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Makram OM, Okwuosa T, Addison D, Cortes J, Dent S, Bevel M, Ganatra S, Al-Kindi S, Hedrick CC, Weintraub NL, Wang X, Guha A. Cardiovascular Diseases Increase Cancer Mortality in Adults: NHANES-Continuous Study. J Am Heart Assoc 2024; 13:e035500. [PMID: 39056333 DOI: 10.1161/jaha.124.035500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 06/19/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND Both cancer and cardiovascular disease (CVD) are the leading causes of death worldwide. Although our previous study detected a relationship between CVD and cancer incidence, limited evidence is available regarding the relationship between CVD, cardiovascular risk factors, and cancer mortality. METHODS AND RESULTS A prospective cohort study using data from the continuous NHANES (National Health and Nutrition Examination Survey, 1999-2016) merged with Medicare and National Death Index mortality data, through December 31, 2018. We included individuals with no history of cancer at baseline. The primary exposure was CVD at baseline. We also conducted a comprehensive risk factor analysis as secondary exposure. The main outcome was cancer mortality data collected from Medicare and National Death Index. We included 44 591 adult individuals representing 1 738 423 317 individuals (52% female, 67% non-Hispanic White, and 9% Hispanic). Competing risk modeling showed a significantly higher risk of cancer mortality in individuals with CVD (adjusted hazard ratio [aHR], 1.37 [95% CI 1.07-1.76], P=0.01) after adjusting for age, sex, and race and ethnicity. Notably, cancer mortality increased with aging (aHR, 1.08 [95% CI 1.05-1.11], P<0.0001), current smoking status (aHR, 6.78 [95% CI, 3.43-13.42], P<0.0001), and obesity (aHR, 2.32 [95% CI, 1.13-4.79], P=0.02). Finally, a significant interaction (P=0.034) was found where those with CVD and obesity showed higher cancer mortality than those with normal body mass index (aHR, 1.73 [95% CI, 1.03-2.91], P=0.04). CONCLUSIONS Our study highlights the close relationship between cardiovascular health and cancer mortality. Our findings suggest that obesity may play a significant role in cancer mortality among individuals with CVD. These findings emphasize the need for a more proactive approach in managing the shared risk factors for CVD and cancer.
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Affiliation(s)
- Omar M Makram
- Department of Medicine Medical College of Georgia at Augusta University Augusta GA USA
- Cardio-Oncology Program, Department of Medicine, Cardiology Division Medical College of Georgia at Augusta University Augusta GA USA
| | - Tochukwu Okwuosa
- Division of Cardiology, Department of Internal Medicine Rush University Medical Center Chicago IL USA
| | - Daniel Addison
- Cardio-Oncology Program The Ohio State University Columbus OH USA
| | - Jorge Cortes
- Georgia Cancer Center Augusta University Augusta GA USA
| | - Susan Dent
- Duke Cancer Institute Duke University Durham NC USA
| | - Malcolm Bevel
- Georgia Cancer Center Augusta University Augusta GA USA
| | - Sarju Ganatra
- Department of Cardiology Lahey Hospital and Medical Center, Beth Israel Lahey Health Burlington MA USA
| | - Sadeer Al-Kindi
- Houston Methodist DeBakey Heart &Vascular Center Houston TX USA
| | | | - Neal L Weintraub
- Cardio-Oncology Program, Department of Medicine, Cardiology Division Medical College of Georgia at Augusta University Augusta GA USA
- Division of Cardiology, Department of Medicine Medical College of Georgia at Augusta University Augusta GA USA
| | - Xiaoling Wang
- Georgia Prevention Institute Medical College of Georgia at Augusta University Augusta GA USA
| | - Avirup Guha
- Cardio-Oncology Program, Department of Medicine, Cardiology Division Medical College of Georgia at Augusta University Augusta GA USA
- Division of Cardiology, Department of Medicine Medical College of Georgia at Augusta University Augusta GA USA
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O'Brien KM, Wentzensen N, Ogunsina K, Weinberg CR, D'Aloisio AA, Edwards JK, Sandler DP. Intimate Care Products and Incidence of Hormone-Related Cancers: A Quantitative Bias Analysis. J Clin Oncol 2024; 42:2645-2659. [PMID: 38748950 DOI: 10.1200/jco.23.02037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/04/2024] [Accepted: 03/12/2024] [Indexed: 07/31/2024] Open
Abstract
PURPOSE Intimate care products may contain substances associated with increased risk of hormone-related cancers. The relationship between genital talc use and ovarian cancer, in particular, has been well studied, but concerns about recall bias and exposure misclassification have precluded conclusions. We examined the association between intimate care products and female hormone-related cancers, accounting for potential biases, using data from a US-based cohort study. METHODS The Sister Study enrolled 50,884 women who had a sister with breast cancer. Data on genital talc use and douching were collected at enrollment (2003-2009) and follow-up (2017-2019). We used Cox proportional hazards models to estimate hazard ratios (HRs) for associations between intimate care product use and breast, ovarian, and uterine cancers. To account for potential exposure misclassification and recall bias, we conducted quantitative bias analyses under various exposure reassignment assumptions. RESULTS Across considered scenarios, 41%-64% of participants douched and 35%-56% used genital talc. In models adjusted for exposure misclassification, genital talc use was positively associated with ovarian cancer (HR range, 1.17-3.34) Frequent douching and douching during young adulthood were positively associated with ovarian cancer, but neither douching nor talc was associated with breast or uterine cancer. Differential reporting of talc use by cases and noncases likely produces positive biases, but correcting for error still resulted in HRs above 1.0. For example, HR, 1.40 (95% CI, 1.04 to 1.89) when 25% of exposed cases and 10% of unexposed noncases had talc status reassigned. CONCLUSION Although results show how differential recall would upwardly bias estimates, corrected results support a positive association between use of intimate care products, including genital talc, and ovarian cancer.
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Affiliation(s)
- Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC
| | - Nicolas Wentzensen
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Kemi Ogunsina
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC
| | | | - Jessie K Edwards
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC
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Oh H, Yaghjyan L, Heng YJ, Rosner B, Mahoney MB, Murthy D, Baker GM, Tamimi RM. Associations of Early-Life and Adult Anthropometric Measures with the Expression of Stem Cell Markers CD44, CD24, and ALDH1A1 in Women with Benign Breast Biopsies. Cancer Epidemiol Biomarkers Prev 2024; 33:933-943. [PMID: 38652503 PMCID: PMC11216865 DOI: 10.1158/1055-9965.epi-23-1567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 03/06/2024] [Accepted: 04/17/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND According to the stem cell hypothesis, breast carcinogenesis may be related to the breast stem cell pool size. However, little is known about associations of breast cancer risk factors, such as anthropometric measures, with the expression of stem cell markers in noncancerous breast tissue. METHODS The analysis included 414 women with biopsy-confirmed benign breast disease in the Nurses' Health Study and Nurses' Health Study II. Birthweight, weight at age 18, current weight, and current height were reported via self-administered questionnaires. IHC staining of stem cell markers (CD44, CD24, and aldehyde dehydrogenase family 1 member A1) in histopathologically normal epithelial and stromal breast tissue was quantified using an automated computational image analysis system. Linear regression was used to examine the associations of early-life and adult anthropometric measures with log-transformed stem cell marker expression, adjusting for potential confounders. RESULTS Birthweight [≥10.0 vs. <5.5 lbs: β (95% confidence interval) = 4.29 (1.02, 7.56); P trend = 0.001 in the stroma] and adult height [≥67.0 vs. <63.0 inch: 0.86 (0.14, 1.58); P trend = 0.02 in the epithelium and stroma combined] were positively associated with CD44 expression. Childhood body fatness was inversely associated (P trend = 0.03) whereas adult height was positively associated with CD24 expression in combined stroma and epithelium (P trend = 0.03). CONCLUSIONS Our data suggest that anthropometric measures, such as birthweight, adult height, and childhood body fatness, may be associated with the stem cell expression among women with benign breast disease. IMPACT Anthropometric measures, such as birthweight, height, and childhood body fatness, may have long-term impacts on stem cell population in the breast.
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Affiliation(s)
- Hannah Oh
- Department of Health Policy and Management, Korea University, Seoul, South Korea
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Korea University, Seoul, South Korea
| | - Lusine Yaghjyan
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida
| | - Yujing J Heng
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Matt B Mahoney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Divya Murthy
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Gabrielle M Baker
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
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Fortner RT, Brantley KD, Tworoger SS, Tamimi RM, Rosner B, Holmes MD, Willett WC, Eliassen AH. Recreational physical activity and breast cancer risk by menopausal status and tumor hormone receptor status: results from the Nurses' Health Studies. Breast Cancer Res Treat 2024; 206:77-90. [PMID: 38592542 PMCID: PMC11182805 DOI: 10.1007/s10549-023-07238-x] [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: 02/18/2023] [Accepted: 12/15/2023] [Indexed: 04/10/2024]
Abstract
PURPOSE Physical activity is associated with lower breast cancer risk, especially in postmenopausal women. Associations in premenopausal women are less well established. METHODS We evaluated recreational physical activity and breast cancer risk in the Nurses' Health Study (NHS) and NHSII (187,278 women; n = 12,785 breast cancers; follow-up: NHS = 1986-2016, NHSII = 1989-2017) by menopausal status and estrogen (ER) and progesterone (PR) receptor status. Physical activity was evaluated as updated cumulative average of metabolic equivalent of task (MET)-h/week. Cox proportional hazards models were used to estimate multivariable hazard ratios (HR) and 95% confidence intervals (CI). RESULTS Recreational physical activity was inversely associated with breast cancer risk in pre- and postmenopausal women. Higher activity levels were associated with lower risk of ER+/PR + breast cancer in both pre- and postmenopausal women (e.g., total recreational activity, ≥ 27 vs < 3 MET-h/week, premenopausal HR = 0.83, 95%CI = (0.70-0.99), postmenopausal HR = 0.86 (0.78-0.95); pheterogeneity = 0.97). Results were attenuated with adjustment for current body mass index (BMI) among postmenopausal, but not premenopausal, women (e.g., ≥ 27 vs < 3 MET-h/week, premenopausal HR = 0.83 (0.69-0.98); postmenopausal HR = 0.95 (0.85-1.05); pheterogeneity = 0.99). In analyses of moderate-vigorous activity and breast cancer risk, no heterogeneity by menopausal status was observed (phet ≥ 0.53; e.g., ≥ 27 vs < 3 MET-h/week, ER+/PR+, premenopausal HR = 0.88 (0.69-1.11); postmenopausal HR = 0.71 (0.58-0.88). No associations were observed for ER-/PR- disease. CONCLUSIONS Recreational physical activity was associated with lower breast cancer risk in both pre- and postmenopausal women, supporting recreational physical activity as an accessible, modifiable exposure associated with reduced breast cancer risk regardless of menopausal status.
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Affiliation(s)
- Renée T Fortner
- Department of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Majorstuen, Postbox 5313, 0304, Oslo, Norway.
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
| | - Kristen D Brantley
- Channing Division of Network 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
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - 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
| | - Bernard Rosner
- Channing Division of Network 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 Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Michelle D Holmes
- Channing Division of Network 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
| | - Walter C Willett
- Channing Division of Network 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
| | - A Heather Eliassen
- Channing Division of Network 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
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Mistry T, Pal R, Ghosh S, Choudhury T, Mandal S, Nath P, Alam N, Nasare VD. Impact of Low BMI and Nutritional Status on Quality of Life and Disease Outcome in Breast Cancer Patients: Insights From a Tertiary Cancer Center in India. Nutr Cancer 2024; 76:596-607. [PMID: 38836498 DOI: 10.1080/01635581.2024.2347396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 04/18/2024] [Indexed: 06/06/2024]
Abstract
This study investigates the impact of Body Mass Index (BMI) on Quality of Life (QoL) and treatment outcomes in breast cancer (BC) patients, particularly focusing on underweight individuals with compromised nutritional status. A nonrandomized prospective study comprising 121 newly diagnosed patients across various BMI categories utilized FACT-B & FACIT-Sp-12 questionnaires. Follow-ups occurred at baseline, during (3rd and 6th), and after (12th month) anthracycline-taxane chemotherapy, either sequentially or concomitantly. Patients with low BMI (<18.5 kg/m2; 53.7%) exhibited significantly poorer QoL, marked by compromised nutritional indicators (low MUAC and SFT). Repeated measures ANOVA identified significant correlations between BMI groups in functional, social, and emotional QoL aspects (p < 0.05), with no notable differences in other domains. A Chi-square (ꭓ2) test underscored a significant link between BMI and treatment response (p < 0.0001), showing higher rates of non-responders among underweight patients (p = 4.259e-14). The study advocates pretreatment consultation with a dietitian as standard care for Indian BC patients, offering complimentary nutritional support for improved QoL outcomes and treatment responses.
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Affiliation(s)
- Tanuma Mistry
- Department of Pathology & Cancer Screening, Chittaranjan National Cancer Institute, Kolkata, India
- Department of Life Science & Biotechnology, Jadavpur University, Kolkata, India
| | - Ranita Pal
- Department of Pathology & Cancer Screening, Chittaranjan National Cancer Institute, Kolkata, India
| | - Sushmita Ghosh
- Department of Pathology & Cancer Screening, Chittaranjan National Cancer Institute, Kolkata, India
| | - Trisha Choudhury
- Department of Pathology & Cancer Screening, Chittaranjan National Cancer Institute, Kolkata, India
| | - Syamsundar Mandal
- Department of Epidemiology and Biostatistics, Chittaranjan National Cancer Institute, Kolkata, India
| | - Partha Nath
- Department of Medical Oncology, Chittaranjan National Cancer Institute, Kolkata, India
| | - Neyaz Alam
- Department of Surgical Oncology, Chittaranjan National Cancer Institute, Kolkata, India
| | - Vilas D Nasare
- Department of Pathology & Cancer Screening, Chittaranjan National Cancer Institute, Kolkata, India
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Izuegbuna OO, Olawumi HO, Agodirin OS, Olatoke SA. Lipid Profile and Atherogenic Risk Assessment in Nigerian Breast Cancer Patients - A Cross-Sectional Study. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2024:1-10. [PMID: 38805002 DOI: 10.1080/27697061.2024.2353289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 05/04/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND The lipid profile and atherogenic risk indices in Nigerian breast cancer patients are largely unknown. This study evaluated the lipid profile and atherogenic risk indices of breast cancer patients in Nigeria. METHODS This study involved 45 primarily diagnosed breast cancer patients and 50 normal control subjects. Total cholesterol, triglyceride, and High-density lipoprotein cholesterol (HDL-C) were measured. Low-density lipoprotein cholesterol (LDL-C) was calculated according to Friedewald formula. Atherogenic index of plasma (AIP), Atherogenic coefficient (AC), TC/HDL-C (Castelli I) and LDL-C/HDL-C (Castelli II) risk indices were all calculated. The Framingham risk assessment was calculated and categorized. RESULTS The study group had significantly higher triglycerides (TG), and atherogenic indices than the control group (p < 0.001), while HDL-Cholesterol (HDL-C) was significantly lower in the study group (p < 0.001). Total cholesterol and LDL-Cholesterol (LDL-C) had a significant positive correlation with age (r = 0.283, p < 0.018; r = 0.272, p < 0.023); TG was significantly positively correlated with systolic and diastolic blood pressure (r = 0.320. p < 0.007; r = 0.334, p < 0.005); HDL-C had a significant negative correlation with BMI, systolic and diastolic blood pressure (r = -0.252, p < 0.035; r = -0.29, p < 0.015; r = -0.329, p < 0.005). The lipid ratios (TC/HDL-C, LDL-C/HDL-C) were significantly positively correlated with body mass index (BMI), systolic and diastolic blood pressure. The Framingham Risk Score showed that only 2 subjects in the study group (4.4%) were at a high risk of having a cardiovascular event. CONCLUSION Breast cancer patients have a higher prevalence of dyslipidaemia, and cardiovascular risk than the normal population.
