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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06323408
Other study ID # BZKF-AYA_1.0
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date March 2024
Est. completion date March 2026

Study information

Verified date March 2024
Source University Hospital Regensburg
Contact Peter Hau, Prof.
Phone +49941944
Email peter.hau@ukr.de
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The treatment of adolescents and young adults (AYA, 15 to 39 years) with malignant intra-axial CNS parenchymal tumors such as IDH-mutated gliomas, medulloblastomas and ependymomas is still not curative in all cases. The tumor biology and clinical needs to diagnose and treat these tumors are comparable across all age groups, so an integrated treatment environment overseen by adult and pediatric neuro-oncology specialists seems promising to leverage synergisms and advance diagnostic and therapeutic development in these tumors. A comprehensive, prospective and integrated biomaterial and imaging-based pipeline for the multi-faceted evaluation of AYAs has not yet been established for AYA patients with brain tumors in Germany. Current diagnostic platforms neglect the integrative processing of data from MRI and FET-PET imaging, radiotherapy plans, tumor tissue, liquid biopsies and clinical data as well as prognostic markers. A prospective AYA pipeline can therefore enable a better understanding of the aforementioned high-risk CNS malignancies and promises clinical advances for AYA patients and the clinical and scientific research landscape.


Description:

Objectives: We are conducting a non-interventional study for AYAs with malignant intraaxial CNS parenchymal tumors. All 6 Bavarian BZKF sites are involved in the study. We will collect data on diagnostic and prognostic MRI and FET-PET imaging, quality assurance in radiotherapy and radiotherapy treatment patterns, diagnostic and predictive liquid biopsies from CSF and blood and targeted therapy approaches and integrate them bioinformatically with clinical data. Work packages: WP01 Prediction of diagnosis by artificial intelligence (AI)-assisted processing of MRI and FET-PET; WP02 Analysis of response and relapse patterns by AI-assisted processing of MRI and FET-PET; WP03 Quality control of radiotherapy planning and patterns-of-care analysis; WP04 Prediction of response, relapse and treatment density using markers identified in liquid biopsies from CSF and blood; WP05 Identification of targets for targeted therapy from paraffin-embedded tissue (FFPE), CSF and blood; WP06 Investigation of clinical patterns and progression (PFS) or WP07 Bioinformatic integration of data to predict PFS, OS and patterns of response, relapse, treatment density and potential molecular targets. Inclusion criteria: (1) first diagnosis of high-risk CNS tumors including IDHmutated gliomas, medulloblastomas, ependymomas, and other intra-axial primary brain tumors; (2) adolescents and young adults (AYA; 15 to 39 years); (3) Karnofsky status of 60 or higher; (4) multimodality therapy planned at the discretion of the medical professional; (5) expected survival min. 6 months; (6) informed consent by patient and (for patients under 18 years) legal representative; (7) complete material collection expected. Exclusion criteria: (1) synchronous independent tumor disease, except basal cell carcinoma and carcinoma in situ; (2) participation in interventional clinical trial, except in standard arms of interventional clinical trials.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 72
Est. completion date March 2026
Est. primary completion date September 2025
Accepts healthy volunteers
Gender All
Age group 15 Years to 39 Years
Eligibility Inclusion Criteria: 1. first diagnosis of high-risk CNS tumors including glioma IDHmutated, medulloblastoma, ependymoma and other intra-axial primary brain tumors 2. adolescents and young adults (AYA; 15 to 39 years) 3. Karnofsky status of 60 or higher 4. resection, extended biopsy or stereotactic biopsy with sufficient tissue volume 5. multimodal therapy planned at the discretion of the treating specialist 6. expected survival time of at least 6 months 7. informed consent from the patient or the patient's legal guardian prior to the first study procedure 8. complete material collection expected. Exclusion Criteria: 1. synchronous independent tumor disease other than basal cell carcinoma and carcinoma in situ 2. participation in interventional clinical trial except in standard arms of interventional clinical trials.

Study Design


Intervention

Diagnostic Test:
Tissue, blood, cerebrospinal-spinal fluid
Processing, analysis

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
University Hospital Regensburg

Outcome

Type Measure Description Time frame Safety issue
Primary AI processing of MRI fand PET or diagnosis Prediction of diagnosis by artificial intelligence (AI)-assisted processing of magnetic resonance imaging (MRI) and Fluorethyltyrosin-Positron Emission Tomography (FET-PET) March 2026
Primary AI processing of MRI and PET for evaluation of response and relapse Analysis of response and relapse patterns by artificial intelligence (AI)-assisted processing of magnetic resonance imaging (MRI) and Fluorethyltyrosin-Positron Emission Tomography (FET-PET) March 2026
Primary Quality control analysis in radiotherapy Quality control of radiotherapy planning and patterns-of-care analysis March 2026
Primary Analysis of response in liquid biopsies Prediction of response using markers detected in liquid biopsies from cerebrospinal fluid and blood March 2026
Primary Target molecules in tissue and liquid biopsies Identification of target molecules for targeted therapy from paraffin-embedded tissue (FFPE), cerebrospinal fluid and blood March 2026
Primary Evaluation of progression free survival Investigation of clinical patterns of response in view of progression free survival (PFS) March 2026
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