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个性化与靶向抗血管生成耐药性:一种复杂且多因素的方法。

Personalising and targeting antiangiogenic resistance: a complex and multifactorial approach.

作者信息

Bueno Maria J, Mouron Silvana, Quintela-Fandino Miguel

机构信息

Breast Cancer Clinical Research Unit, CNIO-Spanish National Research Cancer Centre, Madrid, Spain.

Medical Oncology, Hospital Universitario Quirón, Pozuelo de Alarcón, Madrid, Spain.

出版信息

Br J Cancer. 2017 Apr 25;116(9):1119-1125. doi: 10.1038/bjc.2017.69. Epub 2017 Mar 16.

Abstract

Pathological angiogenesis involves complex and dynamic interactions between tumour cells and other lineages existing in the microenvironment of the tumour. Preclinical and clinical data suggest that tumours can show dual, different adaptive responses against antiangiogenic agents: one successful adaptation is vascular normalisation, whereas the second adaptation is elicited through vascular trimming and increased hypoxia. These phenomena depend on the type of tumour and the type of agent. The classical approach for investigating acquired resistance against antiangiogenic agents is to identify compensatory signalling pathways emerging in response to VEGF blockade, which has led to the development of highly effective drugs; however, ultimately these drugs fail. Here we review how the dual stromal adaptive patterns determine the mechanisms of escape that go beyond the reprogramming of signal transduction pathways, which obliges us to investigate the tumour as an ecosystem and to develop uni- and multicompartmental models that explain drug resistance involving metabolic and immune reprogramming. We also propose a method for facilitating personalised therapeutic decisions, which uses 18F-fluoromisonidazole-positron emission tomography to monitor the dual stromal response in tumours of individual patients.

摘要

病理性血管生成涉及肿瘤细胞与肿瘤微环境中其他细胞谱系之间复杂而动态的相互作用。临床前和临床数据表明,肿瘤对抗血管生成药物可表现出两种不同的适应性反应:一种成功的适应性反应是血管正常化,而第二种适应性反应则是通过血管修剪和缺氧增加引发的。这些现象取决于肿瘤类型和药物类型。研究对抗血管生成药物获得性耐药的经典方法是识别因VEGF阻断而出现的代偿性信号通路,这已促成了高效药物的研发;然而,这些药物最终还是失败了。在此,我们综述了双重基质适应性模式如何决定逃逸机制,这些机制超出了信号转导通路的重编程,这迫使我们将肿瘤作为一个生态系统来研究,并开发单室和多室模型来解释涉及代谢和免疫重编程的耐药性。我们还提出了一种促进个性化治疗决策的方法,该方法使用18F-氟米索硝唑-正电子发射断层扫描来监测个体患者肿瘤中的双重基质反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf76/5418445/15bef87e4d66/bjc201769f1.jpg

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