Mike Dixon Research Group
Edinburgh Breast Unit Research Group
Professor Mike Dixon OBE - Professor of Surgery and Consultant Surgeon
Research in a Nutshell Edinburgh Breast Unit Research Group aims to investigate the mechanisms of resistance to endocrine therapy in breast cancer and develop clinically-applicable approaches to identify patients who are at higher risk of disease progression or relapse.
Research Programme
Personal Profile
People Professor J Michael Dixon OBE Professor of Surgery and Consultant Surgeon Dr Arran Turnbull Affiliate – Translational Oncology Research Group Dr Carlos Martinez-Perez Affiliate – Translational Oncology Research Group Lorna Renshaw Consultant Nurse/NHS Monica McGill Research Coordinator Charlene Kay PhD Student (co-supervised with Dr Arran Turnbull) Dhananjay Kulkarni Consultant Breast Surgeon & PhD Student Sue Hope Research & Ethics Coordinator and Admin Support Natalie Wilson Clinical Research Support (Affiliate – CRUK Tissue Group)
Collaborations Professor Charles Perou, University of North Carolina Professor Lisa Carey, University of North Carolina Professor Bob Clarke, Hormel Institute Professor Val Brunton, University of Edinburgh Professor Igor Goryanin, University of Edinburgh Professor David Cameron, University of Edinburgh Dr Tak Kitamura, University of Edinburgh Dr Olga Oikonomidou, University of Edinburgh Dr Peter Hall, Cancer Informatics, University of Edinburgh Astra Zeneca Genomic Health Philips InnoSIGN Digistain APIS Technologies Wobble Genomics Macromics Partners and Funders (current) Breast Cancer Now Breast Cancer Institute The Urology Foundation Royal Society of Edinburgh Tenovus Scotland CSO NHS Lothian Charity Len Thomson Trust John Black Foundation SULSA National Institute of Health (NIH) – Georgetown University Breast cancer, endocrine therapy, chemotherapy, prediction of treatment response, mechanisms of treatment resistance, cancer and stratified medicine
RNA and DNA sequencing, bioinformatics, transcriptomics, mass spec, proteomics, spatial geomics, clinical, biomarkers selection and statistics
This article was published on
2024-09-23