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Roy R, Man E, Aldakhlallah R, Gonzalez K, Merritt L, Daisy C, Lombardo M, Yordanova V, Sun L, Isaac B, Rockowitz S, Lotz M, Pories S, Moses MA. Mammary adipocytes promote breast tumor cell invasion and angiogenesis in the context of menopause and obesity. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167325. [PMID: 38925485 DOI: 10.1016/j.bbadis.2024.167325] [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: 01/17/2024] [Revised: 06/03/2024] [Accepted: 06/19/2024] [Indexed: 06/28/2024]
Abstract
The mechanism(s) underlying obesity-related postmenopausal (PM) breast cancer (BC) are not clearly understood. We hypothesized that the increased local presence of 'obese' mammary adipocytes within the BC microenvironment promotes the acquisition of an invasive and angiogenic BC cell phenotype and accelerates tumor proliferation and progression. BC cells, treated with primary mammary adipocyte secretome from premenopausal (Pre-M) and PM obese women (ObAdCM; obese adipocyte conditioned-media) upregulated the expression of several pro-tumorigenic factors including VEGF, lipocalin-2 and IL-6. Both Pre-M and PM ObAdCM stimulated endothelial cell recruitment and proliferation and significantly stimulated BC cell proliferation, migration and invasion. IL-6 and LCN2 induced STAT3/Akt signaling in BC cells and STAT3 inhibition abrogated the ObAdCM-stimulated BC cell proliferation and migration. Expression of proangiogenic regulators including VEGF, NRP1, NRP2, IL8RB, TGFβ2, and TSP-1 were found to be differentially regulated in mammary adipocytes from obese PM women. Comparative RNAseq indicated an upregulation of PI3K/Akt signaling, ECM-receptor interactions and lipid/fatty acid metabolism in PM versus Pre-M mammary adipocytes. Our results demonstrate that irrespective of menopausal status, cross-talk between obese mammary adipocytes and BC cells promotes tumor aggressiveness and suggest that targeting the LCN2/IL-6/STAT3 signaling axis may be a useful strategy in obesity-driven breast tumorigenesis.
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Affiliation(s)
- Roopali Roy
- Vascular Biology Program, Boston Children's Hospital, Boston, MA, USA; Department of Surgery, Harvard Medical School and Boston Children's Hospital, Boston, MA, USA.
| | - Emily Man
- Vascular Biology Program, Boston Children's Hospital, Boston, MA, USA
| | - Rama Aldakhlallah
- Vascular Biology Program, Boston Children's Hospital, Boston, MA, USA
| | | | - Lauren Merritt
- Vascular Biology Program, Boston Children's Hospital, Boston, MA, USA
| | - Cassandra Daisy
- Vascular Biology Program, Boston Children's Hospital, Boston, MA, USA
| | - Michael Lombardo
- Vascular Biology Program, Boston Children's Hospital, Boston, MA, USA; Department of Surgery, Harvard Medical School and Boston Children's Hospital, Boston, MA, USA
| | | | - Liang Sun
- Research Computing and Information Technology, Boston Children's Hospital, Boston, MA, USA
| | - Biju Isaac
- Research Computing and Information Technology, Boston Children's Hospital, Boston, MA, USA
| | - Shira Rockowitz
- Research Computing and Information Technology, Boston Children's Hospital, Boston, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, USA; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, USA
| | - Margaret Lotz
- Hoffman Breast Center, Mount Auburn Hospital, Cambridge, MA, USA
| | - Susan Pories
- Department of Surgery, Harvard Medical School and Boston Children's Hospital, Boston, MA, USA; Hoffman Breast Center, Mount Auburn Hospital, Cambridge, MA, USA
| | - Marsha A Moses
- Vascular Biology Program, Boston Children's Hospital, Boston, MA, USA; Department of Surgery, Harvard Medical School and Boston Children's Hospital, Boston, MA, USA.
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Calvo I, González-Rodríguez M, Neria F, Gallegos I, García-Sánchez L, Sánchez-Gómez R, Pérez S, Arenas MF, Estévez LG. An analysis of the association between breast density and body mass index with breast cancer molecular subtypes in early breast cancer: data from a Spanish population. Clin Transl Oncol 2024; 26:2541-2548. [PMID: 38734800 PMCID: PMC11410912 DOI: 10.1007/s12094-024-03469-6] [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: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 05/13/2024]
Abstract
PURPOSE Breast cancer is an important health problem, like obesity and dyslipidemia, with a strong association between body mass index (BMI) and breast cancer incidence and mortality. The risk of breast cancer is also high in women with high mammographic breast density (MBD). The purpose of this study was to analyze the association between BMI and MBD according to breast cancer molecular subtypes. METHODS This transversal, descriptive, multicenter study was conducted at three Spanish breast cancer units from November 2019 to October 2020 in women with a recent diagnosis of early breast cancer. Data were collected at the time of diagnosis. RESULTS The study included 162 women with a recent diagnosis of early breast cancer. The median age was 52 years and 49.1% were postmenopausal; 52% had normal weight, 32% overweight, and 16% obesity. There was no association between BMI and molecular subtype but, according to menopausal status, BMI was significantly higher in postmenopausal patients with luminal A (p = 0.011) and HER2-positive (p = 0.027) subtypes. There was no association between MBD and molecular subtype, but there were significant differences between BMI and MBD (p < 0.001), with lower BMI in patients with higher MBD. Patients with higher BMI had lower HDL-cholesterol (p < 0.001) and higher insulin (p < 0.001) levels, but there were no significant differences in total cholesterol or vitamin D. CONCLUSIONS This study showed higher BMI in luminal A and HER2-positive postmenopausal patients, and higher BMI in patients with low MBD regardless of menopausal status.
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Affiliation(s)
- Isabel Calvo
- Breast Cancer Unit- Oncology, MD Anderson Cancer Center, Madrid, Spain.
- Fundación MD Anderson Internacional España, Madrid, Spain.
| | - Marta González-Rodríguez
- Breast Cancer Unit- Oncology, MD Anderson Cancer Center, Madrid, Spain
- Fundación MD Anderson Internacional España, Madrid, Spain
| | - Fernando Neria
- Facultad de Medicina, Universidad Francisco de Vitoria, Madrid, Spain
| | - Isabel Gallegos
- Breast Cancer Unit- Oncology, Hospital de Segovia, Segovia, Spain
| | | | | | - Silvia Pérez
- Breast Cancer Unit- Radiology, MD Anderson Cancer Center, Madrid, Spain
| | | | - Laura G Estévez
- Breast Cancer Unit- Oncology, MD Anderson Cancer Center, Madrid, Spain
- Fundación MD Anderson Internacional España, Madrid, Spain
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Azam S, Asad S, Chitnis SD, Collier KA, Kensler KH, Sudheendra P, Pariser A, Romanos-Nanclares A, Eliassen AH, Sardesai S, Heine J, Tabung FK, Tamimi RM, Stover DG. Association Between Inflammatory Dietary Pattern and Mammographic Features. J Nutr 2024:S0022-3166(24)01026-5. [PMID: 39277115 DOI: 10.1016/j.tjnut.2024.09.009] [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: 05/20/2024] [Revised: 08/26/2024] [Accepted: 09/06/2024] [Indexed: 09/17/2024] Open
Abstract
BACKGROUND The empirical dietary inflammation pattern score (EDIP), which measures the ability of the diet to regulate chronic inflammation, is associated with both higher adiposity and breast cancer (BC) risk. Mammographic density (MD) is an important risk factor for BC. OBJECTIVE We examined the associations between EDIP and mammographic features overall and stratified by menopausal status, and assessed the extent to which these associations are mediated by adiposity. METHODS We included 4,145 participants without BC in the Nurses' Health Study (NHS) and NHSII. Cumulative average EDIP was assessed by food frequency questionnaires every 4-6 years. We assessed mammographic density (MD) parameters (percent MD, dense area, and non-dense area) and V (measure of grayscale variation). MD parameters were square root-transformed. Multivariable-adjusted linear regression models were used to analyze the associations between EDIP score and MD parameters. Baron and Kenny's regression method was used to assess the extent to which the associations of EDIP and mammographic traits were mediated by BMI. RESULTS In multivariable-adjusted models, EDIP was significantly inversely associated with percent MD (top vs. bottom quartile, β = -0.57, 95% CI: -0.78 - -0.36). Additional adjustment for BMI attenuated the association (β= -0.15, 95% CI: -0.34 - 0.03), with 68% (β= 0.68, 20 95% CI: 0.54-0.86) mediation via BMI. In addition, EDIP was positively associated with non-dense area after adjusting for BMI and other covariates. No associations were observed for dense area and V measure. Results were similar when stratified by menopausal status. CONCLUSION EDIP score was inversely associated with percent MD and positively associated with non-dense area, and these associations were largely mediated by BMI.
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Affiliation(s)
- Shadi Azam
- Department of Population Health Sciences, Weill Cornell Medicine, New York, USA.
| | - Sarah Asad
- Division of Medical Oncology, College of Medicine , The Ohio State University, Columbus, OH, USA
| | - Saurabh D Chitnis
- Division of Medical Oncology, College of Medicine , The Ohio State University, Columbus, OH, USA
| | - Katharine A Collier
- Division of Medical Oncology, College of Medicine , The Ohio State University, Columbus, OH, USA
| | - Kevin H Kensler
- Department of Population Health Sciences, Weill Cornell Medicine, New York, USA
| | - Preeti Sudheendra
- Division of Medical Oncology, College of Medicine , The Ohio State University, Columbus, OH, USA
| | - Ashley Pariser
- Division of Medical Oncology, College of Medicine , The Ohio State University, Columbus, OH, USA
| | - Andrea Romanos-Nanclares
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Sagar Sardesai
- Division of Medical Oncology, College of Medicine , The Ohio State University, Columbus, OH, USA
| | - John Heine
- Moffitt Cancer Center, Tampa, Florida, USA
| | - Fred K Tabung
- Division of Medical Oncology, College of Medicine , The Ohio State University, Columbus, OH, USA; Comprehensive Cancer Center, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, USA
| | - Daniel G Stover
- Division of Medical Oncology, College of Medicine , The Ohio State University, Columbus, OH, USA; Department of Biomedical Informatics, Ohio State University, Columbus, OH, 43210 USA
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Sartor H, Sturesdotter L, Larsson AM, Rosendahl AH, Zackrisson S. Mammographic features differ with body composition in women with breast cancer. Eur Radiol 2024:10.1007/s00330-024-10937-8. [PMID: 38992111 DOI: 10.1007/s00330-024-10937-8] [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: 03/19/2024] [Revised: 04/29/2024] [Accepted: 06/08/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVES There are several breast cancer (BC) risk factors-many related to body composition, hormonal status, and fertility patterns. However, it is not known if risk factors in healthy women are associated with specific mammographic features at the time of BC diagnosis. Our aim was to assess the potential association between pre-diagnostic body composition and mammographic features in the diagnostic BC image. MATERIALS AND METHODS The prospective Malmö Diet and Cancer Study includes women with invasive BC from 1991 to 2014 (n = 1116). BC risk factors at baseline were registered (anthropometric measures, menopausal status, and parity) along with mammography data from BC diagnosis (breast density, mammographic tumor appearance, and mode of detection). We investigated associations between anthropometric measures and mammographic features via logistic regression analyses, yielding odds ratios (OR) with 95% confidence intervals (CI). RESULTS There was an association between high body mass index (BMI) (≥ 30) at baseline and spiculated tumor appearance (OR 1.370 (95% CI: 0.941-2.010)), primarily in women with clinically detected cancers (OR 2.240 (95% CI: 1.280-3.940)), and in postmenopausal women (OR 1.580 (95% CI: 1.030-2.440)). Furthermore, an inverse association between high BMI (≥ 30) and high breast density (OR 0.270 (95% CI: 0.166-0.438)) was found. CONCLUSION This study demonstrated an association between obesity and a spiculated mass on mammography-especially in women with clinically detected cancers and in postmenopausal women. These findings offer insights on the relationship between risk factors in healthy women and related mammographic features in subsequent BC. CLINICAL RELEVANCE STATEMENT With increasing numbers of both BC incidence and women with obesity, it is important to highlight mammographic findings in women with an unhealthy weight. KEY POINTS Women with obesity and BC may present with certain mammographic features. Spiculated masses were more common in women with obesity, especially postmenopausal women, and those with clinically detected BCs. Insights on the relationship between obesity and related mammographic features will aid mammographic interpretation.
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Affiliation(s)
- Hanna Sartor
- Department of Translational Medicine, Diagnostic Radiology, Lund University, Malmö, Sweden.
| | - Li Sturesdotter
- Department of Translational Medicine, Diagnostic Radiology, Lund University, Malmö, Sweden
- Department of Imaging and Physiology, Skåne University Hospital, Malmö, Sweden
| | - Anna-Maria Larsson
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Ann H Rosendahl
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Sophia Zackrisson
- Department of Translational Medicine, Diagnostic Radiology, Lund University, Malmö, Sweden
- Department of Imaging and Physiology, Skåne University Hospital, Malmö, Sweden
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Duan W, Wu Z, Zhu H, Zhu Z, Liu X, Shu Y, Zhu X, Wu J, Peng D. Deep learning modeling using mammography images for predicting estrogen receptor status in breast cancer. Am J Transl Res 2024; 16:2411-2422. [PMID: 39006260 PMCID: PMC11236640 DOI: 10.62347/puhr6185] [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: 03/21/2024] [Accepted: 05/12/2024] [Indexed: 07/16/2024]
Abstract
BACKGROUND The estrogen receptor (ER) serves as a pivotal indicator for assessing endocrine therapy efficacy and breast cancer prognosis. Invasive biopsy is a conventional approach for appraising ER expression levels, but it bears disadvantages due to tumor heterogeneity. To address the issue, a deep learning model leveraging mammography images was developed in this study for accurate evaluation of ER status in patients with breast cancer. OBJECTIVES To predict the ER status in breast cancer patients with a newly developed deep learning model leveraging mammography images. MATERIALS AND METHODS Datasets comprising preoperative mammography images, ER expression levels, and clinical data spanning from October 2016 to October 2021 were retrospectively collected from 358 patients diagnosed with invasive ductal carcinoma. Following collection, these datasets were divided into a training dataset (n = 257) and a testing dataset (n = 101). Subsequently, a deep learning prediction model, referred to as IP-SE-DResNet model, was developed utilizing two deep residual networks along with the Squeeze-and-Excitation attention mechanism. This model was tailored to forecast the ER status in breast cancer patients utilizing mammography images from both craniocaudal view and mediolateral oblique view. Performance measurements including prediction accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curves (AUCs) were employed to assess the effectiveness of the model. RESULTS In the training dataset, the AUCs for the IP-SE-DResNet model utilizing mammography images from the craniocaudal view, mediolateral oblique view, and the combined images from both views, were 0.849 (95% CIs: 0.809-0.868), 0.858 (95% CIs: 0.813-0.872), and 0.895 (95% CIs: 0.866-0.913), respectively. Correspondingly, the AUCs for these three image categories in the testing dataset were 0.835 (95% CIs: 0.790-0.887), 0.746 (95% CIs: 0.793-0.889), and 0.886 (95% CIs: 0.809-0.934), respectively. A comprehensive comparison between performance measurements underscored a substantial enhancement achieved by the proposed IP-SE-DResNet model in contrast to a traditional radiomics model employing the naive Bayesian classifier. For the latter, the AUCs stood at only 0.614 (95% CIs: 0.594-0.638) in the training dataset and 0.613 (95% CIs: 0.587-0.654) in the testing dataset, both utilizing a combination of mammography images from the craniocaudal and mediolateral oblique views. CONCLUSIONS The proposed IP-SE-DResNet model presents a potent and non-invasive approach for predicting ER status in breast cancer patients, potentially enhancing the efficiency and diagnostic precision of radiologists.
