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Wang T, Chai B, Chen WY, Holmes MD, Erdrich J, Hu FB, Rosner BA, Tamimi RM, Willett WC, Kang JH, Eliassen AH. Metformin and other anti-diabetic medication use and breast cancer incidence in the Nurses' Health Studies. Int J Cancer 2024; 155:211-225. [PMID: 38520039 PMCID: PMC11096056 DOI: 10.1002/ijc.34917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/13/2024] [Accepted: 02/20/2024] [Indexed: 03/25/2024]
Abstract
We aimed to examine the association between the use of metformin and other anti-diabetic medications and breast cancer incidence within two large prospective cohort studies. We followed 185,181 women who participated in the Nurses' Health Study (NHS; 1994-2016) and the NHSII (1995-2017), with baseline corresponding to the date metformin was approved for type 2 diabetes (T2D) treatment in the US Information on T2D diagnosis, anti-diabetes medications, and other covariates was self-reported at baseline and repeatedly assessed by follow-up questionnaires every 2 years. Breast cancer cases were self-reported and confirmed by medical record review. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between medication use and breast cancer were estimated using Cox proportional hazards regression models, adjusting for breast cancer risk factors. During 3,324,881 person-years of follow-up, we ascertained 9,192 incident invasive breast cancer cases, of which 451 were among women with T2D. Compared with women without T2D (n = 169,263), neither metformin use (HR = 0.97; 95% CI = 0.81-1.15) nor other anti-diabetic medications use (HR = 1.11; 95% CI = 0.90-1.36) associated with significantly lower breast cancer incidence. Among women with T2D (n = 15,918), compared with metformin never users, metformin ever use was not significantly inversely associated with breast cancer (HR = 0.92; 95% CI = 0.74-1.15). Although we observed that past use of metformin was inversely associated with breast cancer in the T2D population (HR = 0.67; 95% CI = 0.48-0.94), current use (HR = 1.01; 95% CI = 0.80-1.27) and longer duration of metformin use were not associated with breast cancer (each 2-year interval: HR = 1.01; 95% CI = 0.95-1.07). Overall, metformin use was not associated with the risk of developing breast cancer among the overall cohort population or among women with T2D.
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Affiliation(s)
- Tengteng Wang
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
- Division of Medical Oncology, Robert Wood Johnson Medical School, New Brunswick, NJ
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Boyang Chai
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Wendy Y. Chen
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Michelle D. Holmes
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | | | - Frank B. Hu
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Bernard A. Rosner
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Rulla M. Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
| | - Walter C. Willett
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Jae H. Kang
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
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Sha T, Zhang Y, Li C, Lei G, Wu J, Li X, Yang Z, Zeng C, Wei J. Association of Metformin Use With Risk of Venous Thromboembolism in Adults With Type 2 Diabetes: A General-Population-Based Cohort Study. Am J Epidemiol 2022; 191:856-866. [PMID: 34999759 DOI: 10.1093/aje/kwab291] [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: 03/22/2021] [Revised: 12/06/2021] [Accepted: 12/21/2021] [Indexed: 11/14/2022] Open
Abstract
Metformin is hypothesized to protect against the risk of venous thromboembolism (VTE); however, there is a paucity of data supporting this hypothesis. Among individuals aged 40-90 years with a diagnosis of type 2 diabetes in the Health Improvement Network database (2000-2019), we compared the risks of incident VTE, pulmonary embolism, and deep vein thrombosis among metformin initiators with those among sulfonylurea initiators. Individuals were followed from their first prescription refill to an incident VTE, drug discontinuation, switching or augmenting, plan disenrollment, or the end of the study, whichever occurred first. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using the Cox model, adjusting for confounders using inverse probability of treatment weighting. Among 117,472 initiators of metformin and 13,835 initiators of sulfonylureas, 555 (1.3/1,000 person-years) and 75 (2.1/1,000 person-years) VTE cases occurred in each group, respectively. The multivariable-adjusted HR was 0.65 (95% CI: 0.51, 0.84). The corresponding risks for pulmonary embolism (adjusted HR = 0.71, 95% CI: 0.50, 1.01) and deep vein thrombosis (adjusted HR = 0.64, 95% CI: 0.48, 0.87) were also lower in metformin initiators than in sulfonylurea initiators. Our study provided empirical evidence to support a lower risk of VTE after initiation of metformin as compared with sulfonylureas among patients with type 2 diabetes.
