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Study On The Blood Metabolomics Of Early Gastric Cancer Using Combined Liquid Chromatography-mass Spectrometry

Posted on:2021-01-29Degree:MasterType:Thesis
Country:ChinaCandidate:Q WuFull Text:PDF
GTID:2404330626459156Subject:Clinical Medicine
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Objective:The blood samples of advanced gastric cancer,early gastric cancer and healthy people were analyzed by liquid chromatography-mass spectrometry(lc-ms).The accuracy of these markers in distinguishing gastric cancer from healthy people,early gastric cancer from healthy people was tested to provide scientific basis for the search for new biomarkers for early gastric cancer.Methods:1.Sample processing:Samples were collected and centrifuged at 14000r/min for 5min.The supernatant was taken for lc-ms analysis.2.Lc-ms analysis:We detect the serum samples by liquid chromatography-mass spectrometer,and the metabolic profiles and original data of blood samples of advanced gastric cancer,early gastric cancer and healthy people were obtained.3.Data processing:Variance analysis,principal component analysis,partial least squares discriminant analysis,cluster analysis and other statistical methods were used to analyze the differential metabolites of gastric cancer patients and healthy people,as well as early gastric cancer patients and healthy people,and draw ROC curves to verify the accuracy of these products in differentiating groups.4.Verification group verificationIndependent samples were set up as the verification group,and several different metabolites were used to verify,group and judge the accuracy of the verification group.Results:The total ion flow chart of the samples of advanced gastric cancer,early gastric cancer and healthy people was obtained Under the positive and negative ion modes.A total of 316 metabolites with statistical significance were screened by variance analysis.The score chart of principal component analysis shows that each group can be well separated.Four important differential metabolites were obtained by partial least squares discriminant analysis and support vector machine discriminant analysis.ROC curves were drawn to show that the area values of the four metabolites were all greater than 0.8,indicating high accuracy.The content histogram shows that the contents of the four metabolites are different in each group.These four different metabolites were used as the basis for grouping the independent samples,and the results showed that they had a good ability to distinguish advanced gastric cancer,early gastric cancer and healthy people.Conclusion:There are metabolomic differences between gastric cancer and healthy people,and potential biomarkers include spermine,enterostatin,heparin sulfate,and triacylglycerol.There are metabolomic differences between early and healthy individuals,and potential biomarkers include spermine,enterostatin,heparin sulfate,and triacylglycerol.Spermine,enterostatin and triacylglycerol showed a decreasing trend in tumor development.Heparan sulfate decreased first and then increased in the development of tumor.The change of metabolite content may be related to the development of tumor,and its metabolic mechanism can be further explored.
Keywords/Search Tags:Early gastric cancer, biomarkers, metabolomics
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