Comprehensive transcriptomic and cellular profiling of asbestos induced mesothelioma from Collaborative cross-MexTAg mice

Kiarash Behrouzfar

Research output: ThesisDoctoral Thesis

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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.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Mutsaers, Steve, Supervisor
  • Fisher, Scott, Supervisor
  • Lake, Richard, Supervisor
Thesis sponsors
Award date22 Sept 2023
DOIs
Publication statusUnpublished - 2023

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