UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Nat Rev Cancer. 2010 Sep;10(9):605-17. doi: 10.1038/nrc2902. Epub 2010 Aug 19.
The effective implementation of personalized cancer therapeutic regimens depends on the successful identification and translation of informative biomarkers to aid clinical decision making. Antibody-based proteomics occupies a pivotal space in the cancer biomarker discovery and validation pipeline, facilitating the high-throughput evaluation of candidate markers. Although the clinical utility of these emerging technologies remains to be established, the traditional use of antibodies as affinity reagents in clinical diagnostic and predictive assays suggests that the rapid translation of such approaches is an achievable goal. Furthermore, in combination with, or as alternatives to, genomic and transcriptomic methods for patient stratification, antibody-based proteomics approaches offer the promise of additional insight into cancer disease states. In this Review, we discuss the current status of antibody-based proteomics and its contribution to the development of new assays that are crucial for the realization of individualized cancer therapy.
个性化癌症治疗方案的有效实施取决于成功识别和转化有信息价值的生物标志物,以辅助临床决策。基于抗体的蛋白质组学在癌症生物标志物发现和验证管道中占据着关键位置,有助于高通量评估候选标志物。尽管这些新兴技术的临床实用性尚待确定,但抗体作为临床诊断和预测分析中的亲和试剂的传统用途表明,这种方法的快速转化是可以实现的目标。此外,基于抗体的蛋白质组学方法与基因组和转录组方法相结合,或者作为其替代方法,用于患者分层,为深入了解癌症疾病状态提供了更多的可能性。在这篇综述中,我们讨论了基于抗体的蛋白质组学的现状及其对新检测方法的发展的贡献,这些新检测方法对于实现个体化癌症治疗至关重要。