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Wei W, Wei S, Huang Z, Zhang Q, Liu F, Xie Y, Wei J, Mo C, Zhou Y, Qin S, Zou Q, Yang J. The relationship between women's body mass index and breast cancer outcomes was U-shaped. Front Oncol 2023; 13:1191093. [PMID: 37305586 PMCID: PMC10248463 DOI: 10.3389/fonc.2023.1191093] [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: 03/23/2023] [Accepted: 05/09/2023] [Indexed: 06/13/2023] Open
Abstract
Background Several studies have analyzed the relationship between body mass index (BMI) and the prognosis of breast cancer (BC). However, whether their relationship is linear or curvilinear remains unclear. This cohort study examined the specific relationship between BMI and BC outcomes. Methods This retrospective cohort study included 1049 BC patients from March 7, 2013 through December 31, 2019 in a hospital. Kaplan-Meier curves, multivariate Cox proportional models, and restricted cubic spline (RCS) was used to analysis the relationship between BMI and overall survival (OS) and breast cancer-specific survival (BCSS) was analyzed. Results During a median of 4.87 (IQR:3.26-6.84) years of follow-up period, 71 patients (6.77%) died, of which 50 (70.42%) were attributed to BC. RCS analysis revealed a U- shaped relationship between BMI levels and OS and BCSS after adjusting for other variables. The turning points of the U-shaped curves were 23 kg/m2. On the left side of the turning point, the risk of OS (HR, 0.83; 95% CI, 0.70, 0.98) and BCSS (HR, 0.80; 95% CI, 0.65, 0.98) were adversely correlated with BMI. In contrast, to the right of the turning point, the risk of OS (HR, 1.22; 95% CI, 1.10, 1.37) and BCSS (HR, 1.28; 95% CI, 1.13, 1.46) was positively related to BMI. Kaplan-Meier curves and multivariate Cox regression analyses shown consistent results with RCS analyses. Conclusion BMI was an independent prognostic factor for BC, and had a U-shaped relationship with OS and BCSS. Interventions should be designed to improve patient outcomes based on BMI.
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Affiliation(s)
- Wensong Wei
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Suosu Wei
- Department of Scientific Cooperation of Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Zhen Huang
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Qiuhuan Zhang
- Department of Colorectal and Anal Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Fei Liu
- Research Center of Medical Sciences, The People’s Hospital of Guangxi Zhuang Autonomous Region, Guang-xi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Yujie Xie
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Jing Wei
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Chongde Mo
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Ying Zhou
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Shengpeng Qin
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Quanqing Zou
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Jianrong Yang
- Department of Breast and Thyroid Surgery, Guangxi Academy of Medical Sciences, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
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Chan DS, Vieira R, Abar L, Aune D, Balducci K, Cariolou M, Greenwood DC, Markozannes G, Nanu N, Becerra‐Tomás N, Giovannucci EL, Gunter MJ, Jackson AA, Kampman E, Lund V, Allen K, Brockton NT, Croker H, Katsikioti D, McGinley‐Gieser D, Mitrou P, Wiseman M, Cross AJ, Riboli E, Clinton SK, McTiernan A, Norat T, Tsilidis KK. Postdiagnosis body fatness, weight change and breast cancer prognosis: Global Cancer Update Program (CUP global) systematic literature review and meta-analysis. Int J Cancer 2023; 152:572-599. [PMID: 36279884 PMCID: PMC10092239 DOI: 10.1002/ijc.34322] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 07/29/2022] [Accepted: 09/05/2022] [Indexed: 02/01/2023]
Abstract
Previous evidence on postdiagnosis body fatness and mortality after breast cancer was graded as limited-suggestive. To evaluate the evidence on body mass index (BMI), waist circumference, waist-hip-ratio and weight change in relation to breast cancer prognosis, an updated systematic review was conducted. PubMed and Embase were searched for relevant studies published up to 31 October, 2021. Random-effects meta-analyses were conducted to estimate summary relative risks (RRs). The evidence was judged by an independent Expert Panel using pre-defined grading criteria. One randomized controlled trial and 225 observational studies were reviewed (220 publications). There was strong evidence (likelihood of causality: probable) that higher postdiagnosis BMI was associated with increased all-cause mortality (64 studies, 32 507 deaths), breast cancer-specific mortality (39 studies, 14 106 deaths) and second primary breast cancer (11 studies, 5248 events). The respective summary RRs and 95% confidence intervals per 5 kg/m2 BMI were 1.07 (1.05-1.10), 1.10 (1.06-1.14) and 1.14 (1.04-1.26), with high between-study heterogeneity (I2 = 56%, 60%, 66%), but generally consistent positive associations. Positive associations were also observed for waist circumference, waist-hip-ratio and all-cause and breast cancer-specific mortality. There was limited-suggestive evidence that postdiagnosis BMI was associated with higher risk of recurrence, nonbreast cancer deaths and cardiovascular deaths. The evidence for postdiagnosis (unexplained) weight or BMI change and all outcomes was graded as limited-no conclusion. The RCT showed potential beneficial effect of intentional weight loss on disease-free-survival, but more intervention trials and well-designed observational studies in diverse populations are needed to elucidate the impact of body composition and their changes on breast cancer outcomes.
