作者: Devin G Roller , Stephen A Hoang , Kristopher D Rawls , Katherine A Owen , Michael B Simmers
DOI: 10.1038/S41598-021-84612-Z
关键词:
摘要: Lung cancer rates are rising globally and non-small cell lung (NSCLC) has a five year survival rate of only 24%. Unfortunately, the development drugs to treat is severely hampered by inefficiency translating pre-clinical studies into clinical benefit. Thus, we sought apply tumor microenvironment system (TMES) NSCLC. Using microvascular endothelial cells, derived fibroblasts, NSCLC cells in presence vivo tumor-derived hemodynamic flow transport, demonstrate that TMES generates an in-vivo like biological state predicts drug response EGFR inhibitors. Transcriptomic proteomic profiling indicate recapitulates patient molecular providing mechanistic rationale for predictive nature TMES. This work further validates modeling biology indicating utility as tool discovery potential use avatars.