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Affiliation(s)
- Ogochukwu O Izuegbuna
- Department of Haematology and Blood Transfusion, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Hannah O Olawumi
- Department of Haematology and Blood Transfusion, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Olayide S Agodirin
- Department of Surgery, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Samuel A Olatoke
- Department of Surgery, University of Ilorin Teaching Hospital, Ilorin, Nigeria
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Zhong X, Zhang F, Xiao H, Tu R. Single-cell transcriptome analysis of macrophage subpopulations contributing to chemotherapy resistance in ovarian cancer. Immunobiology 2024; 229:152811. [PMID: 38941863 DOI: 10.1016/j.imbio.2024.152811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 06/30/2024]
Abstract
BACKGROUND Ovarian cancer, a fatal gynecological malignancy, is primarily managed through surgery and chemotherapy. However, a significant challenge arises as patients frequently experience relapse due to chemotherapy resistance. This study delves into the complex functions and underlying mechanisms of macrophages in chemotherapy resistance in ovarian cancer. METHOD The single-cell transcriptome sequencing data of ovarian cancer with or without chemotherapy were analyzed. Then, corresponding cell types were identified, and macrophages were extracted from all cells. Following the standardized single-cell analysis using the Seurat package, 15 distinct macrophage clusters were found and differentially expressed genes among them were analyzed. Moreover, their association with chemotherapy resistance was explored through cell proportions and gene expression. RESULT In the single-cell transcriptomic analysis of ovarian cancer tissues before and after chemotherapy, the cellular proportion of CXCL5+ macrophages, THBS1+ macrophages, and MMP9+ macrophages were significantly increased following chemotherapy. Further investigation revealed that these macrophage subpopulations upregulated the expression of multiple pro-tumorigenic angiogenic or invasive factors, in addition to CXCL5, THBS1, and MMP9, including CTSL, CXCL1, and CCL18. Finally, pathway enrichment analysis revealed the significant activation of signaling pathways, such as NOD-like receptor, MAPK, and TNF in these macrophage subpopulations, which provides direction for studying the mechanism of these subpopulations. CONCLUSION CXCL5+, THBS1+, and MMP9+ macrophage subpopulations exhibit an increased cellular prevalence post-chemotherapy and pro-tumorigenic molecular expression profiles, suggesting a close association with chemoresistance in ovarian cancer. These findings contribute to our understanding of the roles and mechanisms of macrophages in ovarian cancer chemoresistance, providing a theoretical basis and direction for the development of therapies targeting macrophages in overcoming ovarian cancer chemoresistance.
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Affiliation(s)
- Xiaolin Zhong
- Department of Gynecology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen Clinical Research Center for Cancer Therapy, Xiamen 361006, Fujian, China
| | - Fei Zhang
- Department of Gynecology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen Clinical Research Center for Cancer Therapy, Xiamen 361006, Fujian, China
| | - Hongyang Xiao
- Department of Gynecology, Zhongshan Hospital, Fudan University, Shanghai 200035, China.
| | - Ruiqing Tu
- Department of Gynecology, Zhongshan Hospital, Fudan University, Shanghai 200035, China.
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Jin Z, Tian C, Kang M, Hu S, Zhao L, Zhang W. The 100 top-cited articles in menopausal syndrome: a bibliometric analysis. Reprod Health 2024; 21:47. [PMID: 38589898 PMCID: PMC11003046 DOI: 10.1186/s12978-024-01770-9] [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: 10/28/2023] [Accepted: 03/10/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Significant scientific research has been conducted concerning menopausal syndrome(MPS), yet few bibliometric analyses have been performed. Our aim was to recognise the 100 most highly cited published articles on MPS and to analytically evaluate their key features. METHODS To identify the 100 most frequently cited articles, a search was conducted on Web of Science using the term 'menopausal syndrome'. Articles that matched the predetermined criteria were scrutinised to obtain the following data: citation ranking, year of publication, publishing journal, journal impact factor, country of origin, academic institution, authors, study type, and keywords. RESULTS The publication period is from January 1, 2000, to August 31, 2022. The maximum number of citations was 406 and in 2012. The median citations per year was 39.70. Most of the articles focused on treatment and complications. These articles were published in 36 different journals, with the Journal of MENOPAUSE having published the greatest number (14%). Forty-eight articles (48%) were from the United States, with the University of Pittsburgh being the leading institute (9%). Joann E. Manson was the most frequent first author (n = 6). Observational studies were the most frequently conducted research type (n = 53), followed by experimental studies (n = 33). Keyword analysis identified classic research topics, including genitourinary syndrome of menopause, bone mineral density (BMD), and anti-mullerian hormone (AMH) loci. CONCLUSION Using bibliometrics, we conducted an analysis to identify the inadequacies, traditional focal points, and potential prospects in the study of MPS across current scientific areas. Treatment and complications are at the core of MPS research, whereas prediction and biomarkers have less literature of high quality. There is a necessity for innovative analytical metrics to measure the real effect of these papers with a high level of citation on clinical application.
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Affiliation(s)
- Zishan Jin
- Beijing University of Chinese Medicine, Beijing, 100029, China
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Chuanxi Tian
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Mengjiao Kang
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Shiwan Hu
- Beijing University of Chinese Medicine, Beijing, 100029, China
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Linhua Zhao
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
| | - Wei Zhang
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
- Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China.
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Zhang Y, Lindström S, Kraft P, Liu Y. Genetic Risk, Health-Associated Lifestyle, and Risk of Early-onset Total Cancer and Breast Cancer. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.04.24305361. [PMID: 38633776 PMCID: PMC11023660 DOI: 10.1101/2024.04.04.24305361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Importance Early-onset cancer (diagnosed under 50 years of age) is associated with aggressive disease characteristics and its rising incidence is a global concern. The association between healthy lifestyle and early-onset cancer and whether it varies by common genetic variants is unknown. Objective To examine the associations between genetic risk, lifestyle, and risk of early-onset cancers. Design Setting and Participants We analyzed a prospective cohort of 66,308 white British participants who were under age 50 and free of cancer at baseline in the UK Biobank. Exposures Sex-specific composite total cancer polygenic risk scores (PRSs), a breast cancer-specific PRS, and sex-specific health-associated lifestyle scores (HLSs, which summarize smoking status, body mass index [males only], physical activity, alcohol consumption, and diet). Main Outcomes and Measures Hazard ratios (HRs) and 95% confidence intervals (CIs) for early-onset total and breast cancer. Results A total of 1,247 incident invasive early-onset cancer cases (female: 820, male: 427, breast: 386) were documented. In multivariable-adjusted analyses with 2-year latency, higher genetic risk (highest vs. lowest tertile of PRS) was associated with significantly increased risks of early-onset total cancer in females (HR, 95% CI: 1.85, 1.50-2.29) and males (1.94, 1.45-2.59) as well as early-onset breast cancer in females (3.06, 2.20-4.25). An unfavorable lifestyle (highest vs. lowest category of HLS) was associated with higher risk of total cancer and breast cancer in females across genetic risk categories; the association with total cancer was stronger in the highest genetic risk category than the lowest: HRs in females and men were 1.85 (1.02, 3.36), 3.27 (0.78, 13.72) in the highest genetic risk category and 1.15 (0.44, 2.98), 1.16 (0.39, 3.40) in the lowest. Conclusions and Relevance Both genetic and lifestyle factors were independently associated with early-onset total and breast cancer risk. Compared to those with low genetic risk, individuals with a high genetic risk may benefit more from adopting a healthy lifestyle in preventing early-onset cancer.
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Affiliation(s)
- Yin Zhang
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Peter Kraft
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yuxi Liu
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
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Tran TXM, Chang Y, Choi HR, Kwon R, Lim GY, Kim EY, Ryu S, Park B. Adiposity, Body Composition Measures, and Breast Cancer Risk in Korean Premenopausal Women. JAMA Netw Open 2024; 7:e245423. [PMID: 38578637 PMCID: PMC10998159 DOI: 10.1001/jamanetworkopen.2024.5423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/09/2024] [Indexed: 04/06/2024] Open
Abstract
Objective To investigate the association between body composition parameters and breast cancer (BC) risk in premenopausal women. Design, Setting, and Participants Prospective cohort study using data from the Kangbuk Samsung Cohort Study. Participants were women aged 20 to 54 years who were enrolled from 2011 to 2019 and followed up for BC development until December 31, 2020. Data were analyzed from June to August 2023. Exposures Trained nurses conducted anthropometric measurements and assessed body composition using segmental bioelectric impedance analysis. The analysis encompassed adiposity measures such as body mass index (BMI), waist circumference, and body composition parameters, including muscle mass, fat mass, ratio of muscle mass to weight, ratio of fat mass to weight, and fat mass index. Main outcomes and measures Adjusted hazard ratios (aHR) for BC during the follow-up period. Results Among 125 188 premenopausal women, the mean (SD) age was 34.9 (6.3) years. During a mean (range) follow-up of 6.7 (0.5-9.9) years, 1110 incident BC cases were identified. The mean (SD) BMI and waist circumference were 21.6 (3.1) and 75.3 (8.2) cm, respectively. Higher BMI and waist circumference were associated with decreased risk, with an aHR of 0.89 (95% CI, 0.84-0.95) per SD increase in BMI and 0.92 (95% CI, 0.86-0.98) per SD increase in waist circumference. A higher ratio of fat mass to weight was associated with decreased BC risk (aHR, 0.92; 95% CI, 0.86-0.99 per SD increase), whereas the opposite trend was observed for the ratio of muscle mass to weight, with an aHR of 1.08 (95% CI, 1.02-1.15) per SD increase. The results remained consistent even after additional adjustments for height in the model. The fat mass index was also inversely associated with BC risk, with an HR of 0.90 (95% CI, 0.85-0.97) per SD increase. Conclusions and Relevance In this cohort study of premenopausal women, a higher level of adiposity, represented by increased BMI, waist circumference, and fat mass, was consistently associated with decreased breast cancer risk. Conversely, muscle mass and its ratio to weight displayed opposite or inconsistent patterns. These findings suggest an inverse association between excess adiposity and the risk of BC in premenopausal women, confirming earlier findings that BMI is an indirect measure of adiposity.
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Affiliation(s)
- Thi Xuan Mai Tran
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Yoosoo Chang
- Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Hye Rin Choi
- Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Institute of Medical Research, Sungkyunkwan University, School of Medicine, Suwon, Republic of Korea
| | - Ria Kwon
- Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Institute of Medical Research, Sungkyunkwan University, School of Medicine, Suwon, Republic of Korea
| | - Ga-Young Lim
- Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Institute of Medical Research, Sungkyunkwan University, School of Medicine, Suwon, Republic of Korea
| | - Eun Young Kim
- Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Seungho Ryu
- Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Boyoung Park
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
- Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, Republic of Korea
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Shi X, Deng G, Wen H, Lin A, Wang H, Zhu L, Mou W, Liu Z, Li X, Zhang J, Cheng Q, Luo P. Role of body mass index and weight change in the risk of cancer: A systematic review and meta-analysis of 66 cohort studies. J Glob Health 2024; 14:04067. [PMID: 38547495 PMCID: PMC10978059 DOI: 10.7189/jogh.14.04067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024] Open
Abstract
Background This study was designed to evaluate the effects of body mass index (BMI) and weight change on the risk of developing cancer overall and cancer at different sites. Methods We searched PubMed and other databases up to July 2023 using the keywords related to 'risk', 'cancer', 'weight', 'overweight', and 'obesity'. We identified eligible studies, and the inclusion criteria encompassed cohort studies in English that focused on cancer diagnosis and included BMI or weight change as an exposure factor. Multiple authors performed data extraction and quality assessment, and statistical analyses were carried out using RevMan and R software. We used random- or fixed-effects models to calculate the pooled relative risk (RR) or hazard ratio along with 95% confidence intervals (CIs). We used the Newcastle-Ottawa Scale to assess study quality. Results Analysis included 66 cohort studies. Compared to underweight or normal weight, overweight or obesity was associated with an increased risk of endometrial cancer, kidney cancer, and liver cancer but a decreased risk of prostate cancer and lung cancer. Being underweight was associated with an increased risk of gastric cancer and lung cancer but not that of postmenopausal breast cancer or female reproductive cancer. In addition, weight loss of more than five kg was protective against overall cancer risk. Conclusions Overweight and obesity increase the risk of most cancers, and weight loss of >5 kg reduces overall cancer risk. These findings provide insights for cancer prevention and help to elucidate the mechanisms underlying cancer development. Registration Reviewregistry1786.
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Affiliation(s)
- Xiaoye Shi
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Gengwen Deng
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Haiteng Wen
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Anqi Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Haitao Wang
- Thoracic Surgery Branch, Centre for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Aetiology and Carcinogenesis, National Cancer Centre, National Clinical Research Centre for Cancer, Cancer Hospital, Changping Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weiming Mou
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zaoqu Liu
- Key Laboratory of Proteomics, Beijing Proteome Research Centre, National Centre for Protein Sciences, Beijing Institute of Lifeomics, Beijing, China
- Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking Union Medical College, Beijing, China
| | - Xiaohua Li
- Department of Respiratory and Critical Care Medicine, Sixth People’s Hospital of Chengdu, Chengdu, Sichuan, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Hunan, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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12
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Dikaiou P, Edqvist J, Lagergren J, Adiels M, Björck L, Rosengren A. Body mass index and risk of cancer in young women. Sci Rep 2024; 14:6245. [PMID: 38485791 PMCID: PMC10940279 DOI: 10.1038/s41598-024-56899-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 03/12/2024] [Indexed: 03/18/2024] Open
Abstract
It is unclear how increasing body mass index (BMI) influences risk of cancer in young women. We used data from the Medical Birth, Patient and Cause of Death registers collected between 1982 and 2014 to determine the risk of obesity-related cancer types, breast cancer, all cancer and cancer-related death in relation to BMI in 1,386,725 women, aged between 18 and 45 years, in Sweden. During a median follow-up of 16.3 years (IQR 7.7-23.5), 9808 women developed cancer. The hazard ratio (HR) of endometrial and ovarian cancer increased with higher BMI from 1.08 (95% CI 0.93-1.24) and 1.08 (95% CI 0.96-1.21) among women with BMI 22.5-< 25 to 2.33 (95% CI 1.92-2.83) and 1.48 (95% CI 1.24-1.77), respectively, among women with BMI ≥ 30. There were linear and positive associations between BMI and incident cancer in the ovary, colon, endometrium, pancreas, rectum, gallbladder, esophageal cancer and renal cell carcinoma, as well as death from obesity-related cancer forms. In conclusion, we found that elevated BMI in young women linearly associated with several obesity-related cancer forms, including death from these cancers.
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Affiliation(s)
- Pigi Dikaiou
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Sahlgrenska University Hospital/Sahlgrenska Hospital, Gothenburg, Sweden.
