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临床试验/NCT06323408
NCT06323408尚未招募不适用

Prospective Collection of Clinical and Imaging Data, Radiotherapy Planning and Biomaterials for Integrated Analysis of Therapy Response and Resistance and Detection of Molecular Targets in Adolescents and Young Adults With CNS Tumors

University Hospital Regensburg0 个研究点目标入组 72 人开始时间: 2025年5月最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
72
主要终点
Analysis of response in liquid biopsies

研究概览

简要总结

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.

详细描述

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.

研究设计

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

入排标准

年龄范围
15 Years 至 39 Years(Child, Adult)
性别
All
接受健康志愿者

入选标准

  • first diagnosis of high-risk CNS tumors including glioma IDHmutated, medulloblastoma, ependymoma and other intra-axial primary brain tumors
  • adolescents and young adults (AYA; 15 to 39 years)
  • Karnofsky status of 60 or higher
  • resection, extended biopsy or stereotactic biopsy with sufficient tissue volume
  • multimodal therapy planned at the discretion of the treating specialist
  • expected survival time of at least 6 months
  • informed consent from the patient or the patient's legal guardian prior to the first study procedure
  • complete material collection expected.

排除标准

  • synchronous independent tumor disease other than basal cell carcinoma and carcinoma in situ
  • participation in interventional clinical trial except in standard arms of interventional clinical trials.

结局指标

主要结局

Analysis of response in liquid biopsies

时间窗: March 2026

Prediction of response using markers detected in liquid biopsies from cerebrospinal fluid and blood

AI processing of MRI fand PET or diagnosis

时间窗: March 2026

Prediction of diagnosis by artificial intelligence (AI)-assisted processing of magnetic resonance imaging (MRI) and Fluorethyltyrosin-Positron Emission Tomography (FET-PET)

Target molecules in tissue and liquid biopsies

时间窗: March 2026

Identification of target molecules for targeted therapy from paraffin-embedded tissue (FFPE), cerebrospinal fluid and blood

AI processing of MRI and PET for evaluation of response and relapse

时间窗: March 2026

Analysis of response and relapse patterns by artificial intelligence (AI)-assisted processing of magnetic resonance imaging (MRI) and Fluorethyltyrosin-Positron Emission Tomography (FET-PET)

Evaluation of progression free survival

时间窗: March 2026

Investigation of clinical patterns of response in view of progression free survival (PFS)

Quality control analysis in radiotherapy

时间窗: March 2026

Quality control of radiotherapy planning and patterns-of-care analysis

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

Peter Hau

Prof.

University Hospital Regensburg

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