Table 1 Significance of prioritization metrics in predicting immune response. Based on a linear model, each prioritization metric, along with tumor and paired normal epitope binding affinities and the number of sequence mismatches between neoepitopes and paired normal epitopes, were tested for the ability to predict immune response to a predicted neoepitope
From: Population-level distribution and putative immunogenicity of cancer neoepitopes
Predictor of immune response | Adjusted R2 | Significance (p value) |
|---|---|---|
Neoepitope binding affinity | −0.002 | 0.7 |
Paired normal epitope binding affinity | −0.002 | 0.7 |
Difference in binding affinity between neoepitope and paired normal epitope | −0.002 | 0.7 |
Difference in binding affinity between neoepitope and closest human protein | −0.002 | 0.3 |
Number of mismatches between neoepitope and paired normal epitope | 0.01 | 0.03 |
Percent protein sequence similarity between neoepitope and paired normal epitope | 0.004 | 0.09 |
Percent protein sequence similarity between neoepitope and closest human protein | −0.001 | 0.5 |
Percent protein sequence similarity between neoepitope and closest bacterial protein | −0.002 | 0.8 |
Percent protein sequence similarity between neoepitope and closest viral protein | 0.007 | 0.046 |