利用蛋白质组学鉴定新型生物标记物,预测癌症相关血栓形成

Maria J. Fernandez Turizo, R. Patell, Jeffrey I. Zwicker
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引用次数: 0

摘要

通过高通量蛋白质组筛选,可以对血浆进行全面的蛋白质分析,这有助于找到新的治疗靶点和诊断生物标志物。癌症患者经常受到静脉血栓栓塞症(VTE)的影响。目前 VTE 风险评估工具的预测准确性有限,这凸显了对更具针对性的新生物标记物的需求。虽然用于 VTE 诊断、预后和治疗的凝血生物标志物已得到研究,但它们都不具备必要的临床验证或诊断准确性。蛋白质组学有可能发现新的生物标志物和影响血栓形成风险的血栓形成途径。本综述探讨了蛋白质组学中使用的基本方法,并重点介绍了在 VTE 和癌症相关血栓中发现的特定生物标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying novel biomarkers using proteomics to predict cancer-associated thrombosis
Comprehensive protein analyses of plasma are made possible by high-throughput proteomic screens, which may help find new therapeutic targets and diagnostic biomarkers. Patients with cancer are frequently affected by venous thromboembolism (VTE). The limited predictive accuracy of current VTE risk assessment tools highlights the need for new, more targeted biomarkers. Although coagulation biomarkers for the diagnosis, prognosis, and treatment of VTE have been investigated, none of them have the necessary clinical validation or diagnostic accuracy. Proteomics holds the potential to uncover new biomarkers and thrombotic pathways that impact the risk of thrombosis. This review explores the fundamental methods used in proteomics and focuses on particular biomarkers found in VTE and cancer-associated thrombosis.
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