Uncoupling Metastasis and Epithelial‐to‐Mesenchymal Transition in sgP19/kRAS‐Driven Spontaneous Metastatic Liver Tumor Model

Epithelial-to-mesenchymal transition (EMT) is an early event during tumor metastasis. Here, the relevance of EMT in liver carcinogenesis and metastasis is sought to be determined in a murine mixed typical intrahