Development of an Individualized Prediction Model
Multivariable logistic regression analysis began with the following
immune variables: CD3, CD8, CD56, CD68, PD-1, PD-L1, the distance
between CD8 and CD56, CD8 and CD68, CD8 and PD-1, CD8 and PD-L1, CD56
and PD-1, CD56 and PD-L1, PD-1 and PDL-1. Immune signature was applied
to develop a diagnostic model for pLN metastasis by using the two
groups. An ROC curve is made for each meaningful marker and every cutoff
value was emerged. Thereafter, these cutoff values are divided into two
groups. At this point, we can make a diagnostic ROC curve and the AUC
reach 0.843 (Figure 6A). The model that incorporated these above
independent predictors was developed and presented as the nomogram
(Figure 6B).
Internally Validation of
the Prediction Model
With the nomogram, we then tested the
remaining 40 percent of cases, and obtained a ROC curve with an AUC
reaching 0.888. (Figure 6C).