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Zhang M, Qiao J, Zeng P, Liu Z. Investigating the Relationship between Birthweight and Breast Cancer from A Non-Linear and Mediation Perspective. IRANIAN JOURNAL OF PUBLIC HEALTH 2024; 53:187-197. [PMID: 38694859 PMCID: PMC11058374 DOI: 10.18502/ijph.v53i1.14695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/24/2023] [Indexed: 05/04/2024]
Abstract
Background Epidemiological studies have shown a positive relationship between birthweight and breast cancer; however, inconsistent, sometimes even controversial, observations emerged. We re-explored the association between them in the UK Biobank cohort. Methods Relying on the UK Biobank cohort data of white British volunteers recruited between 2006 and 2010 (5,760 cases and 162,778 controls), we evaluated the causal mediation between birthweight and breast cancer, with age of menarche and age at menopause as two potential mediators under the traditional mediation analysis framework. The non-linear relationship between birthweight and breast cancer was also investigated by including the square of birthweight or discretized birthweight categories (<2.5, 2.5~4.0, or >4.0). Furthermore, we performed a stratification analysis in terms of the menopause status. Results Birthweight can indirectly influence breast cancer risk in adulthood via the path of age of menarche or age at menopause, and found statistical evidence supporting the existence of suggestive non-linear association between birthweight and breast cancer (β=0.062 and P=0.004 for the square of birthweight) although failing to discover a linear relationship (P=0.230). We also demonstrated such non-linear association seemed more pronounced and robust for premenopausal women compared with postmenopausal ones (27.5% vs. 19.5% increase in breast cancer risk). Conclusion This study provided an in-depth insight into the observed relationship between birthweight and breast cancer and revealed that non-linear impact and causal mediation commonly drive the connection between the two traits.
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Affiliation(s)
- Meng Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Jiahao Qiao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Zhuanzhuan Liu
- Department of Pathogen Biology and Immunology, Jiangsu Key Laboratory of Immunity and Metabolism, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
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Qian N, Yang Q, Chen L, Jin S, Qiao J, Cai R, Wu C, Yu H, Gu K, Wang C. Association between excessive fetal growth and maternal cancer in Shanghai, China: a large, population-based cohort study. Sci Rep 2023; 13:7784. [PMID: 37179417 PMCID: PMC10183036 DOI: 10.1038/s41598-023-33664-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 04/17/2023] [Indexed: 05/15/2023] Open
Abstract
The prevalence of high birth weight or large for gestational age (LGA) infants is increasing, with increasing evidence of pregnancy-related factors that may have long-term impacts on the health of the mother and baby. We aimed to determine the association between excessive fetal growth, specifically LGA and macrosomia, and subsequent maternal cancer by performing a prospective population-based cohort study. The data set was based on the Shanghai Birth Registry and Shanghai Cancer Registry, with medical records from the Shanghai Health Information Network as a supplement. Macrosomia and LGA prevalence was higher in women who developed cancer than in women who did not. Having an LGA child in the first delivery was associated with a subsequently increased risk of maternal cancer (hazard ratio [HR] = 1.08, 95% confidence interval [CI] 1.04-1.11). Additionally, in the last and heaviest deliveries, there were similar associations between LGA births and maternal cancer rates (HR = 1.08, 95% CI 1.04-1.12; HR = 1.08, 95% CI 1.05-1.12, respectively). Furthermore, a substantially increased trend in the risk of maternal cancer was associated with birth weights exceeding 2500 g. Our study supports the association between LGA births and increased risks of maternal cancer, but this risk requires further investigation.