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Affiliation(s)
- Wenfeng Duan
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchang, Jiangxi, China
| | - Zhiheng Wu
- School of Information Engineering, Nanchang UniversityNanchang, Jiangxi, China
| | - Huijun Zhu
- School of Information Engineering, Nanchang UniversityNanchang, Jiangxi, China
| | - Zhiyun Zhu
- Department of Cardiology, Jiangxi Provincial People’s HospitalNanchang, Jiangxi, China
| | - Xiang Liu
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchang, Jiangxi, China
| | - Yongqiang Shu
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchang, Jiangxi, China
| | - Xishun Zhu
- School of Advanced Manufacturing, Nanchang UniversityNanchang, Jiangxi, China
| | - Jianhua Wu
- School of Information Engineering, Nanchang UniversityNanchang, Jiangxi, China
| | - Dechang Peng
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchang, Jiangxi, China
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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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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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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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9
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Tran TXM, Kim S, Park B. Mammographic Breast Density and Risk of Ovarian Cancer in Korean Women. Cancer Epidemiol Biomarkers Prev 2023; 32:1690-1698. [PMID: 37816192 DOI: 10.1158/1055-9965.epi-23-0494] [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: 05/03/2023] [Revised: 08/04/2023] [Accepted: 10/05/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND This study aimed to investigate the potential association between mammographic breast density and ovarian cancer risk. METHODS This retrospective cohort study included women ≥40 years of age who underwent a mammography screening from 2009 to 2014. Breast density was assessed using the Breast Imaging-Reporting and Data System. The primary outcome was ovarian cancer development, and the cases were recorded until 2020. Cox proportional hazards regression was used to assess the association between breast density and ovarian cancer development. Subgroup analyses stratified by age, menopausal status, and body mass index (BMI) were conducted. RESULTS Of the 8,556,914 women included in this study, 9,246 ovarian cancer events were recorded during a median follow-up period of 10 years (interquartile range, 8.1-11.0 years). Compared with women with almost entirely fat density, those with scattered fibroglandular density, heterogeneous density, and extreme density had an increased risk of ovarian cancer with adjusted HRs of 1.08 [95% confidence interval (CI), 1.02-1.15], 1.16 (95% CI, 1.09-1.24), and 1.24 (95% CI, 1.15-1.34), respectively. The strongest association was observed in the ≥60 years age group; subgroup analysis indicated a significant increase in association between the higher-density category and ovarian cancer risk, regardless of BMI or menopausal status. CONCLUSIONS Higher levels of breast density are associated with an increased risk of ovarian cancer. IMPACT Breast density may have a relationship with ovarian cancer risk and could be used to assess future risk.
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Affiliation(s)
- Thi Xuan Mai Tran
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
- Institute for Health and Society, Hanyang University, Seoul, South Korea
| | - Soyeoun Kim
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
- Institute for Health and Society, Hanyang University, Seoul, South 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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Kerlikowske K, Bissell MCS, Sprague BL, Tice JA, Tossas KY, Bowles EJA, Ho TQH, Keegan THM, Miglioretti DL. Impact of BMI on Prevalence of Dense Breasts by Race and Ethnicity. Cancer Epidemiol Biomarkers Prev 2023; 32:1524-1530. [PMID: 37284771 PMCID: PMC10701641 DOI: 10.1158/1055-9965.epi-23-0049] [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: 01/18/2023] [Revised: 03/18/2023] [Accepted: 04/25/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND Density notification laws require notifying women of dense breasts with dense breast prevalence varying by race/ethnicity. We evaluated whether differences in body mass index (BMI) account for differences in dense breasts prevalence by race/ethnicity. METHODS Prevalence of dense breasts (heterogeneously or extremely dense) according to Breast Imaging Reporting and Data System and obesity (BMI > 30 kg/m2) were estimated from 2,667,207 mammography examinations among 866,033 women in the Breast Cancer Surveillance Consortium (BCSC) from January 2005 through April 2021. Prevalence ratios (PR) for dense breasts relative to overall prevalence by race/ethnicity were estimated by standardizing race/ethnicity prevalence in the BCSC to the 2020 U.S. population, and adjusting for age, menopausal status, and BMI using logistic regression. RESULTS Dense breasts were most prevalent among Asian women (66.0%) followed by non-Hispanic/Latina (NH) White (45.5%), Hispanic/Latina (45.3%), and NH Black (37.0%) women. Obesity was most prevalent in Black women (58.4%) followed by Hispanic/Latina (39.3%), NH White (30.6%), and Asian (8.5%) women. The adjusted prevalence of dense breasts was 19% higher [PR = 1.19; 95% confidence interval (CI), 1.19-1.20] in Asian women, 8% higher (PR = 1.08; 95% CI, 1.07-1.08) in Black women, the same in Hispanic/Latina women (PR = 1.00; 95% CI, 0.99-1.01), and 4% lower (PR = 0.96; 95% CI, 0.96-0.97) in NH White women relative to the overall prevalence. CONCLUSIONS Clinically important differences in breast density prevalence are present across racial/ethnic groups after accounting for age, menopausal status, and BMI. IMPACT If breast density is the sole criterion used to notify women of dense breasts and discuss supplemental screening it may result in implementing inequitable screening strategies across racial/ethnic groups. See related In the Spotlight, p. 1479.
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Affiliation(s)
- Karla Kerlikowske
- Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- General Internal Medicine Section, Department of Veterans Affairs, University of California, San Francisco, CA, USA
| | - Michael C. S. Bissell
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA, USA
| | - Brian L. Sprague
- Departments of Surgery and Radiology, Office of Health Promotion Research, Larner College of Medicine at the University of Vermont and University of Vermont Cancer Center, Burlington, VT, USA
| | - Jeffrey A. Tice
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Katherine Y. Tossas
- Department of Health Behavior and Policy, School of Medicine, and Massey Cancer Center, Virginia Commonwealth University, Richmond VA, USA
| | - Erin J. A. Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Thao-Quyen H. Ho
- Department of Training and Scientific Research, University Medical Center, Ho Chi Minh city, Vietnam
- Breast Imaging Unit, Diagnostic Imaging Center, Tam Anh General Hospital, Ho Chi Minh City, Vietnam
| | - Theresa H. M. Keegan
- Center for Oncology Hematology Outcomes Research and Training (COHORT) and Division of Hematology and Oncology, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Diana L. Miglioretti
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
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11
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Busund M, Ursin G, Lund E, Wilsgaard T, Rylander C. Trajectories of body mass index in adulthood and risk of subtypes of postmenopausal breast cancer. Breast Cancer Res 2023; 25:130. [PMID: 37898792 PMCID: PMC10612168 DOI: 10.1186/s13058-023-01729-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: 06/14/2023] [Accepted: 10/15/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND Body fatness is a dynamic exposure throughout life. To provide more insight into the association between body mass index (BMI) and postmenopausal breast cancer, we aimed to examine the age at onset, duration, intensity, and trajectories of body fatness in adulthood in relation to risk of breast cancer subtypes. METHODS Based on self-reported anthropometry in the prospective Norwegian Women and Cancer Study, we calculated the age at onset, duration, and intensity of overweight and obesity using linear mixed-effects models. BMI trajectories in adulthood were modeled using group-based trajectory modeling. We used Cox proportional hazards models to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) for the associations between BMI exposures and breast cancer subtypes in 148,866 postmenopausal women. RESULTS A total of 7223 incident invasive postmenopausal breast cancer cases occurred during follow-up. Increased overweight duration and age at the onset of overweight or obesity were associated with luminal A-like breast cancer. Significant heterogeneity was observed in the association between age at overweight and overweight duration and the intrinsic-like subtypes (pheterogeneity 0.03). Compared with women who remained at normal weight throughout adulthood, women with a descending BMI trajectory had a reduced risk of luminal A-like breast cancer (HR 0.54, 95% CI 0.33-0.90), whereas women with ascending BMI trajectories were at increased risk (HR 1.09; 95% CI 1.01-1.17 for "Normal-overweight"; HR 1.20; 95% CI 1.07-1.33 for "Normal-obesity"). Overweight duration and weighted cumulative years of overweight and obesity were inversely associated with luminal B-like breast cancer. CONCLUSIONS In this exploratory analysis, decreasing body fatness from obesity in adulthood was inversely associated with overall, hormone receptor-positive and luminal A-like breast cancer in postmenopausal women. This study highlights the potential health benefits of reducing weight in adulthood and the health risks associated with increasing weight throughout adult life. Moreover, our data provide evidence of intrinsic-like tumor heterogeneity with regard to age at onset and duration of overweight.
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Affiliation(s)
- Marit Busund
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
| | | | - Eiliv Lund
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway
| | - Charlotta Rylander
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway
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Louro J, Román M, Moshina N, Olstad CF, Larsen M, Sagstad S, Castells X, Hofvind S. Personalized Breast Cancer Screening: A Risk Prediction Model Based on Women Attending BreastScreen Norway. Cancers (Basel) 2023; 15:4517. [PMID: 37760486 PMCID: PMC10526465 DOI: 10.3390/cancers15184517] [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: 06/09/2023] [Revised: 09/06/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND We aimed to develop and validate a model predicting breast cancer risk for women targeted by breast cancer screening. METHOD This retrospective cohort study included 57,411 women screened at least once in BreastScreen Norway during the period from 2007 to 2019. The prediction model included information about age, mammographic density, family history of breast cancer, body mass index, age at menarche, alcohol consumption, exercise, pregnancy, hormone replacement therapy, and benign breast disease. We calculated a 4-year absolute breast cancer risk estimates for women and in risk groups by quartiles. The Bootstrap resampling method was used for internal validation of the model (E/O ratio). The area under the curve (AUC) was estimated with a 95% confidence interval (CI). RESULTS The 4-year predicted risk of breast cancer ranged from 0.22-7.33%, while 95% of the population had a risk of 0.55-2.31%. The thresholds for the quartiles of the risk groups, with 25% of the population in each group, were 0.82%, 1.10%, and 1.47%. Overall, the model slightly overestimated the risk with an E/O ratio of 1.10 (95% CI: 1.09-1.11) and the AUC was 62.6% (95% CI: 60.5-65.0%). CONCLUSIONS This 4-year risk prediction model showed differences in the risk of breast cancer, supporting personalized screening for breast cancer in women aged 50-69 years.
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Affiliation(s)
- Javier Louro
- Department of Epidemiology and Evaluation, Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain; (J.L.); (M.R.); (X.C.)
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 48902 Barakaldo, Spain
| | - Marta Román
- Department of Epidemiology and Evaluation, Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain; (J.L.); (M.R.); (X.C.)
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 48902 Barakaldo, Spain
| | - Nataliia Moshina
- Section for Breast Cancer Screening, Cancer Registry of Norway, 0304 Oslo, Norway; (N.M.); (C.F.O.); (M.L.); (S.S.)
| | - Camilla F. Olstad
- Section for Breast Cancer Screening, Cancer Registry of Norway, 0304 Oslo, Norway; (N.M.); (C.F.O.); (M.L.); (S.S.)
| | - Marthe Larsen
- Section for Breast Cancer Screening, Cancer Registry of Norway, 0304 Oslo, Norway; (N.M.); (C.F.O.); (M.L.); (S.S.)
| | - Silje Sagstad
- Section for Breast Cancer Screening, Cancer Registry of Norway, 0304 Oslo, Norway; (N.M.); (C.F.O.); (M.L.); (S.S.)
| | - Xavier Castells
- Department of Epidemiology and Evaluation, Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain; (J.L.); (M.R.); (X.C.)
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 48902 Barakaldo, Spain
| | - Solveig Hofvind
- Section for Breast Cancer Screening, Cancer Registry of Norway, 0304 Oslo, Norway; (N.M.); (C.F.O.); (M.L.); (S.S.)
- Department of Health and Care Sciences, Faculty of Health Sciences, UiT, The Arctic University of Norway, 9037 Tromsø, Norway
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Matou-Nasri S, Aldawood M, Alanazi F, Khan AL. Updates on Triple-Negative Breast Cancer in Type 2 Diabetes Mellitus Patients: From Risk Factors to Diagnosis, Biomarkers and Therapy. Diagnostics (Basel) 2023; 13:2390. [PMID: 37510134 PMCID: PMC10378597 DOI: 10.3390/diagnostics13142390] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/20/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is usually the most malignant and aggressive mammary epithelial tumor characterized by the lack of expression for estrogen receptors and progesterone receptors, and the absence of epidermal growth factor receptor (HER)2 amplification. Corresponding to 15-20% of all breast cancers and well-known by its poor clinical outcome, this negative receptor expression deprives TNBC from targeted therapy and makes its management therapeutically challenging. Type 2 diabetes mellitus (T2DM) is the most common ageing metabolic disorder due to insulin deficiency or resistance resulting in hyperglycemia, hyperinsulinemia, and hyperlipidemia. Due to metabolic and hormonal imbalances, there are many interplays between both chronic disorders leading to increased risk of breast cancer, especially TNBC, diagnosed in T2DM patients. The purpose of this review is to provide up-to-date information related to epidemiology and clinicopathological features, risk factors, diagnosis, biomarkers, and current therapy/clinical trials for TNBC patients with T2DM compared to non-diabetic counterparts. Thus, in-depth investigation of the diabetic complications on TNBC onset, development, and progression and the discovery of biomarkers would improve TNBC management through early diagnosis, tailoring therapy for a better outcome of T2DM patients diagnosed with TNBC.
