1
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Hurson AN, Ahearn TU, Koka H, Jenkins BD, Harris AR, Roberts S, Fan S, Franklin J, Butera G, Keeman R, Jung AY, Middha P, Gierach GL, Yang XR, Chang-Claude J, Tamimi RM, Troester MA, Bandera EV, Abubakar M, Schmidt MK, Garcia-Closas M. Risk factors for breast cancer subtypes by race and ethnicity: A scoping review of the literature. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.18.24304210. [PMID: 39108508 PMCID: PMC11302715 DOI: 10.1101/2024.03.18.24304210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/10/2024]
Abstract
Background Breast cancer is comprised of distinct molecular subtypes. Studies have reported differences in risk factor associations with breast cancer subtypes, especially by tumor estrogen receptor (ER) status, but their consistency across racial and ethnic populations has not been comprehensively evaluated. Methods We conducted a qualitative, scoping literature review using the Preferred Reporting Items for Systematic Reviews and Meta-analysis, extension for Scoping Reviews to investigate consistencies in associations between 18 breast cancer risk factors (reproductive, anthropometric, lifestyle, and medical history) and risk of ER-defined subtypes in women who self-identify as Asian, Black or African American, Hispanic or Latina, or White. We reviewed publications between January 1, 1990 and July 1, 2022. Etiologic heterogeneity evidence (convincing, suggestive, none, or inconclusive) was determined by expert consensus. Results Publications per risk factor ranged from 14 (benign breast disease history) to 66 (parity). Publications were most abundant for White women, followed by Asian, Black or African American, and Hispanic or Latina women. Etiologic heterogeneity evidence was strongest for parity, followed by age at first birth, post-menopausal BMI, oral contraceptive use, and estrogen-only and combined menopausal hormone therapy. Evidence was limited for other risk factors. Findings were consistent across racial and ethnic groups, although the strength of evidence varied. Conclusion The literature supports etiologic heterogeneity by ER for some established risk factors that are consistent across race and ethnicity groups. However, in non-White populations evidence is limited. Larger, more comparable data in diverse populations is needed to better characterize breast cancer etiologic heterogeneity.
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Affiliation(s)
- Amber N Hurson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Hela Koka
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Brittany D Jenkins
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Alexandra R Harris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Sylvia Roberts
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Sharon Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jamirra Franklin
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Gisela Butera
- National Institutes of Health Library, Office of Research Services, National Institutes of Health, Bethesda, MD, USA
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Audrey Y Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pooja Middha
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Elisa V Bandera
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
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Dujon AM, Jeanjean J, Vincze O, Giraudeau M, Lemaître J, Pujol P, Ujvari B, Thomas F. Cancer hygiene hypothesis: A test from wild captive mammals. Ecol Evol 2023; 13:e10547. [PMID: 37745791 PMCID: PMC10515881 DOI: 10.1002/ece3.10547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/31/2023] [Accepted: 09/04/2023] [Indexed: 09/26/2023] Open
Abstract
The hygiene hypothesis, according to which the recent reduction of exposure to infectious agents in the human species would be the origin of various diseases, including autoimmune diseases and cancer, has often been proposed but not properly tested on animals. Here, we evaluated the relevance of this hypothesis to cancer risk in mammals in an original way, namely by using information on zoo mammals. We predicted that a higher richness of parasitic cohorts in the species' natural habitat would result in a greater occurrence of evolutionary mismatch due to the reduction of parasites in captive conditions. This, in turn, could contribute to an increased risk of developing lethal cancers. Using a comparative analysis of 112 mammalian species, we explored the potential relationship between cancer risk and parasite species richness using generalized phylogenetic least squares regressions to relate parasite species richness to cancer risk data. We found no strong evidence that parasite species richness increased cancer risk in zoo mammals for any of the parasite groups we tested. Without constituting definitive proof of the irrelevance of the hygienic hypothesis, our comparative study using zoo mammals does not support it, at least with respect to cancer risks.
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Affiliation(s)
- Antoine M. Dujon
- Geelong, School of Life and Environmental Sciences, Centre for Integrative EcologyDeakin UniversityWaurn PondsVictoriaAustralia
- CREEC/CANECEV (CREES), MIVEGEC, IRD 224–CNRS 5290–Université de MontpellierMontpellierFrance
| | - Jérémy Jeanjean
- CREEC/CANECEV (CREES), MIVEGEC, IRD 224–CNRS 5290–Université de MontpellierMontpellierFrance
| | - Orsolya Vincze
- Institute of Aquatic Ecology, Centre for Ecological ResearchDebrecenHungary
- Evolutionary Ecology Group, Hungarian Department of Biology and EcologyBabes‐Bolyai UniversityCluj‐NapocaRomania
- Littoral, Environnement et Sociétés (LIENSs), UMR 7266 CNRS‐La Rochelle UniversitéLa RochelleFrance
| | - Mathieu Giraudeau
- Littoral, Environnement et Sociétés (LIENSs), UMR 7266 CNRS‐La Rochelle UniversitéLa RochelleFrance
| | - Jean‐François Lemaître
- CNRS, UMR 5558, Laboratoire de Biométrie et Biologie EvolutiveUniversité de LyonVilleurbanneFrance
- Laboratory of Rare Human Circulating Cells (LCCRH)University Hospital of MontpellierMontpellierFrance
| | - Pascal Pujol
- CREEC/CANECEV (CREES), MIVEGEC, IRD 224–CNRS 5290–Université de MontpellierMontpellierFrance
- Centre Hospitalier Universitaire Arnaud de VilleneuveMontpellierFrance
| | - Beata Ujvari
- Geelong, School of Life and Environmental Sciences, Centre for Integrative EcologyDeakin UniversityWaurn PondsVictoriaAustralia
- CREEC/CANECEV (CREES), MIVEGEC, IRD 224–CNRS 5290–Université de MontpellierMontpellierFrance
| | - Frédéric Thomas
- CREEC/CANECEV (CREES), MIVEGEC, IRD 224–CNRS 5290–Université de MontpellierMontpellierFrance
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3
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Boucheron P, Anele A, Offiah AU, Zietsman A, Galukande M, Parham G, Pinder LF, Anderson BO, Foerster M, Schüz J, dos-Santos-Silva I, McCormack V. Reproductive history and breast cancer survival: Findings from the African breast cancer-Disparities in outcomes cohort and implications of Africa's fertility transition on breast cancer prognosis. Int J Cancer 2023; 152:1804-1816. [PMID: 36545890 PMCID: PMC10070810 DOI: 10.1002/ijc.34411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 12/01/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022]
Abstract
Reproductive characteristics are known risk factors for breast cancer but, other than recent birth, their role as prognostic factors is less clear, and has not been studied in Sub-Saharan Africa (SSA). In this setting, we examined whether reproductive factors independently influence breast cancer survival in a subset of the African Breast Cancer-Disparities in Outcomes cohort study. In 1485 women with incident breast cancer recruited between 2014 and 2017, we examined birth cohort changes in reproductive factors, and used Cox models to examine whether reproductive characteristics were associated with all-cause mortality after adjusting for confounders (age, stage, treatment, HIV, and social factors). Four years after diagnosis, 822 (56%) women had died. Median parity was 4 (IQR = 2, 6) and 209 (28%) of premenopausal women had had a recent birth (<3 years prior to cancer diagnosis). Each pregnancy was associated with a 5% increase (95% CI: 2%, 8%) in mortality rates, which held among postmenopausal women (5%, [1%-9%]). Pre-menopausal women with a recent birth had 52% (20%, 92%) higher mortality rates. Fertility trends by birth cohort showed declining parity, increasing age at first birth and declining age at last birth, however the impact of these population-level changes on future average survival was predicted to be very small (<3% absolute gain).
