Fig. 5: Correlating metabolic dependencies and metabolite levels with tissue-specific metastatic potential.
From: Nutrient requirements of organ-specific metastasis in breast cancer
a, Scatter plots correlating the metastatic potential of breast cancer cells to the lung with in vitro CRISPR dependencies of the indicated genes (left). Each dot represents one cell line. P values from two-sided Pearson correlation tests are shown in the panels. Heat map showing −log10(P) values from correlations between metastatic potential to the indicated tissues and CRISPR dependency scores of the indicated genes (right). Data are from the DepMap portal. b, Scatter plots correlating metabolite concentrations in tissue IF with the metastatic potential of control cells following intracardiac injection. MDA-MB-231 (black) and HCC1806 (blue) values were compared with NSG tissue metabolite data; EO771 (red) was compared with B6 data. Brain values reflect CSF. Data are mean ± s.e.m.; n = 3–7 biologically independent mice per group, with exact numbers provided in the Source Data. Summary data used to derive metastatic potential values are presented in Extended Data Fig. 8. Pearson correlation coefficients (r) and exact P values are provided in the Source Data (two-sided tests). c, Volcano plots depicting Pearson correlation coefficients and P values for metabolites correlated with metastatic potential of control cell lines following intracardiac injection. The black circles indicate metabolites significantly correlated in all three cell lines. Significance was defined as |r| > 0.5 and P < 0.05 (two-sided). G1P, glucose-1-phosphate; GPC, glycerophosphocholine; 3M2OP, 3-methyl-2-oxopentanoic acid; PEtn, O-phosphoethanolamine.
