Kijanka Gregor, Murphy Derek
Centre for Human Proteomics, Royal College of Surgeons in Ireland, Dublin 2, Ireland.
J Proteomics. 2009 Aug 20;72(6):936-44. doi: 10.1016/j.jprot.2009.02.006. Epub 2009 Mar 1.
Protein array technology has begun to play a significant role in the study of protein-protein interactions and in the identification of antigenic targets of serum autoantibodies in a variety of autoimmune disorders. More recently, this technology has been applied to the identification of autoantibody signatures in cancer. The identification of tumour-associated antigens (TAAs) recognised by the patient's immune response represents an exciting approach to identify novel diagnostic cancer biomarkers and may contribute towards a better understanding of the molecular mechanisms involved. Circulating autoantibodies have not only been used to identify TAAs as diagnostic/prognostic markers and potential therapeutic targets, they also represent excellent biomarkers for the early detection of tumours and potential markers for monitoring the efficacy of treatment. Protein array technology offers the ability to screen the humoral immune response in cancer against thousands of proteins in a high throughput technique, thus readily identifying new panels of TAAs. Such an approach should not only aid in improved diagnostics, but has already contributed to the identification of complex autoantibody signatures that may represent disease subgroups, early diagnostics and facilitated the analysis of vaccine trials.
蛋白质阵列技术已开始在蛋白质 - 蛋白质相互作用研究以及多种自身免疫性疾病中血清自身抗体抗原靶点的鉴定方面发挥重要作用。最近,这项技术已应用于癌症中自身抗体特征的鉴定。识别患者免疫反应所识别的肿瘤相关抗原(TAA)代表了一种令人兴奋的方法,可用于鉴定新型癌症诊断生物标志物,并可能有助于更好地理解其中涉及的分子机制。循环自身抗体不仅已被用于将TAA鉴定为诊断/预后标志物和潜在治疗靶点,它们还是肿瘤早期检测的优秀生物标志物以及监测治疗效果的潜在标志物。蛋白质阵列技术能够以高通量技术筛选癌症中针对数千种蛋白质的体液免疫反应,从而轻松识别新的TAA组合。这种方法不仅应有助于改进诊断,而且已经有助于识别可能代表疾病亚组、早期诊断的复杂自身抗体特征,并促进了疫苗试验的分析。