Figure 3.

Drug library screening using 2D and 3D lung cancer models can unveil cancer biomarkers predictive of chemotherapy response. Cells are treated with different concentration of the tested compounds and the IC50 (i.e., the concentration at which cell proliferation was inhibited by 50%) is computed to determine chemoresponsivness of every cell line (i.e., sensitive vs. resistant). Next, a molecular profile analysis (e.g., gene expression, mutational, protein expression, methylation) can be performed in order to identify a signature correlating with chemoresponsivness, which can be eventually applied to cohorts of patients, to predict their response to treatment and/or to identify actionable pathways.