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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
Published on: March 25, 2014
Mutant MHC class II epitopes drive therapeutic immune responses to cancer
Sebastian Kreiter1, Mathias Vormehr2, Niels van de Roemer2
1TRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131 Mainz, Germany.
Abstract:
Tumour-specific mutations are ideal targets for cancer immunotherapy as they lack expression in healthy tissues and can potentially be recognized as neo-antigens by the mature T-cell repertoire. Their systematic targeting by vaccine approaches, however, has been hampered by the fact that every patient's tumour possesses a unique set of mutations ('the mutanome') that must first be identified. Recently, we proposed a personalized immunotherapy approach to target the full spectrum of a patient's individual tumour-specific mutations. Here we show in three independent murine tumour models that a considerable fraction of non-synonymous cancer mutations is immunogenic and that, unexpectedly, the majority of the immunogenic mutanome is recognized by CD4(+) T cells. Vaccination with such CD4(+) immunogenic mutations confers strong antitumour activity. Encouraged by these findings, we established a process by which mutations identified by exome sequencing could be selected as vaccine targets solely through bioinformatic prioritization on the basis of their expression levels and major histocompatibility complex (MHC) class II-binding capacity for rapid production as synthetic poly-neo-epitope messenger RNA vaccines. We show that vaccination with such polytope mRNA vaccines induces potent tumour control and complete rejection of established aggressively growing tumours in mice. Moreover, we demonstrate that CD4(+) T cell neo-epitope vaccination reshapes the tumour microenvironment and induces cytotoxic T lymphocyte responses against an independent immunodominant antigen in mice, indicating orchestration of antigen spread. Finally, we demonstrate an abundance of mutations predicted to bind to MHC class II in human cancers as well by employing the same predictive algorithm on corresponding human cancer types. Thus, the tailored immunotherapy approach introduced here may be regarded as a universally applicable blueprint for comprehensive exploitation of the substantial neo-epitope target repertoire of cancers, enabling the effective targeting of every patient's tumour with vaccines produced 'just in time'.
Insights
Personalized cancer vaccines targeting tumor-specific mutations, particularly those recognized by CD4(+) T cells, show strong anti-tumor activity. This approach, utilizing bioinformatic selection and mRNA technology, offers a universal strategy for effective, individualized cancer immunotherapy.
Area of Science:
- Immunology
- Oncology
- Bioinformatics
Background:
- Tumor-specific mutations offer ideal targets for cancer immunotherapy as neo-antigens.
- Personalized approaches are needed due to the unique mutanome of each patient's tumor.
- Identifying and targeting these mutations effectively has been a challenge.
Purpose of the Study:
- To investigate the immunogenicity of non-synonymous cancer mutations in murine models.
- To evaluate the anti-tumor efficacy of vaccination strategies targeting these mutations, particularly CD4(+) T cell epitopes.
- To develop a bioinformatic pipeline for selecting and producing personalized mRNA vaccines against tumor neo-antigens.
Main Methods:
- Utilized three independent murine tumor models to assess mutation immunogenicity.
- Vaccinated mice with CD4(+) immunogenic mutations and poly-neo-epitope mRNA vaccines.
- Employed exome sequencing, bioinformatic prioritization (expression levels, MHC class II binding), and synthetic mRNA vaccine production.
- Analyzed tumor microenvironment changes and antigen spread using predictive algorithms on human cancer data.
Main Results:
- A significant fraction of non-synonymous cancer mutations were found to be immunogenic in mice.
- The majority of immunogenic mutations were recognized by CD4(+) T cells, which conferred strong anti-tumor activity.
- Poly-neo-epitope mRNA vaccines induced potent tumor control and rejection of established tumors.
- CD4(+) T cell neo-epitope vaccination reshaped the tumor microenvironment and orchestrated antigen spread.
- Human cancers were predicted to have an abundance of mutations binding to MHC class II.
Conclusions:
- Personalized immunotherapy targeting the mutanome, especially CD4(+) epitopes, is a viable and effective anti-cancer strategy.
- Bioinformatic selection and mRNA vaccine technology enable rapid, tailored production of cancer vaccines.
- This approach represents a universally applicable blueprint for individualized cancer immunotherapy, enabling 'just-in-time' vaccine production.
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