Venous endothelial remodeling mediated by MARCKS promotes angiogenesis and tumor progression in hepatocellular carcinoma: insights from single-cell RNA sequencing

Background Hepatocellular carcinoma (HCC) is characterized by pronounced heterogeneity and extensive angiogenesis. However, anti-angiogenic therapies often show limited clinical benefit due to therapeutic resistance. Understanding endothelial cell heterogeneity and identifying key regulators of tumor angiogenesis are therefore essential for improving treatment strategies. Methods We integrated multiple single-cell RNA sequencing (scRNA-seq) datasets to systematically characterize endothelial cell heterogeneity in the HCC microenvironment. Based on genes enriched in venous endothelial cells, we developed a prognostic risk model termed the Vein Endothelial-related Risk Scores (VERS). The functional role of the key gene MARCKS was further evaluated using in vitro assays and in vivo xenograft models. Results Venous endothelial cells (VenECs) were identified as key initiators of tumor angiogenesis in HCC. Among the VERS genes, MARCKS emerges as a robust predictor of poor clinical outcome. Functional assays reveal that MARCKS knockdown impairs endothelial cell proliferation, migration and invasion, and attenuates the pro-tumorigenic effects of endothelial-conditioned media. In vivo , MARCKS silencing significantly suppresses tumor growth and vascularization. Discussion Our findings reveal a critical role for venous endothelial cells in HCC angiogenesis and identify MARCKS as a potential therapeutic target, providing molecular insights for precision oncology in HCC.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2026-03-12
DOI
https://doi.org/10.3389/fimmu.2026.1734982
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Venous endothelial remodeling mediated by MARCKS promotes angiogenesis and tumor progression in hepatocellular carcinoma: insights from single-cell RNA sequencing

Jihui Huo, Yutong Zhao, Changxuan Wang, Minjin Zhan et al.
Frontiers in Immunology
Single-cell and spatial transcriptomics
article

Venous endothelial remodeling mediated by MARCKS promotes angiogenesis and tumor progression in hepatocellular carcinoma: insights from single-cell RNA sequencing

Jihui Huo, Yutong Zhao, Changxuan Wang, Minjin Zhan, Qifa Zhou, Kai Lei
article en

Abstract

Background Hepatocellular carcinoma (HCC) is characterized by pronounced heterogeneity and extensive angiogenesis. However, anti-angiogenic therapies often show limited clinical benefit due to therapeutic resistance. Understanding endothelial cell heterogeneity and identifying key regulators of tumor angiogenesis are therefore essential for improving treatment strategies. Methods We integrated multiple single-cell RNA sequencing (scRNA-seq) datasets to systematically characterize endothelial cell heterogeneity in the HCC microenvironment. Based on genes enriched in venous endothelial cells, we developed a prognostic risk model termed the Vein Endothelial-related Risk Scores (VERS). The functional role of the key gene MARCKS was further evaluated using in vitro assays and in vivo xenograft models. Results Venous endothelial cells (VenECs) were identified as key initiators of tumor angiogenesis in HCC. Among the VERS genes, MARCKS emerges as a robust predictor of poor clinical outcome. Functional assays reveal that MARCKS knockdown impairs endothelial cell proliferation, migration and invasion, and attenuates the pro-tumorigenic effects of endothelial-conditioned media. In vivo , MARCKS silencing significantly suppresses tumor growth and vascularization. Discussion Our findings reveal a critical role for venous endothelial cells in HCC angiogenesis and identify MARCKS as a potential therapeutic target, providing molecular insights for precision oncology in HCC.

Frontiers in ImmunologyVol. 17
Sun Yat-sen University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
No poverty
Openalex Percentile: Top 24%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.