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Affiliation(s)
- Sabine Matou-Nasri
- Blood and Cancer Research Department, King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNG-HA), Riyadh 11481, Saudi Arabia
- Biosciences Department, Faculty of the School for Systems Biology, George Mason University, Manassas, VA 22030, USA
| | - Maram Aldawood
- Blood and Cancer Research Department, King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNG-HA), Riyadh 11481, Saudi Arabia
- Post Graduate and Zoology Department, King Saud University, Riyadh 12372, Saudi Arabia
| | - Fatimah Alanazi
- Blood and Cancer Research Department, King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNG-HA), Riyadh 11481, Saudi Arabia
- Biosciences Department, Faculty of the School for Systems Biology, George Mason University, Manassas, VA 22030, USA
| | - Abdul Latif Khan
- Tissue Biobank, KAIMRC, MNG-HA, Riyadh 11481, Saudi Arabia
- Pathology and Clinical Laboratory Medicine, King Abdulaziz Medical City (KAMC), Riyadh 11564, Saudi Arabia
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14
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Kai C, Ishizuka S, Otsuka T, Nara M, Kondo S, Futamura H, Kodama N, Kasai S. Automated Estimation of Mammary Gland Content Ratio Using Regression Deep Convolutional Neural Network and the Effectiveness in Clinical Practice as Explainable Artificial Intelligence. Cancers (Basel) 2023; 15:2794. [PMID: 37345132 DOI: 10.3390/cancers15102794] [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: 04/08/2023] [Revised: 05/11/2023] [Accepted: 05/15/2023] [Indexed: 06/23/2023] Open
Abstract
Recently, breast types were categorized into four types based on the Breast Imaging Reporting and Data System (BI-RADS) atlas, and evaluating them is vital in clinical practice. A Japanese guideline, called breast composition, was developed for the breast types based on BI-RADS. The guideline is characterized using a continuous value called the mammary gland content ratio calculated to determine the breast composition, therefore allowing a more objective and visual evaluation. Although a discriminative deep convolutional neural network (DCNN) has been developed conventionally to classify the breast composition, it could encounter two-step errors or more. Hence, we propose an alternative regression DCNN based on mammary gland content ratio. We used 1476 images, evaluated by an expert physician. Our regression DCNN contained four convolution layers and three fully connected layers. Consequently, we obtained a high correlation of 0.93 (p < 0.01). Furthermore, to scrutinize the effectiveness of the regression DCNN, we categorized breast composition using the estimated ratio obtained by the regression DCNN. The agreement rates are high at 84.8%, suggesting that the breast composition can be calculated using regression DCNN with high accuracy. Moreover, the occurrence of two-step errors or more is unlikely, and the proposed method can intuitively understand the estimated results.
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Affiliation(s)
- Chiharu Kai
- Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata City 950-3198, Niigata, Japan
| | - Sachi Ishizuka
- Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata City 950-3198, Niigata, Japan
| | | | - Miyako Nara
- Department of Breast Surgery, Tokyo Metropolitan Cancer and Infectious Disease Center, Komagome Hospital, Tokyo 113-8677, Japan
| | - Satoshi Kondo
- Graduate School of Engineering, Muroran Institute of Technology, Muroran City 050-8585, Hokkaido, Japan
| | | | - Naoki Kodama
- Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata City 950-3198, Niigata, Japan
| | - Satoshi Kasai
- Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata City 950-3198, Niigata, Japan
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15
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Nyrop KA, Monaco J, Vohra S, Deal AM, Wood WA, Shachar SS, Dees EC, Kimmick GG, Speca JC, Muss HB. Body mass index and patient-reported function, quality of life and treatment toxicity in women receiving adjuvant chemotherapy for breast cancer. Support Care Cancer 2023; 31:196. [PMID: 36859693 DOI: 10.1007/s00520-023-07637-2] [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: 07/21/2022] [Accepted: 02/08/2023] [Indexed: 03/03/2023]
Abstract
BACKGROUND This study investigates whether high body mass index (BMI) in women diagnosed with early breast cancer (BC) is associated with patient-reported symptom severity during chemotherapy. METHODS Women with Stage I-III BC completed toxicity reports for 17 side effects throughout regularly scheduled chemotherapy infusions. Toxicity reports were compared in women with obesity (BMI > = 30) versus no obesity (BMI < 30). Fisher's exact tests and 2-sample t-tests compared baseline patient characteristics. Risk ratios (RR) for women with obesity as compared to no obesity were estimated for individual symptoms that were patient-rated as moderate, severe or very severe (MSVS) severity, adjusting for marital status and race. RESULTS In a sample of 286 patients, Black women comprised 23% of the sample. The obesity rate was 76% among Black patients and 31% among White patients (p < .0001). Women with obesity rated an average of 6.9 side effects (standard deviation, SD 4.2) as MSVS vs 5.5 side effects (SD 3.7) among women with no obesity (p = .003). In adjusted analysis, women with obesity had significantly greater risk for MSVS fatigue (RR 1.18, 95% CI 1.01-1.36), dyspnea (RR 1.71, 95% CI 1.09-2.69), arthralgia (RR 1.47, 95% CI 1.10-1.97), peripheral neuropathy (RR 1.45, 95% CI 1.01-2.08), edema of limbs (RR 1.84, 95% CI 1.18-2.88), and abdominal pain (RR 1.75, 95% CI 1.07-2.87). There were no inter-group differences in BC stage or phenotype, chemotherapy treatment modifications, or hospitalizations. CONCLUSIONS Among women with early BC, patients with obesity reported higher chemotherapy toxicity as compared to patients without obesity; however, this did not result in differences in treatment completion.
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Affiliation(s)
- Kirsten A Nyrop
- School of Medicine, Department of Medicine, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA.
| | - Jane Monaco
- Gillings School of Global Public Health, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sanah Vohra
- Gillings School of Global Public Health, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Allison M Deal
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA
| | - William A Wood
- School of Medicine, Department of Medicine, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA
| | | | - E Claire Dees
- School of Medicine, Department of Medicine, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA
| | | | - JoEllen C Speca
- School of Medicine, Department of Medicine, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA
| | - Hyman B Muss
- School of Medicine, Department of Medicine, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, 170 Manning Drive, Campus Box 7305, Chapel Hill, NC, 27599-7305, USA
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Tran TXM, Chang Y, Kim S, Song H, Ryu S, Park B. Association of Breast Cancer Family History With Breast Density Over Time in Korean Women. JAMA Netw Open 2023; 6:e232420. [PMID: 36897591 DOI: 10.1001/jamanetworkopen.2023.2420] [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] [Indexed: 03/11/2023] Open
Abstract
IMPORTANCE Evidence suggests that women with a family history of breast cancer (FHBC) in first-degree relatives have a higher level of breast density; however, studies of premenopausal women remain limited. OBJECTIVE To investigate the association between FHBC and mammographic breast density and breast density changes among premenopausal women. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study used population-based data obtained from the National Health Insurance Service-National Health Information Database of Korea. We included premenopausal women aged 40 to 55 years who underwent mammography for breast cancer screening once between January 1, 2015, and December 31, 2016 (n = 1 174 214), and women who underwent mammography twice (first in 2015-2016 and again between January 1, 2017 and December 31, 2018) (n = 838 855). EXPOSURES Family history of breast cancer was assessed using a self-reported questionnaire, which included information on FHBC in the mother and/or sister. MAIN OUTCOMES AND MEASURES Breast density, based on the Breast Imaging Reporting and Data System, was categorized as dense (heterogeneously or extremely dense) and nondense (almost entirely fat or scattered fibroglandular areas). Multivariate logistic regression was used to assess the association among FHBC, breast density, and changes in breast density from the first to second screening. Data analysis was performed from June 1 to September 31, 2022. RESULTS Of the 1 174 214 premenopausal women, 34 003 (2.4%; mean [SD] age, 46.3 [3.2] years) reported having FHBC among their first-degree relatives, and 1 140 211 (97.1%; mean [SD] age, 46.3 [3.2] years) reported no FHBC. Odds of having dense breasts was 22% higher (adjusted odds ratio [aOR], 1.22; 95% CI, 1.19-1.26) in women with FHBC than in women without FHBC, and the association varied by affected relatives: mother alone (aOR, 1.15; 95% CI, 1.10-1.21), sister alone (aOR, 1.26; 95% CI, 1.22-1.31), and both mother and sister (aOR, 1.64; 95% CI, 1.20-2.25). Among women with fatty breasts at baseline, the odds of developing dense breasts was higher in women with FHBC than in those without FHBC (aOR, 1.19; 95% CI, 1.11-1.26), whereas among women with dense breasts, higher odds of having persistently dense breasts were observed in women with FHBC (aOR, 1.11; 95% CI, 1.05-1.16) than in those without FHBC. CONCLUSIONS AND RELEVANCE In this cohort study of premenopausal Korean women, FHBC was positively associated with an increased incidence of having increased or persistently dense breasts over time. These findings suggest the need for a tailored breast cancer risk assessment for women with FHBC.
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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
| | - Soyeoun Kim
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Huiyeon Song
- Department of Epidemiology and Biostatistics, Graduate School of Public Health, Hanyang University, 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
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Al-Janabi AAHS. The influence of age, menstrual state and body mass index on the relation between osteopenia and osteoporosis associated with breast cancer. J OBSTET GYNAECOL 2022; 42:3368-3373. [PMID: 36151899 DOI: 10.1080/01443615.2022.2125299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Osteoporosis and body mass index (BMI) have been reported to be associated with breast cancer. The correlation between other types of bone loss and breast cancer requires further illustrative evidence. Effect of age and menstrual state on the relationship of osteoporosis, osteopenia and BMI with breast cancer was evaluated in this study. Two hundred breast cancer patients and 200 breast cancer-free patients were included in a case-control study. Bone mineral density (BMD) and BMI were determined in all subjects. Postmenopause was the most frequent menstrual state. osteopenia was found to be significant in breast cancer patients and osteoporosis was significant in another group of women. There was no significant difference between breast cancer patients and control women in terms of age and menstrual status. Obesity was common in all subjects. In conclusion, bone loss rates are significantly low in breast cancer patients relative to healthy women. There was no significant impact of age, menstrual status or BMI on the development of osteopenia or osteoporosis in breast cancer patients. In addition, BMD analytical results may identify the appropriate treatment for bone loss. A routine check-up of osteopenia or osteoporosis is highly recommended for breast cancer patients.Impact StatementWhat is already known on this subject? Breast cancer may be associated with a wide variety of human body parameters. These parameters can include age, body mass index (BMI), obesity and menstrual status. There is also a correlation between osteoporosis and breast cancer.What do the results of this study add? Osteopenia is the most frequent form of bone loss among women with breast cancer. In contrast, osteoporosis as the worst stage of bone loss is unusual in these patients. Factors such as age, menstruation and BMI have no effect on the development of breast cancer.What are the implications of these findings for clinical practice and/or further research? Identification of the type of bone loss in women with breast cancer is essential to determine the appropriate type of therapy.
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Kamal RM, Mostafa S, Salem D, ElHatw AM, Mokhtar SM, Wessam R, Fakhry S. Body mass index, breast density, and the risk of breast cancer development in relation to the menopausal status; results from a population-based screening program in a native African-Arab country. Acta Radiol Open 2022; 11:20584601221111704. [PMID: 35795247 PMCID: PMC9252007 DOI: 10.1177/20584601221111704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 06/17/2022] [Indexed: 12/04/2022] Open
Abstract
Background Risk factors are traits or behaviors that have an influence on the development of breast cancer (BC). Awareness of the prevalent risk factors can guide in developing prevention interventions. Purpose To evaluate the correlation between the breast density, body mass index, and the risk of breast cancer development in relation to the menopausal status in a native African-Arab population. Material and methods The study included 30,443 screened females who were classified into cancer and non-cancer groups and each group was further sub-classified into pre- and postmenopausal groups. The breast density (BD) was reported and subjectively classified according to the 2013 ACR BI-RADS breast density classification. The weight and height were measured, and the body mass index (BMI) was calculated and classified according to the WHO BMI classification. Results A statistically significant difference was calculated between the mean BMI in the cancer and non-cancer groups (p: .027) as well as between the pre- and postmenopausal groups (p < .001). A positive statistically insignificant correlation was calculated between the breast density and the risk of breast cancer in the premenopausal group (OR: 1.062, p: .919) and a negative highly significant correlation was calculated in the postmenopausal group (OR: 0.234, p < .001). Conclusion BMI and BD are inversely associated with each other. The current studied population presented unique ethnic characteristics, where a decreased BD and an increased BMI were found to be independent risk factors for developing breast cancer.
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Affiliation(s)
- Rasha M Kamal
- Department of Radiology, Cairo University – Baheya Breast Cancer Foundation, Giza, Egypt
| | - Salma Mostafa
- Department of Radiology, Cairo University, Giza, Egypt
| | - Dorria Salem
- Department of Radiology, Cairo University, Giza, Egypt
| | - Ahmed M ElHatw
- Resident of Radiology, National Cancer Institute, Cairo, Egypt
| | | | - Rasha Wessam
- Department of Radiology, Cairo University – Baheya Breast Cancer Foundation, Giza, Egypt
| | - Sherihan Fakhry
- Department of Radiology, Cairo University – Baheya Breast Cancer Foundation, Giza, Egypt
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19
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Tran TXM, Kim S, Song H, Park B. Mammographic breast density, body mass index and risk of breast cancer in Korean women aged 75 years and older. Int J Cancer 2022; 151:869-877. [PMID: 35460071 DOI: 10.1002/ijc.34038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/26/2022] [Accepted: 04/08/2022] [Indexed: 01/23/2023]
Abstract
Mammographic breast density and body mass index (BMI) are strong risk factors of breast cancer, but few studies have investigated these factors in older women. Our study assessed the association between breast density, BMI and the breast cancer risk among women aged ≥75 years. We included women who underwent breast cancer screening between 2009 and 2014 and were followed up until 2020. Breast density was measured using Breast Imaging Reporting and Data System. BMI was classified into three groups: <23, 23 to <25 and ≥25. Cox proportional hazards models were used to estimate the association of breast density and BMI with breast cancer risk. In 483 564 women, 1885 developed breast cancer. The 5-year incidence increased with an increase in breast density and BMI. Increase in breast density was associated with an increased breast cancer risk in all BMI categories: among women with BMI <23, those with heterogeneous/extreme density had a 2.98-fold (95% CI: 2.23-3.80) increased risk of breast cancer compared to those with entirely fatty breasts. An increase in BMI was associated with increased breast cancer risk in women with the same breast density in all density categories. When the combined associations of breast density and BMI on the risk of breast cancer were considered, women with a BMI ≥25 and heterogeneous/extreme breast density had a 5.35-fold (95% CI: 4.26-6.72) increased risk of breast cancer compared to women with a BMI <23 and fatty breasts. Women aged ≥75 years, with dense breasts, regardless of BMI status, might benefit from a tailored screening strategy for early detection of breast cancer.