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Affiliation(s)
- Pauline Boucheron
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | | | - Awa U. Offiah
- Abia State University Teaching Hospital, Aba, Nigeria
| | - Annelle Zietsman
- AB May Cancer Centre, Windhoek Central Hospital, Windhoek, Namibia
| | - Moses Galukande
- College of Health Sciences, Makerere University, Kampala, Uganda
| | - Groesbeck Parham
- Department of Obstetrics and Gynaecology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | | | - Benjamin O. Anderson
- University of Washington, Seattle, Washington
- World Health Organization, Geneva, Switzerland
| | - Milena Foerster
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Joachim Schüz
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Isabel dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM)
| | - Valerie McCormack
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
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4
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Bieuville M, Faugère D, Galibert V, Henard M, Dujon AM, Ujvari B, Pujol P, Roche B, Thomas F. Number of lifetime menses increases breast cancer occurrence in postmenopausal women at high familial risk. Front Ecol Evol 2023. [DOI: 10.3389/fevo.2023.912083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
It is increasingly thought that part of human susceptibility to cancer is the result of evolutionary mismatches: our ancestors evolved cancer suppression mechanisms in a world largely different from our modern environments. In that context, it has been shown in cohorts from general Western populations that reproductive traits modulate breast cancer risk. Overall, the more menses women experience, the more at risk they are to develop postmenopausal breast cancer. This points towards an evolutionary mismatch but brings the question whether the reproductive pattern also modulates the breast cancer risk in menopausal women at high familial risk. We thus studied the influence of menses on breast cancer risk in a case–control study of 90 postmenopausal women (including BRCA1/2 and non BRCA1/2) nested within a cohort at high familial risk. We tested the association of the lifetime number of menses and the number of menses before first full-term pregnancy with postmenopausal breast cancer risk using Cox survival models. We showed that the total lifetime number of menses was significantly associated with postmenopausal breast cancer risk and associated with a quicker onset of breast cancer after menopause. Those results align with similar studies lead in general cohorts and suggest that the reproductive pattern modulates the familial risk of developing breast cancer after menopause. Altogether, those results impact how we envision breast cancer prevention and call for more research on how ecological and genetic factors shape breast cancer risk.
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5
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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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6
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Zhai T, Diergaarde B, Wilson DO, Kang H, Sood A, Bayliss SH, Yuan JM, Picchi MA, Lan Q, Belinsky SA, Siegfried JM, Cook LS, Leng S. Early natural menopause is associated with poor lung health and increased mortality among female smokers. Am J Obstet Gynecol 2022; 227:885.e1-885.e12. [PMID: 35934119 PMCID: PMC9729368 DOI: 10.1016/j.ajog.2022.07.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 06/06/2022] [Accepted: 07/14/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Early natural menopause has been regarded as a biomarker of reproductive and somatic aging. Cigarette smoking is the most harmful factor for lung health and also an established risk factor for early menopause. Understanding the effect of early menopause on health outcomes in middle-aged and older female smokers is important to develop preventive strategies. OBJECTIVE This study aimed to examine the associations of early menopause with multiple lung health and aging biomarkers, lung cancer risk, and all-cause and cause-specific mortality in postmenopausal women who were moderate or heavy smokers. STUDY DESIGN This study was conducted on postmenopausal women with natural (n=1038) or surgical (n=628) menopause from the Pittsburgh Lung Screening Study. The Pittsburgh Lung Screening Study is a community-based research cohort of current and former smokers, screened with low-dose computed tomography and followed up for lung cancer. Early menopause was defined as occurring before 45 years of age. The analyses were stratified by menopause types because of the different biological and medical causes of natural and surgical menopause. Statistical methods included linear model, generalized linear model, linear mixed-effects model, and time-to-event analysis. RESULTS The average age of the 1666 female smokers was 59.4±6.7 years, with 1519 (91.2%) of the population as non-Hispanic Whites and 1064 (63.9%) of the population as current smokers at baseline. Overall, 646 (39%) women reported early menopause, including 198 (19.1%) women with natural menopause and 448 (71.3%) women with surgical menopause (P<.001). Demographic variables did not differ between early and nonearly menopause groups, regardless of menopause type. Significant associations were identified between early natural menopause and higher risk of wheezing (odds ratio, 1.65; P<.01), chronic bronchitis (odds ratio, 1.73; P<.01), and radiographic emphysema (odds ratio, 1.70; P<.001) and lower baseline lung spirometry in an obstructive pattern (-104.8 mL/s for forced expiratory volume in the first second with P<.01, -78.6 mL for forced vital capacity with P=.04, and -2.1% for forced expiratory volume in the first second-to-forced vital capacity ratio with P=.01). In addition, early natural menopause was associated with a more rapid decline of forced expiratory volume in the first second-to-forced vital capacity ratio (-0.16% per year; P=.01) and incident airway obstruction (odds ratio, 2.02; P=.04). Furthermore, women early natural menopause had a 40% increased risk of death (P=.023), which was mainly driven by respiratory diseases (hazard ratio, 2.32; P<.001). Mediation analyses further identified that more than 33.3% of the magnitude of the associations between early natural menopause and all-cause and respiratory mortality were explained by baseline forced expiratory volume in the first second. Additional analyses in women with natural menopause identified that the associations between continuous smoking and subsequent lung cancer risk and cancer mortality were moderated by early menopause status, and females with early natural menopause who continued smoking had the worst outcomes (hazard ratio, >4.6; P<.001). This study did not find associations reported above in female smokers with surgical menopause. CONCLUSION Early natural menopause was found to be a risk factor for malignant and nonmalignant lung diseases and mortality in middle-aged and older female smokers. These findings have strong public health relevance as preventive strategies, including smoking cessation and chest computed tomography screening, should target this population (ie, female smokers with early natural menopause) to improve their postmenopausal health and well-being.
