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Toward stratification of patients with pancreatic cancer: Past lessons from traditional approaches and future applications with physical biomarkers

机译:走向胰腺癌患者分层:传统方法的以往经验教训以及物理生物标记物的未来应用

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摘要

Pancreatic ductal adenocarcinoma (PDAC) has a high mortality rate and outcomes have not improved substantially for decades. Significant attention has focused on the biological drivers of the disease, and preclinical work has pointed to multiple biomarker candidates and therapeutic avenues. However, translation of these promising biomarkers and treatment strategies to patients has not been overwhelmingly successful. New strategies to account for the significant heterogeneity of the disease are needed so that rational treatments can be administered. Here, we focus on how physical sciences-based approaches may play a role in stratifying patients for clinical trials, and how this view of PDAC may reinvigorate treatment strategies that have been abandoned after "failing" to fulfill their potential in unselected patient populations. By complementing biological approaches, the development of physical biomarkers of PDAC may help deliver on the promise of personalized medicine for this devastating disease. (C) 2016 Published by Elsevier Ireland Ltd.
机译:胰腺导管腺癌(PDAC)的死亡率很高,并且几十年来未见明显改善。大量关注已集中在疾病的生物学驱动力上,并且临床前工作已指出了多种候选生物标志物和治疗途径。然而,将这些有前途的生物标志物和治疗策略翻译给患者的方法并没有取得巨大的成功。需要新的策略来解决疾病的重大异质性,以便可以进行合理的治疗。在这里,我们关注基于物理科学的方法如何在将患者分层进行临床试验中发挥作用,以及对PDAC的这种看法如何重振那些在“失败”后被放弃的治疗策略,以在未选择的患者人群中发挥其潜力。通过补充生物学方法,PDAC物理标志物的开发可能有助于实现针对这种破坏性疾病的个性化药物的希望。 (C)2016由爱思唯尔爱尔兰有限公司出版。

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