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg Hospital/Östra, Diagnosvägen 11, 416 50, Gothenburg, Sweden.
| | - Jon Edqvist
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital/Sahlgrenska Hospital, Gothenburg, Sweden
| | - Jesper Lagergren
- Upper Gastrointestinal Surgery, Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Martin Adiels
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Health Metrics Unit, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lena Björck
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital/Östra Hospital, Gothenburg, Sweden
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital/Östra Hospital, Gothenburg, Sweden
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13
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Timmins IR, Jones ME, O'Brien KM, Adami HO, Aune D, Baglietto L, Bertrand KA, Brantley KD, Chen Y, Clague DeHart J, Clendenen TV, Dossus L, Eliassen AH, Fletcher O, Fournier A, Håkansson N, Hankinson SE, Houlston RS, Joshu CE, Kirsh VA, Kitahara CM, Koh WP, Linet MS, Park HL, Lynch BM, May AM, Mellemkjær L, Milne RL, Palmer JR, Ricceri F, Rohan TE, Ruddy KJ, Sánchez MJ, Shu XO, Smith-Byrne K, Steindorf K, Sund M, Vachon CM, Vatten LJ, Visvanathan K, Weiderpass E, Willett WC, Wolk A, Yuan JM, Zheng W, Nichols HB, Sandler DP, Swerdlow AJ, Schoemaker MJ. International Pooled Analysis of Leisure-Time Physical Activity and Premenopausal Breast Cancer in Women From 19 Cohorts. J Clin Oncol 2024; 42:927-939. [PMID: 38079601 PMCID: PMC10927335 DOI: 10.1200/jco.23.01101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/07/2023] [Accepted: 10/19/2023] [Indexed: 02/12/2024] Open
Abstract
PURPOSE There is strong evidence that leisure-time physical activity is protective against postmenopausal breast cancer risk but the association with premenopausal breast cancer is less clear. The purpose of this study was to examine the association of physical activity with the risk of developing premenopausal breast cancer. METHODS We pooled individual-level data on self-reported leisure-time physical activity across 19 cohort studies comprising 547,601 premenopausal women, with 10,231 incident cases of breast cancer. Multivariable Cox regression was used to estimate hazard ratios (HRs) and 95% CIs for associations of leisure-time physical activity with breast cancer incidence. HRs for high versus low levels of activity were based on a comparison of risk at the 90th versus 10th percentiles of activity. We assessed the linearity of the relationship and examined subtype-specific associations and effect modification across strata of breast cancer risk factors, including adiposity. RESULTS Over a median 11.5 years of follow-up (IQR, 8.0-16.1 years), high versus low levels of leisure-time physical activity were associated with a 6% (HR, 0.94 [95% CI, 0.89 to 0.99]) and a 10% (HR, 0.90 [95% CI, 0.85 to 0.95]) reduction in breast cancer risk, before and after adjustment for BMI, respectively. Tests of nonlinearity suggested an approximately linear relationship (Pnonlinearity = .94). The inverse association was particularly strong for human epidermal growth factor receptor 2-enriched breast cancer (HR, 0.57 [95% CI, 0.39 to 0.84]; Phet = .07). Associations did not vary significantly across strata of breast cancer risk factors, including subgroups of adiposity. CONCLUSION This large, pooled analysis of cohort studies adds to evidence that engagement in higher levels of leisure-time physical activity may lead to reduced premenopausal breast cancer risk.
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Affiliation(s)
- Iain R. Timmins
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Statistical Innovation, AstraZeneca, Cambridge, United Kingdom
| | - Michael E. Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Katie M. O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC
| | - Hans-Olov Adami
- Clinical Effectiveness Group, Institute of Health and Society, University of Oslo, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Oslo New University College, Oslo, Norway
- Department of Research, The Cancer Registry of Norway, Oslo, Norway
| | - Laura Baglietto
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Kristen D. Brantley
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY
| | | | - Tess V. Clendenen
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - A. Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Agnès Fournier
- UVSQ, CESP, Gustave Roussy, Team “Exposome, Heredity, Cancer, and Health”, INSERM, Paris-Saclay University, Paris-South University, Villejuif, France
| | - Niclas Håkansson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Susan E. Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Corinne E. Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Victoria A. Kirsh
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Cari M. Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - Martha S. Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Hannah Lui Park
- Department of Pathology and Laboratory Medicine, Department of Epidemiology, UC Irvine School of Medicine, Irvine, CA
| | - Brigid M. Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Anne M. May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - Roger L. Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | | | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Turin, Italy
| | | | | | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Malin Sund
- Department of Surgical and Perioperative Sciences/Surgery, Umeå University, Umeâ, Sweden
- Department of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Celine M. Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN
| | - Lars J. Vatten
- Department of Public Health and Nursing, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Walter C. Willett
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Alicja Wolk
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Hazel B. Nichols
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC
| | - Anthony J. Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Minouk J. Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Real World Solutions, IQVIA, Amsterdam, the Netherlands
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Han Y, Otegbeye EE, Stoll C, Hardi A, Colditz GA, Toriola AT. How does weight gain since the age of 18 years affect breast cancer risk in later life? A meta-analysis. Breast Cancer Res 2024; 26:39. [PMID: 38454466 PMCID: PMC10921610 DOI: 10.1186/s13058-024-01804-x] [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: 07/07/2023] [Accepted: 03/03/2024] [Indexed: 03/09/2024] Open
Abstract
Early life factors are important risk factors for breast cancer. The association between weight gain after age 18 and breast cancer risk is inconsistent across previous epidemiologic studies. To evaluate this association, we conducted a meta-analysis according to PRISMA guidelines and the established inclusion criteria. We performed a comprehensive literature search using Medline (Ovid), Embase, Scopus, Cochrane Library, and ClinicalTrials.gov to identify relevant studies published before June 3, 2022. Two reviewers independently reviewed the articles for final inclusion. Seventeen out of 4,725 unique studies met the selection criteria. The quality of studies was assessed using the Newcastle-Ottawa Scale (NOS), and all were of moderate to high quality with NOS scores ranging from 5 to 8. We included 17 studies (11 case-control, 6 cohort) in final analysis. In case-control studies, weight gain after age 18 was associated with an increased risk of breast cancer (odds ratio [OR] = 1.25; 95% CI = 1.07-1.48), when comparing the highest versus the lowest categories of weight gain. Menopausal status was a source of heterogeneity, with weight gain after age 18 associated with an increased risk of breast cancer in postmenopausal women (OR = 1.53; 95% CI = 1.40-1.68), but not in premenopausal women (OR = 1.01; 95% CI = 0.92-1.12). Additionally, a 5 kg increase in weight was positively associated with postmenopausal breast cancer risk (OR = 1.12; 95%CI = 1.05-1.21) in case-control studies. Findings from cohort studies were identical, with a positive association between weight gain after age 18 and breast cancer incidence in postmenopausal women (relative risk [RR] = 1.30; 95% CI = 1.09-1.36), but not in premenopausal women (RR = 1.06; 95% CI = 0.92-1.22). Weight gain after age 18 is a risk factor for postmenopausal breast cancer, highlighting the importance of weight control from early adulthood to reduce the incidence of postmenopausal breast cancer.
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Affiliation(s)
- Yunan Han
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8100, St. Louis, MO, 63110, USA
| | - Ebunoluwa E Otegbeye
- Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Carrie Stoll
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8100, St. Louis, MO, 63110, USA
| | - Angela Hardi
- Bernard Becker Medical Library, Washington University School of Medicine, St. Louis, MO, USA
| | - Graham A Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8100, St. Louis, MO, 63110, USA
- Alvin J. Siteman Cancer Center, Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA
| | - Adetunji T Toriola
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8100, St. Louis, MO, 63110, USA.
- Alvin J. Siteman Cancer Center, Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA.
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15
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Zhang Y, Song M, Yang Z, Huang X, Lin Y, Yang H. Healthy lifestyles, systemic inflammation and breast cancer risk: a mediation analysis. BMC Cancer 2024; 24:208. [PMID: 38360584 PMCID: PMC10868083 DOI: 10.1186/s12885-024-11931-5] [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: 08/05/2023] [Accepted: 01/29/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Despite the known association between healthy lifestyles and reduced risk of breast cancer, it remains unclear whether systemic inflammation, as a consequence of unhealthy lifestyles, may mediate the association. METHODS A cohort study of 259,435 female participants in the UK Biobank was conducted to estimate hazard ratio (HR) for breast cancer according to 9 inflammation markers using Cox regression models. We further estimated the percentage of total association between healthy lifestyle index (HLI) and breast cancer that is mediated by these inflammation markers. RESULTS During 2,738,705 person-years of follow-up, 8,889 cases of breast cancer were diagnosed among 259,435 women in the UK Biobank cohort. Higher level of C-reactive protein (CRP), systemic immune-inflammation index (SII), CRP-to-albumin Ratio (CAR), CRP-to-lymphocyte Ratio (CLR), monocyte-to-HDL-c ratio (MHR), and neutrophil-to-HDL-c ratio (NHR) were associated with increased breast cancer risk, while a higher lymphocyte-to-monocyte ratio (LMR) was associated with a lower risk. The inverse association between HLI and breast cancer was weakly mediated by CRP (8.5%), SII (1.71%), CAR (8.66%), CLR (6.91%), MHR (6.27%), and NHR (7.33%). When considering individual lifestyle factors, CRP and CAR each mediated 16.58% and 17.20%, respectively, of the associations between diet score and breast cancer risk, while the proportion mediated for physical activity and breast cancer were 12.13% and 11.48%, respectively. Furthermore, MHR was found to mediate 13.84% and 12.01% of the associations between BMI, waist circumference, and breast cancer. CONCLUSION The association of HLI and breast cancer is weakly mediated by the level of inflammation, particularly by CRP and CAR. Systemic inflammatory status may be an intermediate in the biological pathway of breast cancer development.
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Affiliation(s)
- Yanyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xue Yuan Road 1, University Town, 350122, Fuzhou, China
| | - Mengjie Song
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xue Yuan Road 1, University Town, 350122, Fuzhou, China
| | - Zixuan Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xue Yuan Road 1, University Town, 350122, Fuzhou, China
| | - Xiaoxi Huang
- Department of Breast, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, China
| | - Yuxiang Lin
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
- Breast Cancer Institute, Fujian Medical University, Fuzhou, 350001, China.
| | - Haomin Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xue Yuan Road 1, University Town, 350122, Fuzhou, China.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden.
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16
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Li X, Li J, Hu Q, Zhang X, Chen F. Association of physical weight statuses defined by body mass index (BMI) with molecular subtypes of premenopausal breast cancer: a systematic review and meta-analysis. Breast Cancer Res Treat 2024; 203:429-447. [PMID: 37882920 DOI: 10.1007/s10549-023-07139-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND AND PURPOSE The association between overweight/obesity and postmenopausal breast cancer has been proven. However, uncertainty exists regarding the association between physical weight statuses and premenopausal breast cancer subtypes. This study aimed to explore the association of body weight statuses with molecular subtypes of premenopausal breast cancer. METHOD A systematic search of Medline, PubMed, Embase, and Web of Science was performed. The Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute (JBI) Critical Appraisal tools were used to evaluate the quality of the literature. STATA and R software were used to analyze the extracted data. RESULT The meta-analysis included 35 observational studies with a total of 41,049 premenopausal breast cancer patients. The study showed that the proportion of underweight patients was 4.8% (95% CI = 3.9-5.8%, P = 0.01), overweight was 29% (95%CI = 27.1-30.9%, P < 0.01), obesity was 17.8% (95% CI = 14.9-21.2%, P < 0.0001), and normal weight was 51.6% (95% CI = 46.7-56.5%, P < 0.0001). The pooled results showed that in comparison to the normal weight group, being physically underweight is related to a 1.44-fold risk (OR = 1.44, 95%CI = 1.28-1.63, P < 0.0001) of HER2 + breast cancer. Overweight is related to a 1.16-fold risk (OR = 1.16, 95%CI = 1.06-1.26, P = 0.002) of TNBC and a 16% lower risk (OR = 0.84, 95%CI = 0.75-0.93, P = 0.001) of ER + breast cancer. When compared to underweight/normal weight populations, both overweight (OR = 0.74, 95%CI = 0.56-0.97, P = 0.032) and obesity (OR = 0.70, 95%CI = 0.50-0.98, P = 0.037) can reduce the risk of ER + PR + breast cancer. CONCLUSION In the premenopausal breast cancer population, the distribution of patients' numbers with different weight statuses was significantly distinct among the various breast cancer subtypes. Additionally, the associations between physical weight statuses and the risk of premenopausal breast cancer subtypes are divergent.
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Affiliation(s)
- Xuchu Li
- Department of Medical, Queen Mary School, Nanchang University, 461 Bayi Avenue, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Jinping Li
- Department of General Medical, People's Hospital of Fu City, Yan'an, 727505, Shaanxi Province, China
| | - Qirui Hu
- College of Food Science, Nanchang University, Nanchang, 330047, Jiangxi Province, China
| | - Xu Zhang
- Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Fang Chen
- College of Food Science, Nanchang University, Nanchang, 330047, Jiangxi Province, China.
- Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
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17
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Abstract
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries (through 2020) and mortality data collected by the National Center for Health Statistics (through 2021). In 2024, 2,001,140 new cancer cases and 611,720 cancer deaths are projected to occur in the United States. Cancer mortality continued to decline through 2021, averting over 4 million deaths since 1991 because of reductions in smoking, earlier detection for some cancers, and improved treatment options in both the adjuvant and metastatic settings. However, these gains are threatened by increasing incidence for 6 of the top 10 cancers. Incidence rates increased during 2015-2019 by 0.6%-1% annually for breast, pancreas, and uterine corpus cancers and by 2%-3% annually for prostate, liver (female), kidney, and human papillomavirus-associated oral cancers and for melanoma. Incidence rates also increased by 1%-2% annually for cervical (ages 30-44 years) and colorectal cancers (ages <55 years) in young adults. Colorectal cancer was the fourth-leading cause of cancer death in both men and women younger than 50 years in the late-1990s but is now first in men and second in women. Progress is also hampered by wide persistent cancer disparities; compared to White people, mortality rates are two-fold higher for prostate, stomach and uterine corpus cancers in Black people and for liver, stomach, and kidney cancers in Native American people. Continued national progress will require increased investment in cancer prevention and access to equitable treatment, especially among American Indian and Alaska Native and Black individuals.
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Affiliation(s)
- Rebecca L Siegel
- Surveillance Research, American Cancer Society, Atlanta, Georgia, USA
| | | | - Ahmedin Jemal
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia, USA
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18
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Alanzi TM, Alzahrani W, Albalawi NS, Allahyani T, Alghamdi A, Al-Zahrani H, Almutairi A, Alzahrani H, Almulhem L, Alanzi N, Al Moarfeg A, Farhah N. Public Awareness of Obesity as a Risk Factor for Cancer in Central Saudi Arabia: Feasibility of ChatGPT as an Educational Intervention. Cureus 2023; 15:e50781. [PMID: 38239542 PMCID: PMC10795720 DOI: 10.7759/cureus.50781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/17/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND While the link between obesity and chronic diseases such as diabetes and cardiovascular disorders is well-documented, there is a growing body of evidence connecting obesity with an increased risk of cancer. However, public awareness of this connection remains limited. STUDY PURPOSE To analyze public awareness of overweight/obesity as a risk factor for cancer and analyze public perceptions on the feasibility of ChatGPT, an artificial intelligence-based conversational agent, as an educational intervention tool. METHODS A mixed-methods approach including deductive quantitative cross-sectional approach to draw precise conclusions based on empirical evidence on public awareness of the link between obesity and cancer; and inductive qualitative approach to interpret public perceptions on using ChatGPT for creating awareness of obesity, cancer and its risk factors was used in this study. Participants included adult residents in Saudi Arabia. A total of 486 individuals and 21 individuals were included in the survey and semi-structured interviews respectively. RESULTS About 65% of the participants are not completely aware of cancer and its risk factors. Significant differences in awareness were observed concerning age groups (p < .0001), socio-economic status (p = .041), and regional distribution (p = .0351). A total of 10 themes were analyzed from the interview data, which included four positive factors (accessibility, personalization, cost-effectiveness, anonymity and privacy, multi-language support) and five negative factors (information inaccuracy, lack of emotional intelligence, dependency and overreliance, data privacy and security, and inability to provide physical support or diagnosis). CONCLUSION This study has underscored the potential of leveraging ChatGPT as a valuable public awareness tool for cancer in Saudi Arabia.
