Transcriptomics

Dataset Information

0

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


ABSTRACT: 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

ORGANISM(S): Homo sapiens

PROVIDER: GSE122498 | GEO | 2018/11/15

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| EGAS00001005226 | EGA
2021-12-03 | PXD028874 | Pride
2018-08-02 | GSE108413 | GEO
2018-11-13 | GSE99932 | GEO
2018-11-13 | GSE99931 | GEO
2018-11-13 | GSE99934 | GEO
2018-11-13 | GSE99930 | GEO
2018-11-13 | GSE99885 | GEO
2018-11-13 | GSE99945 | GEO
| PRJNA717185 | ENA