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Aim: The aim of this study was to identify whether metabolite biomarker candidates for pancreatic cancer (PC) could aid detection of intraductal papillary mucinous neoplasms (IPMN), recognized as high-risk factors for PC. Materials & methods: The 12 metabolite biomarker candidates, which were found to be useful to detect PC in our previous study, were evaluated for plasma samples from patients with PC (n = 44) or IPMN (n = 24) or healthy volunteers (n = 46). Results: Regarding the performance of individual biomarkers of PC and PC high-risk IPMN, lysine exhibited the best performance (sensitivity: 67.8%; specificity: 86.9%). The multiple logistic regression analysis-based detection model displayed high sensitivity and specificity values of 92.5 and 90.6%, respectively. Conclusion: Metabolite biomarker candidates for PC are useful for detecting high-risk IPMN, which can progress to PC.

Aim: To identify the serum metabolomics signature that is correlated with the chemoradiosensitivity of esophageal squamous cell carcinoma (ESCC)., Materials & Methods: Untargeted and targeted metabolomics analysis of serum samples from 26 ESCC patients, which were collected before the neoadjuvant chemoradiotherapy, was performed., Results: On receiving the results of untargeted metabolomics analysis, we performed the targeted metabolomics analysis of the six metabolites (arabitol, betaine, glycine, L-serine, L-arginine and L-aspartate). The serum levels of the four metabolites (arabitol, glycine, L-serine and L-arginine) were significantly lower in the patients who achieved pathological complete response with neoadjuvant chemoradiotherapy compared with the patients who did not achieve pathological complete response (p = 0.0086, 0.0345, 0.0106 and 0.0373, respectively)., Conclusion: The serum levels of metabolites might be useful for predicting the chemoradiosensitivity of ESCC patients.

Aim: To examine a novel screening method for pancreatic cancer involving gas chromatography/mass spectrometry and liquid chromatography/mass spectrometry-based metabolomics analysis., Materials & Methods: Sera from pancreatic cancer patients (n = 59) and healthy volunteers (n = 59) were allocated to the training set or validation set. Serum metabolome analysis was carried out using our multiplatform metabolomics system. A diagnostic model was constructed using a two-phase screening method that was newly advocated., Results: When the training set was used, the constructed diagnostic model exhibited high sensitivity (100%) and specificity (80%) for pancreatic cancer. When the validation set was used, the model displayed high sensitivity (84.1%) and specificity (84.1%)., Conclusion: We successfully developed a diagnostic model for pancreatic cancer using a multiplatform serum metabolomics system.

Aims: Several screening methods have been applied for the early diagnosis of colorectal cancer, but most colorectal cancer patients are not diagnosed at a localized stage. In order to find novel biomarkers for the diagnosis of colorectal cancer, profiling of the serum levels of fatty acids, which are the main components of fats and are important factors for human metabolism, was performed using the sera of colorectal cancer patients., Materials & Methods: A total of 42 colorectal cancer patients and eight healthy volunteers participated in this study. The serum levels of fatty acids, including free fatty acids and esterified fatty acids, were evaluated by gas chromatography/mass spectrometry. Then, partial least squares discriminant analysis was performed on the basis of the serum fatty acids detected by gas chromatography/mass spectrometry., Results: The serum levels of the nine fatty acids exhibited distinct differences between the colorectal cancer patients and healthy volunteers: the levels of four fatty acids were higher in the colorectal cancer patients than the healthy volunteers, and those of the other five fatty acids were lower. These changes were also observed at a very early clinical stage. Furthermore, the levels of very-long-chain fatty acids had a tendency to be increased in the sera of the colorectal cancer patients., Conclusions: The pathogenesis of colorectal cancer leads to changes in the composition of serum fatty acids including free fatty acids and esterified fatty acids. These results suggest that serum fatty acid profiling may be used as a novel diagnostic tool for early-stage colorectal cancer.