The Research About Metabonomics Of Obese Endometrial Carcinoma

Background:In recent years,the incidence and mortality of endometrial cancer?EC?have been rising.In developed countries,it has leapt to the top of gynecological malignancy.The incidence of type I endometrial cancer is most closely related to obesity,81%of type I endometrial cancer patients were associated with obesity.The higher BMI,the greater the risk of endometrial cancer.Metabolomics,as an emerging technology,focuses on changes in the body's metabolite spectrum.High-throughput experiments and large-scale and accurate statistical analysis are the most prominent features of the metabolomics.Metabolic changes are studied in depth.In this study,we used metabolomics analysis techniques to analyze the differences on the expression of some metabolites in the tumor tissues derived from obese and non-obese patients with endometrial cancer to screen for possible abnormal metabolites or metabolic pathways and signal pathways.Methods:The tumor tissues of newly diagnosed endometrial cancer patients were collected and divided into obese group?BMI?28kg/m²?and non-obese group?BMI<28kg/m²?with BMI=28kg/m².Mass spectrometry detection of tumor tissue samples from obese and non-obese endometrial cancer patients using liquid-chromatography mass spectrometry?LC-MS?and ¹⁸C chromatographic analysis to obtain TIC chromatograms of related metabolites in tumor tissues The figure then uses a combination of pattern recognition techniques and related statistical analysis to study the differences in endogenous metabolite levels between obese and non-obese EC tumors.Further use of KEGG and other metabolic network databases to find differential metabolites between obese and non-obese endometrial cancer tumor tissues,and to construct differential pathways for related metabolic pathways or signaling pathways in order to find endometrial cancer patients unique biomarkers and metabolic pathways or signaling pathways.Results:By chromatographic separation of tumor tissue from obese and non-obese groups and overlap of total ion chromatograms?TICs?of QC samples,we found differences in chromatograms between obese and non-obese groups;from multiple statistical analyses and inquiries based on the KEGG metabolic network database,we screened out relevant differential metabolites;then further we constructed differential pathways for related metabolic pathways or pathways,and found that the obese group was lower than the non-obese group and the metabolism of AMPK signaling pathways related to glucose metabolism was down-regulated.There may also be abnormalities in lipid metabolism.Conclusion:Obesity is a risk factor for EC,and it can lead to abnormal glucose metabolism and lipid metabolism.On the one hand,this study confirmed previous observations from tumor models in obese and non-obese mice and further clarified abnormal signaling pathways in obese endometrial cancer.On the other hand,we also found that there is a close connectiona between abnormal lipid metabolism and obese EC.Therefore,the further exploration of the link between glucose metabolism and abnormal lipid metabolism and the occurrence of endometrial cancer is a new way of studying the treatment of EC patients,and regulating the related signal transduction pathways in glucose metabolism and lipid metabolism can be used as the new direction of targeted therapy of obese EC.