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Affiliation(s)
- Turki M Alanzi
- Department of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, SAU
| | - Wala Alzahrani
- Department of Clinical Nutrition, College of Applied Medical Sciences, King Abdulaziz University, Jeddah, SAU
| | | | - Taif Allahyani
- College of Applied Medical Sciences, Umm Al-Qura University, Makkah, SAU
| | | | - Haneen Al-Zahrani
- Department of Hematology, Armed Forces Hospital at King Abdulaziz Airbase Dhahran, Dhahran, SAU
| | - Awatif Almutairi
- Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Jouf University, Jouf, SAU
| | | | | | - Nouf Alanzi
- Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Jouf University, Jouf, SAU
| | | | - Nesren Farhah
- Department of Health Informatics, College of Health Sciences, Saudi Electronic University, Riyadh, SAU
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19
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Goswami S, Zhang Q, Celik CE, Reich EM, Yilmaz ÖH. Dietary fat and lipid metabolism in the tumor microenvironment. Biochim Biophys Acta Rev Cancer 2023; 1878:188984. [PMID: 37722512 PMCID: PMC10937091 DOI: 10.1016/j.bbcan.2023.188984] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 08/26/2023] [Accepted: 08/28/2023] [Indexed: 09/20/2023]
Abstract
Metabolic reprogramming has been considered a core hallmark of cancer, in which excessive accumulation of lipids promote cancer initiation, progression and metastasis. Lipid metabolism often includes the digestion and absorption of dietary fat, and the ways in which cancer cells utilize lipids are often influenced by the complex interactions within the tumor microenvironment. Among multiple cancer risk factors, obesity has a positive association with multiple cancer types, while diets like calorie restriction and fasting improve health and delay cancer. Impact of these diets on tumorigenesis or cancer prevention are generally studied on cancer cells, despite heterogeneity of the tumor microenvironment. Cancer cells regularly interact with these heterogeneous microenvironmental components, including immune and stromal cells, to promote cancer progression and metastasis, and there is an intricate metabolic crosstalk between these compartments. Here, we focus on discussing fat metabolism and response to dietary fat in the tumor microenvironment, focusing on both immune and stromal components and shedding light on therapeutic strategies surrounding lipid metabolic and signaling pathways.
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Affiliation(s)
- Swagata Goswami
- Department of Biology, The David H. Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Qiming Zhang
- Department of Biology, The David H. Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Cigdem Elif Celik
- Department of Biology, The David H. Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Hacettepe Univ, Canc Inst, Department Basic Oncol, Ankara TR-06100, Turkiye
| | - Ethan M Reich
- Department of Biology, The David H. Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ömer H Yilmaz
- Department of Biology, The David H. Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Massachusetts General Hospital and Beth Israel Deaconness Medical Center and Harvard Medical School, Boston, MA 02114, USA.
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20
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Gremke N, Wagner U, Kalder M, Kostev K. Changes in the incidence of early-onset breast cancer in Germany between 2010 and 2022. Breast Cancer Res Treat 2023; 202:167-172. [PMID: 37518826 PMCID: PMC10504108 DOI: 10.1007/s10549-023-07048-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 05/26/2023] [Indexed: 08/01/2023]
Abstract
PURPOSE The aim of this study was to identify the mean age at which breast cancer (BC) was first diagnosed in 2010 or 2022, and to evaluate whether there were any changes in age groups at first BC diagnosis. METHODS This retrospective cross-sectional study included adult women (18 years or older) who were diagnosed with BC (ICD-10: C50) for the first time in 2010 or 2022 in office-based practices in Germany (in 300 general practices or 95 gynecological practices). We examined the mean age at diagnosis and the percentage of patients in three age groups (18-49, 50-65, and > 65) for both 2010 and 2022. The average age difference between 2010 and 2022 was analyzed using Wilcoxon rank tests, and the proportions of the three age groups were analyzed using chi-squared tests. These analyses were performed separately for patients in general and gynecological practices. RESULTS The mean age at which BC was initially diagnosed in 2022 was found to be significantly greater than that in 2010 for both general practices (66.9 years vs. 64.0 years p < 0.001) and gynecological practices (62.2 years vs. 60.3 years, p < 0.001). Early-onset BC decreased from 15.6 to 12.0% in general practices and from 23.2 to 18.2% in gynecological practices between 2010 and 2022. The proportion of new BC diagnoses in the age group 50-65 increased from 36.6 to 40.9% in gynecological practices, but did not increase in general practices. CONCLUSION The study found that BC was diagnosed at an older age in 2022 than in 2010. In addition, the proportion of early-onset BC cases decreased, while the proportion of cases in the age group 50-65 increased in gynecological practices in Germany.
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Affiliation(s)
- Niklas Gremke
- Department of Gynecology and Obstetrics, University Hospital Marburg, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany.
- Institute of Molecular Oncology, Philipps-University Marburg, Hans-Meerwein-Straße 3, 35043, Marburg, Germany.
| | - Uwe Wagner
- Department of Gynecology and Obstetrics, University Hospital Marburg, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany
| | - Matthias Kalder
- Department of Gynecology and Obstetrics, University Hospital Marburg, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany
| | - Karel Kostev
- Epidemiology, IQVIA, Main Airport Center, Unterschweinstiege 2-14, 60549, Frankfurt, Germany
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21
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Lau HSH, Tan VKM, Tan BKT, Sim Y, Quist J, Thike AA, Tan PH, Pervaiz S, Grigoriadis A, Sabapathy K. Adipose-enriched peri-tumoral stroma, in contrast to myofibroblast-enriched stroma, prognosticates poorer survival in breast cancers. NPJ Breast Cancer 2023; 9:84. [PMID: 37863888 PMCID: PMC10589339 DOI: 10.1038/s41523-023-00590-7] [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: 02/22/2023] [Accepted: 10/02/2023] [Indexed: 10/22/2023] Open
Abstract
Despite our understanding of the genetic basis of intra-tumoral heterogeneity, the role of stromal heterogeneity arising from an altered tumor microenvironment in affecting tumorigenesis is poorly understood. In particular, extensive study on the peri-tumoral stroma in the morphologically normal tissues surrounding the tumor is lacking. Here, we examine the heterogeneity in tumors and peri-tumoral stroma from 8 ER+/PR+/HER2- invasive breast carcinomas, through multi-region transcriptomic profiling by microarray. We describe the regional heterogeneity observed at the intrinsic molecular subtype, pathway enrichment, and cell type composition levels within each tumor and its peri-tumoral region, up to 7 cm from the tumor margins. Moreover, we identify a pro-inflammatory adipose-enriched peri-tumoral subtype which was significantly associated with poorer overall survival in breast cancer patients, in contrast to an adaptive immune cell- and myofibroblast-enriched subtype. These data together suggest that peri-tumoral heterogeneity may be an important determinant of the evolution and treatment of breast cancers.
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Affiliation(s)
- Hannah Si Hui Lau
- Divisions of Cellular & Molecular Research, National Cancer Centre Singapore, Singapore, 168583, Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Veronique Kiak Mien Tan
- Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore
- Department of Breast Surgery, Singapore General Hospital, Singapore, 168753, Singapore
| | - Benita Kiat Tee Tan
- Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore
- Department of Breast Surgery, Singapore General Hospital, Singapore, 168753, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore, 544886, Singapore
| | - Yirong Sim
- Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore
- Department of Breast Surgery, Singapore General Hospital, Singapore, 168753, Singapore
| | - Jelmar Quist
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Aye Aye Thike
- Division of Pathology, Singapore General Hospital, Singapore, 169856, Singapore
| | - Puay Hoon Tan
- Division of Pathology, Singapore General Hospital, Singapore, 169856, Singapore
| | - Shazib Pervaiz
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Anita Grigoriadis
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Kanaga Sabapathy
- Divisions of Cellular & Molecular Research, National Cancer Centre Singapore, Singapore, 168583, Singapore.
- School of Biological Sciences, Nanyang Technological University, Singapore, 637551, Singapore.
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22
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Kehm RD, Lilge L, Walter EJ, White M, Herbstman JB, Perera FP, Miller RL, Terry MB, Tehranifar P. Socioeconomic Status at Birth and Breast Tissue Composition in Adolescence and Adulthood. Cancer Epidemiol Biomarkers Prev 2023; 32:1294-1301. [PMID: 37436425 PMCID: PMC10804240 DOI: 10.1158/1055-9965.epi-23-0444] [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: 04/20/2023] [Revised: 06/15/2023] [Accepted: 07/10/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND Socioeconomic status (SES) at birth is associated with breast cancer risk. Whether this association is driven by changes in breast tissue composition (BTC) prior to adulthood remains unclear. METHODS We used multivariable linear regression models to examine whether SES at birth is associated with BTC in adolescence and adulthood using data from a New York City cohort of daughters (n = 165, 11-20 years) and mothers (n = 160, 29-55 years). We used maternal-reported data on daughters' household income and maternal education at birth, analyzed individually and in combination (SES index). Women also reported their own mothers' education at birth. We used optical spectroscopy to evaluate BTC measures that positively (water content, collagen content, optical index) and negatively (lipid content) correlate with mammographic breast density, a recognized breast cancer risk factor. RESULTS Being in the highest versus lowest category of the SES index was associated with lower lipid content [βadjusted (βadj) = -0.80; 95% confidence interval (CI), -1.30 to -0.31] and higher collagen content (βadj = 0.54; 95% CI, 0.09-0.99) in adolescence. In women with a body mass index (BMI) <30 kg/m2, higher maternal education at birth (≥ vs. < high school degree) was associated with lower lipid content (βadj = -0.57; 95% CI, -0.97 to -0.17), higher water content (βadj = 0.70; 95% CI, 0.26-1.14), and higher optical index (βadj = 0.53; 95% CI, 0.10-0.95). CONCLUSIONS This study supports that SES at birth is associated with BTC in adolescence and adulthood, although the latter association may depend on adult BMI. IMPACT Further research is needed to identify the socially patterned early life factors influencing BTC.
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Affiliation(s)
- Rebecca D Kehm
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA
| | - Lothar Lilge
- Department of Medical Biophysics, University of Toronto, 101 College St, Toronto, ON M5G 0A3, Canada
- Princess Margaret Cancer Centre, University Health Network, 101 College St, Toronto, ON M5G 0A3, Canada
| | - E Jane Walter
- Princess Margaret Cancer Centre, University Health Network, 101 College St, Toronto, ON M5G 0A3, Canada
| | - Melissa White
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA
| | - Julie B Herbstman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Frederica P Perera
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Rachel L Miller
- Division of Clinical Immunology, Department of Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY 10029, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA
| | - Parisa Tehranifar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA
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23
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Dou Y, Chen B, Yu X, Xin Q, Ma D. Dose response relationship between breast cancer and somatotypes during childhood: a systematic review and meta-analysis. Br J Cancer 2023; 129:1432-1441. [PMID: 37550527 PMCID: PMC10628206 DOI: 10.1038/s41416-023-02376-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 07/07/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023] Open
Abstract
OBJECTIVES This study aims to evaluate the relationship between breast cancer and somatotypes during early life by meta-analysis and give the corresponding advice. METHODS Observational studies till April 5, 2021, which explore women with/without breast cancer who used the Stunkard Figure Rating Scale/Sørensen Somatotypes to evaluate their somatotype before 18 years of age and distant breast cancer risk were included. Using random/fixed-effect models, the pooled relative risks (RRs) and 95% confidence intervals (CIs) were estimated. Then a nonlinear dose-response meta-analysis was conducted using restricted cubic spline analysis. RESULTS Six articles involving 15,211 breast cancer patients from 341,905 individuals were included for performing a meta-analysis of early somatotype and breast cancer risk. The pooled results showed that the protection became stronger with the increase of somatotype until it reached 6. The restricted cubic spline model indicated a linear relationship between somatotypes and breast cancer (P-nonlinearity = 0.533). Subgroup analysis of menopausal status showed that increasing somatotype during childhood was increasingly protective against postmenopausal breast cancer from somatotype 3 to somatotype 6, with a 0.887-fold (RR = 0.887, 95% CI: 0.842, 0.934) to 0.759-fold (RR = 0.759, 95% CI: 0.631, 0.913) decreased risk of breast cancer (P-nonlinearity = 0.880), but this association was not found in the population with premenopausal breast cancer (P-nonlinearity = 0.757). When stratified by age, among people younger than 10 years of age, an increase in somatotype was associated with a statistically significant reduction in breast cancer risk. From somatotype 3 to somatotype 6, the risk of breast cancer was reduced by 9.7-27.7% (P-nonlinearity = 0.175). CONCLUSIONS With early-life adiposity, our data support an inverse association with breast cancer risk, especially age less than 10 years and in postmenopausal women. Since girls with overweight likely remain overweight or even develop obesity in adulthood. While adults with overweight and obese are at increased risk of breast cancer and other types of cancer and various chronic diseases. Hence, we recommend that children should maintain a normal or slightly fat somatotype throughout all periods of life.
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Affiliation(s)
- Yuqi Dou
- School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100191, Beijing, China
| | - Botian Chen
- School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100191, Beijing, China
| | - Xue Yu
- School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100191, Beijing, China
| | - Qinghua Xin
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Defu Ma
- School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100191, Beijing, China.
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24
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Dhiman D, Kumar A, Shukla S. Association of preoperative serum adipokines, insulin, and sex steroid hormones with breast cancer risk in the Indian women. Indian J Cancer 2023; 60:548-555. [PMID: 38206077 DOI: 10.4103/ijc.ijc_727_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 03/17/2021] [Indexed: 01/12/2024]
Abstract
BACKGROUND Obesity-related factors such as adipokines, insulin, insulin-like growth factors, and sex steroid hormones have been reported to be involved in breast carcinogenesis. Studies across the world suggest an important, but still controversial, role of obesity in breast cancer risk. This study aims to evaluate the association of obesity-related factors such as adipokines, insulin, insulin resistance, and sex steroid hormones with breast cancer risk in the Indian population. MATERIALS AND METHODS Anthropometric and biochemical measurements were taken in 60 newly diagnosed and histologically confirmed breast cancer patients and 50 healthy controls. Preoperative serum levels of adiponectin, leptin, insulin, estrogen, and testosterone were measured using ELISA (enzyme-linked immunosorbent assay). The data were analyzed and compared. RESULTS The mean serum total cholesterol (T.CHOL) and leptin levels were significantly higher ( P = 0.047), whereas testosterone levels were significantly lower in patients than in controls. Waist circumference (WC) and leptin levels showed a significant positive association with breast cancer risk. Association of serum leptin levels with breast cancer risk persisted after adjusting for age, body mass index (BMI), and WC parameters (odds ratio [ OR ] = 1.042, P = 0.03). Leptin levels positively correlated with WC and triglycerides (TG), whereas insulin and insulin resistance positively correlated with BMI, WC, TG, and T.CHOL ( P < 0.05). Among the tumor characteristics, serum adiponectin showed a positive correlation with lymph node involvement, whereas serum estradiol levels were positively correlated with ER (estrogen receptor) and PR (progesterone receptor) status. CONCLUSION Together, our study supports the association of obesity (WC) with breast cancer risk and also suggests the potential role of leptin as a biomarker for breast cancer risk, independent of obesity.
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Affiliation(s)
- Deepshikha Dhiman
- Lady Hardinge Medical College, New Delhi, India
- Dr. Y.S. Parmar Govt. Medical College, Nahan, Himachal Pradesh, India
| | - Ashish Kumar
- Institute of Biotechnology, HiLIFE, University of Helsinki, Finland
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25
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Cereser B, Yiu A, Tabassum N, Del Bel Belluz L, Zagorac S, Ancheta KRZ, Zhong R, Miere C, Jeffries-Jones AR, Moderau N, Werner B, Stebbing J. The mutational landscape of the adult healthy parous and nulliparous human breast. Nat Commun 2023; 14:5136. [PMID: 37673861 PMCID: PMC10482899 DOI: 10.1038/s41467-023-40608-z] [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: 06/16/2021] [Accepted: 08/03/2023] [Indexed: 09/08/2023] Open
Abstract
The accumulation of somatic mutations in healthy human tissues has been extensively characterized, but the mutational landscape of the healthy breast is still poorly understood. Our analysis of whole-genome sequencing shows that in line with other healthy organs, the healthy breast during the reproduction years accumulates mutations with age, with the rate of accumulation in the epithelium of 15.24 ± 5 mutations/year. Both epithelial and stromal compartments contain mutations in breast-specific driver genes, indicative of subsequent positive selection. Parity- and age-associated differences are evident in the mammary epithelium, partly explaining the observed difference in breast cancer risk amongst women of different childbearing age. Parity is associated with an age-dependent increase in the clone size of mutated epithelial cells, suggesting that older first-time mothers have a higher probability of accumulating oncogenic events in the epithelium compared to younger mothers or nulliparous women. In conclusion, we describe the reference genome of the healthy female human breast during reproductive years and provide evidence of how parity affects the genomic landscape of the mammary gland.
