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.

People

NameRole
Professor J Michael Dixon OBEProfessor of Surgery and Consultant Surgeon
Dr Arran TurnbullAffiliate – Translational Oncology Research Group
Dr Carlos Martinez-PerezAffiliate – Translational Oncology Research Group
Lorna RenshawConsultant Nurse/NHS
Monica McGillResearch Coordinator
Charlene KayPhD Student (co-supervised with Dr Arran Turnbull)
Dhananjay KulkarniConsultant Breast Surgeon & PhD Student
Sue HopeResearch & Ethics Coordinator and Admin Support
Natalie WilsonClinical Research Support (Affiliate – CRUK Tissue Group)

Key Publications

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

 

Scientific Themes

Breast cancer, endocrine therapy, chemotherapy, prediction of treatment response, mechanisms of treatment resistance, cancer and stratified medicine

Technology Expertise

RNA and DNA sequencing, bioinformatics, transcriptomics, mass spec, proteomics, spatial geomics, clinical, biomarkers selection and statistics

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