AI tool identifies high-risk subtype of endometrial cancer
The tool identified patients with high-risk disease, which normally goes unrecognised by traditional diagnostics.
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The tool identified patients with high-risk disease, which normally goes unrecognised by traditional diagnostics.
Tumours with a greater IGR burden could respond better to immune checkpoint blockades, advancing precise treatments for patients.
US investigators find that some cases of Lynch syndrome, the most common hereditary cancer condition, are missed in younger patients under current screening guidelines.
Research into gynaecological cancers has shown that removing the ETV4 protein from endometrial cancer cells reduces oestrogen signalling and subsequently tumour growth.