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Grants
- British Heart Foundation
- British Heart Foundation (BHF)
- The work is funded by Action Against Cancer (grants P62625, BC; P66683, NT; P66814, LDDB; P63015, SZ; P71728, NM), UKRI-IBIN (grant P82771, NM), UKRI-OOACTN (grant P91025, NM), British Heart Foundation (grant F36083, AY), Barts Charity Lectureship (grant MGU045, BW).
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Affiliation(s)
- Biancastella Cereser
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK.
| | - Angela Yiu
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Neha Tabassum
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Lisa Del Bel Belluz
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Sladjana Zagorac
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK
- Molecular Oncology Programme, Growth Factors, Nutrients and Cancer Group, Centro Nacional de Investigaciones Oncológicas, Madrid, Spain
| | - Kenneth Russell Zapanta Ancheta
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK
- Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, UK
| | - Rongrong Zhong
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Cristian Miere
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK
| | | | - Nina Moderau
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Benjamin Werner
- Evolutionary Dynamics Group, Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Justin Stebbing
- Cancer Genetics Group, Department of Surgery and Cancer, Imperial College London, London, UK.
- Department of Life Sciences, Anglia Ruskin University (ARU), Cambridge, UK.
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Adams TD, Meeks H, Fraser A, Davidson LE, Holmen J, Newman M, Ibele AR, Playdon M, Hardikar S, Richards N, Hunt SC, Kim J. Long-term cancer outcomes after bariatric surgery. Obesity (Silver Spring) 2023; 31:2386-2397. [PMID: 37605634 PMCID: PMC10449359 DOI: 10.1002/oby.23812] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 04/22/2023] [Indexed: 08/23/2023]
Abstract
OBJECTIVE Obesity is associated with increased cancer risk. Because of the substantial and sustained weight loss following bariatric surgery, postsurgical patients are ideal to study the association of weight loss and cancer. METHODS Retrospectively (1982-2019), 21,837 bariatric surgery patients (surgery, 1982-2018) were matched 1:1 by age, sex, and BMI with a nonsurgical comparison group. Procedures included gastric bypass, gastric banding, sleeve gastrectomy, and duodenal switch. Primary outcomes included cancer incidence and mortality, stratified by obesity- and non-obesity-related cancers, sex, cancer stage, and procedure. RESULTS Bariatric surgery patients had a 25% lower risk of developing any cancers compared with a nonsurgical comparison group (hazard ratio [HR] 0.75; 95% CI 0.69-0.81; p < 0.001). Cancer incidence was lower among female (HR 0.67; 95% CI 0.62-0.74; p < 0.001) but not male surgery patients, with the HR lower for females than for males (p < 0.001). Female surgery patients had a 41% lower risk for obesity-related cancers (i.e., breast, ovarian, uterine, and colon) compared with nonsurgical females (HR 0.59; 95% CI 0.52-0.66; p < 0.001). Cancer mortality was significantly lower after surgery in females (HR 0.53; 95% CI 0.44-0.64; p < 0.001). CONCLUSIONS Bariatric surgery was associated with lower all-cancer and obesity-related cancer incidence among female patients. Cancer mortality was significantly lower among females in the surgical group versus the nonsurgical group.
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Affiliation(s)
- Ted D. Adams
- Intermountain Surgical Specialties/Digestive Health Clinical Program, Intermountain Healthcare, Salt Lake City, Utah, USA
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, Utah, USA
| | - Huong Meeks
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Alison Fraser
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Lance E. Davidson
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
- Department of Exercise Sciences, Brigham Young University, Provo, Utah, USA
| | - John Holmen
- Intermountain Biorepository, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Michael Newman
- University of Utah Health, Data Science Services, Salt Lake City, Utah, USA
| | - Anna R. Ibele
- Division of General Surgery, Department of General Surgery, University of Utah, Salt Lake City, Utah, USA
| | - Mary Playdon
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Sheetal Hardikar
- Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Nathan Richards
- Intermountain Surgical Specialties/Digestive Health Clinical Program, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Steven C. Hunt
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
- Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar
| | - Jaewhan Kim
- Department of Physical Therapy, College of Health, University of Utah, Salt Lake City, Utah, USA
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Abubakar M, Klein A, Fan S, Lawrence S, Mutreja K, Henry JE, Pfeiffer RM, Duggan MA, Gierach GL. Host, reproductive, and lifestyle factors in relation to quantitative histologic metrics of the normal breast. Breast Cancer Res 2023; 25:97. [PMID: 37582731 PMCID: PMC10426057 DOI: 10.1186/s13058-023-01692-7] [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: 05/01/2023] [Accepted: 07/29/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND Emerging data indicate that variations in quantitative epithelial and stromal tissue composition and their relative abundance in benign breast biopsies independently impact risk of future invasive breast cancer. To gain further insights into breast cancer etiopathogenesis, we investigated associations between epidemiological factors and quantitative tissue composition metrics of the normal breast. METHODS The study participants were 4108 healthy women ages 18-75 years who voluntarily donated breast tissue to the US-based Susan G. Komen Tissue Bank (KTB; 2008-2019). Using high-accuracy machine learning algorithms, we quantified the percentage of epithelial, stromal, adipose, and fibroglandular tissue, as well as the proportion of fibroglandular tissue that is epithelium relative to stroma (i.e., epithelium-to-stroma proportion, ESP) on digitized hematoxylin and eosin (H&E)-stained normal breast biopsy specimens. Data on epidemiological factors were obtained from participants using a detailed questionnaire administered at the time of tissue donation. Associations between epidemiological factors and square root transformed tissue metrics were investigated using multivariable linear regression models. RESULTS With increasing age, the amount of stromal, epithelial, and fibroglandular tissue declined and adipose tissue increased, while that of ESP demonstrated a bimodal pattern. Several epidemiological factors were associated with individual tissue composition metrics, impacting ESP as a result. Compared with premenopausal women, postmenopausal women had lower ESP [β (95% Confidence Interval (CI)) = -0.28 (- 0.43, - 0.13); P < 0.001] with ESP peaks at 30-40 years and 60-70 years among pre- and postmenopausal women, respectively. Pregnancy [β (95%CI) vs nulligravid = 0.19 (0.08, 0.30); P < 0.001] and increasing number of live births (P-trend < 0.001) were positively associated with ESP, while breastfeeding was inversely associated with ESP [β (95%CI) vs no breastfeeding = -0.15 (- 0.29, - 0.01); P = 0.036]. A positive family history of breast cancer (FHBC) [β (95%CI) vs no FHBC = 0.14 (0.02-0.26); P = 0.02], being overweight or obese [β (95%CI) vs normal weight = 0.18 (0.06-0.30); P = 0.004 and 0.32 (0.21-0.44); P < 0.001, respectively], and Black race [β (95%CI) vs White = 0.12 (- 0.005, 0.25); P = 0.06] were positively associated with ESP. CONCLUSION Our findings revealed that cumulative exposure to etiological factors over the lifespan impacts normal breast tissue composition metrics, individually or jointly, to alter their dynamic equilibrium, with potential implications for breast cancer susceptibility and tumor etiologic heterogeneity.
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Affiliation(s)
- Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA.
| | - Alyssa Klein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Scott Lawrence
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD, 21702, USA
| | - Karun Mutreja
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD, 21702, USA
| | - Jill E Henry
- Biospecimen Collection and Banking Core, Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Maire A Duggan
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, T2N2Y9, Canada
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
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Glassman I, Le N, Asif A, Goulding A, Alcantara CA, Vu A, Chorbajian A, Mirhosseini M, Singh M, Venketaraman V. The Role of Obesity in Breast Cancer Pathogenesis. Cells 2023; 12:2061. [PMID: 37626871 PMCID: PMC10453206 DOI: 10.3390/cells12162061] [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: 05/22/2023] [Revised: 08/03/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023] Open
Abstract
Research has shown that obesity increases the risk for type 2 diabetes mellitus (Type 2 DM) by promoting insulin resistance, increases serum estrogen levels by the upregulation of aromatase, and promotes the release of reactive oxygen species (ROS) by macrophages. Increased circulating glucose has been shown to activate mammalian target of rapamycin (mTOR), a significant signaling pathway in breast cancer pathogenesis. Estrogen plays an instrumental role in estrogen-receptor-positive breast cancers. The role of ROS in breast cancer warrants continued investigation, in relation to both pathogenesis and treatment of breast cancer. We aim to review the role of obesity in breast cancer pathogenesis and novel therapies mediating obesity-associated breast cancer development. We explore the association between body mass index (BMI) and breast cancer incidence and the mechanisms by which oxidative stress modulates breast cancer pathogenesis. We discuss the role of glutathione, a ubiquitous antioxidant, in breast cancer therapy. Lastly, we review breast cancer therapies targeting mTOR signaling, leptin signaling, blood sugar reduction, and novel immunotherapy targets.
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Affiliation(s)
- Ira Glassman
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
| | - Nghia Le
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
| | - Aamna Asif
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
| | - Anabel Goulding
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
| | - Cheldon Ann Alcantara
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
| | - Annie Vu
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
| | - Abraham Chorbajian
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
| | - Mercedeh Mirhosseini
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
| | - Manpreet Singh
- Corona Regional Medical Center, Department of Emergency Medicine, Corona, CA 92882, USA
| | - Vishwanath Venketaraman
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA (N.L.); (A.A.); (C.A.A.); (M.M.)
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29
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Wang H, van der Velden BHM, Verburg E, Bakker MF, Pijnappel RM, Veldhuis WB, van Gils CH, Gilhuijs KGA. Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts. Radiology 2023; 308:e222841. [PMID: 37552061 DOI: 10.1148/radiol.222841] [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: 08/09/2023]
Abstract
Background Automated identification of quantitative breast parenchymal enhancement features on dynamic contrast-enhanced (DCE) MRI scans could provide added value in assessment of breast cancer risk in women with extremely dense breasts. Purpose To automatically identify quantitative properties of the breast parenchyma on baseline DCE MRI scans and assess their association with breast cancer occurrence in women with extremely dense breasts. Materials and Methods This study represents a secondary analysis of the Dense Tissue and Early Breast Neoplasm Screening trial. MRI was performed in eight hospitals between December 2011 and January 2016. After segmentation of fibroglandular tissue, quantitative features (including volumetric density, volumetric morphology, and enhancement characteristics) of the parenchyma were extracted from baseline MRI scans. Principal component analysis was used to identify parenchymal measures with the greatest variance. Multivariable Cox proportional hazards regression was applied to assess the association between breast cancer occurrence and quantitative parenchymal features, followed by stratification of significant features into tertiles. Results A total of 4553 women (mean age, 55.7 years ± 6 [SD]) with extremely dense breasts were included; of these women, 122 (3%) were diagnosed with breast cancer. Five principal components representing 96% of the variance were identified, and the component explaining the greatest independent variance (42%) consisted of MRI features relating to volume of enhancing parenchyma. Multivariable analysis showed that volume of enhancing parenchyma was associated with breast cancer occurrence (hazard ratio [HR], 1.09; 95% CI: 1.01, 1.18; P = .02). Additionally, women in the high tertile of volume of enhancing parenchyma showed a breast cancer occurrence twice that of women in the low tertile (HR, 2.09; 95% CI: 1.25, 3.61; P = .005). Conclusion In women with extremely dense breasts, a high volume of enhancing parenchyma on baseline DCE MRI scans was associated with increased occurrence of breast cancer as compared with a low volume of enhancing parenchyma. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Grimm in this issue.
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Affiliation(s)
- Hui Wang
- From the Image Sciences Institute (H.W., B.H.M.v.d.V., E.V., K.G.A.G.), Julius Center for Health Sciences and Primary Care (M.F.B., C.H.v.G.), and Department of Radiology (R.M.P., W.B.V.), University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Bas H M van der Velden
- From the Image Sciences Institute (H.W., B.H.M.v.d.V., E.V., K.G.A.G.), Julius Center for Health Sciences and Primary Care (M.F.B., C.H.v.G.), and Department of Radiology (R.M.P., W.B.V.), University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Erik Verburg
- From the Image Sciences Institute (H.W., B.H.M.v.d.V., E.V., K.G.A.G.), Julius Center for Health Sciences and Primary Care (M.F.B., C.H.v.G.), and Department of Radiology (R.M.P., W.B.V.), University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Marije F Bakker
- From the Image Sciences Institute (H.W., B.H.M.v.d.V., E.V., K.G.A.G.), Julius Center for Health Sciences and Primary Care (M.F.B., C.H.v.G.), and Department of Radiology (R.M.P., W.B.V.), University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Ruud M Pijnappel
- From the Image Sciences Institute (H.W., B.H.M.v.d.V., E.V., K.G.A.G.), Julius Center for Health Sciences and Primary Care (M.F.B., C.H.v.G.), and Department of Radiology (R.M.P., W.B.V.), University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Wouter B Veldhuis
- From the Image Sciences Institute (H.W., B.H.M.v.d.V., E.V., K.G.A.G.), Julius Center for Health Sciences and Primary Care (M.F.B., C.H.v.G.), and Department of Radiology (R.M.P., W.B.V.), University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Carla H van Gils
- From the Image Sciences Institute (H.W., B.H.M.v.d.V., E.V., K.G.A.G.), Julius Center for Health Sciences and Primary Care (M.F.B., C.H.v.G.), and Department of Radiology (R.M.P., W.B.V.), University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Kenneth G A Gilhuijs
- From the Image Sciences Institute (H.W., B.H.M.v.d.V., E.V., K.G.A.G.), Julius Center for Health Sciences and Primary Care (M.F.B., C.H.v.G.), and Department of Radiology (R.M.P., W.B.V.), University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
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Dehesh T, Fadaghi S, Seyedi M, Abolhadi E, Ilaghi M, Shams P, Ajam F, Mosleh-Shirazi MA, Dehesh P. The relation between obesity and breast cancer risk in women by considering menstruation status and geographical variations: a systematic review and meta-analysis. BMC Womens Health 2023; 23:392. [PMID: 37496015 PMCID: PMC10373406 DOI: 10.1186/s12905-023-02543-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/13/2023] [Indexed: 07/28/2023] Open
Abstract
Given the increase in the incidence of breast cancer during the past decades, several studies have investigated the effects of variables on breast cancer, especially obesity. This systematic review and meta-analysis aims to evaluate any effects of obesity on breast cancer risk in women, before and after menopause, and in different continents.All forms of relevant literature examining any association between obesity and breast cancer, including cohort, case-control, and cross-sectional studies, were identified in the PubMed, Scopus, EMBASE, and Web of Science databases from January 1, 1990 until January 13, 2023. Body mass index (BMI) > 30 was used to indicate obesity. Every type of breast cancer was examined as outcome factors. The quality of the papers was evaluated using the Newcastle-Ottawa scale checklist. The Egger and Begg test was used to evaluate publication bias. To assess any extra impact of each research on the final measurement, a sensitivity analysis was carried out.One hundred and two studies were included in this meta-analysis. Respectively, 48 and 67 studies reported associations between obesity and breast cancer in pre and post menopausal women. Combining all studies, the pooled OR of the association between obesity and breast cancer in pre-menopausal women was OR = 0.93 CI: (0.85-1.1), (I2 = 65.4%), and for post-menopausal woman, OR = 1.26 CI: (1.19-1.34), (I2 = 90.5%).Obesity has a protective role in breast cancer among pre-menopausal women, but this relationship is statistically significant only in European women. The chance of developing breast cancer increases in post-menopausal women who are obese. This relationship is significant among Asian, North American, African and European women.
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Affiliation(s)
- Tania Dehesh
- Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
- Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Shohreh Fadaghi
- Department of Immunology, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Mehrnaz Seyedi
- Department of Health of Management and Medical Information Sciencese, Kerman University of Medical Sciences, Kerman, Iran
| | - Elham Abolhadi
- Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Mehran Ilaghi
- Institute of Neuropharmacology, Kerman Neuroscience Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Parisa Shams
- Department of Anatomical Sciences, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Ajam
- Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Mohammad Amin Mosleh-Shirazi
- Ionizing and Non-Ionizing Radiation Protection Research Center (INIRPRC), School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Radio-Oncology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Paria Dehesh
- Department of Epidemiology, School of Public Health, University of Medical Sciences, Tehran, Iran.
