Proteomic Approaches for Biomarker Panels in Cancer

C. Tanase, R. Albulescu, M. Neagu
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引用次数: 18

Abstract

Proteomic technologies remain the main backbone of biomarkers discovery in cancer. The continuous development of proteomic technologies also enlarges the bioinformatics domain, thus founding the main pillars of cancer therapy. The main source for diagnostic/prognostic/therapy monitoring biomarker panels are molecules that have a dual role, being both indicators of disease development and therapy targets. Proteomic technologies, such as mass-spectrometry approaches and protein array technologies, represent the main technologies that can depict these biomarkers. Herein, we will illustrate some of the most recent strategies for biomarker discovery in cancer, including the development of immune-markers and the use of cancer stem cells as target therapy. The challenges of proteomic biomarker discovery need new forms of cross-disciplinary conglomerates that will result in increased and tailored access to treatments for patients; diagnostic companies would benefit from the enhanced co-development of companion diagnostics and pharmaceutical companies. In the technology optimization in biomarkers, immune assays are the leaders of discovery machinery.
癌症中生物标志物面板的蛋白质组学方法
蛋白质组学技术仍然是发现癌症生物标志物的主要支柱。蛋白质组学技术的不断发展也扩大了生物信息学领域,从而奠定了癌症治疗的主要支柱。诊断/预后/治疗监测生物标志物面板的主要来源是具有双重作用的分子,既是疾病发展的指标,也是治疗靶点。蛋白质组学技术,如质谱方法和蛋白质阵列技术,代表了可以描述这些生物标志物的主要技术。在此,我们将阐述一些最新的癌症生物标志物发现策略,包括免疫标志物的开发和癌症干细胞作为靶向治疗的使用。蛋白质组学生物标志物发现的挑战需要新形式的跨学科联合企业,这将为患者带来更多和量身定制的治疗途径;诊断公司将从伴随诊断公司和制药公司加强合作发展中受益。在生物标志物的技术优化中,免疫检测是发现机制的领导者。
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