Category: Interviews
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Investigating new strategies to target lung cancer
6th December 2021
Recent research from Barts Cancer Institute (BCI) at Queen Mary University of London has identified a novel therapeutic strategy to target lung cancer tumours that lack the gene LIMD1. We spoke with Professor Tyson V Sharp from BCI’s Centre for Cancer Cell & Molecular Biology, who led the study with Dr Sarah Martin, to find out more about the research and the significance of the findings.
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Prof Nick Lemoine interviewed on Channel 4 News about long COVID
29th November 2021
During the interview, Professor Lemoine highlighted that studies being undertaken across the country aim to elucidate the mechanisms involved in long COVID, and further studies are being set up to identify treatments that will be effective against the disease.
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Overcoming drug resistance in breast cancer
28th October 2021
In recognition of Breast Cancer Awareness Month, we spoke with Dr Ioanna Keklikoglou, Lecturer and Group Leader in the Centre for Tumour Microenvironment at Barts Cancer Institute, Queen Mary University of London. Dr Keklikoglou’s research focuses on understanding the molecular and cellular mechanisms that control resistance to anti-cancer therapies in breast cancer.
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Location is key: Understanding RNA localisation in cancer
4th October 2021
Dr Faraz Mardakheh has received a project grant from the Medical Research Council, part of UK Research and Innovation, to investigate how RNA localisation becomes dysregulated during cancer progression.
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Combining medicine with blood cancer research
3rd September 2021
This Blood Cancer Awareness Month, we spoke with Dr John Riches, Clinical Senior Lecturer at Barts Cancer Institute (BCI), Queen Mary University of London. Dr Riches is a clinician scientist who splits his time between BCI where he leads a group researching blood cancer in our Centre for Haemato-Oncology and directs the MSc Cancer & Clinical Oncology Programme, and St Bartholemew’s Hospital where he treats blood cancer patients.
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Dissecting complex biological pathways with machine learning
19th July 2021
We spoke with Group Leader Dr Jun Wang and Postdoctoral Researcher Dr Anthony Anene from Barts Cancer Institute’s Centre for Cancer Genomics & Computational Biology about their most recent publication. Published in Patterns, the paper describes the development of a machine-learning tool called ACSNI that can be used to predict tissue-specific pathway components from large biological datasets.
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