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Gene expression data of glioblastoma patients from GAPVAC trial (Glioma Actively Personalized Vaccine Consortium). Gene expression data of glioblastoma patients from GAPVAC trial (Glioma Actively Personalized Vaccine Consortium)

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NIAID Data Ecosystem2026-03-10 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA505415
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Patients with glioblastoma (GB) so far do not sufficiently benefit from recent breakthroughs with checkpoint inhibitors (CPI), for which high mutational load and responses to neo-epitopes are regarded essential. GB tumours show limited intra-tumoral immune cell infiltration and carry 30-50 non-synonymous mutations only. Exploitation of the full repertoire of tumour antigens - non-mutated and neo-epitopes – may offer more effective immunotherapies, especially for tumours with low mutational load. In the first-in-human trial GAPVAC-101, the Glioma Actively Personalized Vaccine Consortium (GAPVAC) integrated both tracks highly individualized into standard treatment to optimally exploit the limited target space for patients with newly diagnosed GB. Fifteen HLA-A*02:01+ or -A*24:02+ patients were treated with a warehouse-based vaccine (APVAC1) targeting non-mutated antigens followed by APVAC2, targeting preferentially neo-epitopes. Personalization was based on mutations, transcriptome, and immunopeptidome of the individual tumours. The GAPVAC approach was feasible and vaccinations adjuvanted by poly-ICLC and GM-CSF displayed favourable safety and excellent immunogenicity: Non-mutated APVAC1 antigens induced sustained central memory CD8+ T-cell responses. APVAC2 induced predominantly TH1 CD4+ T-cell responses against predicted neo-epitopes. www.GAPVAC.eu Overall design: mRNA of 16 patients were analyzed and normalized against a normal kidney sample used as reference contributor: GAPVAC (Glioma Actively Personalized Vaccine Consortium)
创建时间:
2018-11-14
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