Fig. 5

Prediction model to efficacy of ICI plus chemotherapy. A is the receiver operating characteristic (ROC) curve of the prediction model, with an AUC area of 0.817. When the cut-off value of model score is 0.598, the sensitivity is 62.5% and the specificity is 100%. B is the Nomo diagram to display the prediction model. Factors contributed to the prediction model include PLR, pre-treatment E4 (E4_1), and after-treatment CD25 on NK cells (NK_25_2). Lower value of PLR and higher values of E4_1 and NK_25_2 bring higher points, and higher points predict higher probability to acquire clinical benefit (CB) from ICI plus chemotherapy for patients with EGFR-TKI resistance