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利用患者来源检测进行功能精准肿瘤学:连接基因型与表型。

Functional precision oncology using patient-derived assays: bridging genotype and phenotype.

机构信息

Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.

出版信息

Nat Rev Clin Oncol. 2023 May;20(5):305-317. doi: 10.1038/s41571-023-00745-2. Epub 2023 Mar 13.

Abstract

Genomics-based precision medicine has revolutionized oncology but also has inherent limitations. Functional precision oncology is emerging as a complementary approach that aims to bridge the gap between genotype and phenotype by modelling individual tumours in vitro. These patient-derived ex vivo models largely preserve several tumour characteristics that are not captured by genomics approaches and enable the functional dissection of tumour vulnerabilities in a personalized manner. In this Review, we discuss several examples of personalized functional assays involving tumour organoids, spheroids and explants and their potential to predict treatment responses and drug-induced toxicities in individual patients. These developments have opened exciting new avenues for precision oncology, with the potential for successful clinical applications in contexts in which genomic data alone are not informative. To implement these assays into clinical practice, we outline four key barriers that need to be overcome: assay success rates, turnaround times, the need for standardized conditions and the definition of in vitro responders. Furthermore, we discuss novel technological advances such as microfluidics that might reduce sample requirements, assay times and labour intensity and thereby enable functional precision oncology to be implemented in routine clinical practice.

摘要

基于基因组学的精准医学已经彻底改变了肿瘤学,但也存在固有局限性。功能精准肿瘤学作为一种补充方法正在出现,旨在通过体外模拟个体肿瘤来弥合基因型和表型之间的差距。这些患者来源的离体模型在很大程度上保留了基因组学方法无法捕捉到的几种肿瘤特征,并能够以个性化的方式对肿瘤脆弱性进行功能剖析。在这篇综述中,我们讨论了涉及肿瘤类器官、球体和外植体的几种个性化功能检测的例子,以及它们在预测个别患者的治疗反应和药物诱导毒性方面的潜在应用。这些进展为精准肿瘤学开辟了令人兴奋的新途径,有可能在仅基因组数据无信息的情况下成功应用于临床。为了将这些检测方法应用于临床实践,我们概述了需要克服的四个关键障碍:检测方法的成功率、周转时间、标准化条件的必要性以及体外反应者的定义。此外,我们还讨论了微流控等新技术的进步,这些进步可能会减少样本需求、检测时间和劳动力强度,从而使功能精准肿瘤学能够在常规临床实践中得到实施。

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