Neoantigen × AI
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New database maps drug-induced splicing to neoantigens

Two methodological advances address distinct gaps in neoantigen discovery: a new database mapping drug-induced splicing to immunogenic peptides, and a review clarifying T-cell biology in glioblastoma to inform vaccine design.PubMedPubMed

Both highlight the need for precise antigen identification beyond standard mutational burden metrics.

2new stories
AI / MethodstodayNew

Tumor infiltrating lymphocytes in glioblastoma: immunobiology and translational implications.

A review of glioblastoma immunobiology highlights a critical disconnect between murine models and human tumors: patient GBM is enriched for clonally expanded granzyme K+ T cells, whereas standard mouse models show exhausted T cells. This distinction suggests that current preclinical models may misrepresent the targetable neoantigen landscape. The authors argue that harnessing tumor-selective T cells via neoantigen vaccines or adoptive transfer requires a refined focus on these specific human TIL profiles.

europepmc · today · Hill CM, Nwagwu CD, Odukoya AO, Hsueh B, Wang AZ, Dunn GP.

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AI / Methods3 days agoNew

DRIVE: a comprehensive resource deciphering drug-induced transcriptomic and splicing response in cancer cell.

The DRIVE database addresses the lack of resources linking drug-induced transcriptomic changes to neoantigen potential by integrating 3,911 samples across 278 drugs and 272 cell lines. Using LLMs for metadata curation, it quantifies differential splicing events and predicts resulting HLA-binding peptides. This resource enables the systematic identification of immunogenic neoantigens derived from drug-induced aberrant splicing, offering a new avenue for vaccine target discovery in pharmacotherapy contexts.

europepmc · 3 days ago · Wu T, Tang HF, Wang WL.