Key Takeaways & Executive Findings
- •• Single-cell RNA sequencing reveals extensive intratumoral heterogeneity in hepatocellular carcinoma, with multiple malignant cell subpopulations exhibiting distinct transcriptional programs. • A specific cancer-associated fibroblast (CAF) subset with high matrix remodeling activity is associated with poor clinical outcomes. • Cell-cell communication analysis uncovers TGF-β and CXCL signaling as key mediators of immunosuppressive crosstalk in the tumor microenvironment. • Integration of transcriptomic data identifies candidate transcription factors and therapeutic targets that may be exploited for precision oncology.
Abstract
Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy with a complex tumor microenvironment (TME) that profoundly influences disease progression and therapeutic response. Here, we perform single-cell RNA sequencing (scRNA-seq) on tumor and adjacent non-tumor tissues from HCC patients to dissect the cellular landscape and transcriptional programs underlying intratumoral heterogeneity. We identify distinct malignant cell subpopulations with varying degrees of differentiation and proliferation, and characterize their interactions with immune and stromal cells. Notably, we uncover a subset of cancer-associated fibroblasts (CAFs) that exhibit high expression of extracellular matrix remodeling genes and are associated with poor prognosis. Furthermore, we reveal dynamic changes in cell-cell communication networks, particularly involving TGF-β and CXCL signaling, that may drive immunosuppression and tumor progression. Our integrative analysis also identifies potential transcription factors that regulate malignant cell states and highlights novel therapeutic targets. These findings provide a comprehensive resource for understanding HCC biology and may inform precision medicine approaches.
1. Introduction
Hepatocellular carcinoma (HCC) is the most common primary liver cancer and a leading cause of cancer-related mortality worldwide. Despite advances in surgical resection, liver transplantation, and systemic therapies, the prognosis for advanced HCC remains poor, largely due to the high degree of intratumoral heterogeneity and the complex interplay between cancer cells and the surrounding tumor microenvironment (TME). The TME comprises a diverse array of immune cells, cancer-associated fibroblasts (CAFs), endothelial cells, and extracellular matrix components, which collectively influence tumor growth, invasion, and therapeutic resistance. Understanding the cellular composition and transcriptional programs within the TME is crucial for identifying novel biomarkers and therapeutic targets.
Recent advances in single-cell RNA sequencing (scRNA-seq) have enabled high-resolution dissection of the cellular heterogeneity in various cancers, including HCC. However, comprehensive analyses that integrate malignant cell states with the surrounding microenvironment are still limited. In this study, we perform scRNA-seq on tumor and adjacent non-tumor tissues from HCC patients to characterize the cellular landscape and transcriptional regulatory networks. Our findings reveal distinct malignant cell subpopulations, a prognostically relevant CAF subset, and key signaling pathways that mediate cell-cell communication. These results provide a deeper understanding of HCC biology and may guide the development of personalized therapeutic strategies.
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Research Group (2025). Comprehensive Analysis of Cellular Heterogeneity and Transcriptional Regulation in the Tumor Microenvironment of Hepatocellular Carcinoma. Chinese Journal of New Drugs. https://doi.org/cast_zgxyzz_1236731780020097358
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Frequently Asked Questions
What is the main focus of this study?
This study uses single-cell RNA sequencing to dissect the cellular heterogeneity and transcriptional programs in the tumor microenvironment of hepatocellular carcinoma, identifying distinct malignant cell subpopulations and a prognostically relevant cancer-associated fibroblast subset.
How was single-cell RNA sequencing utilized?
Single-cell RNA sequencing was performed on tumor and adjacent non-tumor tissues from HCC patients to profile the transcriptomes of individual cells, enabling the identification of cell types, states, and interactions.
What are the key findings regarding cancer-associated fibroblasts?
We identified a subset of cancer-associated fibroblasts with high expression of extracellular matrix remodeling genes that is associated with poor prognosis, suggesting a role in tumor progression.
What signaling pathways are highlighted in the study?
Cell-cell communication analysis revealed TGF-β and CXCL signaling as key mediators of immunosuppressive crosstalk in the tumor microenvironment.
What are the potential clinical implications?
The study provides a comprehensive resource for understanding HCC biology and identifies candidate transcription factors and therapeutic targets that may inform precision medicine approaches.
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