My research is focused on the links between cancer and inflammation, being especially interested in translating knowledge of cancer biology into new biological treatments for cancer and in the role that inflammatory cytokines play in cancer promotion. We study the tumour microenvironment of ovarian cancer using a platform of human multi-cellular tissue culture models and mouse models to research biological therapies that may prevent relapse and increase patient survival.
Our research aims to improve the efficacy of standard of care immunotherapy, chemotherapy and radiotherapy in human solid cancers by understanding the molecular mechanisms underlying tumour stromal contributions to tumour growth and therapy efficacy.
My clinical research interests include tissue banking, clinical trials, innovative surgical techniques, epidemiology, meta-analysis and patient care pathways. My translational research interests include pancreatic cancer stroma and tumour-stroma cross-talk including cell signalling, adhesion, metastasis and invasion.
My research interests are focused on Targeted Precision Prevention. This includes population-based genetic testing, mainstreaming genetic testing and approaches for risk prediction, population stratification, targeted screening, cancer prevention and cost-effectiveness analyses.
My focus is on the pathology and natural history of prostate, testicular and penile cancer working to translate basic research into practical treatments for patients with novel tests and bespoke predictive treatments.
My group is interested in epigenetic regulation of somatic mutagenesis in normal and malignant B cells. We aim to understand how alterations in the nuclear envelope influence B cell chromatin conformation, and what the epigenetic consequences of these alterations are.
My research interests lie in the area of translational bioinformatics. Current research projects are focused in high-throughput data analysis, integration with clinical data, databases and software development, particularly for pancreatic cancer and breast cancer.
My research focuses on molecular pathology of pancreatic cancer, in particular its development and progression. We are using this knowledge to develop biomarkers for early, non-invasive detection of this malignancy in urine specimens.
My research group uses unique proteomics and computational approaches to understand how cell signalling pathways driven by the activity of protein kinases contribute to the development of cancer. Increasing this knowledge will be invaluable in advancing personalised cancer therapies.
My group works on developing novel approaches to improve efficacy and safety of allogeneic stem cell transplantation and adoptive immunotherapy as treatments for blood cancers. We focus on T-cell alloreactivity in the context of stem cell transplantation and immunotherapy.
Our research aims to understand the epigenetic regulation of transposable elements and how their dysregulation contributes to the generation and development of cancer. In particular, we investigate their roles as gene regulators and triggers of anti-tumour immunity in blood cancers.
We are investigating how drug resistance evolves in bowel and gastro-oesophageal cancers, how these tumour types can be treated more effectively through novel immunotherapies and targeted drugs, and how treatment sensitivity and resistance can be predicted.
We are interested in how cancer cells interact with each other and the microenvironment. We investigate how cancer cell communication with neighbouring stromal cells and the extracellular matrix can impact on invasion and response to targeted therapies, to try to block cancer progression, with a particular focus on breast and pancreatic cancer.
The central aim of our laboratory is to understand the biology of leukaemic stem cells and identify therapeutic targets to specifically eradicate them, thus discovering novel and efficient leukaemia therapies. We also focus on understanding haematopoietic stem cell biology with the hope to harness this knowledge for expanding them for therapeutic purposes.
Our lab aims to improve treatments for women with ovarian cancer, particularly those that are resistant to chemotherapy. We are interested in developing therapies that can adapt to the evolution of chemotherapy resistance over time such as Adaptive Therapy.
We aim to identify genetic alterations that influence cancer development, progression and therapeutic responses, in particular prostate cancer, and further develop them into biomarkers for cancer diagnosis and therapeutic stratification, with a current focus on circulating biomarkers.
Our research group is involved in investigating nuclear and mitochondrial DNA repair as a therapeutic target in cancer. In particular, we have focused on the DNA mismatch repair (MMR) pathway, the system for recognising and repairing mistakes in DNA replication and so preventing genetic mutations.
I am a leading expert in establishing higher education degrees for acquiring operative surgical skills by simulation. I pioneered the Masters course in Surgical Skills and Sciences at Barts Cancer Institute and have set up a “Virtual Reality Surgical Simulation Centre” for training surgeons.
My research interests focus on improving the care of women with breast cancer through clinical trials. I am investigating a variety of novel agents that target specific pathways within cancer cells and the surrounding tissue.
I have broad research interests and experience in bioinformatics, cancer genomics and data analytics. These research areas mainly involve developing and applying bioinformatics and computational approaches to analyse large-scale cancer datasets to uncover novel diagnostic and prognostic biomarkers. I also lead the Cancer Research UK Barts Centre Bioinformatics Core Facility.
My group combines mathematics, computer simulations and genomic information to study evolutionary processes. We aim to understand how a tumour’s evolutionary history is reflected in its genome, how evolution can be quantified in individual tumours and how this information predicts future evolution.
I am a clinical collaborator in numerous laboratory-based studies particularly the localisation of Lipiodol in Hepatocellular carcinomas, inflammatory and immune responses to surgery, and tumour-stroma interactions in pancreatic carcinoma. Clinical areas of interest have been video consultations in tertiary care, surgery for pancreatic tumours (especially NETs) and liver tumours, and tissue banking.
My research interests include clonal evolution in colorectal adenomas and inflammation-associated cancer, the nature of Barrett’s glands, and the design of methods to explore neutral drift in stem cell divisions in normal human tissues.
I am providing bioinformatics support for several projects focusing on squamous cell carcinoma. This generally involves developing bioinformatics pipelines for large-scale cancer datasets and utilising computational approaches for analysis, with the overall aim being to uncover novel diagnostic and prognostic biomarkers.
My research is focused on describing the mechanisms underlying Lamin B1 nuclear disassembly in B-cell normal development and how a dis-regulated Lamin B1 removal pathway could lead to several haematological malignancies within the germinal centre in secondary lymph organs.
We are updating the bioinformatics data management system, expanding the analytical modules and functionalities, developing purpose-built graphical pug-ins and designing the bioinformatics infrastructure to allow the querying and analysis of data returned from projects using BCNTB tissues.
Our research is focused in defining the cellular interactome of haematopoietic stem cells and leukaemic stem cells inside their niches during adulthood, ageing and disease. We are also interested in the cellular and molecular mechanisms that drive clonal selection and evolution in clonal haematopoiesis.
My role focuses on the design and implementation of a data management system for a pancreatic tissue bank hosted by the Institute.
My interest also lies in the development of various web-based computational analyses and data mining tools for biological research.