Identifying actionable druggable targets for breast cancer: Mendelian randomization and population-based analyses

可药性 孟德尔随机化 乳腺癌 医学 人口 肿瘤科 计算生物学 生物信息学 癌症 生物 遗传学 基因型 基因 环境卫生 遗传变异
作者
Naiqi Zhang,Yanni Li,Jan Sundquist,Kristina Sundquist,Jianguang Ji
出处
期刊:EBioMedicine [Elsevier BV]
卷期号:98: 104859-104859 被引量:47
标识
DOI:10.1016/j.ebiom.2023.104859
摘要

BackgroundDrug repurposing provides a cost-effective approach to address the need for breast cancer prevention and therapeutics. We aimed to identify actionable druggable targets using Mendelian randomization (MR) and then validate the candidate drugs using population-based analyses.MethodsWe identified genetic instruments for 1406 actionable targets of approved non-oncological drugs based on gene expression, DNA methylation, and protein expression quantitative trait loci (eQTL, mQTL, and pQTL, respectively). Genome-wide association study (GWAS) summary statistics were obtained from the Breast Cancer Association Consortium (122,977 cases, 105,974 controls). We further conducted a nested case–control study using data retrieved from Swedish registers to validate the candidate drugs that were identified from MR analyses.FindingsWe identified six significant MR associations with gene expression levels (TUBB, MDM2, CSK, ULK3, MC1R and KCNN4) and two significant associations with gene methylation levels across 21 CpG islands (RPS23 and MAPT). Results from the nested case–control study showed that the use of raloxifene (targeting MAPT) was associated with 35% reduced breast cancer risk (odds ratio, OR, 0.65; 95% confidence interval, CI, 0.51–0.83). However, usage of estradiol, tolterodine, and nitrofurantoin (also targeting MAPT) was associated with increased breast cancer risk, with adjusted ORs and 95% CI of 1.10 (1.07–1.13), 1.16 (1.09–1.24), and 1.09 (1.05–1.13), respectively. The effect of raloxifene and nitrofurantoin lost significance in further validation analyses using active-comparator and new-user design.InterpretationThis large-scale MR analysis, combined with population-based validation, identified eight druggable target genes for breast cancer and suggested that raloxifene is an effective chemoprevention against breast cancer.FundingSwedish Research Council, Cancerfonden, Crafoordska Stiftelsen, Allmänna Sjukhusets i Malmö Stiftelsen för bekämpande av cancer, 111 Project and MAS cancer.
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