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基于类器官药物反应的结直肠癌患者前瞻性实验治疗。

Prospective experimental treatment of colorectal cancer patients based on organoid drug responses.

机构信息

Department of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Oncode Institute, Utrecht, The Netherlands.

Department of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Oncode Institute, Utrecht, The Netherlands; Department of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

出版信息

ESMO Open. 2021 Jun;6(3):100103. doi: 10.1016/j.esmoop.2021.100103. Epub 2021 Apr 19.


DOI:10.1016/j.esmoop.2021.100103
PMID:33887686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8086019/
Abstract

BACKGROUND: Organoid technology has recently emerged as a powerful tool to assess drug sensitivity of individual patient tumors in vitro. Organoids may therefore represent a new avenue for precision medicine, as this circumvents many of the complexities associated with DNA- or transcriptional-profiling. MATERIALS AND METHODS: The SENSOR trial was a single-arm, single-center, prospective intervention trial to evaluate the feasibility of patient-derived organoids to allocate patients for treatment with off-label or investigational agents. The primary endpoint was an objective response rate of ≥20%. Patients underwent a biopsy for culture before commencing their last round standard of care. Organoids were exposed to a panel of eight drugs and patients were treated after progression on standard-of-care treatment and when a clear signal of antitumor activity was identified in vitro. RESULTS: Sixty-one patients were included and we generated 31 organoids of 54 eligible patients. Twenty-five cultures were subjected to drug screening and 19 organoids exhibited substantial responses to one or more drugs. Three patients underwent treatment with vistusertib and three with capivasertib. Despite drug sensitivity of organoids, patients did not demonstrate objective clinical responses to the recommended treatment. CONCLUSIONS: Organoid technology had limited value as a tool for precision medicine in this patient population because a large fraction of patients could not undergo treatment or because the recommended treatment did not elicit an objective response. We identified several essential parameters, such as the culture success rate, clinical deterioration of patients during standard of care, and rational design of drug panels that need to be accounted for in organoid-guided clinical studies.

摘要

背景:类器官技术最近已成为评估个体患者肿瘤体外药物敏感性的强大工具。因此,类器官可能代表精准医学的新途径,因为它避免了与 DNA 或转录谱分析相关的许多复杂性。

材料和方法:SENSOR 试验是一项单臂、单中心、前瞻性干预试验,旨在评估患者来源的类器官是否可用于为接受非标签或研究性药物治疗的患者分配。主要终点是客观缓解率≥20%。患者在开始最后一轮标准治疗前进行活检培养。类器官暴露于一组 8 种药物中,在标准治疗进展后和在体外观察到明确的抗肿瘤活性信号时对患者进行治疗。

结果:共纳入 61 例患者,我们从 54 例合格患者中生成了 31 个类器官。25 个培养物进行了药物筛选,19 个类器官对一种或多种药物表现出显著的反应。3 例患者接受 vistusertib 治疗,3 例患者接受 capivasertib 治疗。尽管类器官具有药物敏感性,但患者对推荐的治疗方法没有表现出客观的临床反应。

结论:在该患者人群中,类器官技术作为精准医学工具的价值有限,因为很大一部分患者无法接受治疗,或者因为推荐的治疗方法没有产生客观的反应。我们确定了几个必要的参数,例如培养成功率、标准治疗期间患者的临床恶化以及药物面板的合理设计,这些都需要在类器官指导的临床研究中考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5d7/8086019/c9ba18c8ac20/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5d7/8086019/29c628383584/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5d7/8086019/c9ba18c8ac20/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5d7/8086019/29c628383584/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5d7/8086019/c9ba18c8ac20/gr2.jpg

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[1]
Prospective experimental treatment of colorectal cancer patients based on organoid drug responses.

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[2]
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[3]
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[6]
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[7]
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[10]
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[2]
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[3]
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[4]
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J Immunother Cancer. 2025-6-25

[5]
Colorectal Organoids: Models, Imaging, Omics, Therapy, Immunology, and Ethics.

Cells. 2025-3-19

[6]
Establishment and characterization of novel patient-derived esophageal tumoroids with long-term cultivability.

Hum Cell. 2025-3-19

[7]
Organoid models: applications and research advances in colorectal cancer.

Front Oncol. 2025-2-7

[8]
Predicting patient outcomes with gene-expression biomarkers from colorectal cancer organoids and cell lines.

Front Mol Biosci. 2025-1-15

[9]
Preclinical Models for Functional Precision Lung Cancer Research.

Cancers (Basel). 2024-12-25

[10]
Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.

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