Evidence map›Paper›PMID 41643293›Full record

ArticleNeoplasia (New York, N.Y.)2026

Identification of molecularly targeted therapy-induced immunopeptidome in diffuse midline glioma (DMG).

Niloofar Khairkhah, Habeebah Owolabi, Ali Namvar, Mostafa M H Ibrahim, Seeta Nyayapathy, Richard Jones, Julie M Rumble, Christopher E Whitehead, Judith S Sebolt-Leopold, Arun Everest-Dass and 1 more

Abstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Niloofar KhairkhahDepartment of Radiology, The University of Michigan Medical School, Ann Arbor, MI 48109, United States.
Habeebah OwolabiInstitute for Biomedicine and Glycomics, Griffith University, Parklands Drive, Gold Coast, Queensland, 4222, Australia.
Ali NamvarDepartment of Radiology, The University of Michigan Medical School, Ann Arbor, MI 48109, United States.
Mostafa M H IbrahimDepartment of Radiology, The University of Michigan Medical School, Ann Arbor, MI 48109, United States.
Seeta NyayapathyImmunology Services, Cayman Chemical, Ann Arbor, MI 48108, United States.
Richard JonesMS Bioworks, Ann Arbor, MI 48108, United States.
Julie M RumbleImmunology Services, Cayman Chemical, Ann Arbor, MI 48108, United States.
Christopher E WhiteheadDepartment of Radiology, The University of Michigan Medical School, Ann Arbor, MI 48109, United States; MEKanistic Therapeutics, Inc., Ann Arbor, MI, United States.
Judith S Sebolt-LeopoldDepartment of Radiology, The University of Michigan Medical School, Ann Arbor, MI 48109, United States; MEKanistic Therapeutics, Inc., Ann Arbor, MI, United States.
Arun Everest-DassInstitute for Biomedicine and Glycomics, Griffith University, Parklands Drive, Gold Coast, Queensland, 4222, Australia.
Stefanie GalbanDepartment of Radiology, The University of Michigan Medical School, Ann Arbor, MI 48109, United States; Department of Surgery, The University of Michigan Medical School, Ann Arbor, MI 48109, United States; Center for Molecular Imaging, The University of Michigan Medical School, Ann Arbor, MI 48109, United States; Rogel Cancer Center, The University of Michigan Medical School, Ann Arbor, MI 48109, United States. Electronic address: sgalban@umich.edu.

Funding

ChadTough Defeat DIPG FoundationNIH 1R01NS13151501
6 · The paper itself

Abstract

introductionDiffuse midline glioma (DMG) with the H3K27M mutation remains one of the most treatment-resistant pediatric brain tumors, in part due to limited antigen presentation and immune visibility. Exploring how glioma biology and therapeutic interventions influence immune recognition offers new opportunities to identify tumor-specific immune targets. MATERIALS AND

methodsWe performed immunopeptidomics on human cell line derived tumor tissue for DMG and glioblastoma (GBM) and defined how MTX-241F, a selective EGFR/PI3K inhibitor, changes the tumor immunopeptidome. Immunopeptides were isolated from xenografted tumors by capturing MHC-I bound peptides followed by mass spectrometry. Comparative analyses were performed across tumor type (DMG vs. GBM) and treatment condition (vehicle vs. MTX-241F).

resultsImmunopeptidomic profiling revealed tumor-specific differences in peptide repertoires between DMG and GBM. GBM tumors exhibited twice as many immunopeptides as DMG, which may be due to the distinct biology of each tumor type or may be indicative of potential HLA allotype composition. We identified highly abundant H2B1K-derived immunopeptides in DMG, suggesting that the H3K27M-driven epitranscriptome may promote turnover of other histones. MTX-241F increased the number of immunopeptides in DMG but reduced them in GBM, indicating a tumor-specific change in the immunopeptidome following EGFR/PI3K inhibition. In addition, we identified brain-enriched, HLA-A*02:01-binding and MTX-241F-exclusive immunopeptides that represent treatment-induced changes and may serve as biomarkers of therapeutic response or potential targets for CAR-T cell-based approaches. DISCUSSION: MTX-241F changes the glioma immunopeptidome, unveiling H2B1K, brain-enriched, and treatment-induced immunopeptides as immunologically visible targets. These findings provide a rationale for integrating molecularly targeted therapy with immunotherapeutic approaches to enhance tumor recognition and treatment efficacy in DMG and GBM.

Indexed as

Brain NeoplasmsGliomaMolecular Targeted TherapyPeptidesAnimalsCell Line, TumorErbB ReceptorsHumansMiceProteomicsXenograft Model Antitumor AssaysErbB ReceptorsPeptidesDMGEpigenetic remodelingGBMImmunopeptidomicsMass spectrometry

Identifiers

PMID41643293
PMCPMC12918168

What OpenQuestion holds

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Registered trials

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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.