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预测肿瘤对抗血管生成治疗反应及逃逸的生物标志物。

Biomarkers predicting tumor response and evasion to anti-angiogenic therapy.

作者信息

Jahangiri Arman, Aghi Manish K

机构信息

Brain Tumor Research Center, USA.

出版信息

Biochim Biophys Acta. 2012 Jan;1825(1):86-100. doi: 10.1016/j.bbcan.2011.10.004. Epub 2011 Oct 30.

Abstract

No fully validated biological markers currently exist to predict responsiveness to or the development of evasion to anti-angiogenic therapy of cancer. The identification of such biomarkers is vital to move these therapies forward, as failure to respond to these treatments is often associated with rapid tumor progression that could have been averted had the intrinsic or acquired evasion to anti-angiogenic therapy been identified in a timely fashion. Furthermore, the high cost of antiangiogenic therapies makes it important to avoid utilizing them in the setting of lack of response or developing evasion, making the identification of biomarkers even more important. A number of potential physiologic, circulating, tissue, and imaging biomarkers have emerged from recently completed preclinical animal studies and clinical trials. In this review, we define 5 different types of biomarkers (physiologic, circulating, intratumoral, genetic polymorphisms, and radiographic); discuss the challenges in establishing biomarkers of antiangiogenic therapy in animal models and in clinical trials; and discuss future strategies to identify and validate biomarkers of anti-angiogenic therapy.

摘要

目前还没有经过充分验证的生物标志物来预测癌症对抗血管生成治疗的反应或逃逸情况。识别此类生物标志物对于推进这些治疗至关重要,因为对这些治疗无反应通常与肿瘤快速进展相关,如果能及时识别出对抗血管生成治疗的内在或获得性逃逸,这种情况本可避免。此外,抗血管生成治疗的高昂成本使得在无反应或出现逃逸的情况下避免使用它们变得很重要,这使得生物标志物的识别更加重要。最近完成的临床前动物研究和临床试验中出现了一些潜在的生理、循环、组织和成像生物标志物。在本综述中,我们定义了5种不同类型的生物标志物(生理、循环、肿瘤内、基因多态性和影像学);讨论在动物模型和临床试验中建立抗血管生成治疗生物标志物所面临的挑战;并讨论识别和验证抗血管生成治疗生物标志物的未来策略。

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