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Affiliation(s)
- Thi Xuan Mai Tran
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Soyeoun Kim
- Department of Health Sciences, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Huiyeon Song
- Department of Epidemiology and Biostatistics, Graduate School of Public Health, Hanyang University, Seoul, Republic of Korea
| | - Boyoung Park
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
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20
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Mathur A, Taurin S. What influence does mammographic density have on breast cancer occurrence? Expert Rev Anticancer Ther 2022; 22:445-447. [PMID: 35416087 DOI: 10.1080/14737140.2022.2065985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Aanchal Mathur
- Department of Molecular Medicine, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
| | - Sebastien Taurin
- Department of Molecular Medicine, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
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21
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Affiliation(s)
- Claudia Mello-Thoms
- Carver College of Medicine, Department of Radiology, University of Iowa, Iowa City
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22
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Tran TXM, Moon SG, Kim S, Park B. Association of the Interaction Between Mammographic Breast Density, Body Mass Index, and Menopausal Status With Breast Cancer Risk Among Korean Women. JAMA Netw Open 2021; 4:e2139161. [PMID: 34940866 PMCID: PMC8703253 DOI: 10.1001/jamanetworkopen.2021.39161] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
IMPORTANCE Evidence suggests that breast density and body mass index (BMI) are strong breast cancer risk factors; however, their interactive associations are unknown. Elucidation of these interactive associations may help to increase understanding of the causes of breast cancer and find effective interventions for susceptible subgroups. OBJECTIVE To explore the association of the interaction of mammographic breast density and BMI with breast cancer risks among premenopausal and postmenopausal women. DESIGN, SETTING, AND PARTICIPANTS This prospective observational cohort study used population-based data of the Korean National Cancer Screening Program embedded in the National Health Insurance Service database to evaluate the breast cancer risk of 3 248 941 premenopausal cancer-free women and 4 373 473 postmenopausal cancer-free women aged 40 years or older who underwent mammographic screening between January 1, 2009, and December 31, 2013, and were followed up until December 31, 2018. Statistical analysis was performed from June 1 to July 15, 2021. EXPOSURES Breast Imaging Reporting and Data System (BI-RADS)-defined breast density (with a scale from 1 to 4, where 1 indicates almost entirely fat, 2 indicates scattered fibroglandular densities, 3 indicates heterogeneously dense tissue, and 4 indicates extremely dense tissue) and BMI levels classified according to the World Health Organization Asia-Pacific Region classification. MAIN OUTCOMES AND MEASURES Adjusted relative risk (aRR) of breast cancer during the follow-up period and interactions in additive and multiplicative scales. The study end point was the development of breast cancer. RESULTS Of 3 248 941 premenopausal women (mean [SD] age, 44.6 [4.3] years) and 4 373 473 postmenopausal women (mean [SD] age, 59.6 [8.4] years) aged 40 years or older, 34 466 cases of breast cancer were identified among the premenopausal women, and 30 816 cases of breast cancer were identified among the postmenopausal women. Increased breast density was associated with an increased risk of breast cancer in both premenopausal and postmenopausal women across the BMI categories. Among premenopausal women, those in BI-RADS category 4 had an approximately 2-fold higher risk of breast cancer irrespective of BMI (all women: aRR, 2.36 [95% CI, 2.24-2.49]; underweight: aRR, 1.80 [95% CI, 1.25-2.59]; normal weight: aRR, 2.10 [95% CI, 1.93-2.28]; overweight: aRR, 2.47 [95% CI, 2.27-2.68]; obese: aRR, 2.87 [95% CI, 2.49-3.32]) than those with underweight status and in BI-RADS category 1. However, an association between BMI and the risk of breast cancer was found only in the postmenopausal women in all breast density categories compared with underweight women with BI-RADS category 1 (BI-RADS category 4, all women: aRR, 2.91 [95% CI, 2.78-3.04]; underweight: aRR, 2.74 [95% CI, 1.89-3.98]; normal weight: aRR, 3.05 [95% CI, 2.82-3.30]; overweight: aRR, 2.85 [95% CI, 2.67-3.04]; obese: aRR, 2.52 [95% CI, 2.22-2.88]). When the combined associations of breast density and BMI with the risk of breast cancer were considered, a high breast density and high BMI had a significant positive interaction on the additive scale for both premenopausal and postmenopausal women, especially the latter (premenopausal women: adjusted relative excess risk due to interaction, 0.53 [95% CI, 0.35-0.71]; postmenopausal women: adjusted relative excess risk due to interaction, 1.68 [95% CI, 1.26-2.10]). CONCLUSIONS AND RELEVANCE This study suggests that breast density and BMI interact synergistically to augment breast cancer risk, with a stronger association found among postmenopausal women. Both factors should be incorporated into risk stratification in a population-based screening for public health significance. Women with overweight or obesity and dense breast tissue might benefit from tailored early screening strategies to detect breast cancer.
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Affiliation(s)
- Thi Xuan Mai Tran
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Seong-Geun Moon
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Soyeoun Kim
- Department of Health Sciences, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Boyoung Park
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
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23
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Lelièvre SA. Can the epigenome contribute to risk stratification for cancer onset? NAR Cancer 2021; 3:zcab043. [PMID: 34734185 PMCID: PMC8559165 DOI: 10.1093/narcan/zcab043] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/10/2021] [Accepted: 10/27/2021] [Indexed: 12/12/2022] Open
Abstract
The increasing burden of cancer requires identifying and protecting individuals at highest risk. The epigenome provides an indispensable complement to genetic alterations for a risk stratification approach for the following reasons: gene transcription necessary for cancer onset is directed by epigenetic modifications and many risk factors studied so far have been associated with alterations related to the epigenome. The risk level depends on the plasticity of the epigenome during phases of life particularly sensitive to environmental and dietary impacts. Modifications in the activity of DNA regulatory regions and altered chromatin compaction may accumulate, hence leading to the increase of cancer risk. Moreover, tissue architecture directs the unique organization of the epigenome for each tissue and cell type, which allows the epigenome to control cancer risk in specific organs. Investigations of epigenetic signatures of risk should help identify a continuum of alterations leading to a threshold beyond which the epigenome cannot maintain homeostasis. We propose that this threshold may be similar in the population for a given tissue, but the pace to reach this threshold will depend on the combination of germline inheritance and the risk and protective factors encountered, particularly during windows of epigenetic susceptibility, by individuals.
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Affiliation(s)
- Sophie A Lelièvre
- Institut de Cancérologie de l'Ouest (ICO)-Western Cancer Institute, Scientific Direction for Translational Research, Angers, France
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24
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Bacha RH, Jabir YN, Asebot AG, Liga AD. Risk Factors Affecting Survival Time of Breast Cancer Patients: The case of Southwest Ethiopia. J Res Health Sci 2021; 21:e00532. [PMID: 36511228 PMCID: PMC8957664 DOI: 10.34172/jrhs.2021.65] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/27/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Breast cancer is one of the non-communicable diseases and the main origin of the loss of life in the world. In Ethiopia, breast cancer is the second common cancer health problem for women. The main objective of this study was to identify the potential risk factors affecting the survival time of breast cancer patients in Southwest Ethiopia. STUDY DESIGN A retrospective study design. METHODS The data were taken from the patients' medical records that registered from January 1, 2015, to January 31, 2020. A retrospective study design was used in this study. Different shared frailty survival models were employed to analyze the dataset. RESULTS Out of 642 recorded breast cancer patients, 447(69.6%) cases died during the study period, and 195 (30.4%) patients lost follow-up for unknown reasons. The median time to death for breast cancer patients was 10 months, and hospitals were used as a cluster effect. The result revealed that women with no smoking habit had about 3.35 times higher survival time than patients who had a smoking habit, and as breast cancer patients age increased, the survival time decreased by 0.99. Moreover, breast cancer patients in rural areas had about 0.14 times lower survival time, compared to breast cancer patients who were urban residents. CONCLUSIONS Age, place of residence, treatment taken, stage, histologic grade, tumor size, oral contraceptives, and smoking habits led to a shorter survival time. To reduce the burden of breast cancer, awareness should be given to the community.
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Affiliation(s)
- Reta Habtamu Bacha
- Department of Statistics, College of Natural Sciences, Jimma University, Jimma, Ethiopia
,Correspondence: Reta Habtamu Bacha (MSc) Tel: +25 1912237159 E-mail:
| | - Yasin Negash Jabir
- Department of Statistics, College of Natural Sciences, Jimma University, Jimma, Ethiopia
| | - Anberbir Girma Asebot
- Department of Obstetrics and Gynecology, Institute of Health Sciences, Jimma University, Jimma, Ethiopia
| | - Abebe Debu Liga
- Department of Statistics, College of Natural and Computational Sciences, Wolkite University, Wolkite, Ethiopia
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25
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Zunica ERM, Axelrod CL, Cho E, Spielmann G, Davuluri G, Alexopoulos SJ, Beretta M, Hoehn KL, Dantas WS, Stadler K, King WT, Pergola K, Irving BA, Langohr IM, Yang S, Hoppel CL, Gilmore LA, Kirwan JP. Breast cancer growth and proliferation is suppressed by the mitochondrial targeted furazano[3,4-b]pyrazine BAM15. Cancer Metab 2021; 9:36. [PMID: 34627389 PMCID: PMC8502397 DOI: 10.1186/s40170-021-00274-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 09/22/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Enhanced metabolic plasticity and diversification of energy production is a hallmark of highly proliferative breast cancers. This contributes to poor pharmacotherapy efficacy, recurrence, and metastases. We have previously identified a mitochondrial-targeted furazano[3,4-b]pyrazine named BAM15 that selectively reduces bioenergetic coupling efficiency and is orally available. Here, we evaluated the antineoplastic properties of uncoupling oxidative phosphorylation from ATP production in breast cancer using BAM15. METHODS The anticancer effects of BAM15 were evaluated in human triple-negative MDA-MB-231 and murine luminal B, ERα-negative EO771 cells as well as in an orthotopic allograft model of highly proliferative mammary cancer in mice fed a standard or high fat diet (HFD). Untargeted transcriptomic profiling of MDA-MB-231 cells was conducted after 16-h exposure to BAM15. Additionally, oxidative phosphorylation and electron transfer capacity was determined in permeabilized cells and excised tumor homogenates after treatment with BAM15. RESULTS BAM15 increased proton leak and over time, diminished cell proliferation, migration, and ATP production in both MDA-MB-231 and EO771 cells. Additionally, BAM15 decreased mitochondrial membrane potential, while inducing apoptosis and reactive oxygen species accumulation in MDA-MB-231 and EO771 cells. Untargeted transcriptomic profiling of MDA-MB-231 cells further revealed inhibition of signatures associated with cell survival and energy production by BAM15. In lean mice, BAM15 lowered body weight independent of food intake and slowed tumor progression compared to vehicle-treated controls. In HFD mice, BAM15 reduced tumor growth relative to vehicle and calorie-restricted weight-matched controls mediated in part by impaired cell proliferation, mitochondrial respiratory function, and ATP production. LC-MS/MS profiling of plasma and tissues from BAM15-treated animals revealed distribution of BAM15 in adipose, liver, and tumor tissue with low abundance in skeletal muscle. CONCLUSIONS Collectively, these data indicate that mitochondrial uncoupling may be an effective strategy to limit proliferation of aggressive forms of breast cancer. More broadly, these findings highlight the metabolic vulnerabilities of highly proliferative breast cancers which may be leveraged in overcoming poor responsiveness to existing therapies.
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Affiliation(s)
- Elizabeth R M Zunica
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, 70808, USA.,Department of Nutrition, Case Western Reserve University, Cleveland, OH, 44109, USA.,Clinical Oncology and Metabolism, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Christopher L Axelrod
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, 70808, USA.,Department of Translational Services, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Eunhan Cho
- School of Kinesiology, Louisiana State University, Baton Rouge, LA, USA
| | | | - Gangarao Davuluri
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, 70808, USA.,Sarcopenia and Malnutrition Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Stephanie J Alexopoulos
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Martina Beretta
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Kyle L Hoehn
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Wagner S Dantas
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, 70808, USA
| | - Krisztian Stadler
- Department of Oxidative Stress and Disease, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - William T King
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, 70808, USA.,Department of Translational Services, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Kathryn Pergola
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, 70808, USA.,Department of Translational Services, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Brian A Irving
- School of Kinesiology, Louisiana State University, Baton Rouge, LA, USA
| | - Ingeborg M Langohr
- Department of Pathobiological Sciences, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Shengping Yang
- Department of Biostatistics, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Charles L Hoppel
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, 70808, USA.,Department of Pharmacology, Case Western Reserve University, Cleveland, OH, 44109, USA
| | - L Anne Gilmore
- Clinical Oncology and Metabolism, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.,Department of Clinical Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - John P Kirwan
- Integrated Physiology and Molecular Medicine Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, 70808, USA. .,Department of Nutrition, Case Western Reserve University, Cleveland, OH, 44109, USA. .,Department of Translational Services, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
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26
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Risk factors for breast cancer subtypes among Black women undergoing screening mammography. Breast Cancer Res Treat 2021; 189:827-835. [PMID: 34342765 DOI: 10.1007/s10549-021-06340-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/24/2021] [Indexed: 01/16/2023]
Abstract
PURPOSE Black women are more likely than non-Hispanic White women to be diagnosed with triple negative breast cancer (TNBC), an aggressive subtype with limited treatment options. The study objective was to evaluate the associations of known breast cancer risk factors, including breast density, with TNBC among Black women. METHODS This study included Black women who underwent screening mammography between the ages of 40-84 years at a University of Pennsylvania Health System between 2010 and 2015. Cox proportional hazard models using multiple imputation with chained equations were used to estimate hazard ratios and 95% confidence intervals for risk factors for ER/PR+/HER2- and TNBC. RESULTS Among 25,013 Black women, there were 330 incident breast cancers (1.3%) during a mean follow-up of 5.8 years; 218 (66.1%) ER/PR+ HER- and 61 (18.1%) TNBC. Having dense breasts (heterogeneously dense or extremely dense) vs. non-dense breasts (almost entirely fatty or scattered areas of fibroglandular density) increased risk of ER/PR+/HER2- breast cancer almost 80% (HR 1.79, 95% CI 1.32-2.43) and TNBC more than twofold (HR 2.53, 1.45-4.44). Older age was associated with an increased risk for ER/PR+/HER2- (HR 1.04, 1.03-1.06) and TNBC (HR 1.03, 1.00-1.05). Having a BMI of > 30 kg/m2 was associated with an increased risk (HR 2.77, 1.05-7.30) for TNBC and an increased risk of ERPR+/HER2- breast cancer in postmenopausal but not pre-menopausal women (p-interaction = 0.016). CONCLUSION Our results suggest that breast density and obesity are strong risk factors for TNBC among Black women. Understanding breast cancer subtype specific risk factors among Black women can help improve risk assessment.