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31
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Kast K, John EM, Hopper JL, Andrieu N, Noguès C, Mouret-Fourme E, Lasset C, Fricker JP, Berthet P, Mari V, Salle L, Schmidt MK, Ausems MGEM, Garcia EBG, van de Beek I, Wevers MR, Evans DG, Tischkowitz M, Lalloo F, Cook J, Izatt L, Tripathi V, Snape K, Musgrave H, Sharif S, Murray J, Colonna SV, Andrulis IL, Daly MB, Southey MC, de la Hoya M, Osorio A, Foretova L, Berkova D, Gerdes AM, Olah E, Jakubowska A, Singer CF, Tan Y, Augustinsson A, Rantala J, Simard J, Schmutzler RK, Milne RL, Phillips KA, Terry MB, Goldgar D, van Leeuwen FE, Mooij TM, Antoniou AC, Easton DF, Rookus MA, Engel C. Associations of height, body mass index, and weight gain with breast cancer risk in carriers of a pathogenic variant in BRCA1 or BRCA2: the BRCA1 and BRCA2 Cohort Consortium. Breast Cancer Res 2023; 25:72. [PMID: 37340476 PMCID: PMC10280955 DOI: 10.1186/s13058-023-01673-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 06/10/2023] [Indexed: 06/22/2023] Open
Abstract
INTRODUCTION Height, body mass index (BMI), and weight gain are associated with breast cancer risk in the general population. It is unclear whether these associations also exist for carriers of pathogenic variants in the BRCA1 or BRCA2 genes. PATIENTS AND METHODS An international pooled cohort of 8091 BRCA1/2 variant carriers was used for retrospective and prospective analyses separately for premenopausal and postmenopausal women. Cox regression was used to estimate breast cancer risk associations with height, BMI, and weight change. RESULTS In the retrospective analysis, taller height was associated with risk of premenopausal breast cancer for BRCA2 variant carriers (HR 1.20 per 10 cm increase, 95% CI 1.04-1.38). Higher young-adult BMI was associated with lower premenopausal breast cancer risk for both BRCA1 (HR 0.75 per 5 kg/m2, 95% CI 0.66-0.84) and BRCA2 (HR 0.76, 95% CI 0.65-0.89) variant carriers in the retrospective analysis, with consistent, though not statistically significant, findings from the prospective analysis. In the prospective analysis, higher BMI and adult weight gain were associated with higher postmenopausal breast cancer risk for BRCA1 carriers (HR 1.20 per 5 kg/m2, 95% CI 1.02-1.42; and HR 1.10 per 5 kg weight gain, 95% CI 1.01-1.19, respectively). CONCLUSION Anthropometric measures are associated with breast cancer risk for BRCA1 and BRCA2 variant carriers, with relative risk estimates that are generally consistent with those for women from the general population.
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Affiliation(s)
- Karin Kast
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
| | - Esther M John
- Department of Epidemiology & Population Health and of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Nadine Andrieu
- INSERM U900, Paris, France
- Institut Curie, Paris, France
- Mines Paris Tech, Fontainebleau, France
- PSL Research University, Paris, France
| | - Catherine Noguès
- Aix Marseille Université, INSERM, IRD, SESSTIM, Marseille, France
- Département d'Anticipation et de Suivi Des Cancers, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France
| | | | | | | | | | | | - Lucie Salle
- Oncogénétique Poitou-Charentes, Niort, France
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Margreet G E M Ausems
- Department of Genetics, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Irma van de Beek
- Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marijke R Wevers
- Department of Clinical Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - D Gareth Evans
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Manchester Breast Centre, Oglesby Cancer Research Centre, The Christie, University of Manchester, Manchester, UK
| | - Marc Tischkowitz
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Fiona Lalloo
- Clinical Genetics Service, Manchester Centre for Genomic Medicine, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Jackie Cook
- Sheffield Clinical Genetics Service, Sheffield Children's Hospital, Sheffield, UK
| | - Louise Izatt
- Department of Clinical Genetics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Vishakha Tripathi
- Clinical Genetics Service, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Katie Snape
- Department of Clinical Genetics, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Hannah Musgrave
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Saba Sharif
- West Midlands Regional Genetics Service, Birmingham Women's Hospital Healthcare NHS Trust, Edgbaston, Birmingham, UK
| | - Jennie Murray
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- West Midlands Regional Genetics Service, Birmingham Women's Hospital Healthcare NHS Trust, Edgbaston, Birmingham, UK
- South East of Scotland Regional Genetics Service, Western General Hospital, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Sarah V Colonna
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at, Monash Health Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Miguel de la Hoya
- Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Ana Osorio
- Familial Cancer Clinical Unit, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO) and Spanish Network On Rare Diseases (CIBERER), Madrid, Spain
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Dita Berkova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Anne-Marie Gerdes
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Christian F Singer
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Yen Tan
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Annelie Augustinsson
- Department of Oncology, Clinical Sciences in Lund, Lund University Hospital, Lund, Sweden
| | | | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec-Université Laval Research Center, Quebec City, QC, Canada
| | - Rita K Schmutzler
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Kelly-Anne Phillips
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health and the Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - David Goldgar
- Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Flora E van Leeuwen
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Thea M Mooij
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Matti A Rookus
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
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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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Kuziel G, Moore BN, Arendt LM. Obesity and Fibrosis: Setting the Stage for Breast Cancer. Cancers (Basel) 2023; 15:cancers15112929. [PMID: 37296891 DOI: 10.3390/cancers15112929] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
Obesity is a rising health concern and is linked to a worsened breast cancer prognosis. Tumor desmoplasia, which is characterized by elevated numbers of cancer-associated fibroblasts and the deposition of fibrillar collagens within the stroma, may contribute to the aggressive clinical behavior of breast cancer in obesity. A major component of the breast is adipose tissue, and fibrotic changes in adipose tissue due to obesity may contribute to breast cancer development and the biology of the resulting tumors. Adipose tissue fibrosis is a consequence of obesity that has multiple sources. Adipocytes and adipose-derived stromal cells secrete extracellular matrix composed of collagen family members and matricellular proteins that are altered by obesity. Adipose tissue also becomes a site of chronic, macrophage-driven inflammation. Macrophages exist as a diverse population within obese adipose tissue and mediate the development of fibrosis through the secretion of growth factors and matricellular proteins and interactions with other stromal cells. While weight loss is recommended to resolve obesity, the long-term effects of weight loss on adipose tissue fibrosis and inflammation within breast tissue are less clear. Increased fibrosis within breast tissue may increase the risk for tumor development as well as promote characteristics associated with tumor aggressiveness.
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Affiliation(s)
- Genevra Kuziel
- Cancer Biology Graduate Program, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705, USA
| | - Brittney N Moore
- Department of Comparative Biosciences, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI 53706, USA
| | - Lisa M Arendt
- Cancer Biology Graduate Program, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705, USA
- Department of Comparative Biosciences, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI 53706, USA
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Tran TXM, Kim S, Park B. Changes in metabolic syndrome and the risk of breast and endometrial cancer according to menopause in Korean women. Epidemiol Health 2023; 45:e2023049. [PMID: 37139668 PMCID: PMC10593591 DOI: 10.4178/epih.e2023049] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/12/2023] [Indexed: 05/05/2023] Open
Abstract
OBJECTIVES This study investigated how changes in metabolic syndrome (MetS) are associated with the subsequent risk of breast and endometrial cancer according to menopausal status. METHODS This cohort study, using data from the National Health Insurance Service database, included women aged ≥40 years who underwent 2 biennial cancer screenings (2009-2010 and 2011-2012) and were followed up until 2020. Participants were grouped into MetS-free, MetS-recovery, MetS-development, and MetS-persistent groups. Menopausal status (premenopausal, perimenopausal, and postmenopausal) was assessed at 2 screenings. Cox proportional hazard regression was used to assess the association between MetS changes and cancer risk. RESULTS In 3,031,980 women, breast and endometrial cancers were detected in 39,184 and 4,298, respectively. Compared with the MetS-free group, those who recovered, developed, or had persistent MetS showed an increased risk of breast cancer, with adjusted hazard ratios (aHRs) of 1.05, 1.05, and 1.11, respectively (p<0.005). MetS persistence was associated with an increased risk of breast cancer in postmenopausal women (aHR, 1.12, 95% confidence interval [CI], 1.08 to 1.16) but not in premenopausal or perimenopausal women. MetS persistence was associated with an increased risk of endometrial cancer in premenopausal, perimenopausal, and postmenopausal women, with aHRs of 1.41 (95% CI, 1.17 to 1.70), 1.59 (95% CI, 1.19 to 2.12), and 1.47 (95% CI, 1.32 to 1.63), respectively. CONCLUSIONS Increased breast cancer risk was associated with recovered, developed, and persistent MetS in postmenopausal women. Meanwhile, increased endometrial cancer risk was found in obese women who recovered from MetS or persistently had MetS, regardless of menopausal status, when compared to MetS-free women.
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Affiliation(s)
- Thi Xuan Mai Tran
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
- Institute for Health and Society, Hanyang University, Seoul, Korea
| | - Soyeoun Kim
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
- Institute for Health and Society, Hanyang University, Seoul, Korea
| | - Boyoung Park
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
- Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, Korea
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Lee PJ, Jhuang JR, Chen YC, Su SY, Chiang CJ, Yang YW, Hsieh PC, Chen MJ, Lee WC. Urban-Rural Disparity in Birth Cohort Effects on Breast Cancer Incidence. J Urban Health 2023; 100:341-354. [PMID: 36781812 PMCID: PMC10160333 DOI: 10.1007/s11524-023-00718-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/18/2023] [Indexed: 02/15/2023]
Abstract
Breast cancer is the most commonly diagnosed cancer among women worldwide. Studies have reported minimal birth cohort effects on the incidence rates of breast cancer in Western countries but have reported notable birth cohort effects in some Asian countries. The risks of breast cancer may also vary within a country. In the present study, we abstracted female invasive breast cancer data from the Taiwan Cancer Registry for the period 1997-2016. We used the age-period-cohort model to compare birth cohort effects on breast cancer incidence rates between urban and rural regions in Taiwan. We identified a notable urban-rural disparity in birth cohort effects on breast cancer incidence rates in women in Taiwan. The incidence rates in the urban regions were higher than those in the rural regions across all cohorts. However, the incidence rates rose faster in the rural regions than in the urban regions across the cohorts. The risks of breast cancer observed for women born in 1992 were approximately 22 and 11 times than those observed for women born in 1917 in rural and urban regions, respectively. The observed gap in breast cancer incidence rates between the urban and rural regions gradually disappeared across the cohorts. Accordingly, we speculate that urbanization and westernization in Taiwan may be the drivers of female breast cancer incidence rates across birth cohorts.
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Affiliation(s)
- Peng-Jhen Lee
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Xuzhou Rd, Rm. 536, No. 17, Taipei, 100, Taiwan
| | - Jing-Rong Jhuang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Xuzhou Rd, Rm. 536, No. 17, Taipei, 100, Taiwan
- Taiwan Cancer Registry, Taipei, Taiwan
| | - Yi-Chu Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Xuzhou Rd, Rm. 536, No. 17, Taipei, 100, Taiwan
| | - Shih-Yung Su
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Xuzhou Rd, Rm. 536, No. 17, Taipei, 100, Taiwan
- Master Program in Statistics, National Taiwan University, Taipei, Taiwan
| | - Chun-Ju Chiang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Xuzhou Rd, Rm. 536, No. 17, Taipei, 100, Taiwan
- Taiwan Cancer Registry, Taipei, Taiwan
| | - Ya-Wen Yang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Xuzhou Rd, Rm. 536, No. 17, Taipei, 100, Taiwan
- Taiwan Cancer Registry, Taipei, Taiwan
| | - Pei-Chun Hsieh
- Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan
| | - Mei-Ju Chen
- Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan
| | - Wen-Chung Lee
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Xuzhou Rd, Rm. 536, No. 17, Taipei, 100, Taiwan.
- Taiwan Cancer Registry, Taipei, Taiwan.
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Zhu JW, Charkhchi P, Adekunte S, Akbari MR. What Is Known about Breast Cancer in Young Women? Cancers (Basel) 2023; 15:cancers15061917. [PMID: 36980802 PMCID: PMC10047861 DOI: 10.3390/cancers15061917] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/17/2023] [Accepted: 03/20/2023] [Indexed: 03/30/2023] Open
Abstract
Breast cancer (BC) is the second leading cause of cancer-related death in women under the age of 40 years worldwide. In addition, the incidence of breast cancer in young women (BCYW) has been rising. Young women are not the focus of screening programs and BC in younger women tends to be diagnosed in more advanced stages. Such patients have worse clinical outcomes and treatment complications compared to older patients. BCYW has been associated with distinct tumour biology that confers a worse prognosis, including poor tumour differentiation, increased Ki-67 expression, and more hormone-receptor negative tumours compared to women >50 years of age. Pathogenic variants in cancer predisposition genes such as BRCA1/2 are more common in early-onset BC compared to late-onset BC. Despite all these differences, BCYW remains poorly understood with a gap in research regarding the risk factors, diagnosis, prognosis, and treatment. Age-specific clinical characteristics or outcomes data for young women are lacking, and most of the standard treatments used in this subpopulation currently are derived from older patients. More age-specific clinical data and treatment options are required. In this review, we discuss the epidemiology, clinicopathologic characteristics, outcomes, treatments, and special considerations of breast cancer in young women. We also underline future directions and highlight areas that require more attention in future studies.
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Affiliation(s)
- Jie Wei Zhu
- Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON M5G 2C4, Canada
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Parsa Charkhchi
- Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON M5G 2C4, Canada
| | - Shadia Adekunte
- Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON M5G 2C4, Canada
| | - Mohammad R Akbari
- Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON M5G 2C4, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
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Cao Y, Xia B, Zhang Z, Hu D, Huang X, Yuan J, Li F. Association of Body Fat Distribution and Risk of Breast Cancer in Pre- and Postmenopausal Women. Obes Facts 2023; 16:356-363. [PMID: 36882014 PMCID: PMC10444009 DOI: 10.1159/000529834] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 02/17/2023] [Indexed: 03/09/2023] Open
Abstract
INTRODUCTION Obesity is a risk factor for both the development of and mortality from breast cancer in postmenopausal but not in premenopausal women. However, which part of the fat mass is associated with risk remains unclear, and whether the difference in the risk for breast cancer is associated with discrepancy in the distribution of fat with menstrual status requires further study. METHODS A dataset from the UK Biobank, which included 245,009 female participants and 5,402 females who developed breast cancer during a mean follow-up of 6.6 years, was analyzed. Body fat mass was measured according to bioelectrical impedance at baseline by trained technicians. Age- and multivariable-adjusted hazard ratios and corresponding 95% confidence intervals for associations between body fat distribution and the risk for breast cancer were estimated using Cox proportional-hazards regression. Height, age, education level, ethnicity, index of multiple deprivation, alcohol intake, smoking, physical activity, fruit consumption, age at menarche, age at first birth, number of births, hormone replacement therapy, family history of breast cancer, hysterectomy, and ovariotomy were adjusted for potential confounders. RESULTS Fat distribution differed between pre- and postmenopausal women. After menopause, there was an increase in fat mass in different body segments (arms, legs, and trunk). After age- and multivariable adjustment, fat mass in different segments, BMI, and waist circumference were significantly associated with the risk for breast cancer among postmenopausal but not premenopausal women. CONCLUSION Postmenopausal women exhibited more fat in different body segments, which are associated with increased risk for breast cancer, compared to premenopausal women. Fat mass control throughout the body may be beneficial in mitigating the risk for breast cancer and was not limited to abdominal fat alone among postmenopausal women.
