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Antibiotic use and the risk of breast cancer : a systematic review and dose-response meta-analysis

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Abstract
Objective: Oral antibiotics are posed as a possible risk factor for breast cancer. Evidence is insufficient to determine whether the choice of antibiotic class could effect this potential association, and non-linearity has not been studied. We aimed to fill these important knowledge gaps. Methods: PubMed, Web of Science, Embase and a trial registry were searched from inception until January 2020, without any restrictions. Additionally, extensive manual searches were undertaken. Random-effects meta-ana lyses provided pooled risk estimates with 95 % confidence intervals (CI). Dose-response analyses modeling the relationship between number of antibiotic prescriptions and breast cancer risk were extended to non-linear models. Heterogeneity, publication bias and small-study effects were assessed. Results: Of 7805 identified publications ten were eligible, including 3,719,383 individuals and 84,485 breast cancer cases. The pooled breast cancer risk was modestly increased among individuals who ever used antibiotics (relative risk RR = 1.18, 95 %CI 1.08-1.29), also after excluding the last year prior diagnosis. This excess risk was seen among penicillin (RR = 1.09, 95 %CI 1.01-1.18), tetracycline (RR = 1.13, 95 %CI 1.04-1.24) and nitrofuran users (RR = 1.26, 95 %CI 1.05-1.52), whilst nitroimidazole and metronidazole use (RR = 1.05, 95 %CI 1.00-1.11) indicated for marginal association. No apparent association was found for other antibiotics. Data suggested for a non-linear dose-dependent relationship, with a seemingly protective effect after at least 35 prescriptions. However, these findings might partly be explained by limited power of dose-response analyses. Conclusions: The association of antibiotics with breast cancer risk appears to differ between the various antibiotic classes. Whether this association is causal remains unclear, requiring further clarification and mechanistic studies.
Keywords
Antibiotics, Breast cancer, Systematic review, Meta-analysis, Dose-response, Non-linear

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MLA
Simin, Johanna, et al. “Antibiotic Use and the Risk of Breast Cancer : A Systematic Review and Dose-Response Meta-Analysis.” PHARMACOLOGICAL RESEARCH, vol. 160, 2020, doi:10.1016/j.phrs.2020.105072.
APA
Simin, J., Tamimi, R. M., Engstrand, L., Callens, S., & Brusselaers, N. (2020). Antibiotic use and the risk of breast cancer : a systematic review and dose-response meta-analysis. PHARMACOLOGICAL RESEARCH, 160. https://doi.org/10.1016/j.phrs.2020.105072
Chicago author-date
Simin, Johanna, Rulla M. Tamimi, Lars Engstrand, Steven Callens, and Nele Brusselaers. 2020. “Antibiotic Use and the Risk of Breast Cancer : A Systematic Review and Dose-Response Meta-Analysis.” PHARMACOLOGICAL RESEARCH 160. https://doi.org/10.1016/j.phrs.2020.105072.
Chicago author-date (all authors)
Simin, Johanna, Rulla M. Tamimi, Lars Engstrand, Steven Callens, and Nele Brusselaers. 2020. “Antibiotic Use and the Risk of Breast Cancer : A Systematic Review and Dose-Response Meta-Analysis.” PHARMACOLOGICAL RESEARCH 160. doi:10.1016/j.phrs.2020.105072.
Vancouver
1.
Simin J, Tamimi RM, Engstrand L, Callens S, Brusselaers N. Antibiotic use and the risk of breast cancer : a systematic review and dose-response meta-analysis. PHARMACOLOGICAL RESEARCH. 2020;160.
IEEE
[1]
J. Simin, R. M. Tamimi, L. Engstrand, S. Callens, and N. Brusselaers, “Antibiotic use and the risk of breast cancer : a systematic review and dose-response meta-analysis,” PHARMACOLOGICAL RESEARCH, vol. 160, 2020.
@article{8688794,
  abstract     = {{Objective: Oral antibiotics are posed as a possible risk factor for breast cancer. Evidence is insufficient to determine whether the choice of antibiotic class could effect this potential association, and non-linearity has not been studied. We aimed to fill these important knowledge gaps. Methods: PubMed, Web of Science, Embase and a trial registry were searched from inception until January 2020, without any restrictions. Additionally, extensive manual searches were undertaken. Random-effects meta-ana lyses provided pooled risk estimates with 95 % confidence intervals (CI). Dose-response analyses modeling the relationship between number of antibiotic prescriptions and breast cancer risk were extended to non-linear models. Heterogeneity, publication bias and small-study effects were assessed. Results: Of 7805 identified publications ten were eligible, including 3,719,383 individuals and 84,485 breast cancer cases. The pooled breast cancer risk was modestly increased among individuals who ever used antibiotics (relative risk RR = 1.18, 95 %CI 1.08-1.29), also after excluding the last year prior diagnosis. This excess risk was seen among penicillin (RR = 1.09, 95 %CI 1.01-1.18), tetracycline (RR = 1.13, 95 %CI 1.04-1.24) and nitrofuran users (RR = 1.26, 95 %CI 1.05-1.52), whilst nitroimidazole and metronidazole use (RR = 1.05, 95 %CI 1.00-1.11) indicated for marginal association. No apparent association was found for other antibiotics. Data suggested for a non-linear dose-dependent relationship, with a seemingly protective effect after at least 35 prescriptions. However, these findings might partly be explained by limited power of dose-response analyses. Conclusions: The association of antibiotics with breast cancer risk appears to differ between the various antibiotic classes. Whether this association is causal remains unclear, requiring further clarification and mechanistic studies.}},
  articleno    = {{105072}},
  author       = {{Simin, Johanna and Tamimi, Rulla M. and Engstrand, Lars and Callens, Steven and Brusselaers, Nele}},
  issn         = {{1043-6618}},
  journal      = {{PHARMACOLOGICAL RESEARCH}},
  keywords     = {{Antibiotics,Breast cancer,Systematic review,Meta-analysis,Dose-response,Non-linear}},
  language     = {{eng}},
  pages        = {{7}},
  title        = {{Antibiotic use and the risk of breast cancer : a systematic review and dose-response meta-analysis}},
  url          = {{http://doi.org/10.1016/j.phrs.2020.105072}},
  volume       = {{160}},
  year         = {{2020}},
}

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