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Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer

机译:磷酸化蛋白质组整合揭示了前列腺癌患者特定的网络

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We used clinical tissue from lethal metastatic castration-resistant prostate cancer (CRPC) patients obtained at rapid autopsy to evaluate diverse genomic, transcriptomic, and phosphoproteomic datasets for pathway analysis. Using Tied Diffusion through Interacting Events (TieDIE), we integrated differentially expressed master transcriptional regulators, functionally mutated genes, and differentially activated kinases in CRPC tissues to synthesize a robust signaling network consisting of druggable kinase pathways. Using MSigDB hallmark gene sets, six major signaling pathways with phosphorylation of several key residues were significantly enriched in CRPC tumors after incorporation of phosphoproteomic data. Individual autopsy profiles developed using these hallmarks revealed clinically relevant pathway information potentially suitable for patient stratification and targeted therapies in late stage prostate cancer. Here, we describe phosphorylation-based cancer hallmarks using integrated personalized signatures (pCHIPS) that shed light on the diversity of activated signaling pathways in metastatic CRPC while providing an integrative, pathway-based reference for drug prioritization in individual patients.
机译:我们使用了从快速尸检中获得的致死性去势抵抗性前列腺癌(CRPC)病人的临床组织,以评估各种基因组,转录组和磷酸化蛋白质组学数据集,以进行通路分析。使用通过交互事件的绑定扩散(TieDIE),我们在CRPC组织中整合了差异表达的主转录调节因子,功能突变的基因和差异激活的激酶,从而合成了由可药物化激酶途径组成的强大信号网络。使用MSigDB标志性基因集,在整合了磷酸蛋白质组学数据后,CRPC肿瘤中六个主要信号通路的几个关键残基的磷酸化显着丰富。使用这些标记开发的个体尸检资料揭示了临床上相关的途径信息,这些信息可能适用于晚期前列腺癌的患者分层和靶向治疗。在这里,我们使用整合的个性化签名(pCHIPS)描述了基于磷酸化的癌症标志,阐明了转移性CRPC中活化信号通路的多样性,同时为单个患者的药物优先排序提供了基于通路的综合参考。

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