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Affiliation(s)
- Yang Cao
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Bin Xia
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Zhen Zhang
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Dan Hu
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Xinwei Huang
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Fangping Li
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
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Ihenacho U, McKinley MA, Vu A, Hernandez BY, Loo LWM, Gomez SL, Wu AH, Cheng I. Characterizing breast cancer incidence and trends among Asian American, Native Hawaiian, and non-Hispanic White women in Hawai'i, 1990-2014. Cancer Causes Control 2023; 34:241-249. [PMID: 36504334 PMCID: PMC10441590 DOI: 10.1007/s10552-022-01659-7] [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: 08/16/2022] [Accepted: 12/01/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE To characterize breast cancer (BC) incidence by age at diagnosis and BC subtype among disaggregated Asian American, Native Hawaiian, and Pacific Islander (AANHPI) women and non-Hispanic White (NHW) women in Hawai'i. METHODS Using 1990-2014 data from the Hawai'i tumor registry, we estimated age-adjusted incidence rates (AAIR) of BC and the annual percent change in BC incidence by age (<50 and ≥50 years) and BC subtype (hormone receptor [HR]+/human epidermal growth factor receptor 2 [HER2]-, HR+/HER2+, HR-/HER2+, triple negative BC) for Filipino American (FA), Japanese American (JA), Native Hawaiian (NH), and NHW women. RESULTS Among young (<50 years) women, annual BC incidence increased 2.9% (1994-2014) among JA and 1.0% (1990-2014) among NHW women. Incidence was highest among young JA women (2010-2014 AAIR 52.0 per 100,000; 95% confidence interval [CI] 45.6, 58.9). HR+/HER2- BC, the major BC subtype, was similarly highest among young JA women (AAIR 39.5; 95% CI 33.9, 45.4). Among older (≥50 years) women, annual BC incidence increased 1.6% (1990-2014) among FA and 4.2% (2006-2014) for JA women. BC incidence was highest among older NH women (AAIR 137.6, 95% CI 128.2, 147.4), who also displayed highest incidence of two subtypes: HR+/HER2- (AAIR 106.9; 95% CI 98.6, 115.5) and HR+/HER2+ (AAIR 12.1; 95% CI 9.4, 15.1). CONCLUSION We observed high and increasing BC incidence among JA women ages <50 years and high incidence among NH women ages ≥50 years. These results highlight racial and ethnic differences in BC incidence among disaggregated AANHPI populations in Hawai'i by age and BC subtype.
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Affiliation(s)
- Ugonna Ihenacho
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Meg A McKinley
- Greater Bay Area Cancer Registry, University of California San Francisco, San Francisco, CA, USA
| | - Annie Vu
- Greater Bay Area Cancer Registry, University of California San Francisco, San Francisco, CA, USA
| | - Brenda Y Hernandez
- Population Sciences in the Pacific Program-Cancer Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Lenora W M Loo
- Cancer Biology Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Scarlett Lin Gomez
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
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Zavala VA, Casavilca-Zambrano S, Navarro-Vásquez J, Tamayo LI, Castañeda CA, Valencia G, Morante Z, Calderón M, Abugattas JE, Gómez HL, Fuentes HA, Liendo-Picoaga R, Cotrina JM, Neciosup SP, Roque K, Vásquez J, Mas L, Gálvez-Nino M, Fejerman L, Vidaurre T. Breast cancer subtype and clinical characteristics in women from Peru. Front Oncol 2023; 13:938042. [PMID: 36925912 PMCID: PMC10013058 DOI: 10.3389/fonc.2023.938042] [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: 05/06/2022] [Accepted: 01/30/2023] [Indexed: 02/18/2023] Open
Abstract
Introduction Breast cancer is a heterogeneous disease, and the distribution of the different subtypes varies by race/ethnic category in the United States and by country. Established breast cancer-associated factors impact subtype-specific risk; however, these included limited or no representation of Latin American diversity. To address this gap in knowledge, we report a description of demographic, reproductive, and lifestyle breast cancer-associated factors by age at diagnosis and disease subtype for The Peruvian Genetics and Genomics of Breast Cancer (PEGEN-BC) study. Methods The PEGEN-BC study is a hospital-based breast cancer cohort that includes 1943 patients diagnosed at the Instituto Nacional de Enfermedades Neoplásicas in Lima, Peru. Demographic and reproductive information, as well as lifestyle exposures, were collected with a questionnaire. Clinical data, including tumor Hormone Receptor (HR) status and Human Epidermal Growth Factor Receptor 2 (HER2) status, were abstracted from electronic medical records. Differences in proportions and mean values were tested using Chi-squared and one-way ANOVA tests, respectively. Multinomial logistic regression models were used for multivariate association analyses. Results The distribution of subtypes was 52% HR+HER2-, 19% HR+HER2+, 16% HR-HER2-, and 13% HR-HER2+. Indigenous American (IA) genetic ancestry was higher, and height was lower among individuals with the HR-HER2+ subtype (80% IA vs. 76% overall, p=0.007; 152 cm vs. 153 cm overall, p=0.032, respectively). In multivariate models, IA ancestry was associated with HR-HER2+ subtype (OR=1.38,95%CI=1.06-1.79, p=0.017) and parous women showed increased risk for HR-HER2+ (OR=2.7,95%CI=1.5-4.8, p<0.001) and HR-HER2- tumors (OR=2.4,95%CI=1.5-4.0, p<0.001) compared to nulliparous women. Multiple patient and tumor characteristics differed by age at diagnosis (<50 vs. >=50), including ancestry, region of residence, family history, height, BMI, breastfeeding, parity, and stage at diagnosis (p<0.02 for all variables). Discussion The characteristics of the PEGEN-BC study participants do not suggest heterogeneity by tumor subtype except for IA genetic ancestry proportion, which has been previously reported. Differences by age at diagnosis were apparent and concordant with what is known about pre- and post-menopausal-specific disease risk factors. Additional studies in Peru should be developed to further understand the main contributors to the specific age of onset and molecular disease subtypes in this population and develop population-appropriate predictive models for prevention.
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Affiliation(s)
- Valentina A. Zavala
- Department of Public Health Sciences, University of California, Davis, Davis, CA, United States
| | | | | | - Lizeth I. Tamayo
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States
| | - Carlos A. Castañeda
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Guillermo Valencia
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Zaida Morante
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Mónica Calderón
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Julio E. Abugattas
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Cirugía de Mamas y tumores Blandos, Lima, Peru
| | - Henry L. Gómez
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Hugo A. Fuentes
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | | | - Jose M. Cotrina
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Cirugía de Mamas y tumores Blandos, Lima, Peru
| | - Silvia P. Neciosup
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Katia Roque
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Jule Vásquez
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Luis Mas
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Marco Gálvez-Nino
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Laura Fejerman
- Department of Public Health Sciences, University of California, Davis, Davis, CA, United States
- University of California Davis Comprehensive Cancer Center, University of California, Davis, Davis, CA, United States
| | - Tatiana Vidaurre
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
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Tran TXM, Kim S, Song H, Lee E, Park B. Association of Longitudinal Mammographic Breast Density Changes with Subsequent Breast Cancer Risk. Radiology 2023; 306:e220291. [PMID: 36125380 DOI: 10.1148/radiol.220291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Background Although Breast Imaging Reporting and Data System (BI-RADS) density classification has been used to assess future breast cancer risk, its reliability and validity are still debated in literature. Purpose To determine the association between overall longitudinal changes in mammographic breast density and breast cancer risk stratified by menopausal status. Materials and Methods In a retrospective cohort study using the Korean National Health Insurance Service database, women aged at least 40 years without a history of cancer who underwent three consecutive biennial mammographic screenings in 2009-2014 were followed up through December 2020. Participants were divided according to baseline breast density: fatty (BI-RADS categories a, b) versus dense (BI-RADS categories c, d) and then into subgroups on the basis of changes from the first to second and from second to third screenings. Women without change in breast density were used as the reference group. Main outcomes were incident breast cancer events, both invasive breast cancer and ductal carcinoma in situ. Cox proportion hazard regression was used to calculate the hazard ratio (HR) with adjustment for other covariables. Results Among 2 253 963 women (mean age, 59 years ± 9) there were 22 439 detected breast cancers. Premenopausal women with fatty breasts at the first screening had a higher risk of breast cancer as density increased in the second and third screenings (fatty-to-dense HR, 1.45 [95% CI: 1.27, 1.65]; dense-to-fatty HR, 1.53 [95% CI: 1.34, 1.74]; dense-to-dense HR, 1.93 [95% CI: 1.75, 2.13]). In premenopausal women with dense breasts at baseline, those in whom density continuously decreased had a 0.62-fold lower risk (95% CI: 0.56, 0.69). Similar results were observed in postmenopausal women, remaining significant after adjustment for baseline breast density or changes in body mass index (fatty-to-dense HR, 1.50 [95% CI: 1.39, 1.62]; dense-to-fatty HR, 1.42 [95% CI: 1.31, 1.53]; dense-to-dense HR, 1.62 [95% CI: 1.51, 1.75]). Conclusion In both premenopausal and postmenopausal women undergoing three consecutive biennial mammographic screenings, a consecutive increase in breast density augmented the future breast cancer risk whereas a continuous decrease was associated with a lower risk. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Kataoka et al in this issue.
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Affiliation(s)
- Thi Xuan Mai Tran
- From the Departments of Preventive Medicine (T.X.M.T., B.P.) and Health Sciences (S.K.), Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea; Department of Epidemiology and Biostatistics, Graduate School of Public Health, Hanyang University, Seoul, Republic of Korea (H.S.); Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Korea (E.L.)
| | - Soyeoun Kim
- From the Departments of Preventive Medicine (T.X.M.T., B.P.) and Health Sciences (S.K.), Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea; Department of Epidemiology and Biostatistics, Graduate School of Public Health, Hanyang University, Seoul, Republic of Korea (H.S.); Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Korea (E.L.)
| | - Huiyeon Song
- From the Departments of Preventive Medicine (T.X.M.T., B.P.) and Health Sciences (S.K.), Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea; Department of Epidemiology and Biostatistics, Graduate School of Public Health, Hanyang University, Seoul, Republic of Korea (H.S.); Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Korea (E.L.)
| | - Eunhye Lee
- From the Departments of Preventive Medicine (T.X.M.T., B.P.) and Health Sciences (S.K.), Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea; Department of Epidemiology and Biostatistics, Graduate School of Public Health, Hanyang University, Seoul, Republic of Korea (H.S.); Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Korea (E.L.)
| | - Boyoung Park
- From the Departments of Preventive Medicine (T.X.M.T., B.P.) and Health Sciences (S.K.), Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea; Department of Epidemiology and Biostatistics, Graduate School of Public Health, Hanyang University, Seoul, Republic of Korea (H.S.); Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Korea (E.L.)
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Mahmood R, Voisin A, Olof H, Khorasaniha R, Lawal SA, Armstrong HK. Host Microbiomes Influence the Effects of Diet on Inflammation and Cancer. Cancers (Basel) 2023; 15:521. [PMID: 36672469 PMCID: PMC9857231 DOI: 10.3390/cancers15020521] [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: 12/23/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
Cancer is the second leading cause of death globally, and there is a growing appreciation for the complex involvement of diet, microbiomes, and inflammatory processes culminating in tumorigenesis. Although research has significantly improved our understanding of the various factors involved in different cancers, the underlying mechanisms through which these factors influence tumor cells and their microenvironment remain to be completely understood. In particular, interactions between the different microbiomes, specific dietary factors, and host cells mediate both local and systemic immune responses, thereby influencing inflammation and tumorigenesis. Developing an improved understanding of how different microbiomes, beyond just the colonic microbiome, can interact with dietary factors to influence inflammatory processes and tumorigenesis will support our ability to better understand the potential for microbe-altering and dietary interventions for these patients in future.
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Affiliation(s)
- Ramsha Mahmood
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Athalia Voisin
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Hana Olof
- Department of Immunology, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Reihane Khorasaniha
- Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Samuel A. Lawal
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Heather K. Armstrong
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
- Department of Immunology, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
- Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, MB R3E 3P4, Canada
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Obesity and Cancer: A Current Overview of Epidemiology, Pathogenesis, Outcomes, and Management. Cancers (Basel) 2023; 15:cancers15020485. [PMID: 36672434 PMCID: PMC9857053 DOI: 10.3390/cancers15020485] [Citation(s) in RCA: 116] [Impact Index Per Article: 116.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 01/11/2023] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Obesity or excess body fat is a major global health challenge that has not only been associated with diabetes mellitus and cardiovascular disease but is also a major risk factor for the development of and mortality related to a subgroup of cancer. This review focuses on epidemiology, the relationship between obesity and the risk associated with the development and recurrence of cancer and the management of obesity. METHODS A literature search using PubMed and Google Scholar was performed and the keywords 'obesity' and cancer' were used. The search was limited to research papers published in English prior to September 2022 and focused on studies that investigated epidemiology, the pathogenesis of cancer, cancer incidence and the risk of recurrence, and the management of obesity. RESULTS About 4-8% of all cancers are attributed to obesity. Obesity is a risk factor for several major cancers, including post-menopausal breast, colorectal, endometrial, kidney, esophageal, pancreatic, liver, and gallbladder cancer. Excess body fat results in an approximately 17% increased risk of cancer-specific mortality. The relationship between obesity and the risk associated with the development of cancer and its recurrence is not fully understood and involves altered fatty acid metabolism, extracellular matrix remodeling, the secretion of adipokines and anabolic and sex hormones, immune dysregulation, and chronic inflammation. Obesity may also increase treatment-related adverse effects and influence treatment decisions regarding specific types of cancer therapy. Structured exercise in combination with dietary support and behavior therapy are effective interventions. Treatment with glucagon-like peptide-1 analogues and bariatric surgery result in more rapid weight loss and can be considered in selected cancer survivors. CONCLUSIONS Obesity increases cancer risk and mortality. Weight-reducing strategies in obesity-associated cancers are important interventions as a key component of cancer care. Future studies are warranted to further elucidate the complex relationship between obesity and cancer with the identification of targets for effective interventions.
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Thangavel H, Lizardo K, Dhanyalayam D, De Assis S, Nagajyothi JF. Diets Differently Regulate Tumorigenesis in Young E0771 Syngeneic Breast Cancer Mouse Model. J Clin Med 2023; 12:413. [PMID: 36675341 PMCID: PMC9862441 DOI: 10.3390/jcm12020413] [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: 11/15/2022] [Revised: 12/25/2022] [Accepted: 01/02/2023] [Indexed: 01/06/2023] Open
Abstract
Breast cancer (BC) is the most diagnosed cancer type, accounting for one in eight cancer diagnoses worldwide. Epidemiological studies have shown that obesity is associated with increased risk of BC in post-menopausal women, whereas adiposity reduces the risk of BC in premenopausal women. The mechanistic link between obesity and BC has been examined by combining murine BC models with high-fat diet (HFD) induced obesity. However, the effect of adiposity (not obesity) induced by a short period of HFD consumption on BC pathogenesis is not well understood. In the current study, we examined the effects of different diet compositions on BC pathogenesis using a young E0771 syngeneic BC mouse model fed on either an HFD or regular diet (RD: a low-fat high-carbohydrate diet) for a short period (4 weeks) before implanting mammary tumors in mice. We analyzed the effect of diet composition on the onset of tumor growth, metastasis, and metabolic and immune status in the tumor microenvironment (TME) using various methods including in vivo bioluminescence imaging and immunoblotting analyses. We showed for the first time that a short-term HFD delays the onset of tumorigenesis by altering the immune and metabolic signaling and energy mechanism in the TME. However, RD may increase the risk of tumorigenesis and metastasis by increasing pro-inflammatory factors in the TME in young mice. Our data suggest that diet composition, adipogenesis, and loss of body fat likely regulate the pathogenesis of BC in a manner that differs between young and post-menopausal subjects.
