@phdthesis{d291a63c160e439e881a45e05760003a,
title = "Comprehensive transcriptomic and cellular profiling of asbestos induced mesothelioma from Collaborative cross-MexTAg mice",
abstract = "Mesothelioma is an asbestos related cancer with a poor prognosis. While immunotherapy could enhance overall survival in mesothelioma, durable treatment response was only restricted to a subset of patients. Therefore, identifying strategies that accurately predict treatment responses is urgent to improve therapeutic outcomes. Using an asbestos induced tumour biobank derived from CC-MexTAg mouse model, we performed comprehensive transcriptomic and cellular analyses to develop a 6-gene mesothelioma prognostic signature. This gene signature could accurately predict survival in multiple human mesothelioma datasets, demonstrating the value of using pre-clinical models to inform clinical outcomes.",
keywords = "Mesothelioma, preclinical mouse model, Gene expression profiling, Prognostic gene signature, Multiplex immunofluorescence, Cellular characterisation",
author = "Kiarash Behrouzfar",
year = "2023",
doi = "10.26182/r91n-6v52",
language = "English",
school = "The University of Western Australia",
}