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Published on: December 19, 2019
Strong spontaneous tumor neoantigen responses induced by a natural human carcinogen
Jenette Creaney1, Shaokang Ma2, Sophie A Sneddon2
1National Centre for Asbestos Related Diseases; School of Medicine and Pharmacology; University of Western Australia ; Nedlands, Australia ; Australian Mesothelioma Tumour Bank; Sir Charles Gairdner Hospital ; Nedlands, Australia.
Abstract:
A key to improving cancer immunotherapy will be the identification of tumor-specific "neoantigens" that arise from mutations and augment the resultant host immune response. In this study we identified single nucleotide variants (SNVs) by RNA sequencing of asbestos-induced murine mesothelioma cell lines AB1 and AB1-HA. Using the NetMHCpan 2.8 algorithm, the theoretical binding affinity of predicted peptides arising from high-confidence, exonic, non-synonymous SNVs was determined for the BALB/c strain. The immunoreactivity to 20 candidate mutation-carrying peptides of increased affinity and the corresponding wild-type peptides was determined using interferon-γ ELISPOT assays and lymphoid organs of non-manipulated tumor-bearing mice. A strong endogenous immune response was demonstrated to one of the candidate neoantigens, Uqcrc2; this response was detected in the draining lymph node and spleen. Antigen reactive cells were not detected in non-tumor bearing mice. The magnitude of the response to the Uqcrc2 neoantigen was similar to that of the strong influenza hemagglutinin antigen, a model tumor neoantigen. This work confirms that the approach of RNAseq plus peptide prediction and ELISPOT testing is sufficient to identify natural tumor neoantigens.
Insights
Researchers identified tumor-specific neoantigens using RNA sequencing and peptide prediction. A key neoantigen, Uqcrc2, elicited a strong immune response in mice, confirming this approach for cancer immunotherapy development.
Area of Science:
- Immunology
- Oncology
- Genomics
Background:
- Cancer immunotherapy relies on identifying tumor-specific neoantigens.
- Neoantigens arise from mutations and enhance the host immune response against tumors.
Purpose of the Study:
- To identify neoantigens in asbestos-induced murine mesothelioma.
- To validate the immunogenicity of predicted neoantigens using ELISPOT assays.
Main Methods:
- RNA sequencing (RNAseq) was used to identify single nucleotide variants (SNVs) in mesothelioma cell lines.
- NetMHCpan 2.8 predicted peptide binding affinity for SNVs.
- Interferon-gamma ELISPOT assays assessed immunoreactivity to candidate neoantigens in tumor-bearing mice.
Main Results:
- One neoantigen, Uqcrc2, demonstrated a strong endogenous immune response in draining lymph nodes and spleen.
- Antigen-reactive cells were specific to tumor-bearing mice.
- The Uqcrc2 neoantigen response magnitude was comparable to a model antigen (influenza hemagglutinin).
Conclusions:
- The combined approach of RNAseq, peptide prediction, and ELISPOT assays is effective for identifying natural tumor neoantigens.
- This study validates a method for discovering neoantigens crucial for advancing cancer immunotherapy.
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