Approximately one-third of all adults will face cancer diagnosis during their lifetime, creating an urgent need for more efficient cancer therapies. The current therapies for these diseases are often insufficient, unsuccessful or not suitable for all patients. The recent burst of publicly available knowledge on genomic alterations in cancers, together with the sharp increase in targeted cancer therapies, particularly immunotherapies, have created unprecedented possibilities to rapidly identify more effective personalized cancer treatments. The aim of the Translational Cancer Biology research group, led by Academy Professor Kari Alitalo, is to contribute tio desiqn of more efficient treatment options for the personalized cancer therapy.
These new opportunities can only be translated to patient benefit if preclinical stage validation can be performed in tumor models that correctly mimic the extraordinary complexity and heterogeneity of tumors, permitting the discovery and validation of biomarker signatures that associate with the drug efficacy profiles of individual patients.
The location in the multidisciplinary