Lemeer Simone, Gholami Amin Moghaddas, Wu Zhixiang, Kuster Bernhard
Chair of Proteomics and Bioanalytics, Technische Universität München, Emil Erlenmeyer Forum 5, Freising, Germany.
Proteomics. 2015 Jan;15(2-3):356-64. doi: 10.1002/pmic.201400213. Epub 2014 Dec 17.
Uterine leiomyomas are benign tumors affecting a large proportion of the female population. Despite the very high prevalence, the molecular basis for understanding the onset and development of the disease are still poorly understood. In this study, we profiled the proteomes and kinomes of leiomyoma as well as myometrium samples from patients to a depth of >7000 proteins including 200 kinases. Statistical analysis identified a number of molecular signatures distinguishing healthy from diseased tissue. Among these, nine kinases (ADCK4, CDK5, CSNK2B, DDR1, EPHB1, MAP2K2, PRKCB, PRKG1, and RPS6KA5) representing a number of cellular signaling pathways showed particularly strong discrimination potential. Preliminary statistical analysis by receiver operator characteristics plots revealed very good performance for individual kinases (area under the curve, AUC of 0.70-0.94) as well as binary combinations thereof (AUC 0.70-1.00) that might be used to assess the activity of signaling pathways in myomas. Of note, the receptor tyrosine kinase DDR1 holds future potential as a drug target owing to its strong links to collagen signaling and the excessive formation of extracellular matrix typical for leiomyomas in humans.
子宫平滑肌瘤是一种影响很大一部分女性人群的良性肿瘤。尽管其患病率很高,但对于该疾病发生和发展的分子基础仍知之甚少。在本研究中,我们对来自患者的平滑肌瘤以及子宫肌层样本的蛋白质组和激酶组进行了深度分析,涵盖超过7000种蛋白质,包括200种激酶。统计分析确定了一些区分健康组织和患病组织的分子特征。其中,代表多种细胞信号通路的九种激酶(ADCK4、CDK5、CSNK2B、DDR1、EPHB1、MAP2K2、PRKCB、PRKG1和RPS6KA5)显示出特别强的区分潜力。通过受试者工作特征曲线进行的初步统计分析表明,单个激酶(曲线下面积,AUC为0.70 - 0.94)及其二元组合(AUC为0.70 - 1.00)表现出非常好的性能,可用于评估肌瘤中信号通路的活性。值得注意的是,受体酪氨酸激酶DDR1由于其与胶原蛋白信号传导的紧密联系以及人类平滑肌瘤中典型的细胞外基质过度形成,作为药物靶点具有未来潜力。