Background: Targeted therapies have become mainstream anticancer treatments, although their efficacy is limited by low response rates, drug resistance, and therapy-related toxicities. Drug combinations have the potential to overcome these challenges. However, identifying effective drug combinations is a major challenge.
Methods: Focusing on melanoma, we systematically interrogated drug-drug interactions to identify synergistic and antagonistic drug combinations. We screened 23 melanoma and 2 melanocyte cell lines with a library of 61 drugs belonging to 11 different drug classes.
Results: We have identified multiple antagonistic and synergistic drug interactions. For instance, the CDK inhibitor abemaciclib strongly reduces the antiproliferative effect of nucleosides. Interestingly, this antagonistic interaction can be converted into a potent synergistic interaction by modifying the sequence of treatment; treating cells first with abemaciclib followed by nucleoside treatment results in antagonism, whereas pretreatment with nucleoside analogs followed by abemaciclib results in strong synergy. Furthermore, strong synergy is observed between combinations of Chk1 inhibitors with nucleoside analogs, especially in cell lines with defects in DNA damage response pathways, such as mutations in TP53 or CDKN2A. A combination of low doses of a Chk1 inhibitor and a nucleoside analog also synergizes in a mouse model of melanoma using female mice and significantly reduces tumor growth without noticeable toxic side effects.
Conclusions: Taken together, our study underscores the importance of careful design of treatment sequence algorithms and identifies actionable drug-drug interactions for treatment of melanoma with translational potential.
Therapies designed to target specific cancer weaknesses have improved treatment outcomes. However, challenges remain. Cancers can evolve resistance to a therapy over time, some tumours never respond fully, and treatments can cause unpleasant side effects. Combining different drugs may help overcome some of these problems, yet identifying combinations that are beneficial rather than harmful is difficult. In this study, we systematically screened drug combinations in laboratory models of melanoma, an aggressive type of skin cancer. Most combinations showed additive effects, meaning the combined effect was roughly equal to the sum of each drug alone. However, we identified a small number of combinations with either a stronger effect than expected (synergy) or a weaker one (antagonism). Understanding which combinations work well together, and which do not, could help guide better treatment choices for people with cancer and ultimately improve outcomes.
© 2026. The Author(s).