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Cancer therapy-related cardiovascular toxicity (CTR-CVT) is now recognised as one of the leading causes of long-term morbidity and mortality in cancer patients. To date, potential overlapping cardiotoxicity mechanism(s) across different chemotherapeutic classes have not been elucidated. Doxorubicin, an anthracycline, and Carfilzomib, a proteasome inhibitor, are both known to cause heart failure in some patients. Given this common cardiotoxic effect of these chemotherapies, we aimed to investigate differential and common mechanism(s) associated with Doxorubicin and Carfilzomib-induced cardiac dysfunction. Primary human cardiomyocyte-like cells (HCM-ls) were treated with 1 µM of either Doxorubicin or Carfilzomib for 72 h. Both Doxorubicin and Carfilzomib induced a significant reduction in HCM cell viability and cell damage. DNA methylation analysis performed using MethylationEPIC array showed distinct and common changes induced by Doxorubicin and Carfilzomib (10,270 or approximately 12.9% of the DMPs for either treatment overlapped). RNA-seq analyses identified 5,643 differentially expressed genes (DEGs) that were commonly dysregulated for both treatments. Pathway analysis revealed that the PI3K-Akt signalling pathway was the most significantly enriched pathway with common DEGs, shared between Doxorubicin and Carfilzomib. We identified that there are shared cardiotoxicity mechanisms for Doxorubicin and Carfilzomib pathways that can be potential therapeutic targets for treatments across 2 classes of anti-cancer agents.

Corticosteroids are broadly active and potent anti‐inflammatory agents that, despite the introduction of biologics, remain as the mainstay therapy for many chronic inflammatory diseases, including inflammatory bowel diseases, nephrotic syndrome, rheumatoid arthritis, chronic obstructive pulmonary disease and asthma. Significantly, there are cohorts of these patients with poor sensitivity to steroid treatment even with high doses, which can lead to many iatrogenic side effects. The dose‐limiting toxicity of corticosteroids, and the lack of effective therapeutic alternatives, leads to substantial excess morbidity and healthcare expenditure. We have developed novel murine models of respiratory infection‐induced, severe, steroid‐resistant asthma that recapitulate the hallmark features of the human disease. These models can be used to elucidate novel disease mechanisms and identify new therapeutic targets in severe asthma. Hypothesis‐driven studies can elucidate the roles of specific factors and pathways. Alternatively, 'Omics approaches can be used to rapidly generate new targets. Similar approaches can be used in other diseases.