A study led by researchers from the Nanobioengineering Group at IBEC, in collaboration with other research centers and hospitals in Barcelona, uses a predictive biomarker to anticipate the success of drugs against rhabdomyosarcoma, which represents around 5 percent of childhood tumors . This advance can help in predicting treatment efficiency thus, avoiding tumor resistance and decreasing undesired secondary effects.
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.
IBEC researcher Joan Montero authors a paper in Nature Communications which uncovers a key adaptation that melanoma cancer cells use to evade current therapies. This finding might allow physicians to use better drug combinations to improve patient outcomes in the future.
Despite significant advances in cancer diagnosis and treatment, most targeted cancer therapies fail to achieve complete tumor regressions or durable remission. Understanding why these treatments are not always efficient has remained a main challenge for researchers and physicians. Now, Joan Montero from the IBEC and colleagues at Dana-Farber Cancer Institute/Harvard Medical School in USA report in Nature Communications a mechanism that uncovers why some therapies fail to treat melanoma.