个性化医疗
类有机物
精密医学
圣杯
离体
计算机科学
计算生物学
医学
体内
生物信息学
生物
生物技术
病理
万维网
神经科学
作者
Valentin Benboubker,George M. Ramzy,S. Jacobs,Patrycja Nowak‐Sliwinska
标识
DOI:10.1186/s13046-024-03173-x
摘要
Abstract Patient-derived organoids (PDOs) established from tissues from various tumor types gave the foundation of ex vivo models to screen and/or validate the activity of many cancer drug candidates. Due to their phenotypic and genotypic similarity to the tumor of which they were derived, PDOs offer results that effectively complement those obtained from more complex models. Yet, their potential for predicting sensitivity to combination therapy remains underexplored. In this review, we discuss the use of PDOs in both validation and optimization of multi-drug combinations for personalized treatment strategies in CRC. Moreover, we present recent advancements in enriching PDOs with diverse cell types, enhancing their ability to mimic the complexity of in vivo environments. Finally, we debate how such sophisticated models are narrowing the gap in personalized medicine, particularly through immunotherapy strategies and discuss the challenges and future direction in this promising field.
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