Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 07

37P - Breast cancer immunopeptidomes reveal a large number of targetable tumor antigens

Date

10 Sep 2022

Session

Poster session 07

Topics

Cancer Biology;  Tumour Immunology;  Translational Research

Tumour Site

Breast Cancer

Presenters

Eralda Kina

Citation

Annals of Oncology (2022) 33 (suppl_7): S4-S18. 10.1016/annonc/annonc1035

Authors

E. Kina1, J. Laverdure2, C. Durette3, J. Lanoix3, Q. Zhao4, A. Apavaloaei4, L. Hesnard4, M. Ruiz Cuevas4, J. Larouche4, M. Hardy4, K. Vincent4, M. Courcelles3, P. Thibault3, C. Perreault1

Author affiliations

  • 1 Medicine, IRIC - Institute for Research in Immunology and Cancer - Université de Montréal, H3T1J4 - Montreal/CA
  • 2 Bioinformatics, IRIC - Institute for Research in Immunology and Cancer - Université de Montréal, H3T 1J4 - Montreal/CA
  • 3 Chemistry, IRIC - Institute for Research in Immunology and Cancer - Université de Montréal, H3T 1J4 - Montreal/CA
  • 4 Medicine, IRIC - Institute for Research in Immunology and Cancer - Université de Montréal, H3T 1J4 - Montreal/CA

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 37P

Background

Hormone-receptor-positive breast cancer (HR+) is considered an immunologically cold cancer and has not benefited from recent advances in immunotherapy. In contrast, the triple negative breast cancer (TNBC)-subtype has demonstrated its immunogenicity through high levels of leucocytic infiltration and clinical benefits to immune checkpoint blockade. As T cells recognize antigens presented by MHC-I molecules (MAPs), we aimed to characterize the repertoire of MAPs presented in both subtypes and identify actionable targets for immunotherapy.

Methods

In 26 primary breast cancer samples (14 HR+, 12 TNBC), MAPs were identified based on a previously described proteogenomic approach (Laumont et al 2018). Essentially, MHC-I molecules are immunoprecipitated in individual tumor samples and their bound peptides are identified with mass spectrometry. The identification relies on personalized databases constructed with RNA and miRNA sequencing for each sample.

Results

We identified a total of 57 094 unique MAPs in our primary breast cancer samples. Source genes represented at the immunopeptidomic level from both canonical and non-canonical genomic origins had a very high overlap between both subtypes (>70%). We identified 25 tumor-specific antigens (TSAs; 1 mTSA and 24 aberrantly expressed TSAs), mainly originating from exonic regions of the MAGE gene family. More than 70% of our TSAs were identified from TNBC samples. In the TCGA cohort, a higher proportion of TNBC tumors express TSAs’ coding transcripts compared to HR+ tumors. Moreover, higher levels of predicted TSAs were associated to both leucocytic infiltration gene markers and higher overall survival in the TNBC cohort of TCGA, suggesting their in vivo immunogenicity. We also identified 49 tumor-associated antigens (TAAs) originating exclusively from exonic regions, including a subset deriving from cancer-associated fibroblasts.

Conclusions

Targetable antigens were identified in both subtypes of breast cancer and represent relevant new targets for cancer immunotherapy.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

IRICoR.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.