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预测结肠癌治疗反应的分子标志物。

Molecular markers that predict response to colon cancer therapy.

作者信息

Ahmed Farid E

机构信息

The Brody School of Medicine at East Carolina University Department of Radiation Oncology, Leo W. Jenkins Cancer Center, Greenville, NC 27858, USA.

出版信息

Expert Rev Mol Diagn. 2005 May;5(3):353-75. doi: 10.1586/14737159.5.3.353.

DOI:10.1586/14737159.5.3.353
PMID:15934813
Abstract

Progress in the treatment of colon cancer depends on the development of target-based molecules built on an improved understanding of the molecular biology of the disease. Defining end points for chemotherapy resistance is needed as drug resistance develops quickly and patients demonstrate variation in response to chemotherapy. Many techniques that measure a marker's preponderance have been developed including biochemical, immunohistochemical, genomics, proteomics or a combination thereof. However, standardization of these techniques that measure either genes or their protein products is urgently needed. This article reviews several markers (TS,TP, DPD, FT, EGFR, VEGF, CD44v6, TRAIL, microsatellite instability, allelic deletions, oncogenes and suppressor genes [c-myc, Ki-Ras, p53, p21, Topo I, Topo IIalpha, Fos, hMLH1, Bcl-2/Bax and MDR1], MDR-related proteins [Pgp, MRP and LRP], genomic polymorphisms [XPD, ERCC1, GSTP1 and TS 3 -UTR] and COX-;2) that influence DNA metabolism, DNA damage, programmed cell death, the immune or vascular system, or lead to mutations. When combined together and tested by newly developed genomic and proteomic approaches, many of these markers provide a more sensitive indicative predictor of response than when evaluated separately or by older biochemical, immunohistologic or morphologic methods. A global approach involving the simultaneous testing of several predictive multimarkers will provide critical information for improving chemotherapy to alleviate suffering from this disease.

摘要

结肠癌治疗的进展取决于基于对该疾病分子生物学更深入理解而构建的靶向分子的研发。由于耐药性发展迅速且患者对化疗的反应存在差异,因此需要确定化疗耐药的终点。已经开发了许多测量标志物优势的技术,包括生化、免疫组化、基因组学、蛋白质组学或它们的组合。然而,迫切需要对这些测量基因或其蛋白质产物的技术进行标准化。本文综述了几种标志物(胸苷合成酶、胸苷磷酸化酶、二氢嘧啶脱氢酶、氟尿嘧啶、表皮生长因子受体、血管内皮生长因子、CD44v6、肿瘤坏死因子相关凋亡诱导配体、微卫星不稳定性、等位基因缺失、癌基因和抑癌基因[c-myc、Ki-Ras、p53、p21、拓扑异构酶I、拓扑异构酶IIα、Fos、hMLH1、Bcl-2/Bax和多药耐药基因1]、多药耐药相关蛋白[P-糖蛋白、多药耐药相关蛋白和肺耐药蛋白]、基因组多态性[XPD、ERCC1、GSTP1和胸苷合成酶3'-非翻译区]和环氧化酶-2),这些标志物影响DNA代谢、DNA损伤、程序性细胞死亡、免疫或血管系统,或导致突变。当通过新开发的基因组学和蛋白质组学方法将这些标志物组合在一起进行检测时,与单独评估或通过较旧的生化、免疫组织学或形态学方法相比,其中许多标志物能提供更敏感的反应指示性预测指标。一种涉及同时检测多种预测性多标志物的全局方法将为改善化疗以减轻该疾病带来的痛苦提供关键信息。

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