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Use of Nonsteroidal Anti-Inflammatory Drugs and Risk of Breast Cancer: Evidence from a General Female Population and a Mammographic Screening Cohort in Sweden. Cancers (Basel) 2023; 15:cancers15030692. [PMID: 36765650 PMCID: PMC9913077 DOI: 10.3390/cancers15030692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 01/14/2023] [Accepted: 01/16/2023] [Indexed: 01/24/2023] Open
Abstract
A link has been proposed between the use of nonsteroidal anti-inflammatory drugs (NSAIDs) and the risk of breast cancer. There is, however, insufficient data regarding the subtype and stage of breast cancer, and few studies have assessed the interaction between the use of NSAIDs and breast density or previous breast disorders. There is also a lack of data from population-based studies. We first conducted a nested case-control study within the general female population of Sweden, including 56,480 women with newly diagnosed breast cancer during 2006-2015 and five breast cancer-free women per case as controls, to assess the association of NSAID use with the risk of incident breast cancer, focusing on subtype and stage of breast cancer as well as the interaction between NSAID use and previous breast disorders. We then used the Karolinska Mammography Project for Risk Prediction of Breast Cancer (Karma) cohort to assess the interaction between NSAID use and breast density in relation to the risk of breast cancer. Conditional logistic regression was used to estimate the hazard ratio (HR) and a 95% confidence interval (CI) was used for breast cancer in relation to the use of aspirin and non-aspirin NSAIDs. In the nested case-control study of the general population, exclusive use of aspirin was not associated with the risk of breast cancer, whereas exclusive use of non-aspirin NSAIDs was associated with a modestly higher risk of stage 0-2 breast cancer (HR: 1.05; 95% CI: 1.02-1.08) but a lower risk of stage 3-4 breast cancer (HR 0.80; 95% CI: 0.73-0.88). There was also a statistically significant interaction between the exclusive use of NSAIDs and previous breast disorders (p for interaction: <0.001). In the analysis of Karma participants, the exclusive use of non-aspirin NSAIDs was associated with a lower risk of breast cancer among women with a breast dense area of >40 cm2 (HR: 0.72; 95% CI: 0.59-0.89). However, the possibility of finding this by chance cannot be ruled out. Overall, we did not find strong evidence to support an association between the use of NSAIDs and the risk of breast cancer.
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Eslami B, Omranipour R, Arian A, Bayani L, Abedi M, Alipour S. The association of metformin and aspirin intake with mammographic breast density: A cross-sectional study. CASPIAN JOURNAL OF INTERNAL MEDICINE 2023; 14:741-745. [PMID: 38024179 PMCID: PMC10646353 DOI: 10.22088/cjim.14.4.741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 11/05/2022] [Indexed: 12/01/2023]
Abstract
Background Our purpose was to investigate the association between Mammographic breast density (MBD), a known strong marker for breast cancer and metformin and aspirin use and duration of use alone or simultaneously, in a sample of Iranian women considering other confounding factors. Methods In a cross-sectional study, 712 individuals were selected out of women referred to two university hospitals for screening mammography. Participants' information was collected with a questionnaire. Four-category density scale (a = almost entirely fatty, b = scattered fibroglandular densities, c= heterogeneously dense, and d = extremely dense) was categorized as low (a&b) and high (c&d) density. Results The mean age of the participants was 49.80 ± 7.26 years. Sixty-five percent of women belonged to the high and 35% to the low MBD category. Both aspirin and metformin had a significantly negative association with MBD, however, when confounding factors were entered into the models, only aspirin after adjustment for age and BMI had an inverse association with MBD (OR = 0.53, 95% CI: 0.35-0.94). Simultaneous use of metformin and aspirin (OR = 0.44, 95 %CI: 0.17-1.12) was associated with lower MBD. Furthermore, in women who used metformin (OR = 0.23, 95% CI: 0.09-0.62) and aspirin (OR= 0.35, 95% CI: 0.17-0.72) for 2 to 5 years, MBD was significantly lower. However, after the adjustment of confounding factors, these associations were not statistically significant. Conclusion It seems metformin and aspirin intakes are associated with MBD. However, further studies with more sample size are needed.
