Immunopeptidomics-based identification of naturally presented non-canonical circRNA-derived peptides

Humberto J Ferreira1,2,3, Brian J Stevenson1,3,4, HuiSong Pak1,2,3

  • 1Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.

Nature Communications
|March 16, 2024
PubMed

Insights

This study introduces a new method to find tumor-specific antigens from circular RNAs (circRNAs). These novel antigens could potentially boost anti-tumor T cell responses in cancer immunotherapy.

Area of Science:

  • Immunology
  • Genomics
  • Cancer Research

Background:

  • Circular RNAs (circRNAs) are non-coding RNAs with a unique structure.
  • Some circRNAs can be translated into proteins, suggesting potential roles in disease.
  • Aberrantly expressed circRNAs in cancer may represent novel sources of tumor-specific antigens.

Purpose of the Study:

  • To develop and validate an immunopeptidomics workflow for identifying circRNA-derived peptides.
  • To create a circRNA-specific protein reference database for enhanced analysis.
  • To explore circRNAs as a source of tumor antigens for cancer immunotherapy.

Main Methods:

  • Development of an immunopeptidomics workflow.
  • Generation of a circRNA-specific protein FASTA reference.
  • Application of stringent criteria including dual mass spectrometry engine identification and group-specific FDR.
  • Validation of back-splice junction (BSJ)-spanning peptides using targeted MS and Sanger sequencing.

Main Results:

  • Identification of 54 unique BSJ-spanning circRNA-derived peptides.
  • Detection of these peptides in melanoma and lung cancer immunopeptidomes.
  • Demonstration of a streamlined workflow for circRNA peptide identification.

Conclusions:

  • The developed workflow effectively identifies circRNA-derived peptides.
  • CircRNAs represent a promising, yet largely unexplored, source of tumor antigens.
  • This work expands the repertoire of potential targets for cancer immunotherapy.