REFLECTions on Combination Therapies Empowered by Data Sharing

Li and colleagues present REFLECT, a computational approach to precision oncology that nominates effective drug combinations by utilizing a diverse compendium of publicly available preclinical and clinical genomic, transcriptomic, and proteomic data. The preliminary validation of the REFLECT system in preclinical and clinical trial settings showcases potential for clinical implementation, although challenges remain.

Automated summary

Li and colleagues introduce REFLECT, a computational approach for precision oncology that utilizes diverse publicly available genomic, transcriptomic, and proteomic data to nominate effective drug combinations. The preliminary validation of REFLECT in preclinical and clinical trial settings demonstrates its potential for clinical implementation, although challenges remain.