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The arrival of predictive biomarkers for monitoring therapy response to natural compounds in cancer drug discovery

机译:预测生物标志物的到来,监测治疗对癌症药物发现中天然化合物的治疗反应

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Intrinsic or acquired drug resistance, adverse drug reactions and tumor heterogeneity between and within cancer patients limit the efficacy of clinical management of advanced cancers. To overcome these barriers, predictive biomarkers have recently emerged to guide medical oncologists in the selection of cancer patients who will respond to various anticancer treatments and to improve the toxicity to benefit ratio. Notably, targeted therapy has significantly benefited from these advances, but the application of predictive biomarkers have been a bit slower with some drugs derived from natural sources such as trabectedin, cabazitaxel and alvocidib. In this paper, we discuss some recent advances regarding the use of cancer biomarkers to predict efficacy of some selected natural compounds with a focus on human clinical studies.
机译:癌症患者和癌症患者之间的内在或获得的耐药性,不良药物反应和肿瘤异质性限制了晚期癌症的临床管理的疗效。 为了克服这些障碍,最近出现了预测的生物标志物,以指导医学肿瘤学家在选择癌症患者,这些患者会对各种抗癌治疗作出反应并改善毒性的毒性。 值得注意的是,有针对性的治疗从这些进步中得到了大大利益,但预测性生物标志物的应用已经较慢,源自自然来源,如捕获素,卡布特克和阿尔瓦替米布等一些药物。 在本文中,我们讨论了关于使用癌症生物标志物的一些进展,以预测一些选定的天然化合物的效果,重点是人类临床研究。

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