Ex Vivo Analysis of Primary Tumor Specimens for Evaluation of Cancer Therapeutics.

IF 4.7 2区 医学 Q1 ONCOLOGY
Cristina E Tognon, Rosalie C Sears, Gordon B Mills, Joe W Gray, Jeffrey W Tyner
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引用次数: 9

Abstract

The use of ex vivo drug sensitivity testing to predict drug activity in individual patients has been actively explored for almost 50 years without delivering a generally useful predictive capability. However, extended failure should not be an indicator of futility. This is especially true in cancer research where ultimate success is often preceded by less successful attempts. For example, both immune- and genetic-based targeted therapies for cancer underwent numerous failed attempts before biological understanding, improved targets, and optimized drug development matured to facilitate an arsenal of transformational drugs. Similarly, the concept of directly assessing drug sensitivity of primary tumor biopsies-and the use of this information to help direct therapeutic approaches-has a long history with a definitive learning curve. In this review, we will survey the history of ex vivo testing as well as the current state of the art for this field. We will present an update on methodologies and approaches, describe the use of these technologies to test cutting-edge drug classes, and describe an increasingly nuanced understanding of tumor types and models for which this strategy is most likely to succeed. We will consider the relative strengths and weaknesses of predicting drug activity across the broad biological context of cancer patients and tumor types. This will include an analysis of the potential for ex vivo drug sensitivity testing to accurately predict drug activity within each of the biological hallmarks of cancer pathogenesis.

原发肿瘤标本体外分析评价肿瘤治疗方法。
使用体外药物敏感性试验来预测个体患者的药物活性已经被积极探索了近50年,但没有提供普遍有用的预测能力。然而,扩展失败不应该是无用的指示。在癌症研究中尤其如此,在最终的成功之前往往是不太成功的尝试。例如,在生物学理解、改进的靶点和优化的药物开发成熟以促进转化药物的武库之前,针对癌症的免疫和基因靶向治疗都经历了多次失败的尝试。同样,直接评估原发肿瘤活检的药物敏感性的概念——以及利用这些信息来帮助指导治疗方法——有着悠久的历史和明确的学习曲线。在这篇综述中,我们将回顾体外试验的历史以及该领域目前的技术状况。我们将介绍最新的方法和方法,描述这些技术在测试尖端药物类别中的应用,并描述对这种策略最有可能成功的肿瘤类型和模型的日益细致的理解。我们将考虑在癌症患者和肿瘤类型的广泛生物学背景下预测药物活性的相对优势和劣势。这将包括分析体外药物敏感性测试的潜力,以准确预测癌症发病机制的每个生物学标志内的药物活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
14.50
自引率
1.30%
发文量
13
期刊介绍: The Annual Review of Cancer Biology offers comprehensive reviews on various topics within cancer research, covering pivotal and emerging areas in the field. As our understanding of cancer's fundamental mechanisms deepens and more findings transition into targeted clinical treatments, the journal is structured around three main themes: Cancer Cell Biology, Tumorigenesis and Cancer Progression, and Translational Cancer Science. The current volume of this journal has transitioned from gated to open access through Annual Reviews' Subscribe to Open program, ensuring all articles are published under a CC BY license.
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