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The T cell receptor landscape of childhood brain tumors

  • Itay Raphael
  • , Zujian Xiong
  • , Chaim T. Sneiderman
  • , Rebecca A. Raphael
  • , Moshe Mash
  • , Lance Schwegman
  • , Sydney A. Jackson
  • , Casey O’Brien
  • , Kevin J. Anderson
  • , Reid Ann E. Sever
  • , Liam D. Hendrikse
  • , Sarah R. Vincze
  • , Aaron Diaz
  • , James Felker
  • , Javad Nazarian
  • , Yael Nechemia-Arbely
  • , Baoli Hu
  • , Udai S. Kammula
  • , Sameer Agnihotri
  • , Jeremy N. Rich
  • Alberto Broniscer, Jan Drappatz, Taylor J. Abel, Shikhar Uttam, Eugene I. Hwang, Thomas M. Pearce, Michael D. Taylor, Michal Nisnboym, Thomas G. Forsthuber, Ian F. Pollack, Maria Chikina, Dhivyaa Rajasundaram, Gary Kohanbash

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The diverse T cell receptor (TCR) repertoire confers the ability to recognize an almost unlimited array of antigens. Characterization of antigen specificity of tumor-infiltrating lymphocytes (TILs) is key for understanding antitumor immunity and for guiding the development of effective immunotherapies. Here, we report a large-scale comprehensive examination of the TCR landscape of TILs across the spectrum of pediatric brain tumors, the leading cause of cancer-related mortality in children. We show that a T cell clonality index can inform patient prognosis, where more clonality is associated with more favorable outcomes. Moreover, TCR similarity groups’ assessment revealed patient clusters with defined human leukocyte antigen associations. Computational analysis of these clusters identified putative tumor antigens and peptides as targets for antitumor T cell immunity, which were functionally validated by T cell stimulation assays in vitro. Together, this study presents a framework for tumor antigen prediction based on in situ and in silico TIL TCR analyses. We propose that TCR-based investigations should inform tumor classification and precision immunotherapy development.

Original languageEnglish
Article numbereadp0675
JournalScience Translational Medicine
Volume17
Issue number790
DOIs
StatePublished - 19 Mar 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • General Medicine

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