ArticleMolecular & cellular proteomics : MCP2019
Identification of Tumor Antigens Among the HLA Peptidomes of Glioblastoma Tumors and Plasma.
Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Inferring translational efficiency from transcriptomes improves noncanonical neoantigen prioritization and cancer patient stratification.NPJ precision oncology · 2026Article
- Dysregulated expression of the tumor suppressor p14ARF in cancer provides an effective target for TCR-T cell therapeutics.Journal for immunotherapy of cancer · 2026Article
- Community benchmarking and evaluation of human unannotated microprotein detection by mass spectrometry based proteomics.Nature communications · 2026Article
- HLA class I-naturally presented synovial tissue peptides are recognized by CD8+ T lymphocytes from rheumatoid arthritis patients.Frontiers in immunology · 2026Article
- C/EBPβ-induced alternative splicing of RCAN1 generates a potent TCR-T target in mesenchymal glioblastoma.Cellular & molecular immunology · 2026Article
- Autologous profiling reveals inter-patient heterogeneity in Vδ2Journal for immunotherapy of cancer · 2025Article
- Mimicry in the Bite: Shared Sequences BetweenProteomes · 2025Article
- Recent developments in peptide vaccines against Glioblastoma, a review and update.Molecular brain · 2025Review
- SAPrIm 2.0: a semi-automated protocol for mid-throughput soluble HLA immunopeptidomics.Frontiers in immunology · 2025Article
- NetMHCpan-4.2: improved prediction of CD8+ epitopes by use of transfer learning and structural features.Frontiers in immunology · 2025Article
- Exosomes as drug delivery systems in glioma immunotherapy.Journal of nanobiotechnology · 2024Review
- Glioblastoma vaccines: past, present, and opportunities.EBioMedicine · 2024Review
- The SysteMHC Atlas v2.0, an updated resource for mass spectrometry-based immunopeptidomics.Nucleic acids research · 2024Article
- Peptidomics Strategies to Evaluate Cancer Diagnosis, Prognosis, and Treatment.Methods in molecular biology (Clifton, N.J.) · 2024Review
- SILAC-based quantification reveals modulation of the immunopeptidome in BRAF and MEK inhibitor sensitive and resistant melanoma cells.Frontiers in immunology · 2024Article
- A T-cell antigen atlas for meningioma: novel options for immunotherapy.Acta neuropathologica · 2023Article
- Recent advances and future challenges of tumor vaccination therapy for recurrent glioblastoma.Cell communication and signaling : CCS · 2023Review
- Article
- Article
- Improving MHC class I antigen-processing predictions using representation learning and cleavage site-specific kernels.Cell reports methods · 2022Article
Corrections and comments
- RetractedandRepublishedFrom
Authors and funding
37 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma multiforme (GBM) is the most aggressive brain tumor with poor prognosis to most patients. Immunotherapy of GBM is a potentially beneficial treatment option, whose optimal implementation may depend on familiarity with tumor specific antigens, presented as HLA peptides by the GBM cells. Further, early detection of GBM, such as by a routine blood test, may improve survival, even with the current treatment modalities. This study includes large-scale analyses of the HLA peptidome (immunopeptidome) of the plasma-soluble HLA molecules (sHLA) of 142 plasma samples, and the membranal HLA of GBM tumors of 10 of these patients' tumor samples. Tumor samples were fresh-frozen immediately after surgery and the plasma samples were collected before, and at multiple visits after surgery. In total, this HLA peptidome analysis involved 52 different HLA allotypes and resulted in the identification of more than 35,000 different HLA peptides. Strong correlations were observed in the signal intensities and in the repertoires of identified peptides between the tumors and plasma-soluble HLA peptidomes of the individual patients, whereas low correlations were observed between these HLA peptidomes and the tumors' proteomes. HLA peptides derived from Cancer/Testis Antigens (CTAs) were selected based on their presence among the HLA peptidomes of the patients and absence of expression of their source genes from any healthy and essential human tissues, except from immune-privileged sites. Additionally, peptides were selected as potential biomarkers if their levels in the plasma-sHLA peptidome were significantly reduced after the removal of tumor mass. The CTAs identified among the analyzed HLA peptidomes provide new opportunities for personalized immunotherapy and for early diagnosis of GBM.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.