New method could help to find the best treatment for a pediatric cancer
A study led by IBEC researchers from the Nanobioengineering group, uses a functional predictive biomarker to anticipate the effect of treatments against rhabdomyosarcoma, the most common soft-tissue cancer affecting childhood and adolescence.
This advance can help in predicting treatment efficiency thus, avoiding tumor resistance and decreasing undesired secondary effects.