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Recruiting NCT05941234

Stem Cell Analysis, Omics (Including Immunomics) and Artificial Intelligence in Glioblastoma

No phase Interventional Glioblastoma, IDH-wildtype

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Biological biomarker analysis.
Who it may be relevant to
Registry conditions: Glioblastoma, IDH-wildtype. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Italy
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Improving Personalised Glioblastoma Care by Stem Cell Analysis, Omics (Including Immunomics) and Artificial Intelligence Approaches

Overview

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.

Interventions

  • Other 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

Primary outcome measures

  • Identification of immune signatures in glioblastoma predictive of overall survival [Time frame: 36 months]
  • identification of lifestyle/environmental signatures predictive of overall survival [Time frame: 36 months]
  • Cancer stem cell-based chemosensitivity assay [Time frame: 36 months]

Eligibility criteria

Inclusion criteria

To be enrolled in the study patients must:

  • Have a radiological diagnosis of supratentorial glioblastoma, or
  • 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;
  • Be a candidate to neurosurgery for glioblastoma at the Operational Unit of Neurosurgery Fondazione Policlinico Gemelli IRCCS;
  • Be of an age of 18 years or above;
  • Provide written informed consent for participation to the study.

Exclusion criteria

To be enrolled in the study patients must not:

  • 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;
  • Have not a definitive pathological diagnosis of a primary supratentorial glioblastoma, according with 2021 World Health Organization classification.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Allocation
N/A
Model
Single group
Masking
Open label
Primary purpose
Basic science

Study locations

Italy · 1 center
  • Fondazione Policlinico Universitario A. Gemelli IRCCS — Rome

Identifiers

NCT: NCT05941234 · 5755

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