RNA m5C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer

The effect of immunotherapy strategy has been affirmed in the treatment of various tumors. Nevertheless, the latent role of RNA 5-methylcytosine (m 5 C) modification in gastric cancer (GC) tumor microenvironment (TME) cell infiltration is still unclear. We systematically explore the m 5 C modificati...

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Veröffentlicht in:Frontiers in immunology 2022-10, Vol.13, p.905057-905057
Hauptverfasser: Zhang, Qiang, Sun, Xiangfei, Sun, Jianyi, Lu, Jiangshen, Gao, Xiaodong, Shen, Kuntang, Qin, Xinyu
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Sprache:eng
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Zusammenfassung:The effect of immunotherapy strategy has been affirmed in the treatment of various tumors. Nevertheless, the latent role of RNA 5-methylcytosine (m 5 C) modification in gastric cancer (GC) tumor microenvironment (TME) cell infiltration is still unclear. We systematically explore the m 5 C modification patterns of 2,122 GC patients from GEO and TCGA databases by 16 m 5 C regulators and related these patterns to TME characteristics. LASSO Cox regression was employed to construct the m 5 Cscore based on the expression of regulators and DEGs, which was used to evaluate the prognosis. All the GC patients were divided into three m 5 C modification clusters with distinct gene expression characteristics and TME patterns. GSVA, ssGSEA, and TME cell infiltration analysis showed that m 5 C clusters A, B, and C were classified as immune-desert, immune-inflamed, and immune-excluded phenotype, respectively. The m 5 Cscore system based on the expression of eight genes could effectively predict the prognosis of individual GC patients, with AUC 0.766. Patients with a lower m 5 Cscore were characterized by the activation of immunity and experienced significantly longer PFS and OS. Our study demonstrated the non-negligible role of m 5 C modification in the development of TME complexity and inhomogeneity. Assessing the m 5 C modification pattern for individual GC patients will help recognize the infiltration characterization and guide more effective immunotherapy treatment.
ISSN:1664-3224
1664-3224
DOI:10.3389/fimmu.2022.905057