With the analysis of these different cell populations, whose distribution evolves from diagnosis to disease progression, resistance and relapse, we hypothesize that certain of these cell populations will be revealed to be major drivers of adverse outcomes. Hence, looking at how these cells react and change when we apply different clinical pressures (i.e. targeted vs non-targeted chemotherapies), could allow us to identify new biomarkers, aiding us to dissect the complicated clinical cases and to better adapt treatment protocols.