Table 1.
Mutational status of patients with mCRC by genes and country regions.
Table 2.
Mutations by location and type in RAS/BRAF genes.
Table 3.
Associations between genetic and clinicopathological features.
Fig 1.
t-SNE clustering based on 3 clinical features (tumor site, histological grade, and city).
And blindly colored KRAS mutation. Five selected clusters were annotated. Each data point represents a patient with a specific color indicating the subgroup of a clinical feature.
Fig 2.
Performance of the neural network model by using continuous age a) ROC curve of the predictive model for KRAS mutation by using continuous age, histological subtype, histological grade, tumor site, and city.
Accuracy (b) and loss (c) curves for both training and validation datasets during model training converge to a more stable configuration.