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Stem Cell Analysis, Omics (Including Immunomics) and Artificial Intelligence in Glioblastoma
Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Summary
The study aims at: 1. Perform a multilayer analysis relying on tight integration of in-depth multi-omics approaches with clinical data to discover immune markers, with attention to age and sex differences, predicting prognosis and defining key life/environmental elements, to guide AI-driven personalised treatments and ensure improved care and QoL of glioblastoma patients. 2. To deepen glioblastoma knowledge through the study of glioblastoma stem cell cultures and to assess the sensitivity of glioblastoma stem cell cultures to a number of chemotherapeutics in different experimental conditions. 3. To create a comprehensive, stakeholder-generated guidelines for the ethical use of patient data for artificial intelligence-assisted prediction systems in glioblastoma, including an online, easily accessible patient information brochure to increase patient empowerment in the field.
Official title: Improving Personalised Glioblastoma Care by Stem Cell Analysis, Omics (Including Immunomics) and Artificial Intelligence Approaches
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
120
Start Date
2024-02-29
Completion Date
2026-12-30
Last Updated
2025-03-13
Healthy Volunteers
No
Conditions
Interventions
Biological biomarker analysis
Collection of tumor and blood samples at T0 (surgery) and T1 (6 months follow-up) Tumor microenvironment and blood multi-omics analysis In-depth functional characterization of tumor microenvironment Cancer stem cells generation and drug testing Data integration by business intelligence and development of AI-based prognostic markers
Locations (1)
Fondazione Policlinico Universitario A. Gemelli IRCCS
Rome, Italy