:22424. [PMID: 26927666 PMCID: PMC4772484 DOI: 10.1038/srep22424] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 02/15/2016] [Indexed: 12/15/2022] Open
Abstract
Circadian negative feedback loop (CNFL) genes play important roles in cancer development and progression. To evaluate the effects of single nucleotide polymorphisms (SNPs) in CNFL genes on the survival of GC patients, 13 functional SNPs from 5 CNFL genes were genotyped in a cohort of 1030 resected GC patients (704 in the training set, 326 in the validation set) to explore the association of SNPs with overall survival (OS). Among the 13 SNPs, three SNPs (rs1056560 in CRY1, rs3027178 in PER1 and rs228729 in PER3) were significantly associated with OS of GC in the training set, and verified in the validation set and pooled analysis. Furthermore, a dose-dependent cumulative effect of these SNPs on GC survival was observed, and survival tree analysis showed higher order interactions between these SNPs. In addition, protective effect conferred by adjuvant chemotherapy (ACT) on GC was observed in patients with variant alleles (TG/GG) of rs1056560, but not in those with homozygous wild (TT) genotype. Functional assay suggested rs1056560 genotypes significantly affect CRY1 expression in cancer cells. Our study presents that SNPs in the CNFL genes may be associated with GC prognosis, and provides the guidance in selecting potential GC patients most likely responsive to ACT.
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Affiliation(s)
- Falin Qu
- Department of General Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, China.,93926 Army Hospital of PLA, Hetian 848000, China
| | - Qing Qiao
- Department of General Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, China
| | - Nan Wang
- Department of General Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, China
| | - Gang Ji
- Xijing Hospital of Digestive Disease, The Fourth Military Medical University, Xi'an, 710032 China
| | - Huadong Zhao
- Department of General Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, China
| | - Li He
- Department of Ophthalmology, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Haichao Wang
- Department of Emergency Medicine, North Shore University Hospital, Manhasset, NY 11030, USA
| | - Guoqiang Bao
- Department of General Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, China
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Valenzuela FJ, Vera J, Venegas C, Muñoz S, Oyarce S, Muñoz K, Lagunas C. Evidences of Polymorphism Associated with Circadian System and Risk of Pathologies: A Review of the Literature. Int J Endocrinol 2016; 2016:2746909. [PMID: 27313610 PMCID: PMC4893437 DOI: 10.1155/2016/2746909] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 04/14/2016] [Accepted: 04/19/2016] [Indexed: 12/15/2022] Open
Abstract
The circadian system is a supraphysiological system that modulates different biological functions such as metabolism, sleep-wake, cellular proliferation, and body temperature. Different chronodisruptors have been identified, such as shift work, feeding time, long days, and stress. The environmental changes and our modern lifestyle can alter the circadian system and increase the risk of developing pathologies such as cancer, preeclampsia, diabetes, and mood disorder. This system is organized by transcriptional/tranductional feedback loops of clock genes Clock, Bmal1, Per1-3, and Cry1-2. How molecular components of the clock are able to influence the development of diseases and their risk relation with genetic components of polymorphism of clock genes is unknown. This research describes different genetic variations in the population and how these are associated with risk of cancer, metabolic diseases such as diabetes, obesity, and dyslipidemias, and also mood disorders such as depression, bipolar disease, excessive alcohol intake, and infertility. Finally, these findings will need to be implemented and evaluated at the level of genetic interaction and how the environment factors trigger the expression of these pathologies will be examined.
