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.
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.