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Affiliation(s)
- Hariprasad Thangavel
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA
| | - Kezia Lizardo
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA
| | - Dhanya Dhanyalayam
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA
| | - Sonia De Assis
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Jyothi F. Nagajyothi
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA
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Association of body composition fat parameters and breast density in mammography by menopausal status. Sci Rep 2022; 12:22224. [PMID: 36564447 PMCID: PMC9789058 DOI: 10.1038/s41598-022-26839-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022] Open
Abstract
We investigated the relationship between body fat-driven obesity and breast fat density in mammography according to menopausal status. We retrospectively analyzed 8537 women (premenopausal, n = 4351; postmenopausal, n = 4186). Body fat parameters included BMI (body mass index), waist circumference (WC), waist-hip ratio (WHR), fat mass index (FMI), Percentage of body fat (PBF), and visceral fat area (VFA). Body fat-driven obesity was defined as follows: overall obesity, BMI ≥ 25 kg/m2; central obesity, WC > 85 cm; abdominal obesity, WHR > 0.85; excessive FMI, the highest quartile (Q4) of FMI; excessive PBF, the highest quartile (Q4) of VFA; visceral obesity, and the highest quartile (Q4) of VFA). Breast density was classified according to BI-RADS (grade a, b, c, and d), which defined as an ordinal scale (grade a = 1, grade b = 2, grade c = 3, and grade d = 4). All body fat-driven obesity parameters were negatively associated with the grade of breast density in both groups of women (p < 0.001): The more fatty parameters are, the less dense breast is. In multivariable binary logistic regression, all body fat-driven obesity parameters also showed a negative association with grade d density (vs. grade a, b, or c). In premenopausal women, BMI was a more associated parameter with grade d density than those of the other fat-driven parameters (OR 0.265, CI 0.204-0.344). In postmenopausal women, WC was more associated with grade d density than the others (OR 0.315, CI 0.239-0.416). We found that BMI, WC, WHR, FMI, PBF and VFA were negatively correlated with dense breast, and the association degree pattern between body fat-driven obesity and dense breast differs according to menopausal status.
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Paul D, Nedelcu AM. The underexplored links between cancer and the internal body climate: Implications for cancer prevention and treatment. Front Oncol 2022; 12:1040034. [PMID: 36620608 PMCID: PMC9815514 DOI: 10.3389/fonc.2022.1040034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/25/2022] [Indexed: 12/24/2022] Open
Abstract
In order to effectively manage and cure cancer we should move beyond the general view of cancer as a random process of genetic alterations leading to uncontrolled cell proliferation or simply a predictable evolutionary process involving selection for traits that increase cell fitness. In our view, cancer is a systemic disease that involves multiple interactions not only among cells within tumors or between tumors and surrounding tissues but also with the entire organism and its internal "milieu". We define the internal body climate as an emergent property resulting from spatial and temporal interactions among internal components themselves and with the external environment. The body climate itself can either prevent, promote or support cancer initiation and progression (top-down effect; i.e., body climate-induced effects on cancer), as well as be perturbed by cancer (bottom-up effect; i.e., cancer-induced body climate changes) to further favor cancer progression and spread. This positive feedback loop can move the system towards a "cancerized" organism and ultimately results in its demise. In our view, cancer not only affects the entire system; it is a reflection of an imbalance of the entire system. This model provides an integrated framework to study all aspects of cancer as a systemic disease, and also highlights unexplored links that can be altered to both prevent body climate changes that favor cancer initiation, progression and dissemination as well as manipulate or restore the body internal climate to hinder the success of cancer inception, progression and metastasis or improve therapy outcomes. To do so, we need to (i) identify cancer-relevant factors that affect specific climate components, (ii) develop 'body climate biomarkers', (iii) define 'body climate scores', and (iv) develop strategies to prevent climate changes, stop or slow the changes, or even revert the changes (climate restoration).
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Affiliation(s)
- Doru Paul
- Weill Cornell Medicine, New York, NY, United States,*Correspondence: Doru Paul,
| | - Aurora M. Nedelcu
- Biology Department, University of New Brunswick, Fredericton, NB, Canada
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Shveid Gerson D, Gerson‐Cwilich R, Lara Torres CO, Chousleb de Kalach A, Ventura Gallegos JL, Badillo‐Garcia LE, Bargalló Rocha JE, Maffuz‐Aziz A, Sánchez Forgach ER, Castorena Roji G, Robles Vidal CD, Vargas‐Castillo A, Torres N, Tovar AR, Contreras Jarquín M, Gómez Osnaya JT, Zentella‐Dehesa A. Establishment of triple-negative breast cancer cells based on BMI: A novel model in the correlation between obesity and breast cancer. Front Oncol 2022; 12:988968. [PMID: 36591465 PMCID: PMC9795201 DOI: 10.3389/fonc.2022.988968] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/14/2022] [Indexed: 12/15/2022] Open
Abstract
Introduction Obesity has been associated with an increased risk of biologically aggressive variants in breast cancer. Women with obesity often have tumors diagnosed at later stages of the disease, associated with a poorer prognosis and a different response to treatment. Human cell lines have been derived from specific subtypes of breast cancer and have served to define the cell physiology of corresponding breast cancer subtypes. However, there are no current cell lines for breast cancer specifically derived from patients with different BMIs. The availability of those breast cancer cell lines should allow to describe and unravel functional alterations linked to these comorbidities. Methods Cell cultures were established from tumor explants. Once generated, the triple negative subtype in a patient with obesity and a patient with a normal BMI were chosen for comparison. For cellular characterization, the following assays were conducted: proliferation assays, chemo - sensitivity assays for doxorubicin and paclitaxel, wound healing motility assays, matrix invasion assays, breast cancer cell growth to estradiol by chronic exposure to leptin, induction of endothelial permeability and tumorigenic potential in athymic mice with normo - versus hypercaloric diets with an evaluation of the epithelium - mesenchymal transformation proteins. Results Two different cell lines, were established from patients with breast cancer: DSG-BC1, with a BMI of 21.9 kg/m2 and DSG-BC2, with a BMI of 31.5 kg/m2. In vitro, these two cell lines show differential growth rates, motility, chemosensitivity, vascular permeability, response to leptin with an activation of the JAK2/STAT3/AKT signaling pathway. In vivo, they displayed distinct tumorigenic potential. In particular, DSG-BC2, presented higher tumorigenicity when implanted in mice fed with a hypercaloric diet. Discussion To our knowledge, these primary cultures are the first in vitro representation of both breast cancer and obesity. DSG - BC2 presented a more aggressive in vivo and in vitro phenotype. These results support the hypothesis that breast cancer generated in an obese metabolic state may represent a contrasting variant within the same disease. This new model will allow both further comprehension, functional studies and the analysis of altered molecular mechanisms under the comorbidity of obesity and breast cancer.
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Affiliation(s)
- Daniela Shveid Gerson
- Cancer Center, American British Cowdray (ABC) Medical Center, Mexico City, Mexico,*Correspondence: Daniela Shveid Gerson,
| | | | - Cesar Octavio Lara Torres
- Pathology Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
| | | | - José Luis Ventura Gallegos
- Department of Genomic Medicine and Environmental Toxicology, Institute of Biomedical Research, National Autonomous University of Mexico, Mexico City, Mexico
| | - Luis Ernesto Badillo‐Garcia
- Department of Genomic Medicine and Environmental Toxicology, Institute of Biomedical Research, National Autonomous University of Mexico, Mexico City, Mexico
| | | | - Antonio Maffuz‐Aziz
- Cancer Center, American British Cowdray (ABC) Medical Center, Mexico City, Mexico
| | | | | | | | - Ariana Vargas‐Castillo
- Biochemistry Unit, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico,Department of Nutrition Physiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
| | - Nimbe Torres
- Department of Nutrition Physiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
| | - Armando R. Tovar
- Department of Nutrition Physiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
| | - Mariela Contreras Jarquín
- Department of Genomic Medicine and Environmental Toxicology, Institute of Biomedical Research, National Autonomous University of Mexico, Mexico City, Mexico
| | - Jesús Tenahuatzin Gómez Osnaya
- Department of Genomic Medicine and Environmental Toxicology, Institute of Biomedical Research, National Autonomous University of Mexico, Mexico City, Mexico
| | - Alejandro Zentella‐Dehesa
- Cancer Center, American British Cowdray (ABC) Medical Center, Mexico City, Mexico,Biochemistry Unit, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
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Loh NY, Wang W, Noordam R, Christodoulides C. Obesity, Fat Distribution and Risk of Cancer in Women and Men: A Mendelian Randomisation Study. Nutrients 2022; 14:5259. [PMID: 36558416 PMCID: PMC9784937 DOI: 10.3390/nu14245259] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/04/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
Obesity and upper-body fat distribution are independent, cardiometabolic risk factors but whether they also display comparable associations with cancer risk is unknown. We investigated the causal relationships between body mass index (BMI) and BMI-adjusted waist-to-hip ratio (WHRadjBMI) and cancer risk and searched for potential drivers linking these traits to carcinogenesis using two-sample and multivariable Mendelian randomisation. In women, genetically instrumented higher BMI was associated with lower breast (OR = 0.87, 95% CI 0.81-0.93) and higher endometrial (OR = 1.75, 95% CI 1.55-1.96) cancer risk whilst WHRadjBMI was associated with higher colon cancer risk (OR = 1.22, 95% CI 1.07-1.42). In men, elevated BMI was associated with lower prostate cancer risk (OR = 0.91, 95% CI 0.85-0.98). Mechanistically, testosterone and insulin mediated 21% and 35%, respectively of the total, genetically determined association of BMI with endometrial cancer risk whilst HDL cholesterol and IGF-1 mediated 40% and 22%, respectively of the association between BMI and breast cancer risk. In men, testosterone mediated 21% of the association between BMI and prostate cancer risk. Colon cancer aside, the total amount of body fat might be more important than its location in modulating cancer susceptibility due to differential effects of obesity and fat distribution on adiposity-associated cancer drivers.
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Affiliation(s)
- Nellie Y. Loh
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 7LE, UK
| | - Wenyi Wang
- Department of Human Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Constantinos Christodoulides
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 7LE, UK
- NIHR Oxford Biomedical Research Centre, OUH Foundation Trust, Oxford OX3 7LE, UK
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Wang F, Kroenke CH, Pan K, Shadyab AH, Chlebowski RT, Wactawski-Wende J, Qi L, Luo J. Racial differences in anthropometric measures as risk factors for triple-negative breast cancer. Cancer Causes Control 2022; 33:1413-1419. [PMID: 36129619 PMCID: PMC10257496 DOI: 10.1007/s10552-022-01630-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/07/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE The incidence of triple-negative breast cancer (TNBC) is higher in Black women compared to White women which is not explained by racial differences in body mass index (BMI). As BMI has limitations as an anthropometric measure, we used different anthropometric measures to examine associations with TNBC by race. METHOD Of 161,808 postmenopausal participants in Women's Health Initiative, eligible were a subsample of 121,744 White and Black postmenopausal women enrolled from 1993 to 1998, 50-79 years of age with anthropometric measures who were followed for breast cancer incidence until March 2019. At entry, BMI, waist circumference (WC), and waist-hip ratio (WHR) were measured using standardized methods. Breast cancers were verified by central medical record review. Associations between anthropometric measures and triple-negative breast cancer risk were examined using Cox proportional hazards regression models. RESULTS After 17.6 years (median) follow-up, there were 87 Black women and 529 White women with incident triple-negative breast cancer. Overall, there were no significant associations between anthropometric measures and risk of triple-negative breast cancer. However, compared to White women with normal BMI, White women with obesity (BMI ≥ 30) (HR 0.76, 95% CI 0.60, 0.96) were significantly associated with a lower risk of triple-negative breast cancer. And larger waist circumference (HR per centimeter 0.99, 95% CI 0.99, 1.00) was significantly associated with a lower risk of triple-negative breast cancer among White women. CONCLUSION Overall, among postmenopausal women, anthropometric measures were not associated with risk of TNBC. The association among White women with larger waist circumference and women with obesity with a lower risk of triple-negative breast cancer needs further confirmation.
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Affiliation(s)
- Fengge Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA.
| | - Candyce H Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Kathy Pan
- Department of Hematology/Oncology, Kaiser Permanente Southern California, Bellflower, CA, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | | | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Lihong Qi
- Department of Public Health Science, School of Medicine, University of California, Davis, Davis, CA, USA
| | - Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA
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Tewari S, Vargas R, Reizes O. The impact of obesity and adipokines on breast and gynecologic malignancies. Ann N Y Acad Sci 2022; 1518:131-150. [PMID: 36302117 PMCID: PMC10092047 DOI: 10.1111/nyas.14916] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The link between obesity and multiple disease comorbidities is well established. In 2003, Calle and colleagues presented the relationship between obesity and several cancer types, including breast, ovarian, and endometrial malignancies. Nearly, 20% of cancer-related deaths in females can be accounted for by obesity. Identifying obesity as a risk factor for cancer led to a focus on the role of fat-secreted cytokines, known as adipokines, on carcinogenesis and tumor progression. Early studies indicated that the adipokine leptin increases cell proliferation, invasion, and inhibition of apoptosis in multiple cancer types. As a greater appreciation of the obesity-cancer link has amassed, we now know that additional adipokines can impact tumorigenesis. A deeper understanding of the adipokine-activated signaling in cancer may identify new treatment strategies irrespective of obesity. Moreover, adipokines may serve as disease biomarkers, harnessing the potential of obesity-associated factors to serve as indicators of treatment response and disease prognosis. As studies investigating obesity and women's cancers continue to expand, it has become evident that breast, ovarian, and uterine cancers are distinctly impacted by adipokines. While complex, these distinct interactions may provide insight into cancer progression in these organs and new opportunities for targeted therapies. This review aims to organize and present the literature from the last 5 years investigating the mechanisms and implications of adipokine signaling in breast, endometrial, and ovarian cancers with a special focus on leptin and adiponectin.
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Affiliation(s)
- Surabhi Tewari
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Roberto Vargas
- Department of Gynecologic Oncology, Women's Health Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Ofer Reizes
- Department of Gynecologic Oncology, Women's Health Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Case Comprehensive Cancer Center, Cleveland, Ohio, USA.,Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
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50
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Karavasiloglou N, Pestoni G, Kühn T, Rohrmann S. Adherence to cancer prevention recommendations and risk of breast cancer in situ in the United Kingdom Biobank. Int J Cancer 2022; 151:1674-1683. [PMID: 35723078 PMCID: PMC9796371 DOI: 10.1002/ijc.34183] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 04/28/2022] [Accepted: 05/23/2022] [Indexed: 01/01/2023]
Abstract
A health-conscious lifestyle may protect against breast cancer in situ. However, breast cancer in situ is mainly detected by screening, and many studies lack information on screening participation. Thus, we evaluated the association between prediagnostic lifestyle and risk of breast cancer in situ, accounting for screening participation at recruitment. A score reflecting the adherence to the World Cancer Research Fund/American Institute for Cancer Research cancer prevention recommendations was constructed, using the recommendations on healthy body weight, physical activity, consumption of plant-based foods, red and processed meat, alcohol and avoidance of sugar. Cox proportional hazards regression models were used to investigate the association between the lifestyle score and breast cancer in situ risk, while accounting for important confounders. The lifestyle score was not significantly associated with breast cancer in situ risk (HRcontinuous = 0.96, 95% CI = 0.91-1.03) in the overall cohort. In participants not reporting dietary changes in the past 5 years, the lifestyle score was inversely associated with breast cancer in situ risk (HRcontinuous = 0.92, 95% CI = 0.85-0.99). In those reporting dietary changes in the past 5 years due to illness or other reasons, the lifestyle score was not associated with breast cancer in situ risk (HRcontinuous = 1.04, 95% CI = 0.94-1.15). Lifestyle was inversely associated with breast cancer in situ risk in women not reporting recent changes in their dietary habits. This inverse association is consistent with inverse associations reported in previous studies. Our findings suggest that breast cancer in situ and invasive breast cancer share a similar risk factor profile.
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Affiliation(s)
- Nena Karavasiloglou
- Division of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention, University of Zurich, Zurich, Switzerland.,Cancer Registry Zurich, Zug, Schaffhausen, and Schwyz, University Hospital Zurich, Zurich, Switzerland
| | - Giulia Pestoni
- Division of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention, University of Zurich, Zurich, Switzerland.,Nutrition Group, Health Department, Swiss Distance University of Applied Sciences, Zurich, Switzerland
| | - Tilman Kühn
- Institute for Global Food Security, Queen's University Belfast, Belfast, UK.,Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention, University of Zurich, Zurich, Switzerland.,Cancer Registry Zurich, Zug, Schaffhausen, and Schwyz, University Hospital Zurich, Zurich, Switzerland
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