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Updated: Feb 1, 2026

Analyzing Tumor and Tissue Distribution of Target Antigen Specific Therapeutic Antibody
Published on: May 16, 2020
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.
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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