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Affiliation(s)
- Bita Eslami
- Breast Diseases Research Center, Cancer Institute, Tehran University of Medical Science, Tehran, Iran
| | - Ramesh Omranipour
- Breast Diseases Research Center, Cancer Institute, Tehran University of Medical Science, Tehran, Iran
- Department of Surgical Oncology, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Arvin Arian
- Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Leila Bayani
- Department of Radiology, Arash Women’s Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahboubeh Abedi
- Department of Radiology, Arash Women’s Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sadaf Alipour
- Breast Diseases Research Center, Cancer Institute, Tehran University of Medical Science, Tehran, Iran
- Department of Surgery, Arash Women’s Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Eslami B, Alipour S, Omranipour R, Naddafi K, Naghizadeh MM, Shamsipour M, Aryan A, Abedi M, Bayani L, Hassanvand MS. Air pollution exposure and mammographic breast density in Tehran, Iran: a cross-sectional study. Environ Health Prev Med 2022; 27:28. [PMID: 35786683 PMCID: PMC9283909 DOI: 10.1265/ehpm.22-00027] [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] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Air pollution is one of the major public health challenges in many parts of the world possibly has an association with breast cancer. However, the mechanism is still unclear. This study aimed to find an association between exposure to six criteria ambient air pollutants (PM2.5, PM10, SO2, NO2, O3, and CO) and mammographic breast density (MBD), as one of the strongest predictors for developing breast cancer, in women living in Tehran, Iran. METHODS Participants were selected from women attending two university hospitals for screening mammography from 2019 to 2021. Breast density was rated by two expert radiologists. Individual exposures to 3-year ambient air pollution levels at the residence were estimated. RESULTS The final analysis in 791 eligible women showed that low and high breast density was detected in 34.8 and 62.2 of participants, respectively. Logistic regression analysis after considering all possible confounding factors represented that an increase in each unit of NO2 (ppb) exposure was associated with an increased risk of breast density with an OR equal to 1.04 (95CI: 1.01 to 1.07). Furthermore, CO level was associated with a decreasing breast density (OR = 0.40, 95CI = 0.19 to 0.86). None of the other pollutants were associated with breast density. CONCLUSION Higher MBD was associated with an increased level of NO2, as a marker of traffic-related air pollution. Furthermore, CO concentration was associated with a lower MBD, while other criteria air pollutants were not related to MBD. Further studies are needed to evaluate the association between ambient air pollutants with MBD.
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Affiliation(s)
- Bita Eslami
- Breast Diseases Research Center, Cancer Institute, Tehran University of Medical Science
| | - Sadaf Alipour
- Breast Diseases Research Center, Cancer Institute, Tehran University of Medical Science.,Department of Surgery, Arash Women's Hospital, Tehran University of Medical Sciences
| | - Ramesh Omranipour
- Breast Diseases Research Center, Cancer Institute, Tehran University of Medical Science.,Department of Surgical Oncology, Cancer Institute, Tehran University of Medical Sciences
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences.,Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences
| | | | - Mansour Shamsipour
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences.,Department of Research Methodology and Data Analysis, Institute for Environmental Research (IER), Tehran University of Medical Sciences
| | - Arvin Aryan
- Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Imam Khomeini Hospital, Tehran University of Medical Sciences
| | - Mahboubeh Abedi
- Department of Radiology, Arash Women's Hospital, Tehran University of Medical Sciences
| | - Leila Bayani
- Department of Radiology, Arash Women's Hospital, Tehran University of Medical Sciences
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences.,Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences
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Acheampong T, Lee Argov EJ, Terry MB, Rodriguez CB, Agovino M, Wei Y, Athilat S, Tehranifar P. Current regular aspirin use and mammographic breast density: a cross-sectional analysis considering concurrent statin and metformin use. Cancer Causes Control 2022; 33:363-371. [PMID: 35022893 DOI: 10.1007/s10552-021-01530-1] [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: 05/31/2021] [Accepted: 11/25/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE The nonsteroidal anti-inflammatory drug aspirin is an agent of interest for breast cancer prevention. However, it is unclear if aspirin affects mammographic breast density (MBD), a marker of elevated breast cancer risk, particularly in the context of concurrent use of medications indicated for common cardiometabolic conditions, which may also be associated with MBD. METHODS We used data from the New York Mammographic Density Study for 770 women age 40-60 years old with no history of breast cancer. We evaluated the association between current regular aspirin use and MBD, using linear regression for continuous measures of absolute and percent dense areas and absolute non-dense area, adjusted for body mass index (BMI), sociodemographic and reproductive factors, and use of statins and metformin. We assessed effect modification by BMI and reproductive factors. RESULTS After adjustment for co-medication, current regular aspirin use was only positively associated with non-dense area (β = 18.1, 95% CI: 6.7, 29.5). Effect modification by BMI and parity showed current aspirin use to only be associated with larger non-dense area among women with a BMI ≥ 30 (β = 28.2, 95% CI: 10.8, 45.7), and with lower percent density among parous women (β = -3.3, 95% CI: -6.4, -0.3). CONCLUSIONS Independent of co-medication use, current regular aspirin users had greater non-dense area with stronger estimates for women with higher BMI. We found limited support for an association between current aspirin use and mammographically dense breast tissue among parous women.