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Affiliation(s)
- Ting Zhai
- Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA; University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, PA
| | - David O Wilson
- University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, PA; Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Huining Kang
- Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM; Cancer Control and Population Sciences, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM
| | - Akshay Sood
- Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM
| | - Samuel H Bayliss
- Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM
| | - Jian-Min Yuan
- University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, PA; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Maria A Picchi
- Lung Cancer Program, Lovelace Biomedical Research Institute, Albuquerque, NM
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Steven A Belinsky
- Cancer Control and Population Sciences, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM; Lung Cancer Program, Lovelace Biomedical Research Institute, Albuquerque, NM
| | - Jill M Siegfried
- Department of Pharmacology, University of Minnesota, Minneapolis, MN; Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA
| | - Linda S Cook
- Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz, Arora, CO
| | - Shuguang Leng
- Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM; Cancer Control and Population Sciences, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM; Lung Cancer Program, Lovelace Biomedical Research Institute, Albuquerque, NM.
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7
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Boddy AM, Rupp S, Yu Z, Hanson H, Aktipis A, Smith K. Early life adversity, reproductive history and breast cancer risk. Evol Med Public Health 2022; 10:429-438. [PMID: 36101671 PMCID: PMC9464099 DOI: 10.1093/emph/eoac034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 08/12/2022] [Indexed: 11/25/2022] Open
Abstract
Background and objectives Individuals who experience early life adversity are at an increased risk for chronic disease later in life. Less is known about how early life factors are associated with cancer susceptibility. Here, we use a life history framework to test whether early life adversity increases the risk of breast cancer. We predict that early life adversity can shift investment in somatic maintenance and accelerate the timing of reproduction, which may mediate or interact with the risk of breast cancer. Methodology We use population-wide data from the Utah Population Database (UPDB) and Utah Cancer Registry, leading to 24 957 cases of women diagnosed with breast cancer spanning 20 years (1990-2010) and 124 785 age-matched controls. We generated a cumulative early life adversity summation score to evaluate the interaction (moderation) and mediation between early life adversity, reproductive history and their association with breast cancer risk. Results Our analyses led to three key findings: (i) more early life adversity, when considered as a main effect, accelerates the time to first birth and death, (ii) early age at first birth and high parity decreases the risk of breast cancer and (iii) we find no association between early adversity and breast cancer risk either as a main effect or in its interaction with reproductive history. Conclusion and implications Early adversity elevates the risk of overall mortality through mechanisms other than breast cancer risk. This suggests early life factors can generate different effects on health. Future work should incorporate more complex view of life history patterns, including multiple life stages, when making predictions about cancer susceptibility.
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Affiliation(s)
- Amy M Boddy
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Shawn Rupp
- Biodesign Center for Biocomputing, Security, and Society, Arizona State University, Tempe, AZ, USA
| | - Zhe Yu
- Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Heidi Hanson
- Department of Surgery, University of Utah, Salt Lake City, UT, USA
- Department of Sociology, University of Utah, Salt Lake City, UT, USA
| | - Athena Aktipis
- Department of Psychology & Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Ken Smith
- Department of Family and Consumer Studies and Population Science/Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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8
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Potievskii MB, Shegai PV, Kaprin AD. Prospects for the Application of Methods of Evolutionary Biology in Oncology. J EVOL BIOCHEM PHYS+ 2022. [DOI: 10.1134/s0022093022020028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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9
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Dujon AM, Boutry J, Tissot S, Lemaître JF, Boddy AM, Gérard AL, Alvergne A, Arnal A, Vincze O, Nicolas D, Giraudeau M, Telonis-Scott M, Schultz A, Pujol P, Biro PA, Beckmann C, Hamede R, Roche B, Ujvari B, Thomas F. Cancer Susceptibility as a Cost of Reproduction and Contributor to Life History Evolution. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.861103] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Reproduction is one of the most energetically demanding life-history stages. As a result, breeding individuals often experience trade-offs, where energy is diverted away from maintenance (cell repair, immune function) toward reproduction. While it is increasingly acknowledged that oncogenic processes are omnipresent, evolving and opportunistic entities in the bodies of metazoans, the associations among reproductive activities, energy expenditure, and the dynamics of malignant cells have rarely been studied. Here, we review the diverse ways in which age-specific reproductive performance (e.g., reproductive aging patterns) and cancer risks throughout the life course may be linked via trade-offs or other mechanisms, as well as discuss situations where trade-offs may not exist. We argue that the interactions between host–oncogenic processes should play a significant role in life-history theory, and suggest some avenues for future research.
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10
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Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA. TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer Epidemiol Biomarkers Prev 2022; 31:124-131. [PMID: 34737209 PMCID: PMC8755611 DOI: 10.1158/1055-9965.epi-21-0661] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/25/2021] [Accepted: 10/26/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND TP53 and estrogen receptor (ER) both play essential roles in breast cancer development and progression, with recent research revealing cross-talk between TP53 and ER signaling pathways. Although many studies have demonstrated heterogeneity of risk factor associations across ER subtypes, associations by TP53 status have been inconsistent. METHODS This case-case analysis included incident breast cancer cases (47% Black) from the Carolina Breast Cancer Study (1993-2013). Formalin-fixed paraffin-embedded tumor samples were classified for TP53 functional status (mutant-like/wild-type-like) using a validated RNA signature. For IHC-based TP53 status, mutant-like was classified as at least 10% positivity. We used two-stage polytomous logistic regression to evaluate risk factor heterogeneity due to RNA-based TP53 and/or ER, adjusting for each other and for PR, HER2, and grade. We then compared this with the results when using IHC-based TP53 classification. RESULTS The RNA-based classifier identified 55% of tumors as TP53 wild-type-like and 45% as mutant-like. Several hormone-related factors (oral contraceptive use, menopausal status, age at menopause, and pre- and postmenopausal body mass index) were associated with TP53 mutant-like status, whereas reproductive factors (age at first birth and parity) and smoking were associated with ER status. Multiparity was associated with both TP53 and ER. When classifying TP53 status using IHC methods, no associations were observed with TP53. Associations observed with RNA-based TP53 remained after accounting for basal-like subtype. CONCLUSIONS This case-case study found breast cancer risk factors associated with RNA-based TP53 and ER. IMPACT RNA-based TP53 and ER represent an emerging etiologic schema of interest in breast cancer prevention research.
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Affiliation(s)
- Amber N Hurson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, North Carolina
| | - Kathleen Conway
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Michael I Love
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Andrew F Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Charles M Perou
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
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11
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Houghton SC, Hankinson SE. Cancer Progress and Priorities: Breast Cancer. Cancer Epidemiol Biomarkers Prev 2021; 30:822-844. [PMID: 33947744 PMCID: PMC8104131 DOI: 10.1158/1055-9965.epi-20-1193] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/13/2020] [Accepted: 02/19/2021] [Indexed: 12/24/2022] Open
Affiliation(s)
- Serena C Houghton
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts.
