Skip to main content

Table 7 (a) Correlations between \(\gamma_{mel}\) and clinical measures, with multiple potential values. (b) Correlations between \(\gamma_{mel}\) and binary covariates

From: Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm

(a) \(\gamma_{mel}\) and clinical measures

(b) \(\gamma_{mel}\) and binary covariates

Biomarker

ROC AUC

Maximal Cohen’s kappa (κ)

Biomarker

Cohen’s kappa (κ)

Age

0.56

0.219

Malignant melanoma status

0.185

Breslow thickness

0.63

0.304

Nodular melanoma status

0.258

LDH

0.52

0.128

BRAF V600 status

0.124

LY%

0.52

0.156

  

SOD at the baseline

0.61

0.251

  
  1. The maximal AUC and Cohen’s kappa (κ) values, obtained from ROC analysis (in italics) were obtained for Breslow thickness (see “Methods”)