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Affiliation(s)
- F. J. Valenzuela
- Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
- Group of Biotechnological Sciences, Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
- *F. J. Valenzuela:
| | - J. Vera
- Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
- Group of Biotechnological Sciences, Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
| | - C. Venegas
- Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
| | - S. Muñoz
- Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
| | - S. Oyarce
- Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
| | - K. Muñoz
- Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
| | - C. Lagunas
- Department of Basic Sciences, Universidad del Bío-Bío, Campus Fernando May, 378000 Chillán, Chile
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Shi J, Grundy A, Richardson H, Burstyn I, Schuetz JM, Lohrisch CA, SenGupta SK, Lai AS, Brooks-Wilson A, Spinelli JJ, Aronson KJ. Genetic variation in vitamin D-related genes and risk of breast cancer among women of European and East Asian descent. Tumour Biol 2015; 37:6379-87. [PMID: 26631034 DOI: 10.1007/s13277-015-4417-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 11/09/2015] [Indexed: 02/02/2023] Open
Abstract
Studies of vitamin D-related genetic variants and breast cancer have been inconsistent. This study aimed to investigate associations of vitamin D-related polymorphisms and breast cancer risk among European and East Asian women and potential interactions with menopausal status and breast tumour subtypes. Data from a case-control study of breast cancer (1037 cases and 1050 controls) were used to assess relationships between 21 polymorphisms in two vitamin D-related genes (GC and VDR) and breast cancer risk. Odds ratios were calculated in stratified analyses of European and East Asian women, using logistic regression in an additive genetic model. An interaction term was used to explore modification by menopausal status. Polytomous regression was used to assess heterogeneity by breast tumour subtype. False discovery rate adjustments were conducted to account for multiple testing. No association was observed between GC or VDR polymorphisms and breast cancer risk. Modification of these relationships by menopausal status was observed for select polymorphisms in both Europeans (VDR rs4328262 and rs11168292) and East Asians (GC rs7041 and VDR rs11168287). Heterogeneity by tumour subtype was seen for three VDR polymorphisms (rs1544410, rs7967152 and rs2239186) among Europeans, in which associations with ER-/PR-/HER2+ tumours, but not with other subtypes, were observed. In conclusion, associations between vitamin D-related genetic variants and breast cancer were not observed overall, although the relationships between vitamin D pathway polymorphisms and breast cancer may be modified by menopausal status and breast tumour subtype.
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Affiliation(s)
- Joy Shi
- Department of Public Health Sciences and Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Anne Grundy
- Alberta Cancer Prevention Legacy Fund, Alberta Health Services, Calgary, AB, Canada
| | - Harriet Richardson
- Department of Public Health Sciences and Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Igor Burstyn
- Department of Environmental and Occupational Health, Drexel University, Philadelphia, PA, USA
| | - Johanna M Schuetz
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Caroline A Lohrisch
- Department of Medical Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Sandip K SenGupta
- Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada
| | - Agnes S Lai
- Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada
| | - Angela Brooks-Wilson
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada.,Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - John J Spinelli
- Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Kristan J Aronson
- Department of Public Health Sciences and Cancer Research Institute, Queen's University, Kingston, ON, Canada. .,Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, 10 Stuart Street, Kingston, ON, K7L 3N6, Canada.
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33
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Cadenas C, van de Sandt L, Edlund K, Lohr M, Hellwig B, Marchan R, Schmidt M, Rahnenführer J, Oster H, Hengstler JG. Loss of circadian clock gene expression is associated with tumor progression in breast cancer. Cell Cycle 2015; 13:3282-91. [PMID: 25485508 PMCID: PMC4613905 DOI: 10.4161/15384101.2014.954454] [Citation(s) in RCA: 147] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Several studies suggest a link between circadian rhythm disturbances and tumorigenesis. However, the association between circadian clock genes and prognosis in breast cancer has not been systematically studied. Therefore, we examined the expression of 17 clock components in tumors from 766 node-negative breast cancer patients that were untreated in both neoadjuvant and adjuvant settings. In addition, their association with metastasis-free survival (MFS) and correlation to clinicopathological parameters were investigated. Aiming to estimate functionality of the clockwork, we studied clock gene expression relationships by correlation analysis. Higher expression of several clock genes (e.g., CLOCK, PER1, PER2, PER3, CRY2, NPAS2 and RORC) was found to be associated with longer MFS in univariate Cox regression analyses (HR<1 and FDR-adjusted P < 0.05). Stratification according to molecular subtype revealed prognostic relevance for PER1, PER3, CRY2 and NFIL3 in the ER+/HER2- subgroup, CLOCK and NPAS2 in the ER-/HER2- subtype, and ARNTL2 in HER2+ breast cancer. In the multivariate Cox model, only PER3 (HR = 0.66; P = 0.016) and RORC (HR = 0.42; P = 0.003) were found to be associated with survival outcome independent of established clinicopathological parameters. Pairwise correlations between functionally-related clock genes (e.g., PER2-PER3 and CRY2-PER3) were stronger in ER+, HER2- and low-grade carcinomas; whereas, weaker correlation coefficients were observed in ER- and HER2+ tumors, high-grade tumors and tumors that progressed to metastatic disease. In conclusion, loss of clock genes is associated with worse prognosis in breast cancer. Coordinated co-expression of clock genes, indicative of a functional circadian clock, is maintained in ER+, HER2-, low grade and non-metastasizing tumors but is compromised in more aggressive carcinomas.