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García-Estévez L, Cortés J, Pérez S, Calvo I, Gallegos I, Moreno-Bueno G. Obesity and Breast Cancer: A Paradoxical and Controversial Relationship Influenced by Menopausal Status. Front Oncol 2021; 11:705911. [PMID: 34485137 PMCID: PMC8414651 DOI: 10.3389/fonc.2021.705911] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/22/2021] [Indexed: 12/27/2022] Open
Abstract
Breast cancer is the most common tumor in women worldwide, and an increasing public health concern. Knowledge of both protective and negative risk factors is essential for a better understanding of this heterogenous disease. We undertook a review of the recent literature and evaluated the relationship between obesity mediators and breast cancer development depending on menopausal status. Excess weight is now pandemic and has replaced tobacco as the main lifestyle-related risk factor for premature death. Although the prevalence of obesity/overweight has increased globally over the last 50 years, the potential harm attributable to excess fat has generally been underestimated. The relationship between overweight/obesity, breast cancer and overall risk appears to be highly dependent on menopausal status. Thus, obesity increases the risk of breast cancer in postmenopausal women but, conversely, it appears to be protective in premenopausal women. We evaluate the role of different clinical factors potentially involved in this seemingly contradictory relationship, including estrogen, mammogram density, adipokines, insulin-signaling pathway activation, and inflammatory status. A key focus of this review is to better understand the impact of body mass index and menopausal status on these clinical factors and, hence, provide some clarity into the inter-relationships involved in this controversial issue.
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Affiliation(s)
- Laura García-Estévez
- Breast Cancer Department, MD Anderson Cancer Center, Madrid, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Javier Cortés
- International Breast Cancer Center (IBCC), Barcelona, Spain.,Medical Scientia Innovation Research (MedSIR), Barcelona, Spain.,Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Silvia Pérez
- Breast Cancer Department, MD Anderson Cancer Center, Madrid, Spain
| | - Isabel Calvo
- Breast Cancer Department, MD Anderson Cancer Center, Madrid, Spain
| | - Isabel Gallegos
- Breast Cancer Department, MD Anderson Cancer Center, Madrid, Spain
| | - Gema Moreno-Bueno
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,Biochemistry Department, Universidad Autónoma de Madrid (UAM), Instituto de Investigaciones Biomédicas 'Alberto Sols' (CSIC-UAM), IdiPaz, & Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,MD Anderson International Foundation, Madrid, Spain
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28
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McCarthy AM, Friebel-Klingner T, Ehsan S, He W, Welch M, Chen J, Kontos D, Domchek SM, Conant EF, Semine A, Hughes K, Bardia A, Lehman C, Armstrong K. Relationship of established risk factors with breast cancer subtypes. Cancer Med 2021; 10:6456-6467. [PMID: 34464510 PMCID: PMC8446564 DOI: 10.1002/cam4.4158] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/02/2021] [Accepted: 07/07/2021] [Indexed: 01/07/2023] Open
Abstract
Background Breast cancer is a heterogeneous disease, divided into subtypes based on the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Subtypes have different biology and prognosis, with accumulating evidence of different risk factors. The purpose of this study was to compare breast cancer risk factors across tumor subtypes in a large, diverse mammography population. Methods Women aged 40–84 without a history of breast cancer with a screening mammogram at three United States health systems from 2006 to 2015 were included. Risk factor questionnaires were completed at mammogram visit, supplemented by electronic health records. Invasive tumor subtype was defined by immunohistochemistry as ER/PR+HER2−, ER/PR+HER2+, ER, and PR−HER2+, or triple‐negative breast cancer (TNBC). Cox proportional hazards models were run for each subtype. Associations of race, reproductive history, prior breast problems, family history, breast density, and body mass index (BMI) were assessed. The association of tumor subtypes with screen detection and interval cancer was assessed using logistic regression among invasive cases. Results The study population included 198,278 women with a median of 6.5 years of follow‐up (IQR 4.2–9.0 years). There were 4002 invasive cancers, including 3077 (77%) ER/PR+HER2−, 300 (8%) TNBC, 342 (9%) ER/PR+HER2+, and 126 (3%) ER/PR−HER2+ subtype. In multivariate models, Black women had 2.7 times higher risk of TNBC than white women (HR = 2.67, 95% CI 1.99–3.58). Breast density was associated with increased risk of all subtypes. BMI was more strongly associated with ER/PR+HER2− and HER2+ subtypes among postmenopausal women than premenopausal women. Breast density was more strongly associated with ER/PR+HER2− and TNBC among premenopausal than postmenopausal women. TNBC was more likely to be interval cancer than other subtypes. Conclusions These results have implications for risk assessment and understanding of the etiology of breast cancer subtypes. More research is needed to determine what factors explain the higher risk of TNBC for Black women.
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Affiliation(s)
- Anne Marie McCarthy
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | | | - Sarah Ehsan
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Wei He
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Jinbo Chen
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Despina Kontos
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Susan M Domchek
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Emily F Conant
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Alan Semine
- Newton Wellesley Hospital, Newton, Massachusetts, USA
| | - Kevin Hughes
- Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Aditya Bardia
- Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Constance Lehman
- Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Katrina Armstrong
- Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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Pal Mudaranthakam D, Park M, Thompson J, Alsup AM, Krebill R, Chollet Hinton L, Hu J, Gajewski B, Godwin A, Mayo MS, Wick J, Harlan-Williams L, He J, Gurley-Calvez T. A framework for personalized mammogram screening. Prev Med Rep 2021; 23:101446. [PMID: 34168953 PMCID: PMC8209666 DOI: 10.1016/j.pmedr.2021.101446] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 06/01/2021] [Accepted: 06/05/2021] [Indexed: 11/28/2022] Open
Abstract
Breast cancer screening guidelines serve as crucial evidence-based recommendations in deciding when to begin regular screenings. However, due to developments in breast cancer research and differences in research interpretation, screening guidelines can vary between organizations and within organizations over time. This leads to significant lapses in adopting updated guidelines, variable decision making between physicians, and unnecessary screening for low to moderate risk patients (Jacobson and Kadiyala, 2017; Corbelli et al., 2014). For analysis, risk factors were assessed for patient screening behaviors and results. The outcome variable for the first analysis was whether the patient had undergone screening. The risk factors considered were age, marital status, education level, rural versus urban residence, and family history of breast cancer. The outcome variable for the second analysis was whether patients who had undergone breast cancer screening presented abnormal results. The risk factors considered were age, Body Mass Index, family history, smoking and alcohol status, hormonal contraceptive use, Hormone Replacement Therapy use, age of first pregnancy, number of pregnancies (parity), age of first menses, rural versus urban residence, and whether or not patients had at least one child. Logistic regression analysis displayed strong associations for both outcome variables. Risk of screening nonattendance was negatively associated with age as a continuous variable, age as a dichotomous variable, being married, any college education, and family history. Risk of one or more abnormal mammogram findings was positively associated with family history, and hormonal contraceptive use. This procedure will be further developed to incorporate additional risk factors and refine the analysis of currently implemented risk factors.
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Affiliation(s)
- Dinesh Pal Mudaranthakam
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Michele Park
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Jeffrey Thompson
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Alexander M. Alsup
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
| | - Ron Krebill
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
| | - Lynn Chollet Hinton
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Jinxiang Hu
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Byron Gajewski
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Andrew Godwin
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Matthew S Mayo
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Jo Wick
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
- The University of Kansas Cancer Center, Kansas City, KS, USA
| | - Lisa Harlan-Williams
- The University of Kansas Cancer Center, Kansas City, KS, USA
- Department of Anatomy and Cell Biology, University of Kansas, Medical Center, Kansas City, KS, USA
| | - Jianghua He
- Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA
| | - Tami Gurley-Calvez
- Population Health, University of Kansas, Medical Center, Kansas City, KS, USA
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30
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Wang Y, Men X, Gu Y, Wang H, Xu Z. Haplotype analysis on correlation between transcription factor 7-like 2 gene polymorphism and breast cancer risk. BMC Cancer 2021; 21:885. [PMID: 34340678 PMCID: PMC8327437 DOI: 10.1186/s12885-021-08571-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 06/02/2021] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Up to now, limited researches focused on the association between transcription factor 7-like 2 gene (TF7L2) gene single nucleotide polymorphisms (SNPs) and breast cancer (BC) risk. The aim of this study was to evaluate the associations between TF7L2 and BC risk in Chinese Han population. METHODS Logistic regression model was used to test the correlation between polymorphisms and BC risk. Strength of association was evaluated by odds ratio (OR) and 95% confidence interval (CI). Generalized multifactor dimensionality reduction (GMDR) was applied to analyze the SNP-SNP and gene-environment interaction. RESULTS Logistic regression analysis indicated that the BC risk was obviously higher in carriers of rs1225404 polymorphism C allele than that in TT genotype carriers (TC or CC versus TT), adjusted OR (95%CI) =1.40 (1.09-1.72). Additionally, we also discovered that people with rs7903146- T allele had an obviously higher risk of BC than people with CC allele (CT or TT versus CC), adjusted OR (95%CI) =1.44 (1.09-1.82). GMDR model was used to research the effect of interaction among 4 SNPs and environmental factors on BC risk. We discovered an important two-locus model (p = 0.0100) including rs1225404 and abdominal obesity, suggesting a potential gene-environment correlation between rs1225404 and abdominal obesity. In general, the cross-validation consistency of two-locus model was 10 of 10, and the testing accuracy was 0.632. Compared with subjects with normal waist circumference (WC) value and rs1225404 TT genotype, abdominal obese subjects with rs1225404 TC or CC genotype had the highest BC risk. After covariate adjustment, OR (95%CI) was 2.23 (1.62-2.89). Haplotype analysis indicated that haplotype containing rs1225404-T and rs7903146-C alleles were associated with higher BC risk. CONCLUSIONS C allele of rs1225404 and T allele of rs7903146, interaction between rs1225404 and abdominal obesity, rs1225404-T and rs7903146-C haplotype were all related to increased BC risk.
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Affiliation(s)
- Yang Wang
- Department of Galactophore Surgery, Weifang People's Hospital, No.151 Guangwen Street, Kuiwen District, Weifang, 261041, Shandong Province, People's Republic of China
| | - Xiaojuan Men
- Department of Galactophore Surgery, Weifang People's Hospital, No.151 Guangwen Street, Kuiwen District, Weifang, 261041, Shandong Province, People's Republic of China
| | - Yongxue Gu
- Department of Galactophore Surgery, Weifang People's Hospital, No.151 Guangwen Street, Kuiwen District, Weifang, 261041, Shandong Province, People's Republic of China
| | - Huidong Wang
- Department of Galactophore Surgery, Weifang People's Hospital, No.151 Guangwen Street, Kuiwen District, Weifang, 261041, Shandong Province, People's Republic of China
| | - Zhicai Xu
- Department of Galactophore Surgery, Weifang People's Hospital, No.151 Guangwen Street, Kuiwen District, Weifang, 261041, Shandong Province, People's Republic of China.
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Garzia NA, Cushing-Haugen K, Kensler TW, Tamimi RM, Harris HR. Adolescent and early adulthood inflammation-associated dietary patterns in relation to premenopausal mammographic density. Breast Cancer Res 2021; 23:71. [PMID: 34233736 PMCID: PMC8261986 DOI: 10.1186/s13058-021-01449-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 06/23/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Adolescence and early adulthood has been identified as a critical time window for establishing breast cancer risk. Mammographic density is an independent risk factor for breast cancer that may be influenced by diet, but there has been limited research conducted on the impact of diet on mammographic density. Thus, we sought to examine the association between adolescent and early adulthood inflammatory dietary patterns, which have previously been associated with breast cancer risk, and premenopausal mammographic density among women in the Nurses' Health Study II (NHSII). METHODS This study included control participants with premenopausal mammograms from an existing breast cancer case-control study nested within the NHSII who completed a Food Frequency Questionnaire in 1998 about their diet during high school (HS-FFQ) (n = 685) and/or a Food Frequency Questionnaire in 1991 (Adult-FFQ) when they were 27-44 years old (n = 1068). Digitized analog film mammograms were used to calculate the percent density, absolute dense, and non-dense areas. Generalized linear models were fit to evaluate the associations of a pro-inflammatory dietary pattern and the Alternative Healthy Eating Index (AHEI, an anti-inflammatory dietary pattern) with each breast density measure. RESULTS Significant associations were observed between an adolescent pro-inflammatory dietary pattern and mammographic density in some age-adjusted models; however, these associations did not remain after adjustment for BMI and other breast cancer risk factors. No associations were observed with the pro-inflammatory pattern or with the AHEI pattern in adolescence or early adulthood in fully adjusted models. CONCLUSIONS To our knowledge, this is the first study to evaluate the dietary patterns during adolescence and early adulthood in relation to mammographic density phenotypes. Our findings do not support an association between adolescent and early adulthood diet and breast density in mid-adulthood that is independent of BMI or other breast cancer risk factors.
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Affiliation(s)
- Nichole A Garzia
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109-1024, USA.
- Department of Epidemiology, School of Public Health, University of Washington, 3980 15th Ave. NE, Seattle, WA, 98195-002, USA.
| | - Kara Cushing-Haugen
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109-1024, USA
| | - Thomas W Kensler
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109-1024, USA
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115-6028, USA
- Department of Population Health Sciences, Weill Cornell Medicine, 1300 York Ave, New York, NY, 10065-4805, USA
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109-1024, USA
- Department of Epidemiology, School of Public Health, University of Washington, 3980 15th Ave. NE, Seattle, WA, 98195-002, USA
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Houghton SC, Hankinson SE. Cancer Progress and Priorities: Breast Cancer. Cancer Epidemiol Biomarkers Prev 2021; 30:822-844. [PMID: 33947744 PMCID: PMC8104131 DOI: 10.1158/1055-9965.epi-20-1193] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/13/2020] [Accepted: 02/19/2021] [Indexed: 12/24/2022] Open
Affiliation(s)
- Serena C Houghton
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts.
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts
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Mijic S, Dabrosin C. Platelet Activation In Situ in Breasts at High Risk of Cancer: Relationship with Mammographic Density and Estradiol. J Clin Endocrinol Metab 2021; 106:485-500. [PMID: 33180937 DOI: 10.1210/clinem/dgaa820] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Indexed: 12/21/2022]
Abstract
CONTEXT High mammographic density in postmenopausal women is an independent risk factor for breast cancer by undetermined mechanisms. No preventive therapy for this risk group is available. Activated platelets release growth factors that modulate the microenvironment into a protumorigenic state. Estrogens may affect the risk of breast cancer and platelet function. Whether platelets are activated in situ in breast cancer or in normal breast tissue at high risk of breast cancer and the association to estradiol remains elusive. OBJECTIVE To investigate whether platelets are activated in situ in breast cancers and in dense breast tissue of postmenopausal women and explore correlations between estradiol, released platelet factors, and inflammatory proteins. SETTING AND DESIGN Sampling of in vivo proteins was performed using microdialysis in a total of 71 women: 10 with breast cancer, 42 healthy postmenopausal women with different breast densities, and 19 premenopausal women. RESULTS Our data demonstrate increased levels of coagulation factors in dense breast tissue similar to that found in breast cancers, indicating excessive platelet activation. Premenopausal breasts exhibited similar levels of coagulation factors as postmenopausal dense breasts. Out of 13 coagulations factors that were upregulated in dense breasts, 5 exhibited significant correlations with estradiol, both locally in the breast and systemically. In breast tissue, positive correlations between coagulation factors and key inflammatory proteins and matrix metalloproteinases were detected. CONCLUSIONS Breast density, not estradiol, is the major determinant of local platelet activation. Inactivation of platelets may be a therapeutic strategy for cancer prevention in postmenopausal women with dense breasts.