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Affiliation(s)
- Teofilia Acheampong
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA
| | - Erica J Lee Argov
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, 1130 St Nicholas Ave, New York, NY, 10032, USA
| | - Carmen B Rodriguez
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA
| | - Mariangela Agovino
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA
| | - Ying Wei
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA.,Department of Biostatistics, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA
| | - Shweta Athilat
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA
| | - Parisa Tehranifar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th street, New York, NY, 10032, USA. .,Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, 1130 St Nicholas Ave, New York, NY, 10032, USA.
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Yaghjyan L, Eliassen AH, Colditz G, Rosner B, Schedin P, Wijayabahu A, Tamimi RM. Associations of aspirin and other anti-inflammatory medications with breast cancer risk by the status of COX-2 expression. Breast Cancer Res 2022; 24:89. [PMID: 36494710 PMCID: PMC9733081 DOI: 10.1186/s13058-022-01575-3] [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: 04/01/2022] [Accepted: 11/06/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND We investigated the associations of aspirin and other nonsteroidal anti-inflammatory drugs (NSAIDs) with breast cancer risk by the status of COX-2 protein expression. METHODS This study included 421 cases and 3,166 controls from a nested case-control study within the Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII) cohorts. Information on medication use was first collected in 1980 (NHS) and 1989 (NHSII) and was updated biennially. Medication use was defined as none, past or current; average cumulative dose and frequency were calculated for all past or current users using data collected from all biannual questionnaires preceding the reference date. Immunochemistry for COX-2 expression was performed using commercial antibody (Cayman Chemical and Thermo Fisher Scientific). We used polychotomous logistic regression to quantify associations of aspirin and NSAIDs with the risk of COX2+ and COX2- breast cancer tumors, while adjusting for known breast cancer risk factors. All tests of statistical significance were two-sided. RESULTS In multivariate analysis, we found no differences in associations of the aspirin exposures and NSAIDs with breast cancer risk by COX2 expression status. In stratified analyses by COX2 status, significant associations of these medications with breast cancer risk were observed for dosage of aspirin among current users in COX2- tumors (OR for > 5 tablets per week vs. none 1.71, 95% CI 1.01-2.88, p-trend 0.04). Regular aspirin use was marginally associated with the risk of COX2- tumors (p-trend = 0.06). CONCLUSIONS Our findings suggested no differences in associations of aspirin and other NSAIDs with COX2+ and COX2- tumors.
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Affiliation(s)
- Lusine Yaghjyan
- grid.15276.370000 0004 1936 8091Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd, Gainesville, FL 32610 USA
| | - A. Heather Eliassen
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Graham Colditz
- grid.4367.60000 0001 2355 7002Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002Institute for Public Health, Washington University in St. Louis, St. Louis, MO USA
| | - Bernard Rosner
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Pepper Schedin
- grid.5288.70000 0000 9758 5690Oregon Health and Science University, Portland, OR USA
| | - Akemi Wijayabahu
- grid.15276.370000 0004 1936 8091Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd, Gainesville, FL 32610 USA
| | - Rulla M. Tamimi
- grid.5386.8000000041936877XDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY USA
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Thompson PA, Huang C, Yang J, Wertheim BC, Roe D, Zhang X, Ding J, Chalasani P, Preece C, Martinez J, Chow HHS, Stopeck AT. Sulindac, a Nonselective NSAID, Reduces Breast Density in Postmenopausal Women with Breast Cancer Treated with Aromatase Inhibitors. Clin Cancer Res 2021; 27:5660-5668. [PMID: 34112707 DOI: 10.1158/1078-0432.ccr-21-0732] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/26/2021] [Accepted: 06/07/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE To evaluate the effect of sulindac, a nonselective anti-inflammatory drug (NSAID), for activity to reduce breast density (BD), a risk factor for breast cancer. EXPERIMENTAL DESIGN An open-label phase II study was conducted to test the effect of 12 months' daily sulindac at 150 mg twice daily on change in percent BD in postmenopausal hormone receptor-positive breast cancer patients on aromatase inhibitor (AI) therapy. Change in percent BD in the contralateral, unaffected breast was measured by noncontrast magnetic resonance imaging (MRI) and reported as change in MRI percent BD (MRPD). A nonrandomized patient population on AI therapy (observation group) with comparable baseline BD was also followed for 12 months. Changes in tissue collagen after 6 months of sulindac treatment were explored using second-harmonic generated microscopy in a subset of women in the sulindac group who agreed to repeat breast biopsy. RESULTS In 43 women who completed 1 year of sulindac (86% of those accrued), relative MRPD significantly decreased by 9.8% [95% confidence interval (CI), -14.6 to -4.7] at 12 months, an absolute decrease of -1.4% (95% CI, -2.5 to -0.3). A significant decrease in mean breast tissue collagen fiber straightness (P = 0.032), an investigational biomarker of tissue inflammation, was also observed. MRPD (relative or absolute) did not change in the AI-only observation group (N = 40). CONCLUSIONS This is the first study to indicate that the NSAID sulindac may reduce BD. Additional studies are needed to verify these findings and determine if prostaglandin E2 inhibition by NSAIDs is important for BD or collagen modulation.