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts
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12
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Liu M, Xie F, Liu M, Zhang Y, Wang S. Association between BRCA mutational status and survival in patients with breast cancer: a systematic review and meta-analysis. Breast Cancer Res Treat 2021; 186:591-605. [PMID: 33559780 DOI: 10.1007/s10549-021-06104-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 01/16/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Studies evaluating role of BRCA mutations on the survival outcomes in breast cancer (BC) patients have given confounding results and hence, in this meta-analysis, we assessed the impact of BRCA mutations on survival in BC patients. METHODS Studies comparing survival outcomes of BC patients having BRCA mutations against wildtype BRCA phenotype were retrieved from PubMed, EMBASE, and Cochrane Library. Overall survival (OS), disease-free survival (DFS), distant metastasis-free survival (DMFS), and breast cancer-specific survival (BCCS) were the outcomes. Hazard ratio (HR) with 95% confidence interval (CI) was used for analysis. Subgroup analysis was performed for survival based on triple negative breast cancer (TNBC) and follow-up durations. The meta-analysis was performed as per PRISMA guidelines. RESULTS Altogether, 30 articles with 35,972 patients (mean age 45.6 years) were included. Patients with BRCA 1 mutation had significantly lower OS (HR [95% CI] 1.2 [1.08, 1.33]; P < 0.001), BRCA 2 mutation had significantly lower DFS (HR [95% CI] 1.35 [1.1, 1.67]; P = 0.0049) and BCSS (HR [95%CI] 1.46 [1.26, 1.7]; P < 0.0001), and TNBC patients with BRCA 1 mutation had significantly poor DFS (HR [95% CI] 1.65 [1.08, 2.54]; P = 0.0216). Based on follow-up duration, the OS in BRCA 1-mutated patients revealed significantly poorer outcomes in studies with ≤ 5 years (HR 1.48) and > 5 years (HR 1.14) of follow-up. In BRCA 2 -mutated patients, the OS was significantly poorer in studies with > 5 years of follow-up (HR 1.39, P < 0.05). CONCLUSION BC patients with BRCA 1 or BRCA 2 mutations had poor survival outcomes and hence screening patients with BC for BRCA mutations might help in strategizing their treatment and improving their survival.
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Affiliation(s)
- Miao Liu
- Breast Center, Peking University, People's Hospital, Beijing, China
| | - Fei Xie
- Breast Center, Peking University, People's Hospital, Beijing, China
| | - Miaoyu Liu
- Breast Center, Peking University, People's Hospital, Beijing, China
| | - Yi Zhang
- Breast Center, Peking University, People's Hospital, Beijing, China
| | - Shu Wang
- Breast Center, Peking University, People's Hospital, Beijing, China.
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13
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Fraser A, Johnman C, Whitley E, Alvergne A. The evolutionary ecology of age at natural menopause: implications for public health. EVOLUTIONARY HUMAN SCIENCES 2020; 2:e57. [PMID: 34796315 PMCID: PMC7612003 DOI: 10.1017/ehs.2020.59] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Evolutionary perspectives on menopause have focused on explaining why early reproductive cessation in females has emerged and why it is rare throughout the animal kingdom, but less attention has been given to exploring patterns of diversity in age at natural menopause. In this paper, we aim to generate new hypotheses for understanding human patterns of diversity in this trait, defined as age at final menstrual period. To do so, we develop a multilevel, interdisciplinary framework, combining proximate, physiological understandings of ovarian ageing with ultimate, evolutionary perspectives on ageing. We begin by reviewing known patterns of diversity in age at natural menopause in humans, and highlight issues in how menopause is currently defined and measured. Second, we consider together ultimate explanations of menopause timing and proximate understandings of ovarian ageing. We find that ovarian ageing is highly constrained by ageing of the follicle - the somatic structure containing the oocyte - suggesting that menopause timing might be best understood as a by-product of ageing rather than a facultative adaptation. Third, we investigate whether the determinants of somatic senescence also underpin menopause timing. We show that diversity in age at menopause can be, at least partly, explained by the genetic, ecological and life-history determinants of somatic ageing. The public health implications of rethinking menopause as the by-product rather than the catalyst of biological ageing are discussed.
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Affiliation(s)
- Abigail Fraser
- Institute of Health and Wellbeing, University of Glasgow, UK
- School of Anthropology and Museum Ethnography, University of Oxford, UK
| | - Cathy Johnman
- Institute of Health and Wellbeing, University of Glasgow, UK
| | - Elise Whitley
- Institute of Health and Wellbeing, University of Glasgow, UK
| | - Alexandra Alvergne
- School of Anthropology and Museum Ethnography, University of Oxford, UK
- ISEM, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France
- Harris Manchester College, University of Oxford, UK
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14
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Boddy AM, Harrison TM, Abegglen LM. Comparative Oncology: New Insights into an Ancient Disease. iScience 2020; 23:101373. [PMID: 32738614 PMCID: PMC7394918 DOI: 10.1016/j.isci.2020.101373] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/30/2020] [Accepted: 07/14/2020] [Indexed: 02/06/2023] Open
Abstract
Cancer has deep evolutionary roots and is an important source of selective pressure in organismal evolution. Yet, we find a great deal of variation in cancer vulnerabilities across the tree of life. Comparative oncology offers insights into why some species vary in their susceptibility to cancer and the mechanisms responsible for the diversity of cancer defenses. Here we provide an overview for why cancer persists across the tree of life. We then summarize current data on cancer in mammals, reptiles, and birds in comparison with commonly reported human cancers. We report on both novel and shared mechanisms of cancer protection in animals. Cross-discipline collaborations, including zoological and aquarium institutions, wildlife and evolutionary biologists, veterinarians, medical doctors, cancer biologists, and oncologists, will be essential for progress in the field of comparative oncology. Improving medical treatment of humans and animals with cancer is the ultimate promise of comparative oncology.
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Affiliation(s)
- Amy M Boddy
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA.
| | - Tara M Harrison
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Lisa M Abegglen
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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15
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Hiatt RA, Engmann NJ, Balke K, Rehkopf DH. A Complex Systems Model of Breast Cancer Etiology: The Paradigm II Conceptual Model. Cancer Epidemiol Biomarkers Prev 2020; 29:1720-1730. [PMID: 32641370 DOI: 10.1158/1055-9965.epi-20-0016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 03/09/2020] [Accepted: 06/04/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The etiology of breast cancer is a complex system of interacting factors from multiple domains. New knowledge about breast cancer etiology continues to be produced by the research community, and the communication of this knowledge to other researchers, practitioners, decision makers, and the public is a challenge. METHODS We updated the previously published Paradigm model (PMID: 25017248) to create a framework that describes breast cancer etiology in four overlapping domains of biologic, behavioral, environmental, and social determinants. This new Paradigm II conceptual model was part of a larger modeling effort that included input from multiple experts in fields from genetics to sociology, taking a team and transdisciplinary approach to the common problem of describing breast cancer etiology for the population of California women in 2010. Recent literature was reviewed with an emphasis on systematic reviews when available and larger epidemiologic studies when they were not. Environmental chemicals with strong animal data on etiology were also included. RESULTS The resulting model illustrates factors with their strength of association and the quality of the available data. The published evidence supporting each relationship is made available herein, and also in an online dynamic model that allows for manipulation of individual factors leading to breast cancer (https://cbcrp.org/causes/). CONCLUSIONS The Paradigm II model illustrates known etiologic factors in breast cancer, as well as gaps in knowledge and areas where better quality data are needed. IMPACT The Paradigm II model can be a stimulus for further research and for better understanding of breast cancer etiology.