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Affiliation(s)
- Sofija Mijic
- Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Charlotta Dabrosin
- Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
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34
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Tolessa L, Sendo EG, Dinegde NG, Desalew A. Risk Factors Associated with Breast Cancer among Women in Addis Ababa, Ethiopia: Unmatched Case-Control Study. Int J Womens Health 2021; 13:101-110. [PMID: 33500666 PMCID: PMC7822084 DOI: 10.2147/ijwh.s292588] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/01/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Breast cancer is a common public health problem and the main cause of cancer-related death worldwide. There is a paucity of evidence on the risk factors of breast cancer in Ethiopia. Therefore, we aimed to identify the risk factors of breast cancer among women in Addis Ababa, Ethiopia. METHODS We conducted an institutional-based unmatched case-control study with a sample of 348 women (116 cases and 232 controls). Participants were selected by a systematic random sampling technique. Data were collected using an interviewer-administered questionnaire. Data were entered using EpiData version 4.6 and analyzed using SPSS version 25. Multivariable analysis was carried out using the adjusted odds ratio (AOR) with a 95% confidence interval (CI). P-value of less than 0.05 was considered statistically significant. RESULTS The mean age (+SD) of the participants was 42.7 (±11.3) and 40.7 (±14.6) for the cases and controls, respectively. Early onset of menarche (AOR= 4.10; 95% CI: 1.84, 9.15), rural women (AOR= 3.64; 95% CI:1.38, 9.57), utilization of packed foods or drinks (AOR= 2.80; 95% CI:1.52, 5.15), and smoke-dried meat (AOR= 2.41; 95% CI:1.36, 4.27), family history of cancer (AOR= 2.11; 95% CI:1.04, 4.26), overweight and/or obesity (AOR= 2.38; 95% CI:1.31, 4.31), and women with one or less children (AOR= 1.86; 95% CI:1.01, 3.41) were associated factors with breast cancer risk. CONCLUSION In this study, early onset of menarche, rural women, utilization of packed foods or drinks and smoke-dried meat, family history of cancer, overweight and/or obesity, and women with one or fewer children were factors that increased breast cancer risk. Therefore, focusing on modifiable risk factors and increasing awareness of the community such as a healthy diet, promotion of breast self-examination, and creation of programs to increase women's knowledge is important to reduce the increasing burden of breast cancer.
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Affiliation(s)
- Lidia Tolessa
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Endalew Gemechu Sendo
- Department of Nursing and Midwifery, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia
| | - Negalign Getahun Dinegde
- Department of Nursing and Midwifery, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia
| | - Assefa Desalew
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
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Kleinstern G, Scott CG, Tamimi RM, Jensen MR, Pankratz VS, Bertrand KA, Norman AD, Visscher DW, Couch FJ, Brandt K, Shepherd J, Wu FF, Chen YY, Cummings SR, Winham S, Kerlikowske K, Vachon CM. Association of mammographic density measures and breast cancer "intrinsic" molecular subtypes. Breast Cancer Res Treat 2021; 187:215-224. [PMID: 33392844 DOI: 10.1007/s10549-020-06049-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 12/07/2020] [Indexed: 01/29/2023]
Abstract
PURPOSE We evaluated the association of percent mammographic density (PMD), absolute dense area (DA), and non-dense area (NDA) with risk of "intrinsic" molecular breast cancer (BC) subtypes. METHODS We pooled 3492 invasive BC and 10,148 controls across six studies with density measures from prediagnostic, digitized film-screen mammograms. We classified BC tumors into subtypes [63% Luminal A, 21% Luminal B, 5% HER2 expressing, and 11% as triple negative (TN)] using information on estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and tumor grade. We used polytomous logistic regression to calculate odds ratio (OR) and 95% confidence intervals (CI) for density measures (per SD) across the subtypes compared to controls, adjusting for age, body mass index and study, and examined differences by age group. RESULTS All density measures were similarly associated with BC risk across subtypes. Significant interaction of PMD by age (P = 0.001) was observed for Luminal A tumors, with stronger effect sizes seen for younger women < 45 years (OR = 1.69 per SD PMD) relative to women of older ages (OR = 1.53, ages 65-74, OR = 1.44 ages 75 +). Similar but opposite trends were seen for NDA by age for risk of Luminal A: risk for women: < 45 years (OR = 0.71 per SD NDA) was lower than older women (OR = 0.83 and OR = 0.84 for ages 65-74 and 75 + , respectively) (P < 0.001). Although not significant, similar patterns of associations were seen by age for TN cancers. CONCLUSIONS Mammographic density measures were associated with risk of all "intrinsic" molecular subtypes. However, findings of significant interactions between age and density measures may have implications for subtype-specific risk models.
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Affiliation(s)
- Geffen Kleinstern
- School of Public Health, University of Haifa, Haifa, Israel
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Christopher G Scott
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Matthew R Jensen
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA
| | | | - Kimberly A Bertrand
- Slone Epidemiology Center, Boston University School of Medicine, Boston, MA, USA
| | - Aaron D Norman
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Daniel W Visscher
- Department of Anatomic Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Kathleen Brandt
- Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | | | - Fang-Fang Wu
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First St. SW, Rochester, MN, 55905, USA
| | - Yunn-Yi Chen
- Department of Pathology and Laboratory Services, University of California, San Francisco, CA, USA
| | - Steven R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Stacey Winham
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Karla Kerlikowske
- Departments of Epidemiology and Biostatistics and General Internal Medicine Section, Department of Veterans Affairs, University of California, San Francisco, CA, USA
| | - Celine M Vachon
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First St. SW, Rochester, MN, 55905, USA.
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Leng W, Pu D, Jiang J, Lei X, Wu Q, Chen B. Effect of Metformin on Breast Density in Overweight/Obese Premenopausal Women. Diabetes Metab Syndr Obes 2021; 14:4423-4432. [PMID: 34764661 PMCID: PMC8572728 DOI: 10.2147/dmso.s330625] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/23/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND This study investigated the effects of metformin on breast density in overweight/obese premenopausal women. METHODS Overweight/obese premenopausal women (n=120) were randomly assigned to the metformin or placebo group, and all women received lifestyle interventions. The outcomes included weight, BMI, FPG, FIN, glucose, HOMA-IR, LDL-C, HDL-C, TG, TC, SBP, DBP, FSH, E, AD, and the BIRADS grade, and the incidence of breast cancer was assessed by pathological biopsy and BIRADS grade greater than 4. RESULTS In total, 120 overweight/obese women completed the 1-year trial. Seven patients had a BIRADS grade greater than 4, including 5 patients who were biopsy positive, in the control group, and 2 patients had a BIRADS grade greater than 4, including 1 patient who was biopsy positive, in the metformin group. Compared with those in the control group, the body weight, BMI, FIN, FPG, HOMA-IR, TC, BIRADS grade and positive pathological biopsy rate in the metformin group were significantly decreased (P<0.05), while AD was significantly increased (P<0.05). The correlation analysis indicated that the BIRADS grade was significantly correlated with weight, BMI, FPG, FIN, HOMA-IR, SBP, AD and the positive pathological biopsy rate, and the positive pathological biopsy rate was significantly correlated with weight, BMI, HOMA-IR, SBP, AD and BIRADS grade. The logistic regression analysis revealed that the BIRADS grade was significantly correlated with the positive pathological biopsy rate and AD and that the positive pathological biopsy rate was significantly correlated with the BIRADS grade. CONCLUSION As adjunctive therapy, the combination of lifestyle changes and metformin was found to be a safe strategy for improving related metabolic markers and increasing adiponectin. The BIRADS grade was significantly correlated with the positive pathological biopsy rate and AD, and the positive pathological biopsy rate was significantly correlated with the BIRADS grade.
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Affiliation(s)
- Weiling Leng
- Endocrinology Department, The First Affiliated Hospital of the Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
| | - Danlan Pu
- Endocrinology and Nephrology Department, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Juan Jiang
- Endocrinology and Nephrology Department, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Xiaotian Lei
- Endocrinology Department, The First Affiliated Hospital of the Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
| | - Qinan Wu
- Endocrinology Department, Chongqing Medical University Affiliated Dazu Hospital, Dazu District People’s Hospital, Chongqing, People’s Republic of China
- Correspondence: Qinan Wu; Bing Chen Email ;
| | - Bing Chen
- Endocrinology Department, The First Affiliated Hospital of the Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China
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Taurin S, Alkhalifa H. Breast cancers, mammary stem cells, and cancer stem cells, characteristics, and hypotheses. Neoplasia 2020; 22:663-678. [PMID: 33142233 PMCID: PMC7586061 DOI: 10.1016/j.neo.2020.09.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/25/2020] [Accepted: 09/27/2020] [Indexed: 12/12/2022]
Abstract
The cellular heterogeneity of breast cancers still represents a major therapeutic challenge. The latest genomic studies have classified breast cancers in distinct clusters to inform the therapeutic approaches and predict clinical outcomes. The mammary epithelium is composed of luminal and basal cells, and this seemingly hierarchical organization is dependent on various stem cells and progenitors populating the mammary gland. Some cancer cells are conceptually similar to the stem cells as they can self-renew and generate bulk populations of nontumorigenic cells. Two models have been proposed to explain the cell of origin of breast cancer and involve either the reprogramming of differentiated mammary cells or the dysregulation of mammary stem cells or progenitors. Both hypotheses are not exclusive and imply the accumulation of independent mutational events. Cancer stem cells have been isolated from breast tumors and implicated in the development, metastasis, and recurrence of breast cancers. Recent advances in single-cell sequencing help deciphering the clonal evolution within each breast tumor. Still, few clinical trials have been focused on these specific cancer cell populations.
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Affiliation(s)
- Sebastien Taurin
- Department of Molecular Medicine, College of Medicine and Medical Sciences, Princess Al-Jawhara Center for Molecular Medicine and Inherited Disorders, Arabian Gulf University, Manama, Bahrain.
| | - Haifa Alkhalifa
- New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
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Murillo-Ortiz B, Hernández-Ramírez A, Rivera-Villanueva T, Suárez-García D, Murguía-Pérez M, Martínez-Garza S, Rodríguez-Penin A, Romero-Coripuna R, López-Partida XM. Monofrequency electrical impedance mammography (EIM) diagnostic system in breast cancer screening. BMC Cancer 2020; 20:876. [PMID: 32928153 PMCID: PMC7489016 DOI: 10.1186/s12885-020-07283-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 08/10/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Some evidence has shown that malignant breast tumours have lower electrical impedance than surrounding normal tissues. Electrical impedance could be used as an indicator for breast cancer detection. The purpose of our study was to analyse the sensitivity and specificity of electrical impedance mammography (EIM) and its implementation for the differential diagnosis of pathological lesions of the breast, either alone or in combination with mammography/ultrasound, in 1200 women between 25 and 70 years old. METHODS This study is a prospective, cross-sectional epidemiological observational study of serial screening. The women were invited to participate and signed a consent letter. Impedance imaging of the mammary gland was evaluated with the computerized mammography equipment of MEIK electroimpedance v.5.6. (0.5 mA, 50 kHz), developed and manufactured by PKF SIM-Technika®. The successful identification of breast cancer along with the sensitivity, specificity, and positive and negative predictive values of EIM were determined as follows: % sensitivity; % specificity; % positive predictive value (PPV); and % negative predictive value (NPV). RESULTS EIM had a sensitivity of 85% and a specificity of 96%; the positive predictive value was 12%, and the negative predictive value was 99%. Seven cases were biopsy confirmed cancers. Significant correlations between the electrical conductivity index and body mass index (BMI) (p = 0.04) and patient age were observed (p = 0.01). We also observed that the average conductivity distribution increased according to age group (p = 0.001). We used the chi-squared test to assess the interactions between percent density and BMI (normal < 25 kg/m2 (n = 310), overweight 25-29.9 kg/m2 (n = 418) and obese ≥30 (n = 437)) (p < 0.05). The patients with a diagnosis of mammary carcinoma had a BMI of 35.51 kg/m2. CONCLUSIONS Our results demonstrate that the use of monofrequency electrical impedance mammography (EIM) in the detection of breast cancer had a sensitivity and specificity of 85 and 96%, respectively. These findings may support future research in the early detection of breast cancer. EIM is a non-radiation method that may also be used as a screening method for young women with dense breasts and a high risk of developing breast cancer.
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Affiliation(s)
- Blanca Murillo-Ortiz
- Unidad de Investigación en Epidemiología Clínica, Unidad Médica de Alta Especialidad No. 1 Bajío, Instituto Mexicano del Seguro Social, B. López Mateos Esq. Insurgentes S/N, Colonia: Los Paraísos, CP 37320, Leon, Guanajuato, Mexico.
| | - Abraham Hernández-Ramírez
- Servicio de Radiología e Imagen Unidad Médica de Alta Especialidad No. 48, Instituto Mexicano del Seguro Social, Leon, Guanajuato, Mexico
| | - Talia Rivera-Villanueva
- Departamento de Radiología, Hospital General de Zona No. 58, Delegación Guanajuato, Instituto Mexicano del Seguro Social, Leon, Guanajuato, Mexico
| | - David Suárez-García
- Departamento de Oncología, Unidad Médica de Alta Especialidad No. 1 Bajío, Leon, Guanajuato, Mexico
| | - Mario Murguía-Pérez
- Departamento de Patología, Unidad Médica de Alta Especialidad No. 1 Bajío, Instituto Mexicano del Seguro Social, Leon, Guanajuato, Mexico
| | - Sandra Martínez-Garza
- Unidad de Investigación en Epidemiología Clínica, Unidad Médica de Alta Especialidad No. 1 Bajío, Instituto Mexicano del Seguro Social, B. López Mateos Esq. Insurgentes S/N, Colonia: Los Paraísos, CP 37320, Leon, Guanajuato, Mexico
| | - Allyson Rodríguez-Penin
- Unidad de Investigación en Epidemiología Clínica, Unidad Médica de Alta Especialidad No. 1 Bajío, Instituto Mexicano del Seguro Social, B. López Mateos Esq. Insurgentes S/N, Colonia: Los Paraísos, CP 37320, Leon, Guanajuato, Mexico
| | - Rosario Romero-Coripuna
- Unidad de Investigación en Epidemiología Clínica, Unidad Médica de Alta Especialidad No. 1 Bajío, Instituto Mexicano del Seguro Social, B. López Mateos Esq. Insurgentes S/N, Colonia: Los Paraísos, CP 37320, Leon, Guanajuato, Mexico
| | - Xiomara Midory López-Partida
- Unidad de Medicina Familiar No. 51, Delegación Guanajuato, Instituto Mexicano del Seguro Social, Leon, Guanajuato, Mexico
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Menopausal Transition, Body Mass Index, and Prevalence of Mammographic Dense Breasts in Middle-Aged Women. J Clin Med 2020; 9:jcm9082434. [PMID: 32751482 PMCID: PMC7465213 DOI: 10.3390/jcm9082434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/24/2020] [Accepted: 07/28/2020] [Indexed: 12/12/2022] Open
Abstract
The interrelationship between menopausal stage, excessive adiposity and dense breasts remains unclear. We aimed to investigate the relationship between menopausal stage and dense-breast prevalence in midlife women while considering a possible effect modification of being overweight. The present cross-sectional study comprised 82,677 Korean women, aged 35–65 years, who attended a screening exam. Menopausal stages were categorized based on the Stages of Reproductive Aging Workshop (STRAW + 10) criteria. Mammographic breast density was categorized according to Breast Imaging Reporting and Data System (BI-RADS). Dense breasts were defined as BI-RADS Breast Density category D (extremely dense). The prevalence of dense breasts decreased as menopausal stage increased (p-trend < 0.001), and this pattern was pronounced in overweight women than non-overweight women (p-interaction = 0.016). Compared with pre-menopause, the multivariable-adjusted prevalence ratios (and 95% confidence intervals) for dense breasts were 0.98 (0.96–1.00) in early transition, 0.89 (0.86–0.92) in late transition, and 0.55 (0.52–0.59) in post-menopause, among non-overweight women, while corresponding prevalence ratios were 0.92 (0.87–0.98), 0.83 (0.77–0.90) and 0.36 (0.31–0.41) among overweight women. The prevalence of dense breasts was inversely associated with increasing menopausal stages and significantly decreased from the late menopausal transition, with stronger declines among overweight women.
