Combined High-Throughput Proteomics and Random Forest Machine-Learning Approach Differentiates and Classifies Metabolic, Immune, Signaling and ECM Intra-Tumor Heterogeneity of Colorectal Cancer.

Furthermore, highly significant FDR values were obtained for biological processes/pathways included in the innate immune system, response to infections and oxidative stress, apoptosis, proteasome activity, actin cytoskeleton organization and assembly, cellular and protein localization, transport, and membrane trafficking.

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Moreover, the synaptogyrin-2 abundance in the tumor surface showed a decreasing trend significantly correlated with the worsening of the Dukes stage and budding index.

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