Large-scale single-cell analysis and in silico perturbation reveal dynamic evolution of HCC: from initiation to therapeutic targeting.

Xia P, Shuang S, Fu D, Liu L, Yang D et al.
NPJ Precis Oncol 2026
Open on PubMed

The extensive intratumoral and microenvironmental heterogeneity of hepatocellular carcinoma (HCC) remains a major therapeutic barrier. Integrating single-cell transcriptomics samples spanning normal liver, primary tumors, portal vein tumor thrombus (PVTT), and metastatic lymph nodes (MLN) with spatial profiling, we systematically dissected cellular ecosystems driving HCC progression. Malignant hepatocytes segregated into four transcriptional meta-programs with divergent clinical trajectories: Diff-Metabolic, Prolif-Stress, MYC-Biosynth-Immune, and EMT-Inflammatory states. Diff-Metabolic cells retained liver-specific functions with favorable prognosis, whereas the other three programs correlated with disease advancement; notably, all four states exhibited differential therapeutic vulnerabilities, including sorafenib resistance. Within the tumor microenvironment, immunosuppressive Macro-SPP1 and Macro-TREM2 populations expanded during tumor progression. Spatial mapping revealed organized stromal territories where Endo-ESM1 endothelial cells and Fib-POSTN/Fib-CD36 fibroblasts establish TGFβ-enriched niches spatially correlating with Prolif-Stress and EMT-Inflammatory tumor cells, linking stromal architecture to malignant phenotypes. Endothelial-fibroblast crosstalk intensified through extracellular matrix and angiogenic signaling during progression. Geneformer-based virtual knockout screening identified HSP90B1 as a convergent dependency, validated by its cancer cell essentiality, HCC overexpression, abundance in treatment-resistant tumors, and association with adverse survival. This integrated atlas establishes a framework for targeting tumor-intrinsic states and microenvironmental dependencies in HCC.

8 Figures Extracted
Fig. 1
Fig. 1 PMC
Single-cell profiling of cellular dynamics across HCC progression. A Schematic of study design (created by biorender). B Dot plot of lineage-specif...
Fig. 2
Fig. 2 PMC
cNMF analysis identifies meta-programs underlying HCC malignant cell heterogeneity. A Hierarchical clustering heatmap of 15 GEPs revealing 4 MPs. B ...
Fig. 3
Fig. 3 PMC
Transcriptional heterogeneity and state-specific therapeutic vulnerabilities of malignant cells. A Heatmap of transcription factor activities across ...
Fig. 4
Fig. 4 PMC
Myeloid cell landscape reveals functionally divergent macrophage subpopulations. A UMAP projection of six major myeloid cell types: macrophages, clas...
Fig. 5
Fig. 5 PMC
Endothelial and fibroblast heterogeneity in HCC. A UMAP of endothelial subclustering identifying 13 distinct subsets. B Dot plot of marker gene exp...
Fig. 6
Fig. 6 PMC
Intercellular communication in HCC tumor microenvironment. A Global interaction mapping showing endothelial cells and fibroblasts exhibit high incomi...
Fig. 7
Fig. 7 PMC
Spatial organization of HCC tumor microenvironment. Cell2location deconvolution of HCC-1T ( A ) and HCC-2T ( B ). Spatial distribution of key cell sub...
Fig. 8
Fig. 8 PMC
Identification of HSP90B1 as a therapeutic target in HCC. A Virtual knockout experiments using Geneformer across three cell state transitions (Macro-...