跳至主要内容
临床试验/NCT04671654
NCT04671654招募中不适用

Systematic Evaluation of Human Explant Model Systems Engineering

University Hospital Heidelberg1 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2020年8月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
100
试验地点
1
主要终点
Tissue Biopsy Specimen vs Tumor Explant Model Prediction

研究概览

简要总结

All current forms of therapy for tumor patients are essentially based on clinical, genomic or histopathological criteria for the choice of therapy. However, the change in the tissue during therapy is of particular importance for patients, both with regard to the development of resistance and the side effect profile. This applies in particular to immunotherapies and their use in advanced tumor diseases. Preliminary work on the fully human tumor explant model has shown that the use of human donor tissue in the context of a special bioreactor makes it possible to improve the possibilities of predicting and better understanding the mechanism of action of a therapeutic agent. Since there is a considerable need for personalized and thus improved therapy management in the field of oncology, the aim of this study is on the one hand to improve the decisive tissue parameters for the cultivation of human donated material and on the other hand to understand the basic reaction patterns of the tissue to therapies.

详细描述

Personalized therapy is still one of the great goals of oncology. In view of the success of checkpoint inhibitor therapies in selected solid tumors, the question remains why other tumor diseases do not respond in the same way to the therapy. However, this is not only limited to immunotherapies. In principle, the understanding of the dynamic changes in a patient's tissue has so far been very limited, both for predicting a therapy success and with regard to the mechanistic understanding of how a therapy works. Model systems for diseases are often animal models that reproduce the complexity of a multi-organ system, but show significant differences to humans at the tissue level and therefore have only little informative value. Cell culture experiments, on the other hand, have only little informative value with regard to the overall behavior of a tissue or even an organ or the disease situation. "Naturalistic" co-culture in the Petri dish (such as with organoid systems) does not allow any sensible transferable insights, even if complex cell compositions of fibroblasts, endothelium or immune cells are used. In contrast, there is another problem for in vivo tumor models: either there is a lack of flexibility with regard to the structural context or the species-specific system properties do not allow any conclusions to be drawn about the situation in humans. This is a massive limitation, especially for translational studies. The Tumor Explant Model System developed by us allows the structural integrity of the tissue context to be maintained in the context of obtaining a biopsy or removing a resection. The tissue sample obtained in this way is kept in equilibrium via a bioreactor and can thus be used for tests or is preserved in its context of the tissue. It is also possible in the sense of a personalized diagnosis and therapy to take into account the individual bandwidth of the composition of the tumor microenvironment. This approach has already been validated in a prospective study and the transferability of the results from the explant models to humans has been proven. In this situation, the systematic construction of explant models for other tumor entities and the use of these models for therapy development and for better understanding of pathoregulation in tissues. In addition to the tissue samples donated by the study participants, blood cells can also be used for testing the tissue.hand to understand the basic reaction patterns of the tissue to therapies.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Tissue material for Explant Model generation available or accessible

排除标准

  • curatively resected/treated tumors

结局指标

主要结局

Tissue Biopsy Specimen vs Tumor Explant Model Prediction

时间窗: up to 24 weeks

Comparison of serial biopsy measurements to Explant Model measurements in the context of individual Patient variability, Serial biopsy timepoints can vary between 1 day up to 24 weeks

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Niels Halama

Head of Department Translational Immunotherapy DKFZ

University Hospital Heidelberg

研究点 (1)

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