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• W3127702953 abstract "Although immunotherapy is a potential strategy to resist cancers, due to the inadequate acknowledge, this treatment is not always effective for diffuse large B cell lymphoma (DLBCL) patients. Based on the current situation, it is critical to systematically investigate the immune pattern. According to the result of univariate and multivariate cox proportional hazards, LASSO regression and Kaplan-Meier survival analysis on immune-related genes (IRGs), a prognostic signature, containing 14 IRGs (AQP9, LMBR1L, FGF20, TANK, CRP, ORM1, JAK1, BACH2, MTCP1, IFITM1, TNFSF10, FGF12, RFX5, and LAP3), was built. This model was validated by external data, and performed well. DLBCL patients were divided into low- and high-risk groups, according to risk scores from risk formula. The results of CIBERSORT showed that different immune status and infiltration pattern were observed in these two groups. Gene set enrichment analysis (GSEA) indicated 12 signaling pathways were significantly enriched in the high-risk group, such as natural killer cell-mediated cytotoxicity, toll-like receptor signaling pathway, and so on. In summary, 14 clinically significant IRGs were screened to build a risk score formula. This formula was an accurate tool to provide a certain basis for the treatment of DLBCL patients." @default.
• W3127702953 created "2021-02-15" @default.
• W3127702953 creator A5013928873 @default.
• W3127702953 creator A5027170281 @default.
• W3127702953 creator A5041324566 @default.
• W3127702953 creator A5053248097 @default.
• W3127702953 creator A5090563684 @default.
• W3127702953 date "2021-02-10" @default.
• W3127702953 modified "2023-10-10" @default.
• W3127702953 title "Identification of a 14-Gene Prognostic Signature for Diffuse Large B Cell Lymphoma (DLBCL)" @default.
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