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Affiliation(s)
- Robert A Hiatt
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California. .,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | | | - Kaya Balke
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
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Thomas F, Giraudeau M, Renaud F, Ujvari B, Roche B, Pujol P, Raymond M, Lemaitre JF, Alvergne A. Can postfertile life stages evolve as an anticancer mechanism? PLoS Biol 2019; 17:e3000565. [PMID: 31805037 PMCID: PMC6917346 DOI: 10.1371/journal.pbio.3000565] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 12/17/2019] [Indexed: 12/14/2022] Open
Abstract
Why a postfertile stage has evolved in females of some species has puzzled evolutionary biologists for over 50 years. We propose that existing adaptive explanations have underestimated in their formulation an important parameter operating both at the specific and the individual levels: the balance between cancer risks and cancer defenses. During their life, most multicellular organisms naturally accumulate oncogenic processes in their body. In parallel, reproduction, notably the pregnancy process in mammals, exacerbates the progression of existing tumors in females. When, for various ecological or evolutionary reasons, anticancer defenses are too weak, given cancer risk, older females could not pursue their reproduction without triggering fatal metastatic cancers, nor even maintain a normal reproductive physiology if the latter also promotes the growth of existing oncogenic processes, e.g., hormone-dependent malignancies. At least until stronger anticancer defenses are selected for in these species, females could achieve higher inclusive fitness by ceasing their reproduction and/or going through menopause (assuming that these traits are easier to select than anticancer defenses), thereby limiting the risk of premature death due to metastatic cancers. Because relatively few species experience such an evolutionary mismatch between anticancer defenses and cancer risks, the evolution of prolonged life after reproduction could also be a rare, potentially transient, anticancer adaptation in the animal kingdom.
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Affiliation(s)
- Frédéric Thomas
- Centre de Recherches Ecologiques et Evolutives sur le Cancer/Centre de Recherches en Ecologie et Evolution de la Santé, Unité Mixte de Recherches, Institut de Recherches pour le Développement 224-Centre National de la Recherche Scientifique 5290-Université de Montpellier, Montpellier, France
| | - Mathieu Giraudeau
- Centre de Recherches Ecologiques et Evolutives sur le Cancer/Centre de Recherches en Ecologie et Evolution de la Santé, Unité Mixte de Recherches, Institut de Recherches pour le Développement 224-Centre National de la Recherche Scientifique 5290-Université de Montpellier, Montpellier, France
| | - François Renaud
- Centre de Recherches Ecologiques et Evolutives sur le Cancer/Centre de Recherches en Ecologie et Evolution de la Santé, Unité Mixte de Recherches, Institut de Recherches pour le Développement 224-Centre National de la Recherche Scientifique 5290-Université de Montpellier, Montpellier, France
| | - Beata Ujvari
- Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Waurn Ponds, Victoria, Australia
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - Benjamin Roche
- Centre de Recherches Ecologiques et Evolutives sur le Cancer/Centre de Recherches en Ecologie et Evolution de la Santé, Unité Mixte de Recherches, Institut de Recherches pour le Développement 224-Centre National de la Recherche Scientifique 5290-Université de Montpellier, Montpellier, France
- Unité mixte internationale de Modélisation Mathématique et Informatique des Systèmes Complexes, Unité Mixte de Recherches, Institut de Recherches pour le développement/Sorbonne Université, France
- Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, México
| | - Pascal Pujol
- Centre de Recherches Ecologiques et Evolutives sur le Cancer/Centre de Recherches en Ecologie et Evolution de la Santé, Unité Mixte de Recherches, Institut de Recherches pour le Développement 224-Centre National de la Recherche Scientifique 5290-Université de Montpellier, Montpellier, France
- CHU Arnaud de Villeneuve, Montpellier, France
| | - Michel Raymond
- ISEM, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France
| | - Jean-François Lemaitre
- Centre National de la Recherche Scientifique, Unité mixte de recherche 5558, Laboratoire de Biométrie et Biologie Evolutive, Université Lyon 1 Villeurbanne, France
| | - Alexandra Alvergne
- ISEM, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France
- Institute of Social and Cultural Anthropology, School of Anthropology and Museum Ethnography, University of Oxford, United Kingdom
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Brandts L, van Poppel FWA, van den Brandt PA. Female reproductive factors and the likelihood of reaching the age of 90 years. The Netherlands Cohort Study. Maturitas 2019; 125:70-80. [PMID: 31133221 DOI: 10.1016/j.maturitas.2019.04.213] [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] [Received: 11/27/2018] [Revised: 04/05/2019] [Accepted: 04/10/2019] [Indexed: 11/27/2022]
Abstract
OBJECTIVES The aim of this study was to prospectively assess the relationship between several reproductive factors in women and the likelihood of reaching the age of 90 years (achieving longevity). STUDY DESIGN For this study, data from the oldest birth cohort (1916-17) of the prospective Netherlands Cohort Study (NLCS) were used. These participants filled in a baseline questionnaire in 1986 (at age 68-70 years). Follow-up for vital status information until the age of 90 years (2006-07) was >99.9% complete. MAIN OUTCOME MEASURES Multivariable-adjusted Cox regression analyses with a fixed follow-up time were based on 2,697 women with complete exposure and co-variable data to calculate risk ratios (RR) of reaching age 90. RESULTS No associations were observed between the likelihood of reaching the age of 90 years, and age at menarche, age at menopause, parity, menstrual lifespan, and oral contraceptive use after adjustment for potential confounders. A later age at first childbirth pointed towards a higher chance of achieving longevity (age ≥30 vs. 20-24; RR,1.17; 95%CI,0.98-1.39). Ever-use of hormone replacement therapy (HRT) was significantly associated with a higher chance of achieving longevity compared with never HRT-users, but only in women who had had an early menopause (<50 years)(RR,1.32; 95% CI, 1.07-1.61). CONCLUSION Age at first childbirth, and ever-use of HRT in women with an early menopause (<50 years) were associated with the likelihood of reaching the age of 90 years.