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Affiliation(s)
- Naisi Qian
- Department of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China
| | - Qing Yang
- Department of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China
| | - Lei Chen
- Department of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China
| | - Shan Jin
- Department of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China
| | - Jiaying Qiao
- Department of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China
| | - Renzhi Cai
- Department of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China
| | - Chunxiao Wu
- Department of Oncology, Institute of Chronic Disease Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China
| | - Huiting Yu
- Department of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
| | - Kai Gu
- Department of Oncology, Institute of Chronic Disease Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
| | - Chunfang Wang
- Department of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
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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 DOI: 10.1007/s10549-023-06903-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [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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Zhang M, Qiao J, Zhang S, Zeng P. Exploring the association between birthweight and breast cancer using summary statistics from a perspective of genetic correlation, mediation, and causality. J Transl Med 2022; 20:227. [PMID: 35568861 PMCID: PMC9107660 DOI: 10.1186/s12967-022-03435-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 04/04/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Previous studies demonstrated a positive relationship between birthweight and breast cancer; however, inconsistent, sometimes even controversial, observations also emerged, and the nature of such relationship remains unknown. METHODS Using summary statistics of birthweight and breast cancer, we assessed the fetal/maternal-specific genetic correlation between them via LDSC and prioritized fetal/maternal-specific pleiotropic genes through MAIUP. Relying on summary statistics we conducted Mendelian randomization (MR) to evaluate the fetal/maternal-specific origin of causal relationship between birthweight, age of menarche, age at menopause and breast cancer. RESULTS With summary statistics we identified a positive genetic correlation between fetal-specific birthweight and breast cancer (rg = 0.123 and P = 0.013) as well as a negative but insignificant correlation between maternal-specific birthweight and breast cancer (rg = - 0.068, P = 0.206); and detected 84 pleiotropic genes shared by fetal-specific birthweight and breast cancer, 49 shared by maternal-specific birthweight and breast cancer. We also revealed fetal-specific birthweight indirectly influenced breast cancer risk in adulthood via the path of age of menarche or age at menopause in terms of MR-based mediation analysis. CONCLUSION This study reveals that shared genetic foundation and causal mediation commonly drive the connection between the two traits, and that fetal/maternal-specific birthweight plays substantially distinct roles in such relationship. However, our work offers little supportive evidence for the fetal origins hypothesis of breast cancer originating in utero.
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Affiliation(s)
- Meng Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Jiahao Qiao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Shuo Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China. .,Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China. .,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China. .,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
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Wang K, Ge M, Liu L, Lv H, Wang S, Jia F, Sun J. Birth weight and the risk of overall breast cancer, premenopausal and postmenopausal breast cancer in adulthood: a dose-response meta-analysis of observational studies. Menopause 2021; 29:114-124. [PMID: 34905748 DOI: 10.1097/gme.0000000000001885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
IMPORTANCE The effect of birth weight on breast cancer across different menopausal states remains unknown. OBJECTIVE The aim of this study was to systematically evaluate the association of birth weight with the risk of overall breast cancer (OBC) and premenopausal and postmenopausal breast cancer during adulthood. In parallel, the dose-response analyses were performed. EVIDENCE REVIEW Relevant studies were systematically searched from the PubMed, Embase, and the Cochrane Library databases from the inception to May 25, 2021, without language restrictions. All the results were pooled according to risk ratios (RRs). FINDINGS In total, 21 cohort studies comprising 1,139,032 participants were included. An increase in the birth weight was not associated with the risk of OBC and premenopausal and postmenopausal breast cancer. Compared with women having normal weight at birth, those with a high birth weight are likely to have an increased risk of invasive breast cancer (RR: 1.19, 95% confidence intervals: 1.03-1.38; I2: 28.6%). The dose-response analyses showed that the risk of premenopausal breast cancer increased significantly in unknown singleton status with birth weight over 2850 g (RR: 1.14 [1.02-1.30]). Similarly, postmenopausal breast cancer risk was increased in singleton births with birth weight over 3750 g (RR: 1.21 [1.00-1.47]). CONCLUSIONS AND RELEVANCE High weight at birth might be not significantly associated with the risk of OBC, premenopausal and postmenopausal breast cancer and ER+ and ER- breast cancer but is positively associated with the risk of invasive breast cancer, regardless of parity. Furthermore, with an increase in birth weight, the risk of postmenopausal breast cancer is likely to increase in the singleton births, whereas the risk of premenopausal breast cancer is likely to increase in unknown singleton status.
