| Background: Gastric cancer is a disease endangering human health.Due to the lack of specific symptoms,the diagnosis of gastric cancer is often delayed.Therefore,many patients with gastric cancer lost the best opportunity for surgery,but for the progression of gastric cancer,the clinical efficacy of radiotherapy and chemotherapy is not very ideal,the prognosis of patients is poor.With more thorough tumor research,immunotherapy and targeted therapy have been gradually developed,bringing feasible treatment for patients with advanced gastric cancer.It is of great significance to construct a model that can accurately evaluate the prognosis of patients with advanced gastric cancer based on the microenvironment of gastric cancer.Methods: In this study,single-cell sequencing data and GSE62254 related data were downloaded from Gene Expression Omnibus（GEO）database,and transcriptome data,mutation data and corresponding clinical data were downloaded from TCGA database.Transcriptome and single cell sequencing analysis were conducted based on public database to obtain genes related to gastric cancer metastasis and immune cells.The difference in gene expression of immune cells between gastric cancer metastatic samples and non-metastatic samples was analyzed to construct a prognostic model based on the difference,and the application value and stability of the model were evaluated.In this study,we also used the model to divide gastric cancer into high and low risk groups,and analyzed the expression differences of immune cells between the groups to screen candidate vaccine genes for gastric.Results:（1）After dimensionality reduction clustering of single cell data of gastric cancer,it is found that cells can be divided into Cluster0 and Cluster1,among which Cluster0 is mainly immune cell,and Cluster1 is non-immune cell.The proportion of Cluster1 in metastatic gastric cancer cells was relatively high,which may indicate that immunofine is related to the inhibition of tumor metastasis.HEG1,FCGBP,NDRG2,RPL28,GNB2L1,GSN,CORO2 A,UBC,RPL13 and COL5 were mainly expressed in Cluster0.SREK1,NUFIP2,ORC5,ZBTB41,PRKAA2,OSBPL8,SERPINB13,MAF and LOC64376 were mainly expressed in Cluster1.（2）In the process of immune cell differentiation,both gastric cancer metastatic samples and non-metastatic samples were preferentially differentiated by immune cell,followed by non-immune cell differentiation.In gastric cancer metastasis samples,immune cell differentiation was the main feature,and the expression of immune cells in gastric cancer metastasis samples was different from that in non-metastatic gastric cancer samples.（3）Eight prognostic genes（APOD,MAP3K9,CD59,TAP1,BNC2,CRAMP1 L,SMAD5,COL6A3）were screened by LASSO regression analysis to construct a model,and gastric cancer could be divided into high risk group and low risk group according to the model.The prognosis of the high-risk group was poor,and the model could accurately assess the prognosis of gastric cancer.The value and stability of the model were evaluated in TCGA database and GSE62254 database respectively.The results showed that in the two data sets,the ROC curves of the model in 1,3 and 5 years were all greater than 0.65,and the area under the ROC curve in TCGA database for 5 years was 0.748.It is suggested that the model has high accuracy and stability in prognosis assessment of gastric cancer patients.（4）The results showed that there were different symbiotic landscapes of gene mutations in the high-risk and low-risk groups.There were differences in the expression of immune cells between the high and low risk groups.CD4 and CD8 were mainly expressed in the low risk group,while M2 was mainly expressed in the high risk group.（5）FAT3 can be selected as candidate m RNA vaccine gene of gastric cancer high-risk group;PTPN6 can be used as a candidate m RNA vaccine gene for gastric cancer.Conclusion:The expression of immune cells is different between gastric cancer metastatic samples and non-metastatic samples,and the prognostic model constructed based on this can accurately assess the prognosis of gastric cancer,and the independent prognostic correlation of gastric cancer,and the model has clinical practical application value.In view of the poor prognosis of patients in the high-risk group of GASTRIC cancer in this model,In this study,potential m RNA vaccine genes FAT3,PTPN6 and candidate chemotherapy drugs were selected for high-risk gastric cancer patients and gastric cancer patients.,providing new personalized ideas for clinical treatment of gastric cancer. |
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