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B-amyloid as a Marker for GBM Bioimaging

U

Universidad Central del Caribe

Status and phase

Not yet enrolling
Phase 2

Conditions

Glioblastoma

Treatments

Drug: Amyvid, Intravenous Solution

Study type

Interventional

Funder types

Other

Identifiers

NCT05820191
AMY-GBM

Details and patient eligibility

About

This project is aimed at improvement of glioblastoma (GBM) diagnostic strategies for discrimination of tumor progression and chemo- and radiotherapeutic treatment-related changes in brain tissue. The study will elucidate the diagnostic value of PET imaging with use of amyloid-β radioisotope tracer Amyvid (Florbetapir F18) for GBM. The results of the study will provide data for development of new approach for GBM diagnostics.

Full description

Glioblastoma (GBM) is one of the most malignant forms of brain cancer. Majority of GBMs relapse shortly after tumor resection, and the timely follow-up diagnosis and treatment is vital for patient's survival. However, chemo- and radiotherapeutic treatment of GBM patients cause metabolic and structural changes in brain parenchyma, manifested as metabolic and matrix remodeling modifications, and mimic tumor progression in magnetic resonance imaging (MRI) images. This creates difficulties in discrimination of real tumor progression and post-treatment modifications. No current imaging techniques, including MRI, magnetic resonance spectroscopy (MRS) or perfusion MR (MRP) can provide effective determination of tumor progression and treatment-related changes of brain tissue, that represents current unmet clinical need. The goal of the study is to identify specific biomarker for GBM, that can be used for precise imaging and diagnostics.

The accumulation of amyloid-β in human GBM specimens and in mouse glioma implantation model was previously demonstrated. Intravenous administration of amyloid-β marker thioflavin T resulted in accumulation of fluorescence in brain tumors in mouse GBM model 15 minutes after administration and allowed detailed visualization of tumor structure with use of confocal microscopy. The hypothesis of the study is that Amyvid (Florbetapir F18), a radioisotope tracer, that binds amyloid aggregates and is currently used for brain PET diagnostics of Alzheimer disease, can be used as a safe and effective marker for PET diagnostics of recurrent GBM.

The central study question: if Amyvid-PET provides visualization of GBM tumors and discriminate recurrent tumor and post-treatment tissue modifications in human brain, and thus presents the potential for amyloid-binding radioisotope tracers as GBM diagnostic tool. The purpose of the study is to characterize and describe the ability of Amyvid to reach GBM tumor in humans and to bind specific tumor structures as necrotic, middle and invasion areas of tumor, as well as blood vessel structures and extracellular matrix in tumor. The study is designed as human clinical trials phase 2A.

Enrollment

3 estimated patients

Sex

All

Ages

21+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • GBM diagnose confirmed by MRI and histopathology
  • Had undergone gross total or subtotal resection of their tumor and developed enlarging and/or new enhancing lesion(s), recommended for second resection
  • Had or had not received radiation therapy with concomitant and adjuvant TMZ chemotherapy
  • Had pre-operative and follow up conventional MRI, MRS and/or Perfusion MR scans, available for analysis

Exclusion criteria

• Previous allergic reaction to radioisotope tracers

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

3 participants in 1 patient group

AMY-GBM
Experimental group
Description:
Amyvid-PET scan will be performed. According to approved protocol for Alzheimer's disease diagnostics, 370MBq (10mCi) absorbed dose 7mSv of Amyvid will be introduced intravenously and 30-50 minutes after the PET images will be acquired.
Treatment:
Drug: Amyvid, Intravenous Solution

Trial contacts and locations

2

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Central trial contact

Lilia Kucheryavykh, PhD; Miguel Mayol Del Valle, MD

Data sourced from clinicaltrials.gov

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