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New approach offers hope for people with rare eye cancer
21st January 2026
A more active approach to monitoring and treating people with a rare eye cancer (known as uveal melanoma) that has spread to the liver could help some patients to live longer, according to researchers at Barts Cancer Institute, Queen Mary University of London. The findings, from a retrospective study of the largest UK cohort of patients with this condition to date, offer an encouraging sign of progress in this rare and difficult-to-treat cancer.
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Celebrating the BCI’s highlights of 2025
17th December 2025
Join us as we look back at some highlights of Barts Cancer Institute’s news stories this year.
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Discovery reveals new understanding of cancer-driving proteins in rare brain tumours and beyond
7th November 2025
Scientists have discovered that a single letter change in a gene called PRKCA drives a rare and hard-to-treat brain cancer, chordoid glioma, through an entirely unexpected mechanism. The findings could open up new ways to design targeted treatments for this difficult-to-treat disease, and possibly for other cancers involving the same gene.
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New spinout launches to advance early pancreatic cancer detection
29th October 2025
Queen Mary University of London has launched a new company, Procyon Diagnostics, to provide pioneering early cancer detection tests. The company’s first test, PancRISK, offers new hope for detecting pancreatic cancer earlier, building on over 15 years of research by Professor Tatjana Crnogorac-Jurcevic at Queen Mary’s Barts Cancer Institute (BCI), funded by the Pancreatic Cancer Research Fund.
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Blood test helps guide immunotherapy for bladder cancer
22nd October 2025
A new clinical trial led by Professor Thomas Powles at Barts Cancer Institute, Queen Mary University of London, has shown that a blood test to detect tumour DNA could help doctors decide which patients with bladder cancer are most likely to benefit from further treatment after surgery. The new approach improved survival in those identified as high-risk while safely sparing low-risk patients from unnecessary side effects.
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New AI model sheds light on high-risk skin cancer: Q&A with the authors
30th September 2025
Researchers have developed an artificial intelligence (AI) tool that could help doctors identify which skin cancers are most likely to spread. We spoke to Professor Jun (Alex) Wang, a group leader at BCI, and Dr Emilia Peleva, a Clinical Research Fellow and dermatologist in his team, about their new study, published in npj Precision Oncology.
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