Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA.
MOE Key Laboratory of Metabolism and Molecular Medicine, Shanghai Medical College of Fudan University, Shanghai, China.
Am J Hum Genet. 2023 Aug 3;110(8):1289-1303. doi: 10.1016/j.ajhg.2023.07.003.
Genome-wide association studies along with expression quantitative trait locus (eQTL) mapping have identified hundreds of single-nucleotide polymorphisms (SNPs) and their target genes in prostate cancer (PCa), yet functional characterization of these risk loci remains challenging. To screen for potential regulatory SNPs, we designed a CRISPRi library containing 9,133 guide RNAs (gRNAs) to cover 2,166 candidate SNP loci implicated in PCa and identified 117 SNPs that could regulate 90 genes for PCa cell growth advantage. Among these, rs60464856 was covered by multiple gRNAs significantly depleted in screening (FDR < 0.05). Pooled SNP association analysis in the PRACTICAL and FinnGen cohorts showed significantly higher PCa risk for the rs60464856 G allele (p value = 1.2 × 10 and 3.2 × 10, respectively). Subsequent eQTL analysis revealed that the G allele is associated with increased RUVBL1 expression in multiple datasets. Further CRISPRi and xCas9 base editing confirmed that the rs60464856 G allele leads to elevated RUVBL1 expression. Furthermore, SILAC-based proteomic analysis demonstrated allelic binding of cohesin subunits at the rs60464856 region, where the HiC dataset showed consistent chromatin interactions in prostate cell lines. RUVBL1 depletion inhibited PCa cell proliferation and tumor growth in a xenograft mouse model. Gene-set enrichment analysis suggested an association of RUVBL1 expression with cell-cycle-related pathways. Increased expression of RUVBL1 and activation of cell-cycle pathways were correlated with poor PCa survival in TCGA datasets. Our CRISPRi screening prioritized about one hundred regulatory SNPs essential for prostate cell proliferation. In combination with proteomics and functional studies, we characterized the mechanistic role of rs60464856 and RUVBL1 in PCa progression.
全基因组关联研究和表达数量性状基因座 (eQTL) 作图已经确定了数百个与前列腺癌 (PCa) 相关的单核苷酸多态性 (SNP) 及其靶基因,但这些风险位点的功能特征仍然具有挑战性。为了筛选潜在的调控 SNP,我们设计了一个包含 9133 个向导 RNA (gRNA) 的 CRISPRi 文库,涵盖了与 PCa 相关的 2166 个候选 SNP 位点,并鉴定出了 117 个可以调节 90 个基因的 SNP,这些基因对 PCa 细胞生长有利。其中,rs60464856 被多个在筛选中显著缺失的 gRNA 所覆盖 (FDR<0.05)。PRACTICAL 和 FinnGen 队列的合并 SNP 关联分析显示,rs60464856 的 G 等位基因与 PCa 风险显著增加 (p 值分别为 1.2×10 和 3.2×10)。随后的 eQTL 分析表明,该 G 等位基因与多个数据集的 RUVBL1 表达增加相关。进一步的 CRISPRi 和 xCas9 碱基编辑证实,rs60464856 的 G 等位基因导致 RUVBL1 表达升高。此外,SILAC 基于蛋白质组学分析表明,在 rs60464856 区域,着丝粒亚基等位基因结合,HiC 数据集显示前列腺细胞系中一致的染色质相互作用。RUVBL1 缺失抑制了异种移植小鼠模型中的 PCa 细胞增殖和肿瘤生长。基因集富集分析表明,RUVBL1 表达与细胞周期相关途径相关。在 TCGA 数据集中,RUVBL1 表达增加和细胞周期途径激活与 PCa 生存不良相关。我们的 CRISPRi 筛选确定了大约 100 个对前列腺细胞增殖至关重要的调控 SNP。结合蛋白质组学和功能研究,我们描述了 rs60464856 和 RUVBL1 在 PCa 进展中的机制作用。