Mendelian randomization analysis integrating GWAS and eQTL data identified potential regulatory genes associated with prostate cancer in neural cells

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Abstract

Objective: Although studies have suggested a potential link between the nervous system and prostate cancer, the underlying regulatory mechanisms remain unclear. Therefore, it is crucial to identify the genes involved in regulating prostate cancer within the nervous system. Methods: We utilized eQTL data from eight neural cell types as exposure factors and GWAS data for prostate cancer as outcome events. Mendelian randomization (MR) analyses were performed to identify causative genes associated with prostate, bladder, and renal cancers in Astrocytes, Endothelial cells, Excitatory neurons, Inhibitory neurons, Microglia, Oligodendrocytes, OPCs/COPs, and Pericytes. Bladder and renal cancers were used as controls. Sensitivity analyses (heterogeneity, pleiotropy, and leave-one-out tests) were conducted to ensure reliability. Results: In astrocytes, seven positive genes were identified as being causally related to prostate cancer: KANSL1 , AC005670.2 , ARL17B , LRRC37A2 , LRRC37A , MAPT , and LINC02210 . In Endothelial cells, Inhibitory neuron and Microglia, three genes (LRRC37A2, ARL17B,and KANSL1) were identified as risk genes that are associated with prostate cancer. Four protective genes were identified in excitatory neurons, including LRRC37A2, ARL17B, KANSL1 and LINC02210. In oligodendrocytes, eight genes were identified, with LRRC37A2 , ARL17B , and KANSL1 acting as protective factors, while OR2L13 , OR2L3 , OR2L5 , OR2L2 , and OR2M4 were identified as risk factors. Additionally, sensitivity analyses showed no heterogeneity or horizontal pleiotropy in the MR results, confirming their reliability and stability. In addition, no positive genes were found in bladder cancer and renal cancer. Conclusion: Our study highlights the role of the nervous system, particularly astrocytes, in regulating prostate cancer. We identified three genes, with LRRC37A2, ARL17B, and KANSL1 emerging as key protective factors. These findings provide potential targets for prostate cancer diagnosis and treatment.

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