Ontology highlight
ABSTRACT:
SUBMITTER: Walsh AJ
PROVIDER: S-EPMC4167558 | biostudies-literature | 2014 Sep
REPOSITORIES: biostudies-literature
Walsh Alex J AJ Cook Rebecca S RS Sanders Melinda E ME Aurisicchio Luigi L Ciliberto Gennaro G Arteaga Carlos L CL Skala Melissa C MC
Cancer research 20140806 18
There is a need for technologies to predict the efficacy of cancer treatment in individual patients. Here, we show that optical metabolic imaging of organoids derived from primary tumors can predict the therapeutic response of xenografts and measure antitumor drug responses in human tumor-derived organoids. Optical metabolic imaging quantifies the fluorescence intensity and lifetime of NADH and FAD, coenzymes of metabolism. As early as 24 hours after treatment with clinically relevant anticancer ...[more]