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Bissell MCS, Kerlikowske K, Sprague BL, Tice JA, Gard CC, Tossas KY, Rauscher GH, Trentham-Dietz A, Henderson LM, Onega T, Keegan THM, Miglioretti DL. Breast Cancer Population Attributable Risk Proportions Associated with Body Mass Index and Breast Density by Race/Ethnicity and Menopausal Status. Cancer Epidemiol Biomarkers Prev 2020; 29:2048-2056. [PMID: 32727722 DOI: 10.1158/1055-9965.epi-20-0358] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/01/2020] [Accepted: 07/22/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Overweight/obesity and dense breasts are strong breast cancer risk factors whose prevalences vary by race/ethnicity. The breast cancer population attributable risk proportions (PARP) explained by these factors across racial/ethnic groups are unknown. METHODS We analyzed data collected from 3,786,802 mammography examinations (1,071,653 women) in the Breast Cancer Surveillance Consortium, associated with 21,253 invasive breast cancers during a median of 5.2 years follow-up. HRs for body mass index (BMI) and breast density, adjusted for age and registry were estimated using separate Cox regression models by race/ethnicity (White, Black, Hispanic, Asian) and menopausal status. HRs were combined with observed risk-factor proportions to calculate PARPs for shifting overweight/obese to normal BMI and shifting heterogeneously/extremely dense to scattered fibroglandular densities. RESULTS The prevalences and HRs for overweight/obesity and heterogeneously/extremely dense breasts varied across races/ethnicities and menopausal status. BMI PARPs were larger for postmenopausal versus premenopausal women (12.0%-28.3% vs. 1.0%-9.9%) and nearly double among postmenopausal Black women (28.3%) than other races/ethnicities (12.0%-15.4%). Breast density PARPs were larger for premenopausal versus postmenopausal women (23.9%-35.0% vs. 13.0%-16.7%) and lower among premenopausal Black women (23.9%) than other races/ethnicities (30.4%-35.0%). Postmenopausal density PARPs were similar across races/ethnicities (13.0%-16.7%). CONCLUSIONS Overweight/obesity and dense breasts account for large proportions of breast cancers in White, Black, Hispanic, and Asian women despite large differences in risk-factor distributions. IMPACT Risk prediction models should consider how race/ethnicity interacts with BMI and breast density. Efforts to reduce BMI could have a large impact on breast cancer risk reduction, particularly among postmenopausal Black women.
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Affiliation(s)
- Michael C S Bissell
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis School of Medicine, Davis, California.
| | - Karla Kerlikowske
- General Internal Medicine Section, Department of Veteran Affairs and Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Brian L Sprague
- Department of Surgery, Office of Health Promotion Research, Larner College of Medicine at the University of Vermont and University of Vermont Cancer Center, Burlington, Vermont
| | - Jeffery A Tice
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Charlotte C Gard
- Department of Economics, Applied Statistics, and International Business, New Mexico State University, Las Cruces, New Mexico
| | - Katherine Y Tossas
- Department of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Garth H Rauscher
- Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, Illinois
| | - Amy Trentham-Dietz
- Department of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - Louise M Henderson
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Tracy Onega
- Department of Biomedical Data Science, Dartmouth College, Lebanon, New Hampshire
| | - Theresa H M Keegan
- Center for Oncology Hematology Outcomes Research and Training (COHORT) and Division of Hematology and Oncology, University of California Davis School of Medicine, Sacramento, California
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Hillers-Ziemer LE, Arendt LM. Weighing the Risk: effects of Obesity on the Mammary Gland and Breast Cancer Risk. J Mammary Gland Biol Neoplasia 2020; 25:115-131. [PMID: 32519090 PMCID: PMC7933979 DOI: 10.1007/s10911-020-09452-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/02/2020] [Accepted: 06/03/2020] [Indexed: 12/17/2022] Open
Abstract
Obesity is a preventable risk factor for breast cancer following menopause. Regardless of menopausal status, obese women who develop breast cancer have a worsened prognosis. Breast tissue is comprised of mammary epithelial cells organized into ducts and lobules and surrounded by adipose-rich connective tissue. Studies utilizing multiple in vivo models of obesity as well as human breast tissue have contributed to our understanding of how obesity alters mammary tissue. Localized changes in mammary epithelial cell populations, elevated secretion of adipokines and angiogenic mediators, inflammation within mammary adipose tissue, and remodeling of the extracellular matrix may result in an environment conducive to breast cancer growth. Despite these significant alterations caused by obesity within breast tissue, studies have suggested that some, but not all, obesity-induced changes may be mitigated with weight loss. Here, we review our current understanding regarding the impact of obesity on the breast microenvironment, how obesity-induced changes may contribute to breast tumor progression, and the impact of weight loss on the breast microenvironment.
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Affiliation(s)
- Lauren E Hillers-Ziemer
- Program in Cellular and Molecular Biology, University of Wisconsin-Madison, 1525 Linden Drive, Madison, WI, 53706, USA
| | - Lisa M Arendt
- Program in Cellular and Molecular Biology, University of Wisconsin-Madison, 1525 Linden Drive, Madison, WI, 53706, USA.
- Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA.
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42
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Park B, Lim SE, Ahn H, Yoon J, Choi YS. Heterogenous Effect of Risk Factors on Breast Cancer across the Breast Density Categories in a Korean Screening Population. Cancers (Basel) 2020; 12:cancers12061391. [PMID: 32481621 PMCID: PMC7352951 DOI: 10.3390/cancers12061391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 05/14/2020] [Accepted: 05/26/2020] [Indexed: 12/24/2022] Open
Abstract
We evaluated the heterogeneity of the effect of known risk factors on breast cancer development based on breast density by using the Breast Imaging-Reporting and Data System (BI-RADS). In total, 4,898,880 women, aged 40-74 years, who participated in the national breast cancer screening program in 2009-2010 were followed up to December 2018. Increased age showed a heterogeneous association with breast cancer (1-year hazard ratio (HR) = 0.92, 1.00 (reference), 1.03, and 1.03 in women with BI-RADS density category 1, 2, 3, and 4, respectively; P-heterogeneity < 0.001). More advanced age at menopause increased breast cancer risk in all BI-RADS categories. This was more prominent in women with BI-RADS density category 1 but less prominent in women in other BI-RADS categories (P-heterogeneity = 0.009). In postmenopausal women, a family history of breast cancer, body mass index ≥ 25 kg/m2, and smoking showed a heterogeneous association with breast cancer across all BI-RADS categories. Other risk factors including age at menarche, menopause, hormone replacement therapy after menopause, oral contraceptive use, and alcohol consumption did not show a heterogeneous association with breast cancer across the BI-RADS categories. Several known risk factors of breast cancer had a heterogeneous effect on breast cancer development across breast density categories, especially in postmenopausal women.
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Affiliation(s)
- Boyoung Park
- Department of Medicine, Hanyang University College of Medicine, Seoul 04763, Korea; (S.-E.L.); (H.A.)
- Correspondence: ; Tel.: +82-2-2220-0682
| | - Se-Eun Lim
- Department of Medicine, Hanyang University College of Medicine, Seoul 04763, Korea; (S.-E.L.); (H.A.)
| | - HyoJin Ahn
- Department of Medicine, Hanyang University College of Medicine, Seoul 04763, Korea; (S.-E.L.); (H.A.)
| | - Junghyun Yoon
- Graduate School of Public Health, Hanyang University, Seoul 04763, Korea;
| | - Yun Su Choi
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul 04763, Korea;
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Chamberlin T, Thompson V, Hillers-Ziemer LE, Walton BN, Arendt LM. Obesity reduces mammary epithelial cell TGFβ1 activity through macrophage-mediated extracellular matrix remodeling. FASEB J 2020; 34:8611-8624. [PMID: 32359100 PMCID: PMC7317547 DOI: 10.1096/fj.202000228rr] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 04/16/2020] [Accepted: 04/17/2020] [Indexed: 12/11/2022]
Abstract
Obesity is a risk factor for breast cancer in postmenopausal and high‐risk premenopausal women. Changes within the obese breast microenvironment may increase breast cancer risk. Transforming growth factor beta‐1 (TGFβ1) is a major regulator of mammary epithelial stem/progenitor cells, and its activity is dysregulated under conditions of obesity. Using a high‐fat diet model of obesity in mice and breast tissue from women, we observed that TGFβ1 activity is reduced in breast epithelial cells in obesity. Breast ducts and lobules demonstrated increased decorin in the extracellular matrix (ECM) surrounding epithelial cells, and we observed that decorin and latent TGFβ1 complexed together. Under conditions of obesity, macrophages expressed higher levels of decorin and were significantly increased in number surrounding breast epithelial cells. To investigate the relationship between macrophages and decorin expression, we treated obese mice with either IgG control or anti‐F4/80 antibodies to deplete macrophages. Mice treated with anti‐F4/80 antibodies demonstrated reduced decorin surrounding mammary ducts and enhanced TGFβ1 activity within mammary epithelial cells. Given the role of TGFβ1 as a tumor suppressor, reduced epithelial TGFβ1 activity and enhanced TGFβ1 within the ECM of obese mammary tissue may enhance breast cancer risk.
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Affiliation(s)
- Tamara Chamberlin
- Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI, USA
| | - Victoria Thompson
- Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Lauren E Hillers-Ziemer
- Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI, USA
| | - Brenna N Walton
- Program in Molecular and Environmental Toxicology, University of Wisconsin-Madison, Madison, WI, USA
| | - Lisa M Arendt
- Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI, USA.,Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA.,Program in Molecular and Environmental Toxicology, University of Wisconsin-Madison, Madison, WI, USA
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Marker KM, Zavala VA, Vidaurre T, Lott PC, Vásquez JN, Casavilca-Zambrano S, Calderón M, Abugattas JE, Gómez HL, Fuentes HA, Picoaga RL, Cotrina JM, Neciosup SP, Castañeda CA, Morante Z, Valencia F, Torres J, Echeverry M, Bohórquez ME, Polanco-Echeverry G, Estrada-Florez AP, Serrano-Gómez SJ, Carmona-Valencia JA, Alvarado-Cabrero I, Sanabria-Salas MC, Velez A, Donado J, Song S, Cherry D, Tamayo LI, Huntsman S, Hu D, Ruiz-Cordero R, Balassanian R, Ziv E, Zabaleta J, Carvajal-Carmona L, Fejerman L. Human Epidermal Growth Factor Receptor 2-Positive Breast Cancer Is Associated with Indigenous American Ancestry in Latin American Women. Cancer Res 2020; 80:1893-1901. [PMID: 32245796 PMCID: PMC7202960 DOI: 10.1158/0008-5472.can-19-3659] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 01/11/2020] [Accepted: 02/26/2020] [Indexed: 12/18/2022]
Abstract
Women of Latin American origin in the United States are more likely to be diagnosed with advanced breast cancer and have a higher risk of mortality than non-Hispanic White women. Studies in U.S. Latinas and Latin American women have reported a high incidence of HER2 positive (+) tumors; however, the factors contributing to this observation are unknown. Genome-wide genotype data for 1,312 patients from the Peruvian Genetics and Genomics of Breast Cancer Study (PEGEN-BC) were used to estimate genetic ancestry. We tested the association between HER2 status and genetic ancestry using logistic and multinomial logistic regression models. Findings were replicated in 616 samples from Mexico and Colombia. Average Indigenous American (IA) ancestry differed by subtype. In multivariate models, the odds of having an HER2+ tumor increased by a factor of 1.20 with every 10% increase in IA ancestry proportion (95% CI, 1.07-1.35; P = 0.001). The association between HER2 status and IA ancestry was independently replicated in samples from Mexico and Colombia. Results suggest that the high prevalence of HER2+ tumors in Latinas could be due in part to the presence of population-specific genetic variant(s) affecting HER2 expression in breast cancer. SIGNIFICANCE: The positive association between Indigenous American genetic ancestry and HER2+ breast cancer suggests that the high incidence of HER2+ subtypes in Latinas might be due to population and subtype-specific genetic risk variants.
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Affiliation(s)
- Katie M Marker
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California
- Division of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, California
| | - Valentina A Zavala
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California
| | | | - Paul C Lott
- UC Davis Genome Center, University of California, Davis, Davis, California
| | | | | | | | | | - Henry L Gómez
- Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | - Hugo A Fuentes
- Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | | | - Jose M Cotrina
- Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | | | | | - Zaida Morante
- Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | | | - Javier Torres
- Unidad de Investigación en Enfermedades Infecciosas, Instituto Mexicano del Seguro Social; México City, México
| | - Magdalena Echeverry
- Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Facultades de Ciencias y Facultad de Ciencias de la Salud, Universidad del Tolima, Ibagué, Colombia
| | - Mabel E Bohórquez
- Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Facultades de Ciencias y Facultad de Ciencias de la Salud, Universidad del Tolima, Ibagué, Colombia
| | | | - Ana P Estrada-Florez
- UC Davis Genome Center, University of California, Davis, Davis, California
- Grupo de Citogenética, Filogenia y Evolución de Poblaciones, Facultades de Ciencias y Facultad de Ciencias de la Salud, Universidad del Tolima, Ibagué, Colombia
| | - Silvia J Serrano-Gómez
- Grupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá, Colombia
| | | | | | | | - Alejandro Velez
- Dinamica IPS, Medellín, Colombia
- Hospital Pablo Tobon Uribe, Medellín, Colombia
| | | | - Sikai Song
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Daniel Cherry
- Department of Medicine, University of California San Diego, San Diego, California
| | - Lizeth I Tamayo
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Scott Huntsman
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Donglei Hu
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California
| | | | - Ronald Balassanian
- Department of Pathology, University of California, San Francisco, California
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Jovanny Zabaleta
- Stanley S. Scott Cancer Center, LSUHSC, New Orleans, Louisiana
- Department of Pediatrics, LSUHSC, New Orleans, Louisiana
| | | | - Laura Fejerman
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California.
