Abstract
Neo-antigens offer promising therapeutic targets for immunotherapy of malignant pleural mesothelioma. The identification and targeting of neo-antigens was explored using pre-clinical models. Neo-antigen candidates from murine mesothelioma and lung cancer cell lines were predicted using a genomics-based bioinformatics approach. Between 14-317 cell line specific neoantigens were predicted across four cell lines. Up to 70% of tested candidates were found to be immunogenic but only one, UQCRC2, elicited an endogenous immune response. An additional neo-antigen, UNC45A, was 'unmasked' during effective immune checkpoint blockade (ICPB). The magnitude of pre-treatment responses to neo-antigen was correlated with therapeutic outcome.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Award date | 20 Oct 2019 |
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| Publication status | Unpublished - 2019 |
Access to Document
- THESIS - DOCTOR OF PHILOSOPHY - MA Shaokang - 2019
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