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关于生物标志物在癌症诊断和治疗中作用的批判性评论。

Critical comments for roles of biomarkers in the diagnosis and treatment of cancer.

机构信息

Medical Oncology Division, Kinki University School of Medicine, Japan.

出版信息

Cancer Treat Rev. 2012 Feb;38(1):63-7. doi: 10.1016/j.ctrv.2011.02.004. Epub 2011 Jun 8.

Abstract

A biomarker is defined as "a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic/pharmacodynamic responses to a therapeutic intervention". Various assays, including immunohistochemistry, gene constitution such as amplification, mutation, and rearrangement, gene and protein expression analysis such as single gene or protein expression, exhaustive analysis and gene or protein signature and single nucleotide polymorphism have been used to identify biomarkers in recent years. No therapeutic effects have yet been predicted based on the results of such exhaustive gene analysis because of low reproducibility although some correlate with the prognosis of patients. Biomarkers such as HER2 for breast cancer or EGFR mutation for lung cancer and KRAS mutation in colon cancer have contributed to identify a patient population that might show a good and bad treatment response, respectively. On the other hand, other biomarkers such as bcr-abl, c-kit gene mutation and CD20 expression, which are positive for CML, GIST and B cell lymphoma, respectively, have crucial biological significance but have not necessarily been used for practical clinical screening since pathological diagnosis coincide with finding of biomarkers. Hence, much work remains to be done in many areas of biomarker research.

摘要

生物标志物被定义为“客观测量和评估的特征,作为正常生物学过程、致病过程或治疗干预的药物反应的指标”。近年来,已经使用了各种检测方法,包括免疫组织化学、基因组成,如扩增、突变和重排、基因和蛋白质表达分析,如单基因或蛋白质表达、全面分析和基因或蛋白质特征以及单核苷酸多态性,以识别生物标志物。尽管有些与患者的预后相关,但由于重复性低,基于这种全面基因分析的结果尚未预测出治疗效果。生物标志物,如乳腺癌的 HER2 或肺癌的 EGFR 突变和结肠癌的 KRAS 突变,有助于确定可能表现出良好和不良治疗反应的患者人群。另一方面,其他生物标志物,如 CML 中的 bcr-abl、GIST 中的 c-kit 基因突变和 B 细胞淋巴瘤中的 CD20 表达,具有重要的生物学意义,但由于病理诊断与生物标志物的发现一致,因此不一定用于实际的临床筛选。因此,在生物标志物研究的许多领域仍有许多工作要做。

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