Translational Oncology Research Group – Breast Cancer Image Dr Arran Turnbull, Senior Lecturer and Group Leader Research in a NutshellOur group aims to investigate the mechanisms of resistance to endocrine therapy and other treatments in breast cancer and develop clinically-applicable approaches to identify patients who are at higher risk of disease progression or relapse.Research Programme Image People Dr Arran TurnbullPrincipal Investigator and Group LeaderProf Mike DixonCo-Group LeaderDr Carlos Martinez-PerezPostdoctoral Research FellowCharlene KayResearch Associate & PhD studentZuzanna GedziorowskaPhD studentJillian VanOrsouwResearch NurseSue HopeResearch & Ethics Coordinator and Group Admin SupportLorna RenshawResearch Nurse CoordinatorNatalie WilsonClinical Research Support (Affiliate – CRUK/ECMC Tissue Group)Mihail HalachevBioinformatician (Affiliate – IGC Bioinformatics Core)Contacta.turnbull@ed.ac.uk Arran Turnbull - Research Information Cancer Research CollaborationsProfessor Charles Perou, University of North Carolina Professor Lisa Carey, University of North Carolina Professor Bob Clarke, Hormel Institute Professor Val Brunton, University of EdinburghProfessor Igor Goryanin, University of EdinburghProfessor David Cameron, University of EdinburghDr Tak Kitamura, University of EdinburghDr Olga Oikonomidou, University of EdinburghDr Peter Hall, Cancer Informatics, University of EdinburghAstra ZenecaGenomic HealthPhilipsInnoSIGNDigistainAPIS TechnologiesWobble GenomicsMacromicsPartners and Funders (current)Breast Cancer NowBreast Cancer InstituteThe Urology FoundationRoyal Society of EdinburghTenovus ScotlandCSONHS Lothian CharityLen Thomson TrustJohn Black FoundationSULSANational Institute of Health (NIH) – Georgetown University Scientific ThemesBreast cancer, endocrine therapy, chemotherapy, prediction of treatment response, mechanisms of treatment resistance, cancer and stratified medicineTechnology expertiseRNA and DNA sequencing, bioinformatics, transcriptomics, mass spec, proteomics, spatial geomics, clinical, biomarkers selection and statistics This article was published on 2024-09-23
