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Biology subjects

Antonopoulou, E.

Publications and source records attributed to Antonopoulou, E..

2 recordsLinked to original sources

WSB-1 regulates DNA repair and the response to DNA damage response inhibitors in breast cancer

Tumour hypoxia is a poor prognostic factor and linked with metastatic spread and treatment resistance in most solid tumours, including breast cancer. We previously showed hypoxia-regulated E3 ligase WSB-1s association with poor prognosis in breast cancer. Here, we evaluated the role of WSB-1 in DNA repair regulation in breast cancer, and whether these phenotypes can be exploited therapeutically. WSB-1 knockdown led to transcriptome-wide DNA repair factor upregulation, including homologous recombination (HR) factors BRCA1and RAD51. Reciprocally, WSB-1 overexpression led to downregulation of these repair factors and decreased DNA repair capacity. Patient gene expression datasets analyses also showed an inverse correlation between WSB1 expression vs DNA repair and HR pathways. HR-deficient cancers, including BRCA1/2-deficient breast cancers, are extremely sensitive to PARP inhibitors, a phenotype described as BRCAness. We therefore hypothesised if high WSB-1 expression could be similarly exploited therapeutically. WSB-1 overexpression alone radiosensitised cells and led to increased Olaparib (PARP inhibitor) and Berzosertib (ATR inhibitor) sensitivity in vitro. Our study indicates that WSB-1 expression in breast cancer is associated with modulation of HR factor expression, and we propose that elevated WSB-1 expression could be considered as a potential BRCAness biomarker and promote increased sensitivity to DNA repair targeted therapy in these patients.

cancer biology↗

Utilising an in silico model to predict outcomes in senescence-driven acute liver injury

Currently liver transplantation is the only treatment option for liver disease, but organ availability cannot meet demand and transplant recipients require lifelong immunosuppression. The identification of alternative treatments, e.g. cell therapies, able to tip resolution of injury from inflammation to regeneration requires an understanding of the host response to the degree of injury. We adopt a combined in vivo-in silico approach and develop a mathematical model of acute liver disease able to predict the host response to injury. We utilise the Mdm2fl/fl mouse model together with a single Cre induction through intravenous injection of the hepatotropic Adeno-associated Virus Serotype 8 Cre (AAV8.Cre) to model acute liver injury. We derive a complementary ordinary differential equation model to capture the dynamics of the key cell players in the injury response together with the extracellular matrix. We show that the mathematical model is able to predict the host response to moderate injury via qualitative comparison of the model predictions with the experimental data. We then use the model to predict the host response to mild and severe injury, and test these predictions in vivo, obtaining good qualitative agreement.

cell biology↗