Brain and behavior · 2025
Breast Cancer and Meningioma Risk: A Mendelian Randomization Study.
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Huang Jian-Wei, Wang Yi-Fei, Hu Ying-Qing, He Hai-Yong, Gao Shuang-Qi, Guo Ying
Аннотация
BACKGROUND: The exact nature of the link between breast cancer and meningiomas is unknown, although observational studies have shown a correlation between the two. Using a two-sample Mendelian randomization (MR) strategy, we aimed to investigate the effect of breast cancer on meningiomas.
METHODS: Three sets of genetic instruments were utilized in this study based on publicly available genetic summary data. For breast cancer, we selected 62 strongly associated SNPs; separate datasets were curated for HER2-positive and HER2-negative subtypes. MR analyses included outlier testing, MR-Egger regression, MR-PRESSO, weighted median, and inverse variance weighted approaches.
RESULTS: The inverse variance weighted analysis demonstrated significant evidence for breast cancer's effect on meningioma risk (OR = 1.213, 95% CI = 1.054-1.396, p = 0.007), supported by MR-Egger (OR = 1.456, 95% CI = 1.066-1.988, p = 0.021) though not by the weighted median method (OR = 1.095, 95% CI = 0.914-1.311, p = 0.326). Inverse variance weighting specifically revealed a significant association between HER2-positive breast cancer and meningioma incidence (OR = 1.203, 95% CI = 1.048-1.381, p = 0.009). Furthermore, breast cancer risk was associated with an increased incidence of malignant meningiomas (OR = 1.64, 95% CI = 1.12-2.40, p = 0.011).
CONCLUSIONS: This represents the first MR study investigating the causal relationship between breast cancer and meningiomas. Our findings support the hypothesis that breast cancer may increase meningioma risk.
METHODS: Three sets of genetic instruments were utilized in this study based on publicly available genetic summary data. For breast cancer, we selected 62 strongly associated SNPs; separate datasets were curated for HER2-positive and HER2-negative subtypes. MR analyses included outlier testing, MR-Egger regression, MR-PRESSO, weighted median, and inverse variance weighted approaches.
RESULTS: The inverse variance weighted analysis demonstrated significant evidence for breast cancer's effect on meningioma risk (OR = 1.213, 95% CI = 1.054-1.396, p = 0.007), supported by MR-Egger (OR = 1.456, 95% CI = 1.066-1.988, p = 0.021) though not by the weighted median method (OR = 1.095, 95% CI = 0.914-1.311, p = 0.326). Inverse variance weighting specifically revealed a significant association between HER2-positive breast cancer and meningioma incidence (OR = 1.203, 95% CI = 1.048-1.381, p = 0.009). Furthermore, breast cancer risk was associated with an increased incidence of malignant meningiomas (OR = 1.64, 95% CI = 1.12-2.40, p = 0.011).
CONCLUSIONS: This represents the first MR study investigating the causal relationship between breast cancer and meningiomas. Our findings support the hypothesis that breast cancer may increase meningioma risk.