Metabolomics, based on ultraperformance liquid chromatography coupled with electrospray ionization quadrupole mass spectrometry, was used to explore metabolic signatures of tumor growth in mice. Urine samples were collected from control mice and mice injected with squamous cell carcinoma (SCCVII) tumor cells. When tumors reached ϳ2 cm, all mice were killed and blood and liver samples collected. The urine metabolites hexanoylglycine, nicotinamide 1-oxide, and 11,20␣-dihydroxy-3-oxopregn-4-en-21-oic acid were elevated in tumor-bearing mice, as was asymmetric dimethylarginine, a biomarker for oxidative stress. Interestingly, SCCVII tumor growth resulted in hepatomegaly, reduced albumin/globulin ratios, and elevated serum triglycerides, suggesting liver dysfunction. Alterations in liver metabolites between SCCVII-tumor-bearing and control mice confirmed the presence of liver injury. Hepatic mRNA analysis indicated that inflammatory cytokines, tumor necrosis factor ␣, and transforming growth factor  were enhanced in SCCVII-tumor-bearing mice, and the expression of cytochromes P450 was decreased in tumor-bearing mice. Further, genes involved in fatty acid oxidation were decreased, suggesting impaired fatty acid oxidation in SCCVII-tumor-bearing mice. Additionally, activated phospholipid metabolism and a disrupted tricarboxylic acid cycle were observed in SCCVIItumor-bearing mice. These data suggest that tumor growth imposes a global inflammatory response that results in liver dysfunction and underscore the use of metabolomics to temporally examine these changes and potentially use metabolite changes to monitor tumor treatment response. The combination of nuclear magnetic resonance and liquid and gas chromatography coupled to mass spectrometry has enabled the global analysis of metabolites in small volumes of biofluids and tissues. Using this technology, the emerging field of metabolomics seeks to elucidate how pathological conditions, genetic modifications, and xenobiotic exposure can lead to alterations in biochemical pathways of an organism as measured via metabolite profile analysis (1-4). The applications of this technology extend beyond those mentioned above (5) and further hold promise for identifying biomarkers that might provide early diagnostic information characterizing a variety of disease processes. Such biomarkers might also be most useful for following the course of therapy and perhaps predicting treatment outcomes.Cancer is a disease amenable to metabolite interrogation, as many human tumors are difficult to detect at an early stage of development, when they are most vulnerable to treatment. Moreover, many human tumors are unresponsive to a wide variety of therapies, and metabolite profile anomalies specific to cancer might provide targets or pathways for the development of new treatment strategies. A number of different types of human cancers have been subjected to metabolomic analysis (5), and specific metabolites were identified that may provide diagnostic information. Examples include urine sarcos...