Since Table 1 shows not only the selected features with statistically significant differences between positive and negative classes but also manually reviewed evidence indicating that COL6A3 [65] and TNM [66] are related to the development of colorectal cancer, OTOG [67] and KAL1 [68] are related to gastric cancer and oral squamous cell carcinoma, and most of the functions of proteomics and phosphoproteomics features [69] are related to cancer, we consider that these features can be employed as classifiers for our proposed predictive model. Here, OTOG is linked to gastric cancer.