The Colorectal Cancer Research Network is an international collaboration working towards increased understanding of genetic mechanisms behind colorectal cancer,
with the aim of improving treatment options.
We perform original research, across borders, and exchange patient materials and expertise to improve our methods and goals.
Professor David Kerr CBE MA MD DSc FRCP (Glas, Edin &Lon) FRCGP (Hon)FMedSci
David contributes to Oxford as Professor of Cancer Medicine, where he has worked with colleagues to build a new Institute for Cancer Medicine and Cancer Hospital. He has an international reputation for the treatment of and research into colorectal cancer and the quality of his work has been recognised by the award of several international prizes and the first NHS Nye-Bevan award for innovation. He has published over 400 papers and has an H-Index of 57 associated with over 12,000 citations. David has made a significant contribution to reforming the NHS as a Founding Commissioner for Health Improvement; Chair of the National Cancer Services Collaborative, Instigator of the Department of Health’s networked approach to clinical cancer research and developed a 20 year plan for the future of the NHS in Scotland, the “Kerr Report”. He was elected Fellow of the Academy of Medical Sciences in 2000, Honorary Fellow of Royal College of General Practitioners in 2007, appointed Commander of the British Empire in 2002 by HM the Queen and was elected President of the European Society of Medical Oncology in 2010. He has established INDOX and Afrox to improve the quality of cancer care in India and Sub Saharan Africa and has served as Health Adviser to two British Prime Minister, Tony Blair and David Cameron.
Professor Marco Novelli MBChB PhD FRCPath
Marco is a consultant histopathologist at University College London. He is an international expert on gastrointestinal histopathology with special interests in colorectal cancer, Barrett’s oesophagus and gastrointestinal mesenchymal tumours. He has published over 90 peer reviewed publications with approximately 4000 citations. His main research interests are on the biology and genetics of colorectal cancer.
Professor Ian Tomlinson MA, PhD, BM, BCh FRCPath FMedSci
Ian joined the University of Edinburgh in autumn 2019 as Charles and Ethel Barr Chair of Cancer Research and became the Director of Edinburgh Cancer Research Centre in January 2020. before moving to Edinburgh Ian was Professor of Molecular and Population Genetics and Head of the Population and Functional Genetics Lab at the Wellcome Trust Centre for Human Genetics in Oxford, and Director of the Institute of Cancer and Genomic Sciences at the University of Birmingham.
His main research interest is cancer genetics, focusing particularly on the genes involved in bowel cancer. In collaboration with the Cancer Research UK Colorectal Cancer Unit at St Mark''s Hospital, Professor Tomlinson is currently carrying out the ''Colorectal tumour gene identification study'' known as CORGI, where DNA samples from hundreds of families with a history of bowel cancer from all over the UK are collected. Professor Tomlinson is also studying people with the inherited syndrome ''Familial Adenomatous Polyposis'' (FAP).www.ed.ac.uk/cancer-centre/research/tomlinson-group
Professor Håvard E. Danielsen PhD (Med)
Håvard has taken on the task of leading the CRC network. He is Director at the Institute for Cancer Genetics and Informatics at Oslo University Hospital (Norway) and professor at Department of Informatics, University of Oslo. In November 2017 Håvard was appointed Visiting Professor in Cancer Informatics at the Nuffield Division of Clinical Laboratory Sciences at the University of Oxford. The last decade he has also been PI at Centre for Cancer Biomedicine, a Norwegian Research Council centre of excellence in research. His research has primarily focused on DNA- and Chromatin organization, and the development of high throughput methods for detection and characterisation of large-scale genomic instability based on high-resolution digital microscopy and advanced image analysis.