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Affiliation(s)
- Lloyd Brandts
- Maastricht University Medical Centre, GROW- School for Oncology and Developmental Biology, Department of Epidemiology, Maastricht, the Netherlands.
| | - Frans W A van Poppel
- Netherlands Interdisciplinary Demographic Institute (NIDI)/ Royal Netherlands Academy of Arts and Sciences (KNAW), The Hague, the Netherlands
| | - Piet A van den Brandt
- Maastricht University Medical Centre, GROW- School for Oncology and Developmental Biology, Department of Epidemiology, Maastricht, the Netherlands; Maastricht University Medical Centre, CAPHRI- School for Public Health and Primary Care, Department of Epidemiology, Maastricht, the Netherlands
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18
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Determination and analysis of agonist and antagonist potential of naturally occurring flavonoids for estrogen receptor (ERα) by various parameters and molecular modelling approach. Sci Rep 2019; 9:7450. [PMID: 31092862 PMCID: PMC6520524 DOI: 10.1038/s41598-019-43768-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 04/17/2019] [Indexed: 12/29/2022] Open
Abstract
Most estrogen receptor α (ERα) ligands target the ligand binding domain (LBD). Agonist 17β-estradiol (E2) and tamoxifen (TM, known SERM), bind to the same site within the LBD. However, structures of ligand-bound complexes show that E2 and TM induce different conformations of helix 12 (H12). During the molecular modelling studies of some naturally occurring flavonoids such as quercetin, luteolin, myricetin, kaempferol, naringin, hesperidin, galangin, baicalein and epicatechin with human ERα (3ERT and 1GWR), we observed that most of the ligands bound to the active site pocket of both 3ERT and 1GWR. The docking scores, interaction analyses, and conformation of H12 provided the data to support for the estrogenic or antiestrogenic potential of these flavonoids to a limited degree. Explicit molecular dynamics for 50 ns was performed to identify the stability and compatibility pattern of protein-ligand complex and RMSD were obtained. Baicalein, epicatechin, and kaempferol with 1GWR complex showed similar RMSD trend with minor deviations in the protein backbone RMSD against 1GWR-E2 complex that provided clear indications that ligands were stable throughout the explicit molecular simulations in the protein and outcome of naringin-3ERT complex had an upward trend but stable throughout the simulations and all molecular dynamics showed stability with less than overall 1 Å deviation throughout the simulations. To examine their estrogenic or antiestrogenic potential, we studied the effect of the flavonoids on viability, progesterone receptor expression and 3xERE/3XERRE-driven reporter gene expression in ERα positive and estrogen responsive MCF-7 breast cancer cells. Epicatechin, myricetin, and kaempferol showed estrogenic potential at 5 µM concentration.
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19
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Sangaramoorthy M, Hines LM, Torres-Mejía G, Phipps AI, Baumgartner KB, Wu AH, Koo J, Ingles SA, Slattery ML, John EM. A Pooled Analysis of Breastfeeding and Breast Cancer Risk by Hormone Receptor Status in Parous Hispanic Women. Epidemiology 2019; 30:449-457. [PMID: 30964816 PMCID: PMC6472273 DOI: 10.1097/ede.0000000000000981] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Data on breastfeeding and breast cancer risk are sparse and inconsistent for Hispanic women. METHODS Pooling data for nearly 6,000 parous Hispanic women from four population-based studies conducted between 1995 and 2007 in the United States and Mexico, we examined the association of breastfeeding with risk of breast cancer overall and subtypes defined by estrogen receptor (ER) and progesterone receptor (PR) status, and the joint effects of breastfeeding, parity, and age at first birth. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression. RESULTS Among parous Hispanic women, older age at first birth was associated with increased breast cancer risk, whereas parity was associated with reduced risk. These associations were found for hormone receptor positive (HR+) breast cancer only and limited to premenopausal women. Age at first birth and parity were not associated with risk of ER- and PR- breast cancer. Increasing duration of breastfeeding was associated with decreasing breast cancer risk (≥25 vs. 0 months: OR = 0.73; 95% CI = 0.60, 0.89; Ptrend = 0.03), with no heterogeneity by menopausal status or subtype. At each parity level, breastfeeding further reduced HR+ breast cancer risk. Additionally, breastfeeding attenuated the increase in risk of HR+ breast cancer associated with older age at first birth. CONCLUSIONS Our findings suggest that breastfeeding is associated with reduced risk of both HR+ and ER- and PR- breast cancer among Hispanic women, as reported for other populations, and may attenuate the increased risk in women with a first pregnancy at older ages.
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Affiliation(s)
| | - Lisa M. Hines
- Department of Biology, University of Colorado at Colorado Springs, Colorado Springs, CO 80918
| | - Gabriela Torres-Mejía
- Instituto Nacional de Salud Puública, Population Health Research Center, Cuernavaca Morelos,
Mexico
| | - Amanda I. Phipps
- Department of Epidemiology, University of Washington, Seattle, WA 98195
- Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
98109
| | - Kathy B. Baumgartner
- Department of Epidemiology and Population Health, School of Public Health & Information Sciences, James
Graham Brown Cancer Center, University of Louisville, Louisville, KY 40202
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine of USC, Norris Comprehensive Cancer Center,
University of Southern California, Los Angeles, CA 90089
| | - Jocelyn Koo
- Cancer Prevention Institute of California, Fremont, CA 94538
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94304
| | - Sue A. Ingles
- Department of Preventive Medicine, Keck School of Medicine of USC, Norris Comprehensive Cancer Center,
University of Southern California, Los Angeles, CA 90089
| | | | - Esther M. John
- Cancer Prevention Institute of California, Fremont, CA 94538
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94304
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA
94304
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20
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Temkin SM, Mallen A, Bellavance E, Rubinsak L, Wenham RM. The role of menopausal hormone therapy in women with or at risk of ovarian and breast cancers: Misconceptions and current directions. Cancer 2018; 125:499-514. [PMID: 30570740 DOI: 10.1002/cncr.31911] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 11/01/2018] [Accepted: 11/05/2018] [Indexed: 12/17/2022]
Abstract
For women who are candidates for menopausal hormone therapy (MHT), estrogen can provide relief from symptomatic menopause, decrease rates of chronic illnesses, and improve health-related quality of life. However, confusion surrounds the evidence regarding the impact of exogenous estrogen and progesterone on the breast and ovary. Available data regarding the risks of MHT (estrogen and/or progestin) related to the development of breast and ovarian cancer are often inconsistent or incomplete. Modern molecular and genetic techniques have improved our understanding of the heterogeneity of breast and ovarian cancer. This enhanced understanding of the disease has impacted our understanding of carcinogenesis. Treatment options have evolved to be more targeted toward hormonal therapy for certain subtypes of disease, whereas cytotoxic chemotherapy remains the standard for other histological and molecular subtypes. The role of MHT in the breast and ovarian cancer survivor, as well as women who are at high risk for the development of hereditary breast and ovarian cancer, remains controversial despite evidence that this treatment can improve quality of life and survival outcomes. Through this article, we examine the evidence for and against the use of MHT with a focus on women who have or are at high risk for breast and ovarian cancer.
