AI finds distinct centrosome defects in breast tumours
CenSegNet, an AI platform developed at the University of Southampton, analysed more than 330,000 centrosomes in tumour tissue from 127 breast cancer patients and identified two distinct centrosome abnormalities: excess centrosome number and abnormally enlarged centrosomes. The defects occur independently and can occupy different tumour regions. Tumours with high levels of enlarged centrosomes were linked to greater aggressiveness and poorer survival, while lower levels correlated with better outcomes. The findings could enable new biomarkers and more personalised therapies, and researchers plan to combine CenSegNet with additional data to explore treatment guidance.
AI identified two independent centrosome defects linked to tumour aggressiveness
Context
Centrosome abnormalities have been seen as a cancer hallmark for more than a century.…
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