Antitumor efficacy of MUC1-derived variable epitope library treatments in a mouse model of breast cancer
| Autor: | Josué Odales, Rodolfo Servín-Blanco, Fernando Martínez-Cortés, Jesus Guzman Valle, Allan Noé Domínguez-Romero, Goar Gevorkian, Karen Manoutcharian |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
General Veterinary
General Immunology and Microbiology Mucin-1 Public Health Environmental and Occupational Health Epitopes T-Lymphocyte Breast Neoplasms CD8-Positive T-Lymphocytes Protein Sorting Signals Cancer Vaccines Disease Models Animal Mice Infectious Diseases Molecular Medicine Animals Humans Female |
| Zdroj: | Vaccine. 40(33) |
| ISSN: | 1873-2518 |
| Popis: | The identification of novel targets for cancer immunotherapy and the development of new vaccine immunogens are subjects of permanent interest. MUC1 is an overexpressed antigen found in most tumors, and its overexpression correlates with poor prognosis. Many attempts to direct the immune response against MUC1 in tumor cells have failed, including several clinical trials. We have previously developed an innovative Variable Epitope Library (VEL) vaccine platform that carries massively substituted mutant variants of defined epitopes or epitope regions as an alternative to using wild-type peptide sequences-based immunogens. Here, two murine MUC1-derived epitopes equivalent to the previously tested in cancer immunotherapy human MUC1 regions were used to generate VELs. We observed that vaccination with the 23L VEL immunogens, encompassing the entire signal peptide region of MUC1, reduces the tumor area compared to the wild-type sequence treatment. Contrastingly, vaccination with the MUC1 signal peptide-derived predicted CD8 |
| Databáze: | OpenAIRE |
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