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Affiliation(s)
- Sarah M Temkin
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University, Richmond, Virginia
| | - Adrianne Mallen
- Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Emily Bellavance
- Department of Surgery, Division of General and Oncologic Surgery, University of Maryland, Baltimore, Maryland
| | - Lisa Rubinsak
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University, Richmond, Virginia
| | - Robert M Wenham
- Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, Florida
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21
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Bado I, Gugala Z, Fuqua SAW, Zhang XHF. Estrogen receptors in breast and bone: from virtue of remodeling to vileness of metastasis. Oncogene 2017; 36:4527-4537. [PMID: 28368409 PMCID: PMC5552443 DOI: 10.1038/onc.2017.94] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Revised: 02/28/2017] [Accepted: 02/28/2017] [Indexed: 12/11/2022]
Abstract
Bone metastasis is a prominent cause of morbidity and mortality in cancer. High rates of bone colonization in breast cancer, especially in the subtype expressing estrogen receptors (ERs), suggest tissue-specific proclivities for metastatic tumor formation. The mechanisms behind this subtype-specific organ-tropism remains largely elusive. Interestingly, as the major driver of ER+ breast cancer, ERs also have important roles in bone development and homeostasis. Thus, any agents targeting ER will also inevitably affect the microenvironment, which involves the osteoblasts and osteoclasts. Yet, how such microenvironmental effects are integrated with direct therapeutic responses of cancer cells remain poorly understood. Recent findings on ER mutations, especially their enrichment in bone metastasis, raised even more provocative questions on the role of ER in cancer-bone interaction. In this review, we evaluate the importance of ERs in bone metastasis and discuss new avenues of investigation for bone metastasis treatment based on current knowledge.
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Affiliation(s)
- Igor Bado
- Lester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
- Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
| | - Zbigniew Gugala
- Department of Orthopaedic Surgery and Rehabilitation, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555
| | - Suzanne A. W. Fuqua
- Lester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
- Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
| | - Xiang H.-F. Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
- Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
- McNair Medical Institute, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030
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22
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Jasienska G, Bribiescas RG, Furberg AS, Helle S, Núñez-de la Mora A. Human reproduction and health: an evolutionary perspective. Lancet 2017; 390:510-520. [PMID: 28792413 DOI: 10.1016/s0140-6736(17)30573-1] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Revised: 08/30/2016] [Accepted: 12/20/2016] [Indexed: 01/05/2023]
Abstract
According to life history theory, increased investment in reproductive function (physiology and behaviour) at different times throughout the life course affects the risk of many diseases and, ultimately, longevity. Although genetic factors contribute to interindividual and interpopulation variation in reproductive traits, the dominant source of variability is phenotypic plasticity during development and adult life. Reproductive traits in both sexes evolved sensitivity to ecological conditions, as reflected in contemporary associations of hormone concentrations with geographical setting, nutritional status, and physical activity level. Lifetime exposure to increased concentrations of sex hormones is associated with the risk of some cancers, hence decreasing fertility patterns contribute to secular increases in their incidence. Conversely, increased investment in reproductive function might compromise somatic investment in health, such that faster sexual maturation and higher parity increases risk of diabetes and cardiovascular disease. An evolutionary perspective on reproductive biology could improve the efficacy of public health efforts to reduce the risk of hormone-sensitive cancers and other non-communicable diseases.
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Affiliation(s)
- Grazyna Jasienska
- Department of Environmental Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland.
| | | | - Anne-Sofie Furberg
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, Tromsø, Norway; Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway
| | - Samuli Helle
- Section of Ecology, Department of Biology, University of Turku, Finland
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23
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Jacqueline C, Biro PA, Beckmann C, Moller AP, Renaud F, Sorci G, Tasiemski A, Ujvari B, Thomas F. Cancer: A disease at the crossroads of trade-offs. Evol Appl 2017; 10:215-225. [PMID: 28250806 PMCID: PMC5322410 DOI: 10.1111/eva.12444] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 11/01/2016] [Indexed: 12/14/2022] Open
Abstract
Central to evolutionary theory is the idea that living organisms face phenotypic and/or genetic trade-offs when allocating resources to competing life-history demands, such as growth, survival, and reproduction. These trade-offs are increasingly considered to be crucial to further our understanding of cancer. First, evidences suggest that neoplastic cells, as any living entities subject to natural selection, are governed by trade-offs such as between survival and proliferation. Second, selection might also have shaped trade-offs at the organismal level, especially regarding protective mechanisms against cancer. Cancer can also emerge as a consequence of additional trade-offs in organisms (e.g., eco-immunological trade-offs). Here, we review the wide range of trade-offs that occur at different scales and their relevance for understanding cancer dynamics. We also discuss how acknowledging these phenomena, in light of human evolutionary history, may suggest new guidelines for preventive and therapeutic strategies.