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
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Newman LA, Yip CH. Options for Addressing the Dilemma of Managing Dense Breasts. JAMA Surg 2020; 155:279-280. [PMID: 32096827 DOI: 10.1001/jamasurg.2020.0280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Lisa A Newman
- Breast Surgery Section, International Center for the Study of Breast Cancer Subtypes, Weill Cornell Medicine, New York, New York
| | - Cheng-Har Yip
- Breast Centre, Subang Jaya Medical Centre/Parkcity Medical Centre, University Malaya, Kuala Lumpur, Malaysia
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Bassey O, Aghahowa M, Esomonu S, Adeniji-Sofoluwe A, Nnabuchi C, Aluko-Olokun O, Awodu C. Pattern of Mammography Utilization by Women Attending Asokoro District Hospital, Abuja, Nigeria. JOURNAL OF WEST AFRICAN COLLEGE OF SURGEONS 2020; 10:30-35. [PMID: 35720956 PMCID: PMC9202608 DOI: 10.4103/jwas.jwas_2_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 02/14/2022] [Indexed: 11/04/2022]
Abstract
Introduction: Mammography is a major tool for the screening and diagnosis of breast cancer globally. Poor funding and lack of good public health education for mammography in resource-limited countries limit access to mammographic services. In these settings, patients bear the cost of breast cancer screening from out-of-pocket expenses. The aim of this study was to interrogate the pattern of utilization of mammography by women of childbearing age, who attended Asokoro District Hospital (ADH) for Healthcare, with the view to increase uptake. Materials and Methods: This was a 4-year retrospective, cross-sectional study of 534 women who attended ADH from July 2015 to June 2019 for screening or diagnostic mammography. Data were extracted from completed questionnaire by women who had mammography during the period under review. The data were entered into Statistical Package for the Social Sciences version 27 by IBM for analysis. Results: The mean age of the women was 47.8 years ± 7.7 with a range of 30–82 years. Most of the women, 525 (94.9%), were referred for mammography by health workers; only nine (5.1%) had mammography on self-referral. In all, 71% of the women paid for their mammography from their pockets, whereas 28.1% made payments through the National Health Insurance Scheme (NHIS). A total of 100% of women who reported for mammography on self-referral paid for the services from their pockets. The association between the funding options and mode of referral was statistically significant, P = 0.049. Conclusion: This study showed that referral for mammography by health workers was responsible for not only most of the mammograms conducted but also all the women who utilized NHIS to pay for this service. Resources should therefore be directed towards creating awareness among health workers, especially with the present level of NHIS coverage in the population, in order to increase the uptake of screening mammography in the population.
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Wang L, Mao Q, Zhou S, Ji X. Hypermethylated KLF9 Is An Independent Prognostic Factor For Favorable Outcome In Breast Cancer. Onco Targets Ther 2019; 12:9915-9926. [PMID: 31819488 PMCID: PMC6874775 DOI: 10.2147/ott.s226121] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 10/22/2019] [Indexed: 12/24/2022] Open
Abstract
Background and objective Breast cancer (BC) is the most lethal human malignancy and is the leading cause of cancer-associated death in women worldwide. Krüppel-like factor 9 (KLF9) belongs to a family of transcriptional regulators and its role in BC has not been fully investigated. Method Data mining was used to analyze BC data from The Cancer Genome Atlas (TCGA) database, which was downloaded using the UCSC Xena browser. The differential expression and methylation level of KLF9 was analyzed in patients with BC and corresponding normal controls enrolled from our hospital. Besides, the correlation of KLF9 methylation and prognosis was explored, and gene set enrichment analysis (GSEA) was conducted to identify the potential signaling pathway of KLF9 involved. Results Both TCGA and BC tissues indicated hypermethylation of the KLF9 promoter region in patients with BC compared with normal controls, which might account for the dysregulation of KLF9 in patients with BC. Besides, hypermethylation of KLF9 was detected in patients with estrogen or progesterone receptor-positive and non-triple-negative disease. Further, hypermethylation of KLF9 was demonstrated to be a potential independent biomarker in obtaining favorable outcomes in BC. By GSEA, tumor-associated biological processes and signaling pathway were identified, which indicated that KLF9 might play a vital role in the carcinogenesis of BC. Conclusion KFL9 plays an important role in the carcinogenesis of BC through the multiple tumor-associated signaling pathway. The hypermethylation of KLF9 resulted in its reduced expression in BC, while the hypermethylation of KLF9 has potential in the prediction of favorable outcomes in BC.
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Affiliation(s)
- Lei Wang
- Department of Thyroid and Breast Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, People's Republic of China.,Department of Thyroid and Breast Surgery, Lihuili Hospital Ningbo University, Ningbo, Zhejiang, People's Republic of China
| | - Qiqi Mao
- Department of Thyroid and Breast Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, People's Republic of China.,Department of Thyroid and Breast Surgery, Lihuili Hospital Ningbo University, Ningbo, Zhejiang, People's Republic of China
| | - Shaocheng Zhou
- Department of Thyroid and Breast Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, People's Republic of China.,Department of Thyroid and Breast Surgery, Lihuili Hospital Ningbo University, Ningbo, Zhejiang, People's Republic of China
| | - Xiaochun Ji
- Department of Thyroid and Breast Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, People's Republic of China.,Department of Thyroid and Breast Surgery, Lihuili Hospital Ningbo University, Ningbo, Zhejiang, People's Republic of China
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48
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Zimta AA, Tigu AB, Muntean M, Cenariu D, Slaby O, Berindan-Neagoe I. Molecular Links between Central Obesity and Breast Cancer. Int J Mol Sci 2019; 20:ijms20215364. [PMID: 31661891 PMCID: PMC6862548 DOI: 10.3390/ijms20215364] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 10/21/2019] [Accepted: 10/25/2019] [Indexed: 02/07/2023] Open
Abstract
Worldwide, breast cancer (BC) is the most common malignancy in women, in regard to incidence and mortality. In recent years, the negative role of obesity during BC development and progression has been made abundantly clear in several studies. However, the distribution of body fat may be more important to analyze than the overall body weight. In our review of literature, we reported some key findings regarding the role of obesity in BC development, but focused more on central adiposity. Firstly, the adipose microenvironment in obese people bears many similarities with the tumor microenvironment, in respect to associated cellular composition, chronic low-grade inflammation, and high ratio of reactive oxygen species to antioxidants. Secondly, the adipose tissue functions as an endocrine organ, which in obese people produces a high level of tumor-promoting hormones, such as leptin and estrogen, and a low level of the tumor suppressor hormone, adiponectin. As follows, in BC this leads to the activation of oncogenic signaling pathways: NFκB, JAK, STAT3, AKT. Moreover, overall obesity, but especially central obesity, promotes a systemic and local low grade chronic inflammation that further stimulates the increase of tumor-promoting oxidative stress. Lastly, there is a constant exchange of information between BC cells and adipocytes, mediated especially by extracellular vesicles, and which changes the transcription profile of both cell types to an oncogenic one with the help of regulatory non-coding RNAs.
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Affiliation(s)
- Alina-Andreea Zimta
- MEDFUTURE-Research Center for Advanced Medicine, University of Medicine, and Pharmacy Iuliu-Hatieganu, 23 Marinescu Street, 400337 Cluj-Napoca, Romania.
| | - Adrian Bogdan Tigu
- MEDFUTURE-Research Center for Advanced Medicine, University of Medicine, and Pharmacy Iuliu-Hatieganu, 23 Marinescu Street, 400337 Cluj-Napoca, Romania.
- Babeș-Bolyai University, Faculty of Biology, and Geology, 42 Republicii Street, 400015 Cluj-Napoca, Romania.
| | - Maximilian Muntean
- Department of Plastic Surgery, University of Medicine and Pharmacy "Iuliu Hatieganu", 400337 Cluj-Napoca, Romania.
| | - Diana Cenariu
- MEDFUTURE-Research Center for Advanced Medicine, University of Medicine, and Pharmacy Iuliu-Hatieganu, 23 Marinescu Street, 400337 Cluj-Napoca, Romania.
| | - Ondrej Slaby
- Central European Institute of Technology, Masaryk University, 62100 Brno, Czech Republic.
- Masaryk Memorial Cancer Institute, Department of Comprehensive Cancer Care, 60200 Brno, Czech Republic.
| | - Ioana Berindan-Neagoe
- MEDFUTURE-Research Center for Advanced Medicine, University of Medicine, and Pharmacy Iuliu-Hatieganu, 23 Marinescu Street, 400337 Cluj-Napoca, Romania.
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Hatieganu" University of Medicine, and Pharmacy, 23 Marinescu Street, 400337 Cluj-Napoca, Romania.
- Department of Functional Genomics, and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", Republicii 34th street, 400015 Cluj-Napoca, Romania.
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49
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Harbeck N, Penault-Llorca F, Cortes J, Gnant M, Houssami N, Poortmans P, Ruddy K, Tsang J, Cardoso F. Breast cancer. Nat Rev Dis Primers 2019; 5:66. [PMID: 31548545 DOI: 10.1038/s41572-019-0111-2] [Citation(s) in RCA: 1462] [Impact Index Per Article: 292.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/22/2019] [Indexed: 12/24/2022]
Abstract
Breast cancer is the most frequent malignancy in women worldwide and is curable in ~70-80% of patients with early-stage, non-metastatic disease. Advanced breast cancer with distant organ metastases is considered incurable with currently available therapies. On the molecular level, breast cancer is a heterogeneous disease; molecular features include activation of human epidermal growth factor receptor 2 (HER2, encoded by ERBB2), activation of hormone receptors (oestrogen receptor and progesterone receptor) and/or BRCA mutations. Treatment strategies differ according to molecular subtype. Management of breast cancer is multidisciplinary; it includes locoregional (surgery and radiation therapy) and systemic therapy approaches. Systemic therapies include endocrine therapy for hormone receptor-positive disease, chemotherapy, anti-HER2 therapy for HER2-positive disease, bone stabilizing agents, poly(ADP-ribose) polymerase inhibitors for BRCA mutation carriers and, quite recently, immunotherapy. Future therapeutic concepts in breast cancer aim at individualization of therapy as well as at treatment de-escalation and escalation based on tumour biology and early therapy response. Next to further treatment innovations, equal worldwide access to therapeutic advances remains the global challenge in breast cancer care for the future.
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Affiliation(s)
- Nadia Harbeck
- LMU Munich, University Hospital, Department of Obstetrics and Gynecology, Breast Center and Comprehensive Cancer Center (CCLMU), Munich, Germany.
| | - Frédérique Penault-Llorca
- Department of Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, UMR INSERM 1240, University Clermont Auvergne, Clermont-Ferrand, France
| | - Javier Cortes
- IOB Institute of Oncology, Quironsalud Group, Madrid and Barcelona, Spain.,Vall d´Hebron Institute of Oncology, Barcelona, Spain
| | - Michael Gnant
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Nehmat Houssami
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Philip Poortmans
- Department of Radiation Oncology, Institut Curie, Paris, France.,Université PSL, Paris, France
| | - Kathryn Ruddy
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Janice Tsang
- Hong Kong Breast Oncology Group, The University of Hong Kong, Hong Kong, China
| | - Fatima Cardoso
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
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50
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Godinho-Mota JCM, Gonçalves LV, Mota JF, Soares LR, Schincaglia RM, Martins KA, Freitas-Junior R. Sedentary Behavior and Alcohol Consumption Increase Breast Cancer Risk Regardless of Menopausal Status: A Case-Control Study. Nutrients 2019; 11:E1871. [PMID: 31408930 PMCID: PMC6723386 DOI: 10.3390/nu11081871] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 08/03/2019] [Accepted: 08/06/2019] [Indexed: 02/06/2023] Open
Abstract
Identification of modifiable risk factors for breast cancer is critical for primary prevention of the disease. The aim of this study was to evaluate how certain lifestyle variables modify the chances of developing breast cancer based on menopausal status. A case-control study was performed in a group of 542 women, 197 who were diagnosed with breast cancer and 344 control individuals. The groups were matched by age, body mass index, and menopausal status. Participants were evaluated for level of physical activity, alcohol consumption, smoking habit, weight, height, and waist circumference (WC). A multivariate logistic regression model was used to estimate odds ratios and 95% confidence intervals (95% CI). Regular consumption of alcoholic beverages (2.91, 95% CI 1.58-5.38 and 1.86, 95% CI 1.15-3.03) and sedentary behavior (2.08; 95% CI 1.12-3.85 and 1.81; 95% CI 1.12-2.94) were associated with breast cancer risk in pre- and postmenopausal women, respectively. High WC (3.31, 95% CI 1.45-7.55) was associated with an increased risk of developing breast cancer in premenopausal women. While in postmenopausal women, current smoking (2.43, 95% CI 1.01-5.83) or previous history of smoking (1.90; 95% CI 1.14-3.14) increased the chances of developing breast cancer. Sedentary behavior and current consumption of alcoholic beverages were more likely to increase the risk of developing breast cancer regardless of menopausal status.
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Affiliation(s)
- Jordana Carolina Marques Godinho-Mota
- Centro Avançado de Diagnóstico da Mama, Hospital das Clínicas, Federal University of Goiás, Goiania-GO 74.605-020, Brazil.
- Faculty of Nutrition, Federal University of Goiás, St. 227, Block 68, Goiania-GO 74.605-080, Brazil.
| | - Larissa Vaz Gonçalves
- Centro Avançado de Diagnóstico da Mama, Hospital das Clínicas, Federal University of Goiás, Goiania-GO 74.605-020, Brazil
- Faculty of Nutrition, Federal University of Goiás, St. 227, Block 68, Goiania-GO 74.605-080, Brazil
| | - Joao Felipe Mota
- Clinical and Sports Nutrition Research Laboratory (Labince), Faculty of Nutrition, Federal University of Goiás, St. 227, Block 68, Goiania-GO 74.605-080, Brazil
| | - Leonardo Ribeiro Soares
- Centro Avançado de Diagnóstico da Mama, Hospital das Clínicas, Federal University of Goiás, Goiania-GO 74.605-020, Brazil
| | | | - Karine Anusca Martins
- Faculty of Nutrition, Federal University of Goiás, St. 227, Block 68, Goiania-GO 74.605-080, Brazil
| | - Ruffo Freitas-Junior
- Centro Avançado de Diagnóstico da Mama, Hospital das Clínicas, Federal University of Goiás, Goiania-GO 74.605-020, Brazil
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