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Affiliation(s)
- Kang Wang
- Department of Oncology, Zaozhuang Municipal Hospital, Zaozhuang, China
| | - Mingxiu Ge
- Department of Obstetrics, Zaozhuang Municipal Hospital, Zaozhuang, China
| | - Lulu Liu
- Department of Obstetrics, Maternity and Child Health Care of Zaozhuang, Zaozhuang, China
| | - Haihong Lv
- Department of Obstetrics, Maternity and Child Health Care of Zaozhuang, Zaozhuang, China
| | - Shujuan Wang
- Department of Surgery, Maternity and Child Health Care of Zaozhuang, Zaozhuang, China
| | - Fei Jia
- Department of Internal Medicine, Maternity and Child Health Care of Zaozhuang, Zaozhuang, China
| | - Jinjun Sun
- Department of Oncology, Zaozhuang Municipal Hospital, Zaozhuang, China
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Hromadnikova I, Kotlabova K, Krofta L. A History of Preterm Delivery Is Associated with Aberrant Postpartal MicroRNA Expression Profiles in Mothers with an Absence of Other Pregnancy-Related Complications. Int J Mol Sci 2021; 22:ijms22084033. [PMID: 33919834 PMCID: PMC8070839 DOI: 10.3390/ijms22084033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/12/2021] [Accepted: 04/12/2021] [Indexed: 12/21/2022] Open
Abstract
This prospective cross-sectional case-control study investigated the postpartal gene expression of microRNAs associated with diabetes/cardiovascular/cerebrovascular diseases in the peripheral white blood cells of women with anamnesis of preterm prelabor rupture of membranes (n = 58), spontaneous preterm birth (n = 55), and term delivery (n = 89) by a quantitative reverse transcription polymerase chain reaction. After pregnancies complicated by preterm prelabor rupture of membranes or spontaneous preterm birth, mothers showed diverse expression profiles for 25 out of 29 tested microRNAs (miR-1-3p, miR-16-5p, miR-17-5p, miR-20a-5p, miR-20b-5p, miR-21-5p, miR-23a-3p, miR-24-3p, miR-26a-5p, miR-29a-3p, miR-100-5p, miR-103a-3p, miR-125b-5p, miR-126-3p, miR-130b-3p, miR-133a-3p, miR-143-3p, miR-145-5p, miR-146a-5p, miR-181a-5p, miR-195-5p, miR-199a-5p, miR-221-3p, miR-499a-5p, and miR-574-3p). The earliest gestational ages at delivery and the lowest birth weights of newborns were associated with the highest postpartal levels of the previously mentioned microRNAs in maternal peripheral white blood cells. Administration of tocolytic drugs in order to prolong pregnancy, used in order to administer and complete a full course of antenatal corticosteroids, was associated with alterations in postpartal microRNA expression profiles to a lesser extent than in women with imminent delivery, where there was insufficient time for administration of tocolytics and antenatal corticosteroids. Overall, mothers who did not receive tocolytic therapy (miR-24-3p and miR-146a-5p) and mothers who did not receive corticosteroid therapy (miR-1-3p, miR-100-5p, and miR-143-3p) had increased or showed a trend toward increased postpartal microRNA expression when compared with mothers given tocolytic and corticosteroid therapy. In addition, mothers with serum C-reactive protein levels above 20 mg/L, who experienced preterm labour, showed a trend toward increased postpartal expression profiles of miR-143-3p and miR-199a-5p when compared with mothers with normal serum C-reactive protein levels. On the other hand, the occurrence of maternal leukocytosis, the presence of intra-amniotic inflammation (higher levels of interleukin 6 in the amniotic fluid), and the administration of antibiotics at the time of preterm delivery had no impact on postpartal microRNA expression profiles in mothers with a history of preterm delivery. Likewise, the condition of the newborns at the moment of birth, determined by Apgar scores at 5 and 10 min and the pH of cord arterial blood, had no influence on the postpartal expression profiles of mothers with a history of preterm delivery. These findings may contribute to explaining the increased cardiovascular risk in mothers with anamnesis of preterm delivery, and the greater increase of maternal cardiovascular risk with the decrease of gestational age at delivery. Women with preterm delivery in their anamnesis represent a high-risk group with special needs on a long-term basis, with a need to apply preventive and therapeutic interventions as early as possible.
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Affiliation(s)
- Ilona Hromadnikova
- Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 10000 Prague, Czech Republic;
- Correspondence: ; Tel.: +420-296511336
| | - Katerina Kotlabova
- Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 10000 Prague, Czech Republic;
| | - Ladislav Krofta
- Institute for the Care of the Mother and Child, Third Faculty of Medicine, Charles University, 14700 Prague, Czech Republic;
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