Sullivan Catherine A W, Chung Gina G
Section of Medical Oncology, Yale University School of Medicine, Yale Cancer Center, New Haven, CT 06520, USA.
Clin Colorectal Cancer. 2008 May;7(3):172-7. doi: 10.3816/CCC.2008.n.022.
Biomarker-driven cancer research is common in the current literature. Much of this research is a result of the increase in genomic and proteomic high-throughput technologies, which have increased our knowledge and also produced an abundance of data with unclear clinical significance. Immunohistochemistry-based assessment of protein expression is a natural validation method of expression-profiling data that is easily performed on tissue samples collected prospectively or from archived samples. Coupled with tissue microarray technology and the increasing number of available automated, quantitative systems to read these arrays, we now have an efficient method of validating biomarkers for prognostic and predictive capabilities and for the identification of drug development targets.
生物标志物驱动的癌症研究在当前文献中很常见。这类研究大多是基因组学和蛋白质组学高通量技术发展的结果,这些技术增进了我们的知识,也产生了大量临床意义不明的数据。基于免疫组织化学的蛋白质表达评估是一种自然的表达谱数据验证方法,可轻松应用于前瞻性收集的组织样本或存档样本。结合组织微阵列技术以及越来越多可用的自动定量系统来读取这些阵列,我们现在拥有了一种高效的方法来验证生物标志物的预后和预测能力以及识别药物开发靶点。