Research on Precise Immune Prevention and Treatment of Glioma Based on Multi-omics Sequencing Data
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Glioma
- Radiomics
- Transcriptomics
- Type
- Observational
- Design
- Observational Model: OtherTime Perspective: Other
Participation Requirements
- Age
- Between 18 years and 80 years
- Gender
- Both males and females
Description
Through high-throughput sequencing technologies such as? genome sequencing, transcriptome sequencing and single-cell sequencing, Proteomics?Metabonomics and Metagenomics? the similarities and differences of the glioma immune microenvironment within and between individuals were revealed from the mult...
Through high-throughput sequencing technologies such as? genome sequencing, transcriptome sequencing and single-cell sequencing, Proteomics?Metabonomics and Metagenomics? the similarities and differences of the glioma immune microenvironment within and between individuals were revealed from the multi-dimensional and big data level, and the immune molecular typing of glioma was established. Establish and verify that the neoantigen polypeptides predicted by AI algorithm after analyzing multi-omics data (genome, transcriptome, etc.) have good killing effect on individual tumor cells. To establish an intelligent evaluation model of glioma immunotyping by integrating imaging, pathology, high-throughput sequencing data and other omics information, and to provide a visual tool for monitoring changes in the intratumoral microenvironment of glioma patients, with the expectation of helping timely intervention of immunotherapy in patients with recurrence.
Tracking Information
- NCT #
- NCT04792437
- Collaborators
- Not Provided
- Investigators
- Not Provided