4.5 Article

Breast cancer risk in patients with polycystic ovary syndrome: a Mendelian randomization analysis

Journal

BREAST CANCER RESEARCH AND TREATMENT
Volume 185, Issue 3, Pages 799-806

Publisher

SPRINGER
DOI: 10.1007/s10549-020-05973-z

Keywords

Breast cancer; Polycystic ovary syndrome; Mendelian randomization; Causality

Categories

Funding

  1. National Key R&D Program of China [2016YFC0905400]
  2. China National Science Foundation [81871893, 81501996]
  3. Key Project of Guangzhou Scientific Research Project [201804020030]
  4. High-level university construction project of Guangzhou Medical University [20182737, 201721007, 201715907, 2017160107]
  5. IVATS National key RD Program [2017YFC0907903, 2017YFC0112704]
  6. Application, industrialization, and generalization of surgical incision protector [2011B090400589]

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Mendelian randomization analysis revealed a causal relationship between genetically predicted PCOS and increased risk of breast cancer, particularly for estrogen receptor-positive breast cancer. No causality was observed for estrogen receptor-negative breast cancer. The study did not find evidence of pleiotropy.
Purpose The association between polycystic ovary syndrome (PCOS) and breast cancer remains inconclusive. Conventional observational studies are susceptible to inverse causality and potential confounders. With a Mendelian randomization (MR) approach, we aimed to investigate the causal relationship between genetically predicted PCOS and breast cancer risk. Methods Our study included 11 PCOS-associated single nucleotide polymorphisms as instrumental variables identified by the latest genome-wide association study. Individual-level genetic summary data of participants were obtained from the Breast Cancer Association Consortium, with a total of 122,977 cases and 105,974 controls. The inverse-variance weighted method was applied to estimate the causality between genetically predicted PCOS and breast cancer risk. To further evaluate the pleiotropy, the weighted median and MR-Egger regression methods were implemented as well. Results Our study demonstrated that genetically predicted PCOS was causally associated with an increased risk of overall breast cancer (odds ratio (OR) = 1.07; 95% confidence interval (CI) 1.02-1.12, p = 0.005). The subgroup analyses according to immunohistochemical type further illustrated that genetically predicted PCOS was associated with an increased risk of estrogen receptor (ER)-positive breast cancer (OR = 1.09; 95% CI 1.03-1.15, p = 0.002), while no causality was observed for ER-negative breast cancer (OR = 1.02; 95% CI 0.96-1.09, p = 0.463). In addition, no pleiotropy was found in our study. Conclusions Our findings indicated that PCOS was likely to be a causal factor in the development of ER-positive breast cancer, providing a better understanding for the etiology of breast cancer and the prevention of breast cancer.

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