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Affiliation(s)
- Patricia A Thompson
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York. .,Department of Pathology, Stony Brook University, Stony Brook, New York
| | - Chuan Huang
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York.,Department of Radiology, Stony Brook University, Stony Brook, New York.,Department of Psychiatry, Stony Brook University, Stony Brook, New York.,Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York
| | - Jie Yang
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York.,Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, New York
| | | | - Denise Roe
- University of Arizona Cancer Center, Tucson, Arizona.,Department of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona
| | - Xiaoyue Zhang
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, New York
| | - Jie Ding
- Department of Psychiatry, Stony Brook University, Stony Brook, New York.,Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York
| | - Pavani Chalasani
- University of Arizona Cancer Center, Tucson, Arizona.,Department of Medicine, University of Arizona, Tucson, Arizona
| | - Christina Preece
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York.,Department of Pathology, Stony Brook University, Stony Brook, New York
| | - Jessica Martinez
- University of Arizona Cancer Center, Tucson, Arizona.,Department of Nutritional Sciences, University of Arizona, Tucson, Arizona
| | | | - Alison T Stopeck
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York.,Department of Medicine, Stony Brook University, Stony Brook, New York
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Yaghjyan L, Austin-Datta RJ, Oh H, Heng YJ, Vellal AD, Sirinukunwattana K, Baker GM, Collins LC, Murthy D, Rosner B, Tamimi RM. Associations of reproductive breast cancer risk factors with breast tissue composition. Breast Cancer Res 2021; 23:70. [PMID: 34225771 PMCID: PMC8258947 DOI: 10.1186/s13058-021-01447-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 06/21/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND We investigated the associations of reproductive factors with the percentage of epithelium, stroma, and fat tissue in benign breast biopsy samples. METHODS This study included 983 cancer-free women with biopsy-confirmed benign breast disease (BBD) within the Nurses' Health Study and Nurses' Health Study II cohorts. The percentage of each tissue type (epithelium, stroma, and fat) was measured on whole-section images with a deep-learning technique. All tissue measures were log-transformed in all the analyses to improve normality. The data on reproductive variables and other breast cancer risk factors were obtained from biennial questionnaires. Generalized linear regression was used to examine the associations of reproductive factors with the percentage of tissue types, while adjusting for known breast cancer risk factors. RESULTS As compared to parous women, nulliparous women had a smaller percentage of epithelium (β = - 0.26, 95% confidence interval [CI] - 0.41, - 0.11) and fat (β = - 0.34, 95% CI - 0.54, - 0.13) and a greater percentage of stroma (β = 0.04, 95% CI 0.01, 0.08). Among parous women, the number of children was inversely associated with the percentage of stroma (β per child = - 0.01, 95% CI - 0.02, - 0.00). The duration of breastfeeding of ≥ 24 months was associated with a reduced proportion of fat (β = - 0.30, 95% CI - 0.54, - 0.06; p-trend = 0.04). In a separate analysis restricted to premenopausal women, older age at first birth was associated with a greater proportion of epithelium and a smaller proportion of stroma. CONCLUSIONS Our findings suggest that being nulliparous as well as having a fewer number of children (both positively associated with breast cancer risk) is associated with a smaller proportion of epithelium and a greater proportion of stroma, potentially suggesting the importance of epithelial-stromal interactions. Future studies are warranted to confirm our findings and to elucidate the underlying biological mechanisms.
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Affiliation(s)
- Lusine Yaghjyan
- College of Public Health and Health Professions and College of Medicine, Department of Epidemiology, University of Florida, 2004 Mowry Rd, Gainesville, FL, 32610, USA.
| | - Rebecca J Austin-Datta
- College of Public Health and Health Professions and College of Medicine, Department of Epidemiology, University of Florida, 2004 Mowry Rd, Gainesville, FL, 32610, USA
| | - Hannah Oh
- Division of Health Policy and Management, College of Health Sciences, Korea University, Seoul, South Korea
- Department of Public Health Sciences, Graduate School, Korea University, Seoul, South Korea
| | - Yujing J Heng
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Adithya D Vellal
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Korsuk Sirinukunwattana
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Institute of Biomedical Engineering (IBME), Department of Engineering Science, Old Road Campus Research Building, University of Oxford, Oxford, UK
| | - Gabrielle M Baker
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Laura C Collins
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Divya Murthy
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
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