Identification of immunodominant ERV peptides critical for anti-metastatic immunity in a model of TNBC
Year: 2026
Type: article
Abstract: The integration of immunotherapy into neoadjuvant treatment for triple-negative breast cancer (TNBC) has improved outcomes in some patients. Pre-clinical investigation of immunotherapy resistance in the aggressive 4T1 TNBC model has been hampered by a lack of known tumour-specific epitopes. Using proteomic and functional analyses, we show that metastatic 4T1 subclones downregulate antigen processing and presentation to evade adaptive immunity, a defect reversible by type I interferon (IFN) signaling. Immunopeptidomic profiling revealed that immune responses against metastatic 4T1 subclones largely target cryptic peptides derived from endogenous retroviral (ERV) products, particularly murine leukaemia virus (MLV). IFN treatment enhanced both the abundance and diversity of MLV-derived peptides in the 4T1 immunopeptidome. Moreover, MLV-specific T cell responses were critical for effective immune checkpoint blockade, suppression of tumour growth and prolonged metastasis-free survival. The identification of endogenous, immunodominant ERV epitopes in the widely used 4T1 TNBC model establishes a new platform for ERV-targeted immunotherapy development and provides a foundation for translating IFN and ERV-targeting strategies into future clinical trial design.
Source: Cancer Immunology Immunotherapy
Authors: Pouya Faridi, Damien Zanker, Nicole M. Haynes, Joshua Nickson, Alex Spurling, Fatma Panetta, Pauline Huang, Nakyoon Sung, Jung-Hee Kang, Riccardo Dolcetti, Harinda Rajapaksha, Bruce W. S. Robinson, Ian Dick, Alec Redwood, Jenette Creaney, Weisan Chen, Robin L. Anderson, Irina Caminschi, Anthony W. Purcell, Belinda S. Parker
Institutions: Hudson Institute of Medical Research, Monash University, The University of Melbourne, La Trobe University, Peter MacCallum Cancer Centre, Peter Doherty Institute, The University of Western Australia, Sir Charles Gairdner Hospital, Institute for Respiratory Health, Olivia Newton-John Cancer Research Institute
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,590
OpenAlex ID: W7213767942
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