Metastasis Genetics Section, Genetics and Molecular Biology Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA.
Present address: Dame Roma Mitchell Cancer Research Laboratories, Adelaide Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5000, Australia.
BMC Genomics. 2018 Jun 11;19(1):450. doi: 10.1186/s12864-018-4827-2.
It is well known that development of prostate cancer (PC) can be attributed to somatic mutations of the genome, acquired within proto-oncogenes or tumor-suppressor genes. What is less well understood is how germline variation contributes to disease aggressiveness in PC patients. To map germline modifiers of aggressive neuroendocrine PC, we generated a genetically diverse F2 intercross population using the transgenic TRAMP mouse model and the wild-derived WSB/EiJ (WSB) strain. The relevance of germline modifiers of aggressive PC identified in these mice was extensively correlated in human PC datasets and functionally validated in cell lines.
Aggressive PC traits were quantified in a population of 30 week old (TRAMP x WSB) F2 mice (n = 307). Correlation of germline genotype with aggressive disease phenotype revealed seven modifier loci that were significantly associated with aggressive disease. RNA-seq were analyzed using cis-eQTL and trait correlation analyses to identify candidate genes within each of these loci. Analysis of 92 (TRAMP x WSB) F2 prostates revealed 25 candidate genes that harbored both a significant cis-eQTL and mRNA expression correlations with an aggressive PC trait. We further delineated these candidate genes based on their clinical relevance, by interrogating human PC GWAS and PC tumor gene expression datasets. We identified four genes (CCDC115, DNAJC10, RNF149, and STYXL1), which encompassed all of the following characteristics: 1) one or more germline variants associated with aggressive PC traits; 2) differential mRNA levels associated with aggressive PC traits; and 3) differential mRNA expression between normal and tumor tissue. Functional validation studies of these four genes using the human LNCaP prostate adenocarcinoma cell line revealed ectopic overexpression of CCDC115 can significantly impede cell growth in vitro and tumor growth in vivo. Furthermore, CCDC115 human prostate tumor expression was associated with better survival outcomes.
We have demonstrated how modifier locus mapping in mouse models of PC, coupled with in silico analyses of human PC datasets, can reveal novel germline modifier genes of aggressive PC. We have also characterized CCDC115 as being associated with less aggressive PC in humans, placing it as a potential prognostic marker of aggressive PC.
众所周知,前列腺癌(PC)的发展可归因于基因组中的体细胞突变,这些突变发生在原癌基因或肿瘤抑制基因中。人们对种系变异如何导致 PC 患者疾病侵袭性的了解较少。为了绘制侵袭性神经内分泌 PC 的种系修饰因子图谱,我们使用转基因 TRAMP 小鼠模型和野生衍生的 WSB/EiJ(WSB)品系生成了一个遗传多样化的 F2 杂交种群。在这些小鼠中鉴定出的侵袭性 PC 种系修饰因子的相关性在人类 PC 数据集得到了广泛的关联,并在细胞系中得到了功能验证。
在 30 周龄(TRAMP x WSB)F2 小鼠(n=307)群体中定量了侵袭性 PC 特征。种系基因型与侵袭性疾病表型的相关性分析显示,有七个修饰位点与侵袭性疾病显著相关。使用顺式-eQTL 和性状相关分析对这些位点中的每个位点进行 RNA-seq 分析,以鉴定候选基因。对 92 只(TRAMP x WSB)F2 前列腺进行分析,发现 25 个候选基因既具有显著的顺式-eQTL,又与侵袭性 PC 性状的 mRNA 表达相关。我们进一步根据它们的临床相关性对这些候选基因进行了细分,方法是对人类 PC GWAS 和 PC 肿瘤基因表达数据集进行查询。我们确定了四个基因(CCDC115、DNAJC10、RNF149 和 STYXL1),它们都具有以下特征:1)一个或多个与侵袭性 PC 特征相关的种系变异;2)与侵袭性 PC 特征相关的差异 mRNA 水平;3)正常组织和肿瘤组织之间的差异 mRNA 表达。使用人 LNCaP 前列腺腺癌细胞系对这四个基因进行功能验证研究,结果显示 CCDC115 的异位过表达可显著阻碍体外细胞生长和体内肿瘤生长。此外,CCDC115 人前列腺肿瘤表达与更好的生存结果相关。
我们已经证明了如何在 PC 小鼠模型中进行修饰基因座图谱绘制,结合对人类 PC 数据集的计算机分析,可以揭示侵袭性 PC 的新种系修饰基因。我们还将 CCDC115 描述为与人的侵袭性 PC 呈负相关,将其作为侵袭性 PC 的潜在预后标志物。