Objective: In this study, to analyze correlative effect, we tried to screen for changes in expression of chemokines and their receptors in gastric cancer tissues. A chemokine, named CXCL17, was picked out in this study. Methods: The chemokine gene chip technique was used to detect the difference in expression of chemokines among gastric cancer tissues and adjacent normal tissues, and the correlations between the differentially expressed genes were analyzed by bioinformatics method. CXCL17 was selected for mRNA level and protein level verification through the cancer genome atlas (TCGA) database analysis and immunohistochemistry experiments respectively. The relationship between CXCL17 and its clinical characteristics was studied as well. Results: Gene chip analysis showed an overexpression greater than two folds in 49 genes which were mainly related to immune response and inflammation. Analysis in the TCGA database showed a significant decrease in the expression of CXCL17 in gastric cancer tumor tissues (P<0.01) compared with normal adjacent tissues, and the protein expression of CXCL17 was also decreased (P<0.05). The analysis of clinicopathological data showed that the down-regulation of CXCL17 expression was associated with the degree of tumor differentiation (P<0.01). Conclusion: Our study was to screen the changes of related chemokines in gastric cancer microenvironment by gene chip technologies and the results demonstrated that CXCL17 is associated with the development of gastric cancer.