Drug Resistance Group, Centre for Cancer Research and Cell Biology, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, Northern Ireland.
Nat Rev Clin Oncol. 2011 Feb 15;8(4):222-32. doi: 10.1038/nrclinonc.2011.15.
Over the past two decades, several protein and genomic markers have refined the prognostic information of colorectal cancer (CRC) and helped to predict which patient group may benefit most from systemic treatment or targeted therapies. Of all these markers, KRAS represents the first biomarker integrated into clinical practice for CRC. Microarray-based gene-expression profiling has been used to identify prognostic signatures and to a lesser degree predictive signatures in CRC; however, common challenges with these types of studies are clinical study design, reproducibility, interpretation and reporting of the results. We focus on the clinical application of a range of published prognostic and predictive protein and genomic markers in CRC and discuss the different challenges associated with microarray-based gene-expression profiling. While none of these genomic signatures is currently in routine clinical use in CRC, novel adaptive clinical trial designs that incorporate putative genomic prognostic/predictive markers in prospective randomized trials, will enable a clinical validation of these markers and may facilitate the implementation of these biomarkers into routine medical practice.
在过去的二十年中,几种蛋白质和基因组标记物已经改进了结直肠癌 (CRC) 的预后信息,并有助于预测哪些患者群体可能从系统治疗或靶向治疗中获益最多。在所有这些标记物中,KRAS 代表了第一个整合到 CRC 临床实践中的生物标志物。基于微阵列的基因表达谱分析已被用于鉴定 CRC 中的预后特征和在较小程度上的预测特征;然而,这些类型的研究的共同挑战是临床研究设计、可重复性、结果的解释和报告。我们专注于一系列已发表的 CRC 预后和预测蛋白和基因组标记物的临床应用,并讨论了基于微阵列的基因表达谱分析相关的不同挑战。虽然目前在 CRC 中没有一种基因组特征常规用于临床,但结合前瞻性随机试验中潜在的基因组预后/预测标记物的新型适应性临床试验设计,将能够对这些标记物进行临床验证,并可能有助于将这些生物标志物纳入常规医疗实践。