2.7 Validation of grouping efficacy and association analysis of immune cell infiltration

SD Shi-Zhou Deng
XW Xuechen Wu
JT Jiezhang Tang
LD Lin Dai
BC Bo Cheng
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The relationship between risk scores and immune cells infiltration in OSCC samples was analyzed by the Pearson correlation analysis using the GSVA package. Statistical analysis was done using the ssGSEA algorithm (Hänzelmann et al., 2013). Various immune indicators to study the relationship between factors and immune phenotypes. We analyzed the association between risk scores and immune cell infiltration, as well as the expression of immune biomarkers, HLA family, chemokines, and chemokine receptors. Immune checkpoint was examined via Pearson correlation analysis using p = 0.05 as the cutoff threshold. The immunophenotype scores (IPS) of the patients were used to predict OSCC response to checkpoint blockade immunotherapy (Charoentong et al., 2017).

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