Azad Nilofer S, Rasool Nabila, Annunziata Christina M, Minasian Lori, Whiteley Gordon, Kohn Elise C
Laboratory of Pathology, Molecular Signaling Section, Center for Cancer Research, NCI, National Institutes of Health, Bethesda, Maryland 20892, USA.
Mol Cell Proteomics. 2006 Oct;5(10):1819-29. doi: 10.1074/mcp.R600008-MCP200. Epub 2006 May 30.
The study of clinical proteomics is a promising new field that has the potential to have many applications, including the identification of biomarkers and monitoring of disease, especially in the field of oncology. Expression proteomics evaluates the cellular production of proteins encoded by a particular gene and exploits the differential expression and post-translational modifications of proteins between healthy and diseased states. These biomarkers may be applied towards early diagnosis, prognosis, and prediction of response to therapy. Functional proteomics seeks to decipher protein-protein interactions and biochemical pathways involved in disease biology and targeted by newer molecular therapeutics. Advanced spectrometry technologies and new protein array formats have improved these analyses and are now being applied prospectively in clinical trials. Further advancement of proteomics technology could usher in an era of personalized molecular medicine, where diseases are diagnosed at earlier stages and where therapies are more effective because they are tailored to the protein expression of a patient's malignancy.
临床蛋白质组学研究是一个充满前景的新领域,有潜力应用于诸多方面,包括生物标志物的识别和疾病监测,尤其是在肿瘤学领域。表达蛋白质组学评估特定基因编码的蛋白质的细胞产生情况,并利用健康状态与疾病状态之间蛋白质的差异表达和翻译后修饰。这些生物标志物可用于早期诊断、预后评估以及预测治疗反应。功能蛋白质组学旨在破解参与疾病生物学过程且为新型分子疗法所靶向的蛋白质-蛋白质相互作用和生化途径。先进的光谱技术和新型蛋白质阵列形式改进了这些分析方法,目前正前瞻性地应用于临床试验。蛋白质组学技术的进一步发展可能会开创个性化分子医学时代,在这个时代,疾病能够在更早阶段被诊断出来,并且治疗会更有效,因为它们是根据患者恶性肿瘤的蛋白质表达量身定制的。