Analyzing stem cells and using AI to improve glioblastoma treatment
Official title: Improving Personalised Glioblastoma Care by Stem Cell Analysis, Omics (Including Immunomics) and Artificial Intelligence Approaches
Run by Fondazione Policlinico Universitario Agostino Gemelli IRCCS · NCT05941234 · Data updated 2026-11-12
This study is testing how stem cells and artificial intelligence can help improve treatment for people with glioblastoma by finding ways to predict their outcomes and making sure patients have the information they need to make informed choices.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 120 (estimated) |
| Sponsor | Fondazione Policlinico Universitario Agostino Gemelli IRCCS Academic / other |
| Locations | 1 site (Rome) |
| Status | Recruiting |
| Started | February 29, 2024 |
| Main results expected | May 30, 2026 |
| Study ends | December 30, 2026 |
| Registry record updated | March 13, 2025 |
| Trial ID | NCT05941234 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 and older with a radiological diagnosis of supratentorial glioblastoma or its first recurrence.
✕Probably not a fit
Patients who do not have sufficient pathological material available for analysis or lack a definitive pathological diagnosis of glioblastoma will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study focuses on glioblastoma, specifically IDH-wildtype, by integrating multi-omics approaches with clinical data to identify immune markers that can predict patient prognosis. It aims to enhance understanding of glioblastoma through the study of stem cell cultures and their sensitivity to various chemotherapeutics. Additionally, the study seeks to establish ethical guidelines for the use of patient data in AI-assisted prediction systems, while also creating accessible information for patients to empower them in their treatment decisions.
Why it matters
Potential benefit: If successful, this study could lead to personalized treatment strategies that significantly improve the quality of life for glioblastoma patients.
How similar studies have gone: Other studies have shown promise in using multi-omics and AI approaches in cancer treatment, suggesting potential success for this novel integration in glioblastoma.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: To be enrolled in the study patients must: 1. Have a radiological diagnosis of supratentorial glioblastoma, or 2. Have a radiological diagnosis of first recurrence of a primary supratentorial glioblastoma (for which a formal histopathologic diagnosis of glioblastoma had made at first surgery), according with RANO criteria; 3. Be a candidate to neurosurgery for glioblastoma at the Operational Unit of Neurosurgery Fondazione Policlinico Gemelli IRCCS; 4. Be of an age of 18 years or above; 5. Provide written informed consent for participation to the study. Exclusion criteria To be enrolled in the study patients must not: 1. Have not enough pathological material removed at surgery available both for mandatory routine histopathological diagnosis and for the present study, as judged by the Principal Investigator; 2. Have not a definitive pathological diagnosis of a primary supratentorial glioblastoma, according with 2021 World Health Organization classification.
Where it's running
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Fondazione Policlinico Universitario A. Gemelli IRCCS
Rome, Italy Recruiting
Study contacts
- Principal investigator: Quintino Giorgio D'Alessandris, MD, PhD — Fondazione Policlinico Universitario Agostino Gemelli IRCCS
- Study coordinator: Quintino Giorgio D'Alessandris, MD, PhD
- Email: quintinogiorgio.dalessandris@policlinicogemelli.it
- Phone: +39 06 30155414
Similar studies
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GI-102 With or Without Pembrolizumab Before Surgery for Recurrent or Progressive Grade 4 Gliomas
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.