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Key Words
- ARNTL/2, aryl hydrocarbon receptor nuclear translocator-like/2
- BHLHE40/41, basic helix-loop-helix family, member e
- CLOCK, circadian locomotor output cycles kaput
- CRY1/2, cryptochrome circadian clock 1/2
- DBP, D site of albumin promoter (albumin D-box) binding protein
- DFS, disease-free survival
- ER, estrogen receptor
- HER2, human epidermal growth factor receptor 2
- HR, hazard ratio
- MFS, metastasis-free survival
- NFIL3, nuclear factor, interleukin 3 regulated
- NPAS2, neuronal PAS domain protein 2
- NR1D2, nuclear receptor subfamily 1, group D, member 2
- PER1/2/3, period circadian clock 1/2/3
- RORA/B/C, RAR-related orphan receptor alpha/beta/gamma
- SCN, suprachiasmatic nucleus
- breast cancer
- circadian clock
- clock genes
- estrogen receptor
- metastasis-free survival
- tumor progression
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Affiliation(s)
- Cristina Cadenas
- a Leibniz Research Centre for Working Environment an Human Factors (ifADo) at the TU Dortmund University ; Dortmund , Germany
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Salavaty A. Carcinogenic effects of circadian disruption: an epigenetic viewpoint. CHINESE JOURNAL OF CANCER 2015; 34:375-83. [PMID: 26253128 PMCID: PMC4593354 DOI: 10.1186/s40880-015-0043-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Accepted: 06/27/2015] [Indexed: 12/22/2022]
Abstract
Circadian rhythms refer to the endogenous rhythms that are generated to synchronize physiology and behavior with 24-h environmental cues. These rhythms are regulated by both external cues and molecular clock mechanisms in almost all cells. Disruption of circadian rhythms, which is called circadian disruption, affects many biological processes within the body and results in different long-term diseases, including cancer. Circadian regulatory pathways result in rhythmic epigenetic modifications and the formation of circadian epigenomes. Aberrant epigenetic modifications, such as hypermethylation, due to circadian disruption may be involved in the transformation of normal cells into cancer cells. Several studies have indicated an epigenetic basis for the carcinogenic effects of circadian disruption. In this review, I first discuss some of the circadian genes and regulatory proteins. Then, I summarize the current evidence related to the epigenetic modifications that result in circadian disruption. In addition, I explain the carcinogenic effects of circadian disruption and highlight its potential role in different human cancers using an epigenetic viewpoint. Finally, the importance of chronotherapy in cancer treatment is highlighted.
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Affiliation(s)
- Adrian Salavaty
- Department of Genetics, Faculty of Science, Shahid Chamran University of Ahvaz, 61336-3337, Ahvaz, Iran.
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35
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Archer SN, Oster H. How sleep and wakefulness influence circadian rhythmicity: effects of insufficient and mistimed sleep on the animal and human transcriptome. J Sleep Res 2015; 24:476-93. [PMID: 26059855 DOI: 10.1111/jsr.12307] [Citation(s) in RCA: 116] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 04/04/2015] [Indexed: 12/12/2022]
Abstract
The mammalian circadian system is a multi-oscillator, hierarchically organised system where a central pacemaker synchronises behavioural, physiological and gene expression rhythms in peripheral tissues. Epidemiological studies show that disruption of this internal synchronisation by short sleep and shift work is associated with adverse health outcomes through mechanisms that remain to be elucidated. Here, we review recent animal and human studies demonstrating the profound effects of insufficient and mistimed sleep on the rhythms of gene expression in central and peripheral tissues. In mice, sleep restriction leads to an ~80% reduction in circadian transcripts in the brain and profound disruption of the liver transcriptome. In humans, sleep restriction leads to a 1.9% reduction in circadian transcripts in whole blood, and when sleep is displaced to the daytime, 97% of rhythmic genes become arrhythmic and one-third of all genes show changes in temporal expression profiles. These changes in mice and humans include a significant reduction in the circadian regulation of transcription and translation and core clock genes in the periphery, while at the same time rhythms within the suprachiasmatic nucleus are not disrupted. Although the physiological mediators of these sleep disruption effects on the transcriptome have not been established, altered food intake, changes in hormones such as cortisol, and changes in body and brain temperature may play important roles. Processes and molecular pathways associated with these disruptions include metabolism, immune function, inflammatory and stress responses, and point to the molecular mechanisms underlying the established adverse health outcomes associated with short sleep duration and shift work, such as metabolic syndrome and cancer.
