NCT06102837

Brief Summary

Glioma is the most common primary malignant intracranial tumor, characterized by limited clinical treatment options and extremely poor prognosis. There is an urgent need for the development of new technologies and clinical practice. With the advancement of immunotherapy, tumor therapeutic vaccines have emerged as a hot topic in the field of solid tumor immunotherapy. Several clinical trials have confirmed that tumor vaccines can improve the prognosis of glioma patients. Vaccines are the first systemic treatment technology in nearly 30 years that can simultaneously extend the overall survival of patients with newly diagnosed glioblastoma and recurrent glioblastoma in Phase III clinical trials. This novel approach holds significant clinical value and brings hope to large number of patients. Our team has previously developed a dendritic cell (DC) vaccine for glioma, and the phase II clinical trial has demonstrated that it can extend the prognosis of glioma patients. However, several patients benefit less from vaccine therapy. Therefore, the identification of molecular mechanisms that render patients unresponsive to vaccine treatment is critical to improving vaccine efficacy. This project aims to collect various types of clinical samples from patients, including glioma patients receiving tumor vaccine treatment, glioma patients receiving conventional clinical treatment without tumor vaccine, and non-tumor patients (hemorrhagic stroke, ischemic stroke, and traumatic brain injury). High-throughput sequencing techniques will be used to establish an immune microenvironment database, followed by bioinformatics analysis and molecular biology experiments to uncover the molecular mechanisms influencing vaccine efficacy. Artificial intelligence and deep learning technologies will be employed to extract molecular mechanisms related information from radiology images and pathology images. Ultimately, the project seeks to establish an integrated diagnostic and treatment model that combines imaging, pathology, and omics data to advance the clinical application of vaccines.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
340

participants targeted

Target at P75+ for all trials

Timeline
17mo left

Started Oct 2023

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress65%
Oct 2023Oct 2027

Study Start

First participant enrolled

October 1, 2023

Completed
21 days until next milestone

First Submitted

Initial submission to the registry

October 22, 2023

Completed
4 days until next milestone

First Posted

Study publicly available on registry

October 26, 2023

Completed
3.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2027

Last Updated

October 26, 2023

Status Verified

October 1, 2023

Enrollment Period

4 years

First QC Date

October 22, 2023

Last Update Submit

October 22, 2023

Conditions

Keywords

GliomaDC vaccineDatabaseBiomarkerArtificial intelligence

Outcome Measures

Primary Outcomes (6)

  • Transcriptomics

    The issues collected will be used for transcriptome sequencing to measure gene expression level.

    48 months

  • Immunomics

    The issues collected will be used for TCR/BCR sequencing to measure clonality of lymphocytes

    48 months

  • Proteomics

    The issues collected will be used for proteomic sequencing to measure gene expression level in protein

    48 months

  • Genomics

    The issues collected will be used for whole genome sequencing or whole exome sequencing to measure gene mutations.

    48 months

  • Radiomics

    The features from images will be extracted using algorithm of Deep-learning or Radiomics

    48 months

  • IHC analysis

    Different expression level of proteins (CD3,CD8,B7-H4 et.al) in Gliomas with different grades and molecular subgroups will be measured using immunohistochemical.

    48 months

Study Arms (3)

glioma patients receiving tumor vaccine

Biological: tumor vaccineRadiation: RadiotherapyDrug: ChemotherapyProcedure: Surgery

glioma patients receiving conventional treatment

Radiation: RadiotherapyDrug: ChemotherapyProcedure: Surgery

non-tumor patients

Procedure: Surgery

Interventions

tumor vaccineBIOLOGICAL

tumor vaccine produced by our team

glioma patients receiving tumor vaccine
RadiotherapyRADIATION

conventional treatment in clincial

glioma patients receiving conventional treatmentglioma patients receiving tumor vaccine

conventional treatment in clinical

glioma patients receiving conventional treatmentglioma patients receiving tumor vaccine
SurgeryPROCEDURE

conventional treatment in clinical

glioma patients receiving conventional treatmentglioma patients receiving tumor vaccinenon-tumor patients

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients undergoing surgery at Huashan Hospital

You may qualify if:

  • The patients with glioma patients/non-tumor patients (hemorrhagic stroke, ischemic stroke, and traumatic brain injury) in the Department of Neurosurgery of Huashan Hospital Affiliated to Fudan University who meet the following three conditions can be enrolled:
  • They were no age limit, male and female;
  • The pathological results of frozen section during operation were gliomas or non-tumor;
  • Tissue (6 mm \* 6 mm) can be used for cell sorting on the basis of not affecting clinical routine diagnosis;
  • Sign informed consent.

You may not qualify if:

  • Patients who meet any of the following criteria will not be included in this study:
  • Participants in other clinical trials;
  • Pregnant women.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Huashan Hospital, Fudan University

Shanghai, Shanghai Municipality, 200040, China

RECRUITING

MeSH Terms

Conditions

Glioma

Interventions

Cancer VaccinesRadiotherapyDrug TherapySurgical Procedures, Operative

Condition Hierarchy (Ancestors)

Neoplasms, NeuroepithelialNeuroectodermal TumorsNeoplasms, Germ Cell and EmbryonalNeoplasms by Histologic TypeNeoplasmsNeoplasms, Glandular and EpithelialNeoplasms, Nerve Tissue

Intervention Hierarchy (Ancestors)

VaccinesBiological ProductsComplex MixturesTherapeutics

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
OTHER
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

October 22, 2023

First Posted

October 26, 2023

Study Start

October 1, 2023

Primary Completion (Estimated)

October 1, 2027

Study Completion (Estimated)

October 1, 2027

Last Updated

October 26, 2023

Record last verified: 2023-10

Locations