Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma.

The two subtypes also showed a separated tendency in the recurrence-free survival plot (log-rank test, marginally significant with p = 0.078) (Fig. 2a , right panel).

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The biological processes of gluconeogenesis; fatty acid metabolism; drug metabolism; valine, leucine and isoleucine (V/L/I) metabolism; and alanine, aspartate and glutamate (A/D/E) metabolism showed a decreasing trend, with no significant differences between healthy liver tissues and Subtype 1 NATs (Fig. 6a and Table S7 ).

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To systematically analyze the proteins with dynamic changes in the order of healthy liver tissues, Subtype 1 NATs, Subtype 2 NATs and tumors, we clustered all dynamic proteins into four clusters by the Mfuzz soft clustering algorithm, where Cluster 1 proteins ( n = 365) showed an increasing trend and Cluster 4 proteins ( n = 762) showed a decreasing trend (Fig. 6b ).

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