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Nichols HB, House MG, Yarosh R, Mitra S, Goldberg M, Bertrand KA, Eliassen AH, Giles GG, Jones ME, Milne RL, O'Brien KM, Palmer JR, Sandin S, Willett WC, Yin W, Sandler DP, Swerdlow AJ, Schoemaker MJ. Hypertensive conditions of pregnancy, preterm birth, and premenopausal breast cancer risk: a premenopausal breast cancer collaborative group analysis. Breast Cancer Res Treat 2023; 199:323-334. [PMID: 37020102 PMCID: PMC11314296 DOI: 10.1007/s10549-023-06903-5] [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: 12/09/2022] [Accepted: 02/17/2023] [Indexed: 04/07/2023]
Abstract
PURPOSE Women with preeclampsia are more likely to deliver preterm. Reports of inverse associations between preeclampsia and breast cancer risk, and positive associations between preterm birth and breast cancer risk are difficult to reconcile. We investigated the co-occurrence of preeclampsia/gestational hypertension with preterm birth and breast cancer risk using data from the Premenopausal Breast Cancer Collaborative Group. METHODS Across 6 cohorts, 3096 premenopausal breast cancers were diagnosed among 184,866 parous women. We estimated multivariable hazard ratios (HR) and 95% confidence intervals (CI) for premenopausal breast cancer risk using Cox proportional hazards regression. RESULTS Overall, preterm birth was not associated (HR 1.02, 95% CI 0.92, 1.14), and preeclampsia was inversely associated (HR 0.86, 95% CI 0.76, 0.99), with premenopausal breast cancer risk. In stratified analyses using data from 3 cohorts, preterm birth associations with breast cancer risk were modified by hypertensive conditions in first pregnancies (P-interaction = 0.09). Preterm birth was positively associated with premenopausal breast cancer in strata of women with preeclampsia or gestational hypertension (HR 1.52, 95% CI: 1.06, 2.18), but not among women with normotensive pregnancy (HR = 1.09, 95% CI: 0.93, 1.28). When stratified by preterm birth, the inverse association with preeclampsia was more apparent, but not statistically different (P-interaction = 0.2), among women who did not deliver preterm (HR = 0.82, 95% CI 0.68, 1.00) than those who did (HR = 1.07, 95% CI 0.73, 1.56). CONCLUSION Findings support an overall inverse association of preeclampsia history with premenopausal breast cancer risk. Estimates for preterm birth and breast cancer may vary according to other conditions of pregnancy.
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Affiliation(s)
- Hazel B Nichols
- Department of Epidemiology, Hazel B. Nichols, University of North Carolina at Chapel Hill Gillings School of Global Public Health, 2104F McGavran-Greenberg Hall, 135 Dauer Drive, Chapel Hill, Chapel Hill, NC, 27599-7435, USA.
| | | | - Rina Yarosh
- Department of Epidemiology, Hazel B. Nichols, University of North Carolina at Chapel Hill Gillings School of Global Public Health, 2104F McGavran-Greenberg Hall, 135 Dauer Drive, Chapel Hill, Chapel Hill, NC, 27599-7435, USA
| | - Sara Mitra
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Mandy Goldberg
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, USA
| | | | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School, Boston, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Graham G Giles
- Cancer Epidemiology Division Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Roger L Milne
- Cancer Epidemiology Division Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, USA
| | - Julie R Palmer
- Slone Epidemiology Center, Boston University, Boston, USA
- Boston University Chobanian & Avedisian School of Medicine, Boston University, Boston, USA
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet, Solna, Sweden
- Department of Psychiatry Icahn School of Medicine at Mount Sinai, New York, USA
- Seaver Autism Center for Research and Treatment at Mount Sinai Icahn School of Medicine at Mount Sinai, New York, USA
| | - Walter C Willett
- Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School, Boston, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Weiyao Yin
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet, Solna, Sweden
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, USA
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Real World Solutions IQVIA, Amsterdam, The Netherlands
