Drug-screening in AML at Relapse for Targeted Treatment
NCT ID: NCT05732688
Last Updated: 2024-07-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
30 participants
INTERVENTIONAL
2022-01-01
2024-07-01
Brief Summary
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Patients with relapsing disease are planned to be analyzed in this study
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Detailed Description
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For elderly or unfit patients, such an intensive approach is not feasible, and palliative treatment must be considered. The standard first-line-treatment for such patients since more than a decade comprises repetitive cycles of a hypomethylating agent (either Azacitidine or Decitabine). The median progression free survival following these approaches in this population is between 4 and 8 months, with an overall-survival of up to 12 months. More recently, the addition of the Bcl-2 inhibitor Venetoclax to hypomethylating agents has led to a modest improvement both of progression-free and overall survival. However, overall survival in such patients usually does not exceed 14-16 months.
The laboratory of Prof. Berend Snijder, Institute of Molecular Systems Biology, at the ETH (Eidgenössische Technische Hochschule) Zurich has developed an image-based ex-vivo drug screening platform for patients with aggressive haematological malignancies, also called pharmacoscopy. Using such a technique, leukemic cells from a patient at relapse can be rapidly screened for sensitivity to single compounds. A drug score is calculated for each compound.
Starting in Q2/2021, the investigator at the Department of Medical Oncology, University Hospital Inselspital in Bern, collected experiences using such an approach. Having received information from the laboratory on top sensitivity of leukemic cells of a given patient to a specific drug, a process is initiated to try to obtain access to such off-label drugs.
Conditions
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Study Design
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NA
SINGLE_GROUP
SCREENING
NONE
Study Groups
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Pharmacoscopy
Leukemic cells from a patient at relapse can be screened for sensitivity to single compounds
Image-based ex-vivo drug screening platform (pharmacoscopy)
Leukemic cells from a patient at relapse can be screened for sensitivity to single compounds. A drug score is calculated for each compound (defined as 1 - (% target cells in drug treated conditions / % target cells under control condition)). If a drug kills all target cells specifically, the best possible score is "1". If the drug is killing all non-target cells, the score goes to negative infinite. If a drug kills both target and non-target cell populations equally, or does nothing, the score is "0".
Interventions
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Image-based ex-vivo drug screening platform (pharmacoscopy)
Leukemic cells from a patient at relapse can be screened for sensitivity to single compounds. A drug score is calculated for each compound (defined as 1 - (% target cells in drug treated conditions / % target cells under control condition)). If a drug kills all target cells specifically, the best possible score is "1". If the drug is killing all non-target cells, the score goes to negative infinite. If a drug kills both target and non-target cell populations equally, or does nothing, the score is "0".
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Patients are not planned to undergo intensive reinduction treatment with subsequent allogeneic hematopoietic transplantation in a curative intent.
* Patients have exhausted all standard therapeutic options and they must have no available licensed standard treatment for relapsed AML.
* Written informed consent
Exclusion Criteria
* Patients have available standard therapeutic options
18 Years
ALL
No
Sponsors
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Insel Gruppe AG, University Hospital Bern
OTHER
Responsible Party
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Principal Investigators
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Thomas Pabst, Prof Dr. med
Role: STUDY_CHAIR
Department for Medical Oncology; University Hospital/Inselspital
Locations
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Departement of Medical Oncology, University Hospital Berne
Bern, , Switzerland
Countries
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Other Identifiers
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DARTT-1
Identifier Type: -
Identifier Source: org_study_id
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