Home

Translational Cancer and Vascular Research

Main content

Collage av bilder relatert til Enhet for Translasjonell Kreft og Vaskulær Forskning science

The unit studies biological mechanisms underlying the initiation and progression of malignant tumors in the brain, in order to be able to identify and characterize new molecular targets that can be used for the future development of targeted therapies.

We also study general circulation with an emphasis on transcapillary fluid exchange and the tissue microenvironment under normal and pathological conditions, such as hypertension and inflammatory conditions. In our work, we examine skin and muscle, kidney, heart and oral tissues.

Important tools are various imaging techniques (MRI, optical imaging and PET). Our approach is integrative and translational, and we use animal and cellular models of human disease.

Research in Collaboration
Research Collaboration with Suzhou Institute for Brainsmatics

Studying brain tumorigenesis and brain metastasis development through high-throughput and high-resolution brain mapping

Research leaders at the Translational Cancer Research group have newly established a research collaboration with the HUST-Suzhou Institute for Brainsmatics, to study the development of brain tumors and brain metastasis.

Cancer research
Cancer DNA

Nature: A new tool to classify tumors of the central nervous system

There are over 100 tumor types only in the central nervous system. The Translational Cancer Research Group at the Department of Biomedicine provided data and material for a new diagnostic tool that will make it easier for cancer researchers to see the difference.

News
Professor i et forskningslaboratorium

The connection between salt and blood pressure

The Norwegian Health Association supports the research lab around Helge Wiig who investigates if eating too much salt causes high blood pressure. Read a popular scientific article on forskning.no.

News
ChatGPT generated image of a brain with tumor cells

PhD defense - Saruar Alam

New PhD using deep learning to analyse multiparametric MRI images to grade and track tumour cell spreading in the brain.