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Affiliation(s)
- Camille Jacqueline
- CREECMontpellier Cedex 5France
- MIVEGECUMR IRD/CNRS/UM 5290Montpellier Cedex 5France
| | - Peter A. Biro
- Centre for Integrative EcologySchool of Life and Environmental SciencesDeakin UniversityWaurn PondsVICAustralia
| | - Christa Beckmann
- Centre for Integrative EcologySchool of Life and Environmental SciencesDeakin UniversityWaurn PondsVICAustralia
| | - Anders Pape Moller
- Ecologie Systématique EvolutionUniversité Paris‐SudCNRSAgroParisTechUniversité Paris‐Saclay, F‐91405 Orsay CedexFrance
| | - François Renaud
- CREECMontpellier Cedex 5France
- MIVEGECUMR IRD/CNRS/UM 5290Montpellier Cedex 5France
| | - Gabriele Sorci
- BiogéoSciencesCNRS UMR 6282Université de BourgogneDijonFrance
| | - Aurélie Tasiemski
- Unité d'EvolutionEcologie et Paléontologie (EEP) Université de Lille 1 CNRS UMR 8198groupe d'Ecoimmunologie des AnnélidesVilleneuve‐d'AscqFrance
| | - Beata Ujvari
- Centre for Integrative EcologySchool of Life and Environmental SciencesDeakin UniversityWaurn PondsVICAustralia
| | - Frédéric Thomas
- CREECMontpellier Cedex 5France
- MIVEGECUMR IRD/CNRS/UM 5290Montpellier Cedex 5France
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24
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Hochberg ME, Noble RJ. A framework for how environment contributes to cancer risk. Ecol Lett 2017; 20:117-134. [DOI: 10.1111/ele.12726] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Revised: 10/03/2016] [Accepted: 12/01/2016] [Indexed: 12/22/2022]
Affiliation(s)
- Michael E. Hochberg
- Intstitut des Sciences de l'Evolution de Montpellier; Université de Montpellier; Place E. Bataillon, CC065 34095 Montpellier Cedex 5 France
- Santa Fe Institute; 1399 Hyde Park Rd. Santa Fe NM 87501 USA
| | - Robert J. Noble
- Intstitut des Sciences de l'Evolution de Montpellier; Université de Montpellier; Place E. Bataillon, CC065 34095 Montpellier Cedex 5 France
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25
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Boddy AM, Kokko H, Breden F, Wilkinson GS, Aktipis CA. Cancer susceptibility and reproductive trade-offs: a model of the evolution of cancer defences. Philos Trans R Soc Lond B Biol Sci 2016; 370:rstb.2014.0220. [PMID: 26056364 PMCID: PMC4581025 DOI: 10.1098/rstb.2014.0220] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The factors influencing cancer susceptibility and why it varies across species are major open questions in the field of cancer biology. One underexplored source of variation in cancer susceptibility may arise from trade-offs between reproductive competitiveness (e.g. sexually selected traits, earlier reproduction and higher fertility) and cancer defence. We build a model that contrasts the probabilistic onset of cancer with other, extrinsic causes of mortality and use it to predict that intense reproductive competition will lower cancer defences and increase cancer incidence. We explore the trade-off between cancer defences and intraspecific competition across different extrinsic mortality conditions and different levels of trade-off intensity, and find the largest effect of competition on cancer in species where low extrinsic mortality combines with strong trade-offs. In such species, selection to delay cancer and selection to outcompete conspecifics are both strong, and the latter conflicts with the former. We discuss evidence for the assumed trade-off between reproductive competitiveness and cancer susceptibility. Sexually selected traits such as ornaments or large body size require high levels of cell proliferation and appear to be associated with greater cancer susceptibility. Similar associations exist for female traits such as continuous egg-laying in domestic hens and earlier reproductive maturity. Trade-offs between reproduction and cancer defences may be instantiated by a variety of mechanisms, including higher levels of growth factors and hormones, less efficient cell-cycle control and less DNA repair, or simply a larger number of cell divisions (relevant when reproductive success requires large body size or rapid reproductive cycles). These mechanisms can affect intra- and interspecific variation in cancer susceptibility arising from rapid cell proliferation during reproductive maturation, intrasexual competition and reproduction.
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Affiliation(s)
- Amy M Boddy
- Department of Psychology, Arizona State University, Tempe, AZ, USA Center for Evolution and Cancer, University of California San Francisco, San Francisco, CA, USA Wissenschaftskolleg zu Berlin, Institute for Advanced Study, 14193 Berlin, Germany
| | - Hanna Kokko
- Wissenschaftskolleg zu Berlin, Institute for Advanced Study, 14193 Berlin, Germany Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Felix Breden
- Wissenschaftskolleg zu Berlin, Institute for Advanced Study, 14193 Berlin, Germany Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6
| | - Gerald S Wilkinson
- Wissenschaftskolleg zu Berlin, Institute for Advanced Study, 14193 Berlin, Germany Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - C Athena Aktipis
- Department of Psychology, Arizona State University, Tempe, AZ, USA Center for Evolution and Cancer, University of California San Francisco, San Francisco, CA, USA Wissenschaftskolleg zu Berlin, Institute for Advanced Study, 14193 Berlin, Germany
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26
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Hidaka BH, Boddy AM. Is estrogen receptor negative breast cancer risk associated with a fast life history strategy? EVOLUTION MEDICINE AND PUBLIC HEALTH 2016; 2016:17-20. [PMID: 26781544 PMCID: PMC4716563 DOI: 10.1093/emph/eov034] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 09/03/2015] [Indexed: 01/04/2023]
Affiliation(s)
- Brandon H Hidaka
- Department of Dietetics and Nutrition, University of Kansas Medical Center, Kansas City, KS 66205, USA,
| | - Amy M Boddy
- Department of Psychology, Arizona State University, Tempe, AZ 85287, USA and Center for Evolution and Cancer, University of California San Francisco, San Francisco, CA USA
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27
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Akinyemiju TF, Pisu M, Waterbor JW, Altekruse SF. Socioeconomic status and incidence of breast cancer by hormone receptor subtype. SPRINGERPLUS 2015; 4:508. [PMID: 26405628 PMCID: PMC4573746 DOI: 10.1186/s40064-015-1282-2] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 08/27/2015] [Indexed: 11/10/2022]
Abstract
Recent developments in genetics and molecular biology have classified breast cancer into subtypes based on tumor markers of estrogen (ER), progesterone (PR) and human epidermal growth Factor-2 receptors (Her-2), with the basal-like (ER-, PR-, Her2-) subtype commonly referred to as "triple negative" breast cancer (TNBC) being the most aggressive. Prior studies have provided evidence that higher socio-economic status (SES) is associated with increased breast cancer risk, likely due to hormone related risk factors such as parity and hormonal contraceptive use. However, it is unclear if the relationship between SES and overall breast cancer incidence exists within each subtype, and if this association varies by race/ethnicity. Analysis was based on data obtained from the SEER database linked to 2008-2012 American Community Survey data, and restricted to women diagnosed with breast cancer in 2010. The NCI SES census tract SES index based on measures of income, poverty, unemployment, occupational class, education and house value, was examined and categorized into quintiles. Age-adjusted incidence rate ratios were calculated comparing the lowest to the highest SES groups by subtype, separately for each race/ethnic group. We identified 47,586 women with breast cancer diagnosed in 2010. The majority was diagnosed with Her2-/HR+ tumors (73 %), while 12 % had triple negative tumors (TNBC). There was a significant trend of higher incidence with increasing SES for Her2-/HR+ (IRR Highest vs. Lowest SES: 1.32, 95 % CI 1.27-1.39; p value trend: 0.01) and Her2+/HR+ tumors (IRR Highest vs. Lowest SES: 1.46, 95 % CI 1.27-1.68; p value trend: 0.01) among White cases. There was no association between SES and incidence of HR- subtypes (Her2+/HR- or TNBC). Similar associations were observed among Black, Hispanic and Asian or Pacific Islander cases. The positive association between SES and breast cancer incidence is primarily driven by hormone receptor positive tumors. To the extent that neighborhood SES is a proxy for individual SES, future studies are still needed to identify etiologic risk factors for other breast cancer subtypes.
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Affiliation(s)
- Tomi F Akinyemiju
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL USA ; Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL USA
| | - Maria Pisu
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL USA ; Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL USA
| | - John W Waterbor
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL USA ; Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL USA
| | - Sean F Altekruse
- Cancer Statistics Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD USA
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