Background: Gastric cancer (GC) is one of the leading causes of cancer death worldwide. Increasing evidences have revealed different molecular characteristics between intestinal type GC and diffuse type GC.Results: We constructed Lauren subtype-specific competitive endogenous RNA (ceRNA) networks and identified common ceRNA network by comprehensive bioinformatics methods including differential expression analyses, RNA-RNA interaction prediction, negatively correlated RNA pairs and weighted

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... co-expression network analysis. Besides, we detected the fraction of 22 immune cell types in GC by CIBERSORTx and investigated the correlation of immune cells and markers of ceRNA network. Ultimately, diagnostic performance of lncRNAs and mRNAs in ceRNA network were estimated by support vector machine (SVM). SNHG14 was identified as ceRNA of hsa-miR-429/ ZFPM2, hsa-miR-429/ZEB1 and hsa-miR-200b-3p/ZEB1 axes in all GC. Mast cells and Macrophages significantly differed not only between the tumor and normal tissue, but also between the two subtypes. Mast cells and Macrophages are significantly associated with multiple components in ceRNA network. Our results demonstrated lncRNAs and mRNAs of ceRNA network in the whole group (AUC=0.9152), the intestinal group (AUC=0.9670) and the diffuse group (AUC=0.9737) showed good performance in tumor diagnosis.Conclusion: Based on ceRNA networks and patterns of immune infiltration, our study provided a valid bioinformatics basis in order to explore the molecular mechanism and estimated diagnosis performance of RNAs in ceRNA network.