Tissue metabolic profiling of human gastric cancer assessed by (1)H NMR.

Huijuan Wang; Hailong Zhang; Pengchi Deng; Chunqi Liu; Dandan Li; Hui Jie; Hu Zhang; Zongguang Zhou; Ying-Lan Zhao; Wang, Huijuan; Zhang, Hailong; Deng, Pengchi; Liu, Chunqi; Li, Dandan; Jie, Hui; Zhang, Hu; Zhou, Zongguang; Zhao, Ying-Lan

Background: Gastric cancer is the fourth most common cancer and the second most deadly cancer worldwide. Study on molecular mechanisms of carcinogenesis will play a significant role in diagnosing and treating gastric cancer. Metabolic profiling may offer the opportunity to understand the molecular mechanism of carcinogenesis and help to identify the potential biomarkers for the early diagnosis of gastric cancer.Methods: In this study, we reported the metabolic profiling of tissue samples on a large cohort of human gastric cancer subjects (n = 125) and normal controls (n = 54) based on (1)H nuclear magnetic resonance ((1)H NMR) together with multivariate statistical analyses (PCA, PLS-DA, OPLS-DA and ROC curve).Results: The OPLS-DA model showed adequate discrimination between cancer tissues and normal controls, and meanwhile, the model excellently discriminated the stage-related of tissue samples (stage I, 30; stage II, 46; stage III, 37; stage IV, 12) and normal controls. A total of 48 endogenous distinguishing metabolites (VIP > 1 and p Conclusion: As far as we know, the present study firstly identified the differential metabolites in various stages of gastric cancer tissues. And the AUC values were relatively high. So these results suggest that the metabolic profiling of gastric cancer tissues has great potential in detecting this disease and helping to understand its underlying metabolic mechanisms.

GASTRIC diseases; CARCINOGENESIS; METABOLIC profile tests; NUCLEAR magnetic resonance; METABOLITES

BMC Cancer, 2016, Vol 16, p1

1471-2407

Academic Journal

10.1186/s12885-016-2356-4