Figure 3 from Noninvasive Stratification of Colon Cancer by Multiplex PET Imaging

PET imaging can distinguish different colon subcutaneous organoid cancer models and individual driver genes. A, The data processing workflow for comparing PET radiotracer discriminatory power and the model/gene uniqueness. B, Separation matrix and statistics of the area under the ROC curves for each tracer and model. C, Red highlighted box showing boxplot and ROC curves for [¹⁸F]FDG in the BMT (n = 6 subcutaneous organoid allografts) compared with other models (n = 19), each point represents a mouse. Numbers inside bars show sample size, n. Data compared using unpaired t test. D, Separation matrix and statistics of the area under the ROC curves for each tracer and gene. Tgfbr1/Alk5 ^fl/fl and Tgfbr2 ^fl/fl are combined as TGFb for this analysis. E, Red highlighted box showing boxplot and ROC curves for [¹⁸F]FLT in the Kras (n = 18) compared to other subcutaneous models (n = 6), each point represents a mouse. Numbers inside bars show n. Data compared using unpaired t test. Error bars in C and D represent SD. *, P < 0.05; **, P < 0.01; ***, P < 0.001 for unpaired t tests and AUC ROC. Each analysis stands on its own; no multiple comparison testing was used. See extended datasets in Supplementary Fig. S4. (A, Created with BioRender.com.)