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February 2, 2026npj Precision Oncology0 citationsOpen Access

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

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PXPeng XiaSSShuang SiDFDaosen Fu

Key Points

  • To analyze the cellular ecosystems of hepatocellular carcinoma and identify potential therapeutic targets.
  • Integrated single-cell transcriptomics across various liver conditions and metastatic sites.
  • Spatial profiling to map cellular interactions within the tumor microenvironment.
  • Geneformer-based virtual knockout screening to identify essential dependencies.
  • Malignant hepatocytes categorized into four distinct transcriptional programs with different clinical outcomes.
  • Identification of HSP90B1 as a critical dependency associated with treatment resistance and poor prognosis.
  • Immunosuppressive cell populations expanded, correlating with tumor progression and therapeutic challenges.

Abstract

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.

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Cite This Study

Xia et al. (2026) studied this question.

synapsesocial.com/papers/6980fe57c1c9540dea81046dhttps://doi.org/10.1038/s41698-026-01307-2
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Single-Cell Transcriptomic Profiling Reveals Immunometabolic Reprogramming and Cell-Cell Communication in the Tumor Microenvironment of Human Hepatocellular Carcinoma2026
  2. 2Single-cell tumor heterogeneity landscape of hepatocellular carcinoma: unraveling the pro-metastatic subtype and its interaction loop with fibroblasts2024 · 75 citations
  3. 3Integrative Analysis of Single-Cell and Spatial Transcriptomics Reveals Intratumor Heterogeneity Shaping the Tumor Microenvironment in Hepatocellular Carcinoma2025
  4. 4Transcription Factor Networks Drive Tumor Progression and Immune Microenvironment Remodeling in Hepatocellular Carcinoma2025
  5. 5Transcription Factor Networks Drive Tumor Progression and Immune Microenvironment Remodeling in Hepatocellular Carcinoma2025