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Affiliation(s)
- Simon N Archer
- Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Henrik Oster
- Chronophysiology Group, Medical Department I, University of Lübeck, Lübeck, Germany
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36
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Aronson KJ, Grundy A, Korsiak J, Spinelli JJ. Causes of breast cancer: could work at night really be a cause? BREAST CANCER MANAGEMENT 2015. [DOI: 10.2217/bmt.15.4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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37
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Taniyama Y, Yamauchi T, Takeuchi S, Kuroda Y. PER1polymorphism associated with shift work disorder. Sleep Biol Rhythms 2015. [DOI: 10.1111/sbr.12123] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Yukari Taniyama
- Department of Public Health; Faculty of Medicine; University of Miyazaki; Miyazaki Japan
| | - Takenori Yamauchi
- Department of Public Health; Faculty of Medicine; University of Miyazaki; Miyazaki Japan
| | - Shouhei Takeuchi
- Department of Public Health; Faculty of Medicine; University of Miyazaki; Miyazaki Japan
| | - Yoshiki Kuroda
- Department of Public Health; Faculty of Medicine; University of Miyazaki; Miyazaki Japan
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38
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Geng P, Ou J, Li J, Wang N, Xie G, Sa R, Liu C, Xiang L, Liang H. Genetic association between PER3 genetic polymorphisms and cancer susceptibility: a meta-analysis. Medicine (Baltimore) 2015; 94:e568. [PMID: 25837749 PMCID: PMC4554033 DOI: 10.1097/md.0000000000000568] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The genes along the circadian pathways control and modulate circadian rhythms essential for the maintenance of physiological homeostasis through self-sustained transcription-translation feedback loops. PER3 (period 3) is a circadian pathway gene and its variants (rs1012477, 4/5-repeat) have frequently been associated with human cancer. The mixed findings, however, make the role of the 2 variants in cancer susceptibility elusive. We aimed in this article to clarify the association of PER3 variants with cancer. We collected genetic data from 8 studies, providing 6149 individuals for rs1012477 and 5241 individuals for 4/5-repeat. Based on the genotype and allele frequency, we chose the fixed-effects model to estimate risk of cancer. Overall analysis did not suggest a global role of rs1012477 in cancer susceptibility. For PER3 4/5-repeat variant, we found a moderate increase in risk of cancer among individuals with the 5-allele compared to individuals with the 4-allele, although this association was not statistically significant (homozygous model: odds ratio [OR] 1.17, 95% confidence interval [CI] 0.81-1.67; recessive model: OR 1.17, 95% CI 0.82-1.67). No substantial heterogeneity was revealed in this analysis. Our meta-analysis provides no evidence supporting a global association of PER3 genetic variants with the incidence of cancer.
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Affiliation(s)
- Peiliang Geng
- From the Department of Oncology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Chongqing, China
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39
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Rabstein S, Harth V, Justenhoven C, Pesch B, Plöttner S, Heinze E, Lotz A, Baisch C, Schiffermann M, Brauch H, Hamann U, Ko Y, Brüning T. Polymorphisms in circadian genes, night work and breast cancer: results from the GENICA study. Chronobiol Int 2014; 31:1115-22. [PMID: 25229211 DOI: 10.3109/07420528.2014.957301] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVES The role of genetic variants and environmental factors in breast cancer etiology has been intensively studied in the last decades. Gene-environment interactions are now increasingly being investigated to gain more insights into the development of breast cancer, specific subtypes, and therapeutics. Recently, night shift work that involves circadian disruption has gained rising interest as a potential non-genetic breast cancer risk factor. Here, we analyzed genetic polymorphisms in genes of cellular clocks, melatonin biosynthesis and signaling and their association with breast cancer as well as gene-gene and gene-night work interactions in a German case-control study on breast cancer. METHODS GENICA is a population-based case-control study on breast cancer conducted in the Greater Region of Bonn. Associations between seven polymorphisms in circadian genes (CLOCK, NPAS2, ARTNL, PER2 and CRY2), genes of melatonin biosynthesis and signaling (AANAT and MTNR1B) and breast cancer were analyzed with conditional logistic regression models, adjusted for potential confounders for 1022 cases and 1014 controls. Detailed shift-work information was documented for 857 breast cancer cases and 892 controls. Gene-gene and gene-shiftwork interactions were analyzed using model-based multifactor dimensionality reduction (mbMDR). RESULTS For combined heterozygotes and rare homozygotes a slightly elevated breast cancer risk was found for rs8150 in gene AANAT (OR 1.17; 95% CI 1.01-1.36), and a reduced risk for rs3816358 in gene ARNTL (OR 0.82; 95% CI 0.69-0.97) in the complete study population. In the subgroup of shift workers, rare homozygotes for rs10462028 in the CLOCK gene had an elevated risk of breast cancer (OR for AA vs. GG: 3.53; 95% CI 1.09-11.42). Shift work and CLOCK gene interactions were observed in the two-way interaction analysis. In addition, gene-shiftwork interactions were detected for MTNR1B with NPAS2 and ARNTL. CONCLUSIONS In conclusion, the results of our population-based case-control study support a putative role of the CLOCK gene in the development of breast cancer in shift workers. In addition, higher order interaction analyses suggest a potential relevance of MTNR1B with the key transcriptional factor NPAS2 with ARNTL. Hence, in the context of circadian disruption, multivariable models should be preferred that consider a wide range of polymorphisms, e.g. that may influence chronotype or light sensitivity. The investigation of these interactions in larger studies is needed.
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Affiliation(s)
- Sylvia Rabstein
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA) , Bochum , Germany
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Shift work and breast cancer among women textile workers in Shanghai, China. Cancer Causes Control 2014; 26:143-50. [PMID: 25421377 DOI: 10.1007/s10552-014-0493-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Accepted: 11/05/2014] [Indexed: 01/12/2023]
Abstract
PURPOSE Although night-shift work has been associated with elevated risk of breast cancer in numerous epidemiologic studies, evidence is not consistent. We conducted a nested case-cohort study to investigate a possible association between shift work including a night shift and risk of breast cancer within a large cohort of women textile workers in Shanghai, China. METHODS The study included 1,709 incident breast cancer cases and 4,780 non-cases. Data on historical shift work schedules were collected by categorized jobs from the factories, where the study subjects had worked, and then were linked to the complete work histories of each subject. No jobs in the factories involved exclusively night-shift work. Therefore, night shift was evaluated as part of a rotating shift work pattern. Hazard ratios and 95 % confidence intervals were calculated using Cox proportional hazards modeling adapted for the case-cohort design for years of night-shift work and the total number of nights worked. Additionally, analyses were repeated with exposures lagged by 10 and 20 years. RESULTS We observed no associations with either years of night-shift work or number of nights worked during the entire employment period, irrespective of lag intervals. Findings from the age-stratified analyses were very similar to those observed for the entire study population. CONCLUSIONS The findings from this study provide no evidence to support the hypothesis that shift work increases breast cancer risk. The positive association between shift work and breast cancer observed in Western populations, but not observed in this and other studies of the Chinese population, suggests that the effect of shift work on breast cancer risk may be different in Asian and Caucasian women.
