Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification and prioritisation of tumour antigen candidates from 79 glioblastoma transcriptomes.

Cancer immunology, immunotherapy : CII - 21 Apr 2026

Kert Špela, Pižem Jože, Petrin Sara, Bošnjak Matic, Jerala Miha, Matjašič Alenka, Zupan Andrej

Abstract excerpt

Glioblastoma (GBM) is an aggressive brain tumour with limited responsiveness to current immunotherapeutic approaches, partly due to its low mutational burden and intra-tumour heterogeneity. A systematic understanding of the tumour antigen landscape is therefore essential for advancing tumour immunology and supporting rational development of immunotherapeutic strategies. In this study, we performed...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antigens, Neoplasm
Share to Biomarkers, Tumor

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Brain Neoplasms

Share to Gene Expression Profiling

Share to Glioblastoma

Share to Mutation

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 42012534
DOI: 10.1007/s00262-026-04390-3
PMCID: PMC13100171

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification and prioritisation of tumour antigen candidates from 79 glioblastoma transcriptomes.PMID 42012534Read ↗

Challenges in the discovery of tumor-specific alternative splicing-derived cell-surface antigens in gliomaSemantic proximity Read ↗

Challenges in the discovery of tumor-specific alternative splicing-derived cell-surface antigens in gliomaSemantic proximity Read ↗

Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy developmentSemantic proximity Read ↗

A Computational Pipeline for Glioblastoma Vaccine Development: Integrating Novel Omics-Driven OIP5 Target Discovery to Create a Deep Learning-Based Immunogenicity Framework for Personalized ImmunotherapySemantic proximity Read ↗

Computational Identification of Clonal Neoantigens in IDH-Wildtype Glioblastoma Through Integrated Genomic Filtering and HLA PredictionSemantic proximity Read ↗

Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine.Semantic proximity Read ↗

Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signatureSemantic proximity Read ↗

Identification of Tumor Antigens Among the HLA Peptidomes of Glioblastoma Tumors and Plasma.Semantic proximity Read ↗

Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signatureSemantic proximity Read ↗

Identification of Tumor Antigens and Immune Subtypes of Glioblastoma for mRNA Vaccine Development.Semantic proximity Read ↗

Tumor-wide RNA splicing aberrations generate immunogenic public neoantigensSemantic proximity Read ↗

A Deep Learning-Driven Framework Integrating Organoid-Based Functional Validation Identifies Universal Neoantigens from Recurrent Glioma Mutations.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.