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Identification of core genes and clinical roles in pregnancy-associated breast cancer based on integrated analysis of different microarray profile datasets. Biosci Rep 2019; 39:BSR20190019. [PMID: 31171715 PMCID: PMC6591572 DOI: 10.1042/bsr20190019] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 05/06/2019] [Accepted: 05/31/2019] [Indexed: 12/18/2022] Open
Abstract
More women are delaying child-birth. Thus, the diagnosis of pregnancy-associated breast cancer (PABC) will continue to increase. The aim of this study was to identify core candidate genes of PABC, and the relevance of the genes on the prognosis of PABC. GSE31192 and GSE53031 microarray profile datasets were downloaded from the Gene Expression Omnibus database and differentially expressed genes were analyzed using the R package and GEO2R tool. Then, Gene Ontology and Kyoto Encyclopedia of Gene and Genome pathway enrichment analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery. Moreover, the Search Tool for the Retrieval of Interacting Genes and the Molecular Complex Detection Cytoscape software plug-in were utilized to visualize protein–protein interactions and to screen candidate genes. A total of 239 DEGs were identified in PABC, including 101 up-regulated genes mainly enriched in fatty acid activation and the fibroblast growth factor signaling pathway, while 138 down-regulated genes particularly involved in activation of DNA fragmentation factor and apoptosis-induced DNA fragmentation. Fourteen hub genes with a high degree of connectivity were selected, including CREB1, ARF3, UBA5, SIAH1, KLHL3, HECTD1, MMP9, TRIM69, MEX3C, ASB6, UBE2Q2, FBXO22, EIF4A3, and PXN. Overall survival (OS) analysis of core candidate genes was performed using the Gene Expression Profiling Interactive Analysis and UALCAN websites. High ASB6 expression was associated with worse OS of PABC patients. Molecular subtypes and menopause status were also associated with worse OS for PABC patients. In conclusion, ASB6 could be a potential predictor and therapeutic target in patient with PABC.
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Husby A, Wohlfahrt J, Øyen N, Melbye M. Pregnancy duration and breast cancer risk. Nat Commun 2018; 9:4255. [PMID: 30353005 PMCID: PMC6199327 DOI: 10.1038/s41467-018-06748-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/20/2018] [Indexed: 12/29/2022] Open
Abstract
Full-term pregnancies reduce a woman’s long-term breast cancer risk, while abortions have been shown to have no effect. The precise minimal duration of pregnancy necessary to lower a woman’s breast cancer risk is, however, unknown. Here we provide evidence which point to the protective effect of pregnancy on breast cancer risk arising precisely at the 34th pregnancy week. Using a cohort of 2.3 million Danish women, we found the reduction in breast cancer risk was not observed for pregnancies lasting 33 weeks or less, but restricted to those pregnancies lasting 34 weeks or longer. We further found that parity, socioeconomic status, and vital status of the child at birth did not explain the association, and also replicated our finding in data from 1.6 million women in Norway. We suggest that a distinct biological effect introduced around week 34 of pregnancy holds the key to understand pregnancy-associated breast cancer protection. It is known that full-term pregnancies can reduce a woman’s breast cancer risk. Here, the authors interrogate data from 2.3 million Danish women, showing that this protective effect arises at precisely the 34th week of the pregnancy, and replicated this finding in 1.6 million women from Norway.
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Affiliation(s)
- Anders Husby
- Department of Epidemiology Research, Statens Serum Institut, DK-2300, Copenhagen, Denmark.,Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Jan Wohlfahrt
- Department of Epidemiology Research, Statens Serum Institut, DK-2300, Copenhagen, Denmark
| | - Nina Øyen
- Department of Epidemiology Research, Statens Serum Institut, DK-2300, Copenhagen, Denmark.,Department of Global Public Health and Primary Care, Faculty of Medicine, University of Bergen, N-5020, Bergen, Norway.,Department of Medical Genetics, Haukeland University Hospital, N-5021, Bergen, Norway
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, DK-2300, Copenhagen, Denmark. .,Department of Clinical Medicine, University of Copenhagen, DK-2100, Copenhagen, Denmark. .,Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
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