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Truong T, Liquet B, Menegaux F, Plancoulaine S, Laurent-Puig P, Mulot C, Cordina-Duverger E, Sanchez M, Arveux P, Kerbrat P, Richardson S, Guénel P. Breast cancer risk, nightwork, and circadian clock gene polymorphisms. Endocr Relat Cancer 2014; 21:629-38. [PMID: 24919398 DOI: 10.1530/erc-14-0121] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Night shift work has been associated with an increased risk of breast cancer pointing to a role of circadian disruption. We investigated the role of circadian clock gene polymorphisms and their interaction with nightwork in breast cancer risk in a population-based case-control study in France including 1126 breast cancer cases and 1174 controls. We estimated breast cancer risk associated with each of the 577 single nucleotide polymorphisms (SNPs) in 23 circadian clock genes. We also used a gene- and pathway-based approach to investigate the overall effect on breast cancer of circadian clock gene variants that might not be detected in analyses based on individual SNPs. Interactions with nightwork were tested at the SNP, gene, and pathway levels. We found that two SNPs in RORA (rs1482057 and rs12914272) were associated with breast cancer in the whole sample and among postmenopausal women. In this subpopulation, we also reported an association with rs11932595 in CLOCK, and with CLOCK, RORA, and NPAS2 in the analyses at the gene level. Breast cancer risk in postmenopausal women was also associated with overall genetic variation in the circadian gene pathway (P=0.04), but this association was not detected in premenopausal women. There was some evidence of an interaction between PER1 and nightwork in breast cancer in the whole sample (P=0.024), although the effect was not statistically significant after correcting for multiple testing (P=0.452). Our results support the hypothesis that circadian clock gene variants modulate breast cancer risk.
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Affiliation(s)
- Thérèse Truong
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, FranceInsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Benoît Liquet
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, FranceInsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Florence Menegaux
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, FranceInsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Sabine Plancoulaine
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, FranceInsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Pierre Laurent-Puig
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Claire Mulot
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Emilie Cordina-Duverger
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, FranceInsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Marie Sanchez
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, FranceInsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Patrick Arveux
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Pierre Kerbrat
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Sylvia Richardson
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
| | - Pascal Guénel
- InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, FranceInsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France
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Stevens RG, Brainard GC, Blask DE, Lockley SW, Motta ME. Breast cancer and circadian disruption from electric lighting in the modern world. CA Cancer J Clin 2014; 64:207-18. [PMID: 24604162 PMCID: PMC4038658 DOI: 10.3322/caac.21218] [Citation(s) in RCA: 180] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Breast cancer is the leading cause of cancer death among women worldwide, and there is only a limited explanation of why. Risk is highest in the most industrialized countries but also is rising rapidly in the developing world. Known risk factors account for only a portion of the incidence in the high-risk populations, and there has been considerable speculation and many false leads on other possibly major determinants of risk, such as dietary fat. A hallmark of industrialization is the increasing use of electricity to light the night, both within the home and without. It has only recently become clear that this evolutionarily new and, thereby, unnatural exposure can disrupt human circadian rhythmicity, of which three salient features are melatonin production, sleep, and the circadian clock. A convergence of research in cells, rodents, and humans suggests that the health consequences of circadian disruption may be substantial. An innovative experimental model has shown that light at night markedly increases the growth of human breast cancer xenografts in rats. In humans, the theory that light exposure at night increases breast cancer risk leads to specific predictions that are being tested epidemiologically: evidence has accumulated on risk in shift workers, risk in blind women, and the impact of sleep duration on risk. If electric light at night does explain a portion of the breast cancer burden, then there are practical interventions that can be implemented, including more selective use of light and the adoption of recent advances in lighting technology and application.
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Affiliation(s)
- Richard G Stevens
- Professor, Department of Community Medicine, University of Connecticut Health Center, Farmington, CT
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Pijpe A, Slottje P, van Pelt C, Stehmann F, Kromhout H, van Leeuwen FE, Vermeulen RCH, Rookus MA. The Nightingale study: rationale, study design and baseline characteristics of a prospective cohort study on shift work and breast cancer risk among nurses. BMC Cancer 2014; 14:47. [PMID: 24475944 PMCID: PMC3946235 DOI: 10.1186/1471-2407-14-47] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Accepted: 12/05/2013] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Evidence for the carcinogenicity of shift work in humans is limited because of significant heterogeneity of the results, thus more in-depth research in needed. The Nightingale Study is a nationwide prospective cohort study on occupational exposures and risks of chronic diseases among female nurses and focuses on the potential association between shift work and risk of breast cancer. The study design, methods, and baseline characteristics of the cohort are described. METHODS/DESIGN The source population for the cohort comprised 18 to 65 year old women who were registered as having completed training to be a nurse in the nationwide register for healthcare professionals in the Netherlands. Eligible women were invited to complete a web-based questionnaire including full job history, a detailed section on all domains of shift work (shift system, cumulative exposure, and shift intensity) and potential confounding factors, and an informed consent form for linkage with national (disease) registries. Women were also asked to donate toenail clippings as a source of DNA for genetic analyses. Between October 6, 2011 and February 1, 2012, 31% of the 192,931 women who were invited to participate completed the questionnaire, yielding a sample size of 59,947 cohort members. The mean age of the participants was 46.9 year (standard deviation 11.0 years). Toenail clippings were provided by 23,439 participants (39%). DISCUSSION Results from the Nightingale Study will contribute to the scientific evidence of potential shift work-related health risks among nurses and will help develop preventive measures and policy aimed at reducing these risks.