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Zhao H, Liu Z, Zhuo L, Shen P, Lin H, Sun Y, Zhan S. Sulfonylurea and Cancer Risk Among Patients With Type 2 Diabetes: A Population-Based Cohort Study. Front Endocrinol (Lausanne) 2022; 13:874344. [PMID: 35846337 PMCID: PMC9279619 DOI: 10.3389/fendo.2022.874344] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 05/25/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Current evidence of the association between the use of sulfonylurea and cancer risk is highly conflicting and little evidence of this association is from the mainland Chinese population. This study aimed to evaluate the potential effects of sulfonylurea use on cancer risk among patients with type 2 diabetes mellitus (T2DM). METHODS A retrospective cohort study of T2DM patients who were new users of sulfonylurea or metformin was conducted using the Yinzhou Regional Health Care Database. A marginal structural Cox model was used to estimate the hazard ratio (HR) of cancer associated with the use of sulfonylurea compared with metformin, with time-varying confounders controlled by inverse probability weighting. Secondary analyses using different glucose-lowering drugs (GLDs) as comparator and sensitivity analyses for potential bias due to latency period, model misspecification, missing data, analyses strategy (intention-to-treat and per-protocol), and diagnosis validation were performed to examine the robustness of the results. RESULTS After fully controlling for time-varying confounding, baseline confounding, and competing risk, the use of sulfonylurea was not associated with the risk of any cancer (HR 1.09; 95% CI, 0.93-1.27), compared with the use of metformin. In the secondary analyses, compared with α - glucosidase inhibitors, thiazolidinediones, glinides, other GLDs except sulfonylure and insulin, and T2DM patients not treated with sulfonylureas, the HRs of the association between sulfonylurea use and cancer risk were 0.92 (95% CI; 0.78-1.08), 0.89 (95% CI; 0.66-1.19), 0.85 (95% CI; 0.71-1.02), 1.04 (95% CI; 0.89-1.22), and 1.07 (95% CI; 0.99-1.16), respectively. The results of analyses for various subgroups, risk of site-specific cancers, cumulative duration, dose-response relationship, and sensitivity analyses of different latency periods and missing data were generally consistent with the findings of the primary analyses. CONCLUSION No association between sulfonylurea use and cancer risk was found in this study after properly controlling biases due to time-varying confounders and other sources. Further studies on the association between sulfonylurea use and the risk of cancer by using data from a Chinese population with higher representativeness are needed.
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Affiliation(s)
- Houyu Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhike Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Lin Zhuo
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Peng Shen
- Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Hongbo Lin
- Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Yexiang Sun
- Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
- Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China
- *Correspondence: Siyan Zhan,
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Seo HJ, Oh HS. Effects of early medication treatment and metformin use for cancer prevention in diabetes patients: a nationwide sample cohort study using extended landmark-time analysis. Epidemiol Health 2021; 43:e2021103. [PMID: 34922421 PMCID: PMC8920735 DOI: 10.4178/epih.e2021103] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/17/2021] [Indexed: 12/04/2022] Open
Abstract
OBJECTIVES This study investigated the effectiveness of early medication treatment and metformin use for cancer prevention in type 2 diabetes patients. METHODS Population-based cohort data were used from the Korean National Health Insurance Service-National Sample Cohort database (KNHIS-NSC) for 2002–2013. Patient-specific medication prescription status was defined by the landmark time (LMT; a fixed time after cohort entry), considering both pre- and post-LMT prescriptions to control methodological biases in observational research. The LMT was set to 2 years. Logistic regression analysis with multivariable adjustment was conducted to analyze cancer incidence by patient-specific medication prescription status. RESULTS Only 33.4% of the subjects were prescribed medication early (before the LMT) with compliance. Cancer incidence in individuals with early prescription and compliance was 25% lower (odds ratio [OR], 0.75; 95% confidence interval [CI], 0.67 to 0.84) than in those without. As early-prescribed medications, metformin monotherapy and metformin combination therapy were associated with 34% (OR, 0.66; 95% CI, 0.51 to 0.83) and 25% (OR, 0.75; 95% CI, 0.64 to 0.88) lower cancer risk than non-use, respectively. Patients who were prescribed late (post-LMT) but did not comply with the prescription had a 24% (OR, 1.24; 95% CI, 0.97 to 1.58) higher cancer incidence than non-users. Among patients who started monotherapy early without changes throughout the entire follow-up period, those who started on metformin had a 37% (OR, 0.63; 95% CI, 0.41 to 0.99) lower risk of cancer than non-metformin users. CONCLUSIONS Doctors must prescribe antidiabetic medication early, and patient compliance is required, regardless of the prescription time, to prevent cancer. Metformin monotherapy or combination therapy is recommended as an early prescription.
