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Systematic Evaluation of Human Explant Model Systems Engineering

Systematic Evaluation of Human Explant Model Systems Engineering

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04671654
Acronym
SEEDLING
Enrollment
100
Registered
2020-12-17
Start date
2020-08-01
Completion date
2025-08-31
Last updated
2021-12-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Solid Tumor, Adult

Keywords

cancer, metastases, immunotherapy, radiation, chemotherapy, targeted therapy

Brief summary

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.

Detailed description

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.

Interventions

None listed

Sponsors

German Cancer Research Center
CollaboratorOTHER
University Hospital Heidelberg
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Tissue material for Explant Model generation available or accessible

Exclusion criteria

* curatively resected/treated tumors

Design outcomes

Primary

MeasureTime frameDescription
Tissue Biopsy Specimen vs Tumor Explant Model Predictionup to 24 weeksComparison 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

Countries

Germany

Contacts

Primary ContactAzaz Ahmed, Dr. med.
Azaz.Ahmed@med.uni-heidelberg.de+49-6221-56-7229
Backup ContactNiels Halama, Dr. med.
Niels.Halama@nct-heidelberg.de+49-6221-56-4801

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026