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Affiliation(s)
- Anouk Pijpe
- Netherlands Cancer Institute, Department of Epidemiology, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Pauline Slottje
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Jenalaan 18d, 3584 CK Utrecht, Utrecht, the Netherlands
| | - Cres van Pelt
- Netherlands Cancer Institute, Department of Epidemiology, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Floor Stehmann
- Netherlands Cancer Institute, Department of Epidemiology, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Hans Kromhout
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Jenalaan 18d, 3584 CK Utrecht, Utrecht, the Netherlands
| | - Flora E van Leeuwen
- Netherlands Cancer Institute, Department of Epidemiology, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Roel CH Vermeulen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Jenalaan 18d, 3584 CK Utrecht, Utrecht, the Netherlands
| | - Matti A Rookus
- Netherlands Cancer Institute, Department of Epidemiology, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
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Nogueira LM, Sampson JN, Chu LW, Yu K, Andriole G, Church T, Stanczyk FZ, Koshiol J, Hsing AW. Individual variations in serum melatonin levels through time: implications for epidemiologic studies. PLoS One 2013; 8:e83208. [PMID: 24376664 PMCID: PMC3871612 DOI: 10.1371/journal.pone.0083208] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2013] [Accepted: 11/11/2013] [Indexed: 12/14/2022] Open
Abstract
Melatonin, a marker for the circadian rhythm with serum levels peaking between 2AM and 5AM, is hypothesized to possess anti-cancer properties, making it a mechanistic candidate for the probable carcinogenic effect of circadian rhythm disruption. In order to weigh epidemiologic evidence on the association of melatonin with cancer, we must first understand the laboratory and biological sources of variability in melatonin levels measured in samples. Participants for this methodological study were men enrolled in the Prostate Lung Colorectal and Ovarian Cancer Screening Trial (PLCO). We measured serum melatonin levels over a five year period in 97 individuals to test if melatonin levels are steady over time. The Pearson correlation coefficient between two measures separated by 1 year was 0.87, while the correlation between two measures separated by 5 years was to 0.70. In an additional cross-sectional study of 292 individuals, we used Analysis of Variance to identify differences in melatonin levels between different lifestyle and environmental characteristics. Serum melatonin levels were slightly higher in samples collected from 130 individuals during the winter, (6.36±0.59 pg/ml) than in samples collected from 119 individuals during the summer (4.83±0.62 pg/ml). Serum melatonin levels were lowest in current smokers (3.02±1.25 pg/ml, p = 0.007) compared to never (6.66±0.66 pg/ml) and former (5.59±0.50 pg/ml) smokers whereas BMI did not significantly affect serum melatonin levels in this study. In conclusion, the high 5 year correlation of melatonin levels implies that single measurements may be used to detect population level associations between melatonin and risk of cancer. Furthermore, our results reiterate the need to record season of sample collection, and individual characteristics in order to maximize study power and prevent confounding.
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Affiliation(s)
- Leticia M. Nogueira
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- * E-mail:
| | - Joshua N. Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Lisa W. Chu
- Cancer Prevention Institute of California, Fremont, California, United States of America
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Gerald Andriole
- Division of Urological Surgery, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Timothy Church
- Department of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, Minnesota, United States of America
| | - Frank Z. Stanczyk
- Department of Obstetrics, Gynecology, and Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Jill Koshiol
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Ann W. Hsing
- Cancer Prevention Institute of California, Fremont, California, United States of America
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