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Affiliation(s)
- Doris S.M. Chan
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Rita Vieira
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Leila Abar
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Dagfinn Aune
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of NutritionBjørknes University CollegeOsloNorway
- Department of Endocrinology, Morbid Obesity and Preventive MedicineOslo University HospitalOsloNorway
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska InstitutetStockholmSweden
| | - Katia Balducci
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Margarita Cariolou
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Darren C. Greenwood
- Leeds Institute for Data Analytics, Faculty of Medicine and HealthUniversity of LeedsLeedsUK
| | - Georgios Markozannes
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of Hygiene and EpidemiologyUniversity of Ioannina Medical SchoolIoanninaGreece
| | - Neesha Nanu
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Nerea Becerra‐Tomás
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Edward L. Giovannucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of Nutrition, Harvard T. H. Chan School of Public HealthBostonMassachusettsUSA
| | - Marc J. Gunter
- Nutrition and Metabolism Section, International Agency for Research on CancerLyonFrance
| | - Alan A. Jackson
- Faculty of Medicine, School of Human Development and HealthUniversity of SouthamptonSouthamptonUK
- National Institute of Health Research Cancer and Nutrition CollaborationSouthamptonUK
| | - Ellen Kampman
- Division of Human Nutrition and HealthWageningen University & ResearchWageningenThe Netherlands
| | - Vivien Lund
- World Cancer Research Fund InternationalLondonUK
| | - Kate Allen
- World Cancer Research Fund InternationalLondonUK
| | | | - Helen Croker
- World Cancer Research Fund InternationalLondonUK
| | | | | | | | | | - Amanda J. Cross
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Elio Riboli
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Steven K. Clinton
- Division of Medical Oncology, The Department of Internal MedicineCollege of Medicine and Ohio State University Comprehensive Cancer Center, Ohio State UniversityColumbusOhioUSA
| | - Anne McTiernan
- Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Teresa Norat
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- World Cancer Research Fund InternationalLondonUK
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of Hygiene and EpidemiologyUniversity of Ioannina Medical SchoolIoanninaGreece
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Pang Y, Wei Y, Kartsonaki C. Associations of adiposity and weight change with recurrence and survival in breast cancer patients: a systematic review and meta-analysis. Breast Cancer 2022; 29:575-588. [PMID: 35579841 PMCID: PMC9226105 DOI: 10.1007/s12282-022-01355-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 03/23/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Adiposity and weight change among patients with breast cancer are associated with mortality, but there is limited evidence on the associations with distant recurrence or other causes of death or on central adiposity. Moreover, the relationship with breast cancer subtypes and by menopause status is unclear. METHODS We conducted a systematic review and meta-analysis of prospective studies of breast cancer patients investigating the associations of general and central adiposity (body mass index [BMI] and waist circumference [WC], respectively), before and after diagnosis, and weight change, with all-cause mortality, breast cancer-specific mortality (BCSM), and recurrence. RESULTS 173 studies (519,544 patients, 60,249 deaths overall, and 25,751 breast cancer deaths) were included. For BMI < 1 year post diagnosis, compared with normal weight women, the summary relative risk (RR) for obese women was 1.21 (1.15-1.27) for all-cause mortality, 1.22 (1.13-1.32) for BCSM, 1.12 (1.06-1.18) for recurrence, and 1.19 (1.11-1.28) for distant recurrence. Obesity was associated with all-cause mortality and BCSM in patients with ER+ or HER2+ tumors, whereas no clear association was observed in patients with triple-negative tumors. Similar associations were observed by menopausal status. Stronger associations were observed in East Asians than Europeans. Central adiposity was associated with all-cause mortality, while large weight gain was associated with all-cause mortality, BCSM, and recurrence. CONCLUSION Higher adiposity is associated with all-cause mortality, BCSM, recurrence, and distant recurrence in breast cancer patients, with similar associations by menopausal status and some evidence of heterogeneity by subtypes. Weight gain is also associated with recurrence and survival among breast cancer patients.
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Affiliation(s)
- Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China
| | - Yuxia Wei
- Institute of Environmental Medicine, Karolinska Institutet, C6 Institutet för miljömedicin, 17177, Stockholm, Sweden
| | - Christiana Kartsonaki
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute Building, Roosevelt Drive, Oxford, UK.
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Big Data Institute Building, Old Road Campus, Oxford, OX3 7LF, UK.
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