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Affiliation(s)
- Hwa Jeong Seo
- Associate Professor, Medical Informatics and health Technology(MIT), Department of Health Care Management, Gachon University, Seongnam, Korea
| | - Hyun Sook Oh
- Professor, Department of Applied Statistics, School of Social Science, Gachon University, Seongnam, Korea
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Rennert G, Rennert HS, Gronich N, Pinchev M, Gruber SB. Use of metformin and risk of breast and colorectal cancer. Diabetes Res Clin Pract 2020; 165:108232. [PMID: 32446797 DOI: 10.1016/j.diabres.2020.108232] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 04/15/2020] [Accepted: 05/18/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Diabetes has been associated with increased risk of cancer, including breast cancer and colorectal cancer. Metformin, an oral hypoglycemic drug, but not other anti-diabetic drugs, has been associated with reduced risk of breast and of colon cancers in some, but not in other, studies. METHODS Data from two large-scale, population-based, case-control studies of breast and colorectal cancers etiology, conducted in Northern Israel since 1998 were analyzed to evaluate the association between regular use (>3 times) of metformin prior to diagnosis and risk of developing cancer. The multivariate analyses for both cancer sites included age, family history of breast/colorectal cancer, history of diabetes, sports participation, fruits/vegetables consumption, aspirin and statins use, and for breast cancer, also included use of oral contraceptives and postmenopausal hormones and number of pregnancies. Use of metformin and diabetes status were determined based on valid electronic medical records of the participants. RESULTS Metformin use prior to diagnosis of cancer was associated with a decrease in risk of both breast cancer (OR = 0.821, 0.726-0.928, p = 0.002) and colorectal cancer (OR = 0.754, 0.623-0.912, p = 0.004). An inverse association was not identified with use of other anti-diabetic medications. Diabetes was found to be associated with risk of colorectal cancer (OR = 1.204, 1.014-1.431, p = 0.034) but not of breast cancer. No dose response by years of use of metformin was found. CONCLUSION These analyses of large population-based studies provide evidence of a strong inverse association of metformin with breast and, even more so, with colorectal cancer risk.
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Affiliation(s)
- Gad Rennert
- Department of Community Medicine and Epidemiology, Carmel Medical Center and B. Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Clalit Health Services National Cancer Control Center (NICCC), Haifa, Israel.
