Noncoding regions are the main source of targetable tumor-specific antigens

Céline M Laumont1,2, Krystel Vincent1,2, Leslie Hesnard1,2

  • 1Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada.

Insights

Researchers developed a new proteogenomic method to discover tumor-specific antigens (TSAs) for cancer immunotherapy. This approach identified 40 novel TSAs, mostly from noncoding regions, offering new targets for effective cancer treatments.

Area of Science:

  • Oncology
  • Immunology
  • Genomics
  • Proteomics

Background:

  • Tumor-specific antigens (TSAs) are crucial for effective cancer immunotherapy.
  • The identification of novel TSAs has been limited, hindering therapeutic development.
  • Existing methods primarily focus on coding regions, potentially missing many TSA candidates.

Purpose of the Study:

  • To develop and validate a high-throughput proteogenomic approach for discovering TSAs from all genomic regions.
  • To identify novel TSAs in murine cancer cell lines and human primary tumors.
  • To establish criteria for prioritizing identified TSAs for clinical application.

Main Methods:

  • A proteogenomic strategy was employed for high-throughput TSA discovery.
  • Analysis was performed on two murine cancer cell lines and seven human primary tumors.
  • Antitumor immune responses in mice were assessed following TSA vaccination.

Main Results:

  • A total of 40 TSAs were identified across the tested samples.
  • Approximately 90% of the identified TSAs originated from noncoding genomic regions.
  • Most TSAs were derived from aberrantly expressed, nonmutated transcripts, including endogenous retroelements.
  • TSA expression levels and pre-existing T-cell frequencies influenced antitumor responses in mice.

Conclusions:

  • The developed proteogenomic approach significantly expands the discovery of potential cancer immunotherapy targets.
  • Novel TSAs, particularly those from noncoding regions and shared across tumor types, offer promising avenues for treatment.
  • TSA expression and T-cell repertoire analysis can guide the prioritization of TSAs for clinical translation.

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