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MMR/MSI Phenotypes in Prediction of Tumor Vaccine Benefit for Gliomas

Recruiting
Conditions
Glioma
Interventions
Biological: DC vaccine
Registration Number
NCT06043232
Lead Sponsor
Huashan Hospital
Brief Summary

Glioblastoma (GBM) is the most malignant primary intracranial tumor with a median survival of about 18 months, and new therapies are urgently needed. Tumor vaccines has been shown to improve survival of GBM, but not all patients can benefit from vaccine treatment and biomarkers are urgently needed. Deletion of mismatch repair (MMR) protein and microsatellite instability (MSI) state are important features in the biological evolution of GBM, and may be used as markers for tumor vaccine. Therefore, this project will collect samples from GBM patients before and after vaccine treatment respectively, and evaluate the role of MMR/MSI gene phenotype in predicting vaccine efficacy and the potential molecular mechanism. Moreover, MMR/MSI phenotypes will be assessed by deep-learning and radiomics using images to establish noninvasive markers for vaccine.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
360
Inclusion Criteria

The patients with glioma in the Department of Neurosurgery of Huashan Hospital Affiliated to Fudan University who meet the following three conditions can be enrolled

  1. They were 18-80 years old, male and female;
  2. The pathological results of frozen section during operation were gliomas (20 cases of who grade II, II and IV, respectively);
  3. Tissue (6 mm * 6 mm) can be used for cell sorting on the basis of not affecting clinical routine diagnosis;
  4. Sign informed consent.
Exclusion Criteria

Patients who meet any of the following criteria will not be included in this study:

  1. Participants in other clinical trials;
  2. Pregnant women.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
glioma patients with DC vaccineDC vaccinesurgery and DC vaccine
Primary Outcome Measures
NameTimeMethod
Radiomics36 months

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

Transcriptomics36 months

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

Immunomics36 months

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

Genomics36 months

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

IHC analysis36 months

Different expression level of proteins (CD3,CD8,B7-H4, MMR proteins) in Gliomas with different grades and molecular subgroups (300 cases) will be measured using immunohistochemical.

Proteomics36 months

The issues collected will be used for TCR/BCR sequencing to measure gene expression level in protein

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Huashan Hospital,Fudan University

🇨🇳

Shanghai, China

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