| | - Hedy S Rennert
- Department of Community Medicine and Epidemiology, Carmel Medical Center and B. Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Naomi Gronich
- Department of Community Medicine and Epidemiology, Carmel Medical Center and B. Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Mila Pinchev
- Department of Community Medicine and Epidemiology, Carmel Medical Center and B. Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
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Eskandari D, Khodabandehloo N, Gholami A, Samadanifard H, Hejrati A. Investigation of the association between metabolic syndrome and breast cancer patients. Eur J Transl Myol 2020; 30:8776. [PMID: 32499883 PMCID: PMC7254422 DOI: 10.4081/ejtm.2019.8776] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 01/13/2020] [Indexed: 12/13/2022] Open
Abstract
One of the most serious cancers among women is breast cancer. This disease is the first reason for the death of women due to cancer. Increasing breast cancer risk may associate with many factors including genetic, reproductive factors, people's lifestyle, metabolic syndrome (MS) and hormones. MS has been known as a risk factor for prostate, pancreatic, breast and colorectal cancers. The purpose of this review is to identify the relationship between MS components and breast cancer individually. This study was performed by researching electronic database references including PubMed, Google Scholar, CINAHL ProQuest, and web of science through 2019. The effect of MS with its components and breast cancer was reported in many studies. Nevertheless, a thorough understanding of the mechanisms involved remains a challenge. However, one can take several preventive measures, including a proper diet, which is one of the most important determinants of metabolic status. Also, general preventive recommendations are including reducing alcohol consumption, red meat and total fat in the diet. Moreover, increasing the consumption of vegetable and fruit reduce the proportion of MS patients to improve the outcome of breast cancer patients.
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Affiliation(s)
- Delaram Eskandari
- Department of endocrinology, School of Medicine, Hazrat-e Rasool Hospital, Iran University of Medical Sciences. Tehran, Iran
| | - Niloofar Khodabandehloo
- School of Medicine, Hazrat-e Rasool Hospital, Iran University of Medical Sciences. Tehran, Iran
| | - Abbas Gholami
- Department of Internal Medicine, School of Medicine, Hazrat-e Rasool Hospital, Iran University of Medical Sciences. Tehran, Iran
| | - Hosein Samadanifard
- Department of endocrinology, School of Medicine, Hazrat-e Rasool Hospital, Iran University of Medical Sciences. Tehran, Iran
| | - Alireza Hejrati
- Department of Internal Medicine, School of Medicine, Hazrat-e Rasool Hospital, Iran University of Medical Sciences. Tehran, Iran
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7
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Dankner R, Roth J. More recent, better designed studies have weakened links between antidiabetes medications and cancer risk. Diabet Med 2020; 37:194-202. [PMID: 31769894 DOI: 10.1111/dme.14179] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/11/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND An increasing number of studies have investigated associations of antidiabetes medications with cancer risk. Antidiabetes medications are classified by their mechanisms of action on tissues and organs. They potentially act as both causative and confounding factors in the temporal association of diabetes and cancer. AIM To present the current evidence regarding both the carcinogenic and anti-carcinogenic effects of antidiabetes medications on cancer in humans. METHODS A review of the scientific literature. RESULTS The most conclusive evidence shown of an association of antidiabetes medication with a specific cancer was for that of the thiazolidinedione pioglitazone with bladder cancer. Currently, there is inconclusive evidence regarding a possible association of incretin therapies, drugs of the dipeptidyl peptidase-4 inhibitor class, with the risk of pancreatic cancer. Insulin, sulfonylureas, metformin and sodium-glucose co-transporter-2 inhibitors appear not to be associated with increased risk of any cancer. Sparse evidence suggests possible protective effects against cancer incidence of metformin, sulfonylureas, thiazolidinediones, incretin-based drugs and sodium-glucose co-transporter-2 inhibitors. CONCLUSION The conflicting evidence regarding associations of antidiabetes medications with cancer risk is apparently attributable to both methodological issues and to the complexity of the subject. More recent and better-designed studies have weakened the evidence for links between antidiabetes medications and cancer risk.
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Affiliation(s)
- R Dankner
- Unit for Cardiovascular Epidemiology, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Centre, Ramat Gan, Israel
- Sackler Faculty of Medicine, School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
- Patient Oriented Research, Feinstein Institute for Medical Research, North Shore, NY, USA
| | - J Roth
- Laboratory of Diabetes and Diabetes-Related Disorders, North Shore, NY, USA
- Centre for Biomedical Science and Centre for Bioelectric Medicine, Feinstein Institute for Medical Research Manhasset, Northwell Health, North Shore, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
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Dankner R, Agay N, Olmer L, Murad H, Keinan Boker L, Balicer RD, Freedman LS. Metformin Treatment and Cancer Risk: Cox Regression Analysis, With Time-Dependent Covariates, of 320,000 Persons With Incident Diabetes Mellitus. Am J Epidemiol 2019; 188:1794-1800. [PMID: 31269196 PMCID: PMC6768811 DOI: 10.1093/aje/kwz157] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 06/14/2019] [Accepted: 06/18/2019] [Indexed: 12/15/2022] Open
Abstract
There is conflicting evidence regarding the association between metformin use and cancer risk in diabetic patients. During 2002–2012, we followed a cohort of 315,890 persons aged 21–87 years with incident diabetes who were insured by the largest health maintenance organization in Israel. We used a discrete form of weighted cumulative metformin exposure to evaluate the association of metformin with cancer incidence. This was implemented in a time-dependent covariate Cox model, adjusting for treatment with other glucose-lowering medications, as well as age, sex, ethnic background, socioeconomic status, smoking (for bladder and lung cancer), and parity (for breast cancer). We excluded from the analysis metformin exposure during the year before cancer diagnosis in order to minimize reverse causation of cancer on changes in medication use. Estimated hazard ratios associated with exposure to 1 defined daily dose of metformin over the previous 2–7 years were 0.98 (95% confidence interval (CI): 0.82, 1.18) for all-sites cancer (excluding prostate and pancreas), 1.05 (95% CI: 0.67, 1.63) for colon cancer, 0.98 (95% CI: 0.49, 1.97) for bladder cancer, 1.02 (95% CI: 0.59, 1.78) for lung cancer, and 0.88 (95% CI: 0.56, 1.39) for female breast cancer. Our results do not support an association between metformin treatment and the incidence of major cancers (excluding prostate and pancreas).
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Affiliation(s)
- Rachel Dankner
- Unit for Cardiovascular Epidemiology, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Tel Aviv, Israel
- Center for Patient-Oriented Research, Feinstein Institute for Medical Research, Manhasset, New York
| | - Nirit Agay
- Unit for Cardiovascular Epidemiology, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
| | - Liraz Olmer
- Unit of Biostatistics and Biomathematics, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
| | - Havi Murad
- Unit of Biostatistics and Biomathematics, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
| | - Lital Keinan Boker
- Israel Center for Disease Control, Israel Ministry of Health, Ramat Gan, Israel
- School of Public Health, Faculty of Social Welfare and Health Sciences, Haifa University, Haifa, Israel
| | - Ran D Balicer
- Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
- Public Health Department, Ben Gurion University of the Negev, Be’er Sheva, Israel
| | - Laurence S Freedman
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Tel Aviv, Israel
- Unit of Biostatistics and Biomathematics, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
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Roshan MH, Shing YK, Pace NP. Metformin as an adjuvant in breast cancer treatment. SAGE Open Med 2019; 7:2050312119865114. [PMID: 31360518 PMCID: PMC6637843 DOI: 10.1177/2050312119865114] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 07/01/2019] [Indexed: 12/13/2022] Open
Abstract
Breast cancer is one of the most common malignancies in females. It is an etiologically complex disease driven by a multitude of cellular pathways. The proliferation and spread of breast cancer is intimately linked to cellular glucose metabolism, given that glucose is an essential cellular metabolic substrate and that insulin signalling has mitogenic effects. Growing interest has focused on anti-diabetic agents in the management of breast cancer. Epidemiologic studies show that metformin reduces cancer incidence and mortality among type 2 diabetic patients. Preclinical in vitro and in vivo research provides intriguing insight into the cellular mechanisms behind the oncostatic effects of metformin. This article aims to provide an overview of the mechanisms in which metformin may elicit its anti-cancerous effects and discuss its potential role as an adjuvant in the management of breast cancer.
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Affiliation(s)
- Mohsin Hk Roshan
- Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Yan K Shing
- Pamela Youde Nethersole Eastern Hospital, Hong Kong
| | - Nikolai P Pace
- Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
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10
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Izurieta HS, Wu X, Lu Y, Chillarige Y, Wernecke M, Lindaas A, Pratt D, MaCurdy TE, Chu S, Kelman J, Forshee R. Zostavax vaccine effectiveness among US elderly using real-world evidence: Addressing unmeasured confounders by using multiple imputation after linking beneficiary surveys with Medicare claims. Pharmacoepidemiol Drug Saf 2019; 28:993-1001. [PMID: 31168897 DOI: 10.1002/pds.4801] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 04/12/2019] [Accepted: 04/17/2019] [Indexed: 02/06/2023]
Abstract
PURPOSE Medicare claims can provide real-world evidence (RWE) to support the Food and Drug Administration's ability to conduct postapproval studies to validate products' safety and effectiveness. However, Medicare claims do not contain comprehensive information on some important sources of bias. Thus, we piloted an approach using the Medicare Current Beneficiary Survey (MCBS), a nationally representative survey of the Medicare population, to (a) assess cohort balance with respect to unmeasured confounders in a herpes zoster vaccine (HZV) effectiveness claims-based study and (b) augment Medicare claims with MCBS data to include unmeasured covariates. METHODS We reanalyzed data from our published HZV effectiveness Medicare analysis, using linkages to MCBS to obtain information on impaired mobility, education, and health-seeking behavior. We assessed survey variable balance between the matched cohorts and selected imbalanced variables for model adjustment, applying multiple imputation by chained equations (MICE) to impute these potential unmeasured confounders. RESULTS The original HZV effectiveness study cohorts appeared well balanced with respect to variables we selected from the MCBS. Our imputed results showed slight shifts in HZV effectiveness point estimates with wider confidence intervals, but indicated no statistically significant differences from the original study estimates. CONCLUSIONS Our innovative use of linked survey data to assess cohort balance and our imputation approach to augment Medicare claims with MCBS data to include unmeasured covariates provide potential solutions for addressing bias related to unmeasured confounding in large database studies, thus adding new tools for RWE studies.
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Affiliation(s)
- Hector S Izurieta
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland
| | | | - Yun Lu
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland
| | | | | | | | - Douglas Pratt
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland
| | - Thomas E MaCurdy
- Acumen LLC, Burlingame, California.,Department of Economics, Stanford University, Stanford, California
| | - Steve Chu
- Centers for Medicare and Medicaid Services, Washington, District of Columbia
| | - Jeffrey Kelman
- Centers for Medicare and Medicaid Services, Washington, District of Columbia
| | - Richard Forshee
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland
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11
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Yang JY, Wang T, Pate V, Gower EW, Crowley MJ, Buse JB, Stürmer T. Sodium-glucose co-transporter-2 inhibitor use and risk of lower-extremity amputation: Evolving questions, evolving answers. Diabetes Obes Metab 2019; 21:1223-1236. [PMID: 30697897 PMCID: PMC6459697 DOI: 10.1111/dom.13647] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 01/11/2019] [Accepted: 01/24/2019] [Indexed: 02/06/2023]
Abstract
AIM To examine whether sodium-glucose co-transporter-2 (SGLT2) inhibitors are associated with a higher risk of lower-extremity amputation than dipeptidyl-peptidase-4 (DPP-4) inhibitors and sulphonylureas. METHODS We conducted a retrospective cohort study, using the MarketScan Commercial Claims and Encounters Database (2013-2015), to compare the incidence of lower-extremity amputation (LEA) between initiators of SGLT2 inhibitors and initiators of two second-line drugs, DPP-4 inhibitors and sulphonylureas (SUs). We estimated crude incidence rates (IRs) and adjusted hazard ratios (aHR), with 95% confidence intervals (CIs), before and after propensity-score weighting. We additionally conducted sensitivity analyses using a comparator group of all non-metformin, non-SGLT2 inhibitor glucose-lowering drugs, as previous studies used this approach. RESULTS In a cohort of 328 150 individuals aged 18 to 64 years, the IR of LEA ranged from 1.5 to 2.4 per 1000 person-years. In as-treated analysis, the estimated hazard of LEA was increased among SGLT2 inhibitor initiators compared to DPP-4 inhibitor initiators (aHR 1.69, 95% CI 1.20-2.38), but not compared to SU initiators (aHR 1.02, 95% CI 0.67-1.55) or non-metformin, non-SGLT2 inhibitor initiators (aHR 1.02, 95% CI 0.54-1.93). Results were consistent in intention-to-treat analysis and across a number of sensitivity analyses. CONCLUSIONS Among commercially insured patients in the United States, our results suggest that initiation of SGLT2 inhibitors may increase the risk of LEA compared to initiation of DPP-4 inhibitors. Contrasting results when comparing SGLT2 inhibitor initiators to DPP-4 inhibitor and SU initiators highlight the importance of choosing appropriate comparator drugs when addressing comparative effectiveness and safety questions that can inform clinical decision-making.
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Affiliation(s)
- Jeff Y. Yang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
| | - Tiansheng Wang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
| | - Virginia Pate
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
| | - Emily W. Gower
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
| | | | - John B. Buse
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Til Stürmer
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
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Pottegård A, Friis S, Stürmer T, Hallas J, Bahmanyar S. Considerations for Pharmacoepidemiological Studies of Drug-Cancer Associations. Basic Clin Pharmacol Toxicol 2018; 122:451-459. [PMID: 29265740 PMCID: PMC7025319 DOI: 10.1111/bcpt.12946] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 12/11/2017] [Indexed: 12/16/2022]
Abstract
In this MiniReview, we provide general considerations for the planning and conduct of pharmacoepidemiological studies of associations between drug use and cancer development. We address data sources, study design, assessment of drug exposure, ascertainment of cancer outcomes, confounder adjustment and future perspectives. Aspects of data sources include assessment of complete history of drug use and data on dose and duration of drug use, allowing estimates of cumulative exposure. Outcome data from formal cancer registries are preferable, but cancer data from other sources, for example, patient or pathology registries, medical records or claims are also suitable. The two principal designs for observational studies evaluating drug-cancer associations are the cohort and case-control designs. A key challenge in studies of drug-cancer associations is the exposure assessment due to the typically long period of cancer development. We present methods to examine early and late effects of drug use on cancer development and discuss the need for employing 'lag-time' in order to avoid reverse causation. We emphasize that a new-user study design should always be considered. We also underline the need for 'dose-response' analyses, as drug-cancer associations are likely to be dose-dependent. Generally, studies of drug-cancer associations should explore risk of site-specific cancer, rather than cancer overall. Additional differentiation may also be crucial for organ-specific cancer with various distinct histological subtypes (e.g., lung or ovary cancer). We also highlight the influence of confounding factors and discuss various methods to address confounding, while emphasizing that the choices of methods depend on the design and specific objectives of the individual study. In some studies, use of active comparator(s) may be preferable. Pharmacoepidemiological studies of drug-cancer associations are expected to evolve considerably in the coming years, due to the increasing availability of long-term data on drug exposures and cancer outcomes, the increasing conduct of multinational studies, allowing studies of rare cancers and subtypes of cancer, and methodological improvements specifically addressing cancer and other long-term outcomes.
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Affiliation(s)
- Anton Pottegård
- Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Søren Friis
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Til Stürmer
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jesper Hallas
- Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Shahram Bahmanyar
- Centre for Pharmacoepidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Clinical Epidemiology Unit, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
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Tuccori M, Convertino I, Galiulo MT, Marino A, Capogrosso-Sansone A, Blandizzi C. Diabetes drugs and the incidence of solid cancers: a survey of the current evidence. Expert Opin Drug Saf 2017; 16:1133-1148. [PMID: 28748718 DOI: 10.1080/14740338.2017.1361401] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION The evaluation of the relationship between the use of antidiabetic drug and the occurrence of cancer is extremely challenging, both from the clinical and pharmacoepidemiological standpoint. This narrative review described the current evidence supporting a relationship between the use of antidiabetic drugs and the incidence of solid cancers. Areas covered: Data from pharmacoepidemiological studies on cancer incidence were presented for the main antidiabetic drugs and drug classes, including human insulin and insulin analogues, metformin, sulfonylureas, glinides, alpha-glucosidase inhibitors, thiazolidinediones, incretin mimetics, and sodium glucose co-transporter 2 inhibitors. The relationship between the use of antidiabetics and the incidence of solid cancer was described in strata by any cancer and by organ-specific cancer and by drug and by drug classes. Information supporting biological evidence and putative mechanisms were also provided. Expert opinion: The history of exploration of the relationship between antidiabetic drugs and the risk of solid cancers has showed several issues. Unrecognized biases and misinterpretations of study results have had important consequences that delayed the identification of actual risk and benefits of the use of antidiabetic drugs associated with cancer occurrence or progression. The lesson learned from the past should address the future research in this area, since in the majority of cases findings are controversial and confirmatory studies are warranted.
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Affiliation(s)
- Marco Tuccori
- a Unit of Adverse Drug Reaction Monitoring , University Hospital of Pisa , Pisa , Italy
| | - Irma Convertino
- b Department of Clinical and Experimental Medicine , University of Pisa , Pisa , Italy
| | - Maria Teresa Galiulo
- b Department of Clinical and Experimental Medicine , University of Pisa , Pisa , Italy
| | - Alessandra Marino
- b Department of Clinical and Experimental Medicine , University of Pisa , Pisa , Italy
| | | | - Corrado Blandizzi
- a Unit of Adverse Drug Reaction Monitoring , University Hospital of Pisa , Pisa , Italy.,b Department of Clinical and Experimental Medicine , University of Pisa , Pisa , Italy
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Hong JL, Henderson LM, Jonsson Funk M, Lund JL, Buse JB, Pate V, Stürmer T. Differential Use of Screening Mammography in Older Women Initiating Metformin versus Sulfonylurea. Pharmacoepidemiol Drug Saf 2017; 26:666-675. [PMID: 28370798 DOI: 10.1002/pds.4195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2016] [Revised: 02/13/2017] [Accepted: 02/17/2017] [Indexed: 12/14/2022]
Abstract
PURPOSE Differential use of screening mammography may lead to biased detection of breast cancer. This study aimed to compare receipt of screening mammography and the incidence of screen-detected breast cancer between metformin and sulfonylurea initiators. METHODS We used 2006-2014 US Medicare claims to identify initiators of metformin or sulfonylurea aged 65+ years continuously enrolled in Parts A/B for ≥2 years pre-initiation and ≥2 years post-initiation. We reported frequencies of screening mammograms and screen-detected breast cancer in 1 year pre-initiation among all cohort members and in 1 year post-initiation among cancer-free cohort members. Weighted screening risk differences (RDs) were estimated comparing metformin to sulfonylurea group. RESULTS We identified 41,436 and 13,367 initiators of metformin and sulfonylurea, 35% and 24% of which had ≥1 screening mammogram in 1 year pre-initiation (weighted RD: 6 percentage points; 95% CI: 5 to 7), respectively. The weighted RD for screen-detected breast cancer associated with metformin was 0.00 percentage points (95% CI: -0.09 to 0.09). Among cancer-free cohort members, metformin initiators had 5 percentage points (95% CI: 4 to 6) and 0.11 percentage points (95% CI: -0.02 to 0.23) absolute risk excess of screening mammography and screen-detected breast cancer in 1 year post-initiation, compared with sulfonylurea initiators, respectively. CONCLUSIONS Metformin initiators were more likely to receive screening mammograms than sulfonylurea initiators pre- and post-initiation, indicating possible detection bias due to differential screening mammography. Researchers should be aware of the potential for more screening mammograms pre- and post-initiation when interpreting the findings of metformin on breast cancer incidence. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Jin-Liern Hong
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Louise M Henderson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michele Jonsson Funk
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer L Lund
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - John B Buse
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Virginia Pate
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Til Stürmer
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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