Skip to main content
Fig. 1 | Journal for ImmunoTherapy of Cancer

Fig. 1

From: Whole-blood RNA transcript-based models can predict clinical response in two large independent clinical studies of patients with advanced melanoma treated with the checkpoint inhibitor, tremelimumab

Fig. 1

The 15-gene signature predicting response in the pre-treatment discovery data set consists of 9 predictor genes and 6 enhancer variable genes (a). The sensitivity, specificity, negative predictive value, area under the curve and p-value of the pre-treatment 15 gene signature predicting response in the discovery data set and both response and survival in the validation dataset (b). Composite response-prediction score generated to visually represent responders versus non responders. X Axis is the correlated component score and Y axis is the composite response-prediction score. Red squares (responders) and blue circles (non-responders) (c). Testing of the post-treatment discovery and validation datasets prediction of response and survival including the sensitivity, specificity, negative predictive value, area under the curve and p-value using the pre-treatment 15 gene signature (d)

Back to article page