The Rosenfeld group develops molecular diagnostic tools for cancer detection, characterisation and monitoring, to help make more informed treatment decisions. We focus on liquid biopsies, in which we analyse blood samples to detect and characterise cell-free circulating tumour DNA (ctDNA).
I study the biology of tumour invasion with a particular focus on the roles of the adhesion molecules expressed on the cell surface that mediate this process. Our group concentrates on the study of integrins that are the principal family of adhesion molecules that mediate the interaction between cells and the extracellular matrix.
Our group studies changes in metabolism and metabolic stresses that are caused by oncogene activation and how these stresses lead to tumour suppressive responses.
My research in breast cancer focuses on the progression of in-situ to invasive disease with the aims of identifying 1) markers which can predict behaviour and 2) novel therapeutic targets.
We study the role of growth factor receptor signalling and intracellular trafficking (movement inside cells) in tumour growth and metastasis in the view of improving cancer therapy.
The focus of our research is the tumour microenvironment and we are particularly interested in understanding the composition and function of the tumour extracellular matrix in immunosuppression. Cancer types we focus on include ovarian and breast cancers.
My lab aims to understand the alterations in metabolism that take place in cancer and investigate whether extrinsic factors, such as diet, influence cancer metabolism and disease trajectory. We then want to uncover whether these dependencies can be exploited therapeutically.
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.
My research is focused on Machine Learning with applications in Bioinformatics and Health Informatics, and Data Management of the Breast Cancer Now Tissue Bank (BCNTB).
My research focuses on understanding the progression of early breast cancer (ductal carcinoma in situ – DCIS) to invasive disease and the role of the microenvironment in this process.
My research investigates how centrosome amplification in breast cancer impacts angiogenesis and the tumour microenvironment, and how this can be targeted as a potential cancer therapy.
Daniele Di Biagio is a Postdoctoral Researcher at Barts Cancer Institute, Queen Mary University of London.
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.
My research projects involve identifying tumour suppressors involved in regulating the hypoxic response and metabolic stress, with the aim to identify novel targeted therapies against these.
My research is focused on the tumour microenvironment of breast cancer with a particular focus on metabolic crosstalk between pericytes and its surrounding environment.
My research focuses on understanding the relationship between chromosome instability mechanisms and tumour cells’ resistance to therapies.
Our research focuses on the principles of spatial biology, integrating digital pathology, multi-omic data, and various imaging modalities to explore tissue architecture and the tumour microenvironment.
The aim of my work is to develop clinically-relevant biomarkers that could aid in earlier disease detection, predict treatment response, and inform clinical management of patients.
My research focuses on the bioinformatic analyses of DNA methylation of circulating tumour DNA and the use of DNA methylation as a biomarker for breast cancer prognosis.
My research investigates a specific composition of extracellular matrix molecules which may explain the difference between responders and non-responders to immunotherapy.
My research focuses on Vaccinia virus (VACV) as a candidate for oncolytic virotherapy, an extremely effective strategy that can simultaneously target multiple features of the suppressive tumour microenvironment (TME) in cancer and sensitize the tumours to other forms of immune or traditional therapeutics.