From: Platelet protein biomarker panel for ovarian cancer diagnosis
A) PLS-DA-based analysis of protein spots expression in 2D | |||||||||
Component | Latent variables | R2X (cum) | Q2 (cum) | CV-ANOVA, p-value | permutation test, p-value | Sensitivity | Specificity | ||
Model | 3 | 0.318 | 0.72 | 8,5 * 10–9 | <0.001 | calibration set | 0.96 | 0.88 | |
validation set | 1.00 | 0.44 | |||||||
B) OPLS-DA-based analysis of protein expression in western blot. | |||||||||
Component | Latent variables | R2X (cum) | R2 (cum) | Q2 (cum) | CV-ANOVA, p-value | permutation test, p-value | Sensitivity | Specificity | |
Model | 1 + 1 | 0.203 | 0.632 | 0.477 | 4.41E-14 | <0.001 | calibration set | 0.83 | 0.89 |
Predictive | 1 | 0.0717 | 0.632 | 0.477 | validation set | 0.88 | not tested | ||
Orthogonal | 1 | 0.131 | 0 | ||||||
C) ROC analysis of protein expression in western blot. | |||||||||
Compared groups | AUC | standart deviation | 95% confidence interval | z statistics | p-value | Sensitivity | Specificity | ||
ROC 1 | 0.777 | 0.0418 | 0,695 to 0,859 | 6.639 | <0,0001 | ROC1 | 60 | 83.33 | |
ROC 2 | 0.831 | 0.0501 | 0,733 to 0,930 | 6.615 | <0,0001 | ROC2 | 83.33 | 76.19 | |
D) OPLS-DA-based analysis of protein expression in Digi west. | |||||||||
Component | Latent variables | R2X (cum) | R2 (cum) | Q2 (cum) | CV-ANOVA, p-value | permutation test, p-value | Sensitivity | Specificity | |
Model | 1 + 2 | 0.24 | 0.785 | 0.345 | 4.50E-03 | <0.001 | test set | 0.7 | 0.83 |
Predictive | 1 | 0.037 | 0.785 | 0.345 | |||||
Orthogonal | 2 | 0.203 |