DR-074 Modeling the pan-cancer molecular landscape and predicting drug response in metastatic cancer

Personalized medicine driven treatments in major diseases like non-small cell lung cancer (NSCLC) and melanoma offer important health benefits to specific genetically determined subgroups, but can be expensive and may induce severe side effects. Whole Genome Sequencing (WGS) simultaneously tests for all relevant genetic aberrations in tumor tissue from individual cancer patients thereby allowing immediate selection of optimal therapy. This approach is likely to improve patient survival, avoid adverse effects, and to assist in controlling health care costs by offering treatment to only those identified to benefit. The TANGO project aims to detect the most effective way of using WGS in clinical practice by comparing with standard of care diagnostics, in order to let all NSCLC and melanoma patients benefit from personalized medicine driven treatments.

Edwin Cuppen University Medical Center Utrecht the Netherlands