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. 2022 Jul 28;13:950536. doi: 10.3389/fimmu.2022.950536

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Copyright © 2022 Bai, Chen, Cheng, Li, Chi, Zhang, Zhang, Tang, Zhao, Ang and Zhang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Hypermetabolism and immunosuppression in hepatoma Cells. (A) Cancer cell distribution across all tumor samples. (B) Volcano plot of the DEGs between tumor-derived hepatoma cells and normal tissue-derived hepatocytes. The upregulated genes (log2(fold change) >0.5) are colored red, while the downregulated genes (log2(fold change) less than 0.5) are colored blue. (C) Gene Ontology analysis of the DEGs. The upregulated and downregulated DEGs are annotated. FDR <0.05 was considered significantly enriched. (D) Differences in hallmark pathway activities scored with GSVA. The t values calculated by a linear model are shown. (E) Differentiation trajectory of cancer cells colored for pseudotime. (F) TCGA LIHC patients were clustered into 3 clusters by ConsensusClusterPlus based on the expression of genes related to the cancer cell evolution states. (G) Kaplan–Meier survival curves for the patients in the 3 clusters. A log rank p value < 0.05 was considered statistically significant. (H) Heatmap of the AUC scores of the expression of transcription factors identified by SCENIC.