Identification of cancer-associated fibroblasts and analysis of the association of origin with endothelial-to-mesenchymal transition in hepatocellular carcinoma

ECs that undergo EndoMT may be one of the potential cellular and mechanical origins of CAFs in HCC, and the development of EndoMT may be associated with CTGF.

Authors

Institutions

Publication Details

Journal
Scandinavian Journal of Gastroenterology
Published
2025-11-30
DOI
https://doi.org/10.1080/00365521.2025.2594783
Primary Topic
Connective Tissue Growth Factor Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of cancer-associated fibroblasts and analysis of the association of origin with endothelial-to-mesenchymal transition in hepatocellular carcinoma

Zhe Xu, Kun Guo, Liming Wang, Qiuxiang Wang et al.
Scandinavian Journal of Gastroenterology
Connective Tissue Growth Factor Research
article

Identification of cancer-associated fibroblasts and analysis of the association of origin with endothelial-to-mesenchymal transition in hepatocellular carcinoma

Zhe Xu, Kun Guo, Liming Wang, Qiuxiang Wang, Zeli Yin
article en

Abstract

ECs that undergo EndoMT may be one of the potential cellular and mechanical origins of CAFs in HCC, and the development of EndoMT may be associated with CTGF.

Scandinavian Journal of GastroenterologyVol. 61(1)
Dalian Medical University (CN), Second Affiliated Hospital of Dalian Medical University (CN), University of Hong Kong - Shenzhen Hospital (CN)
Openalex Percentile: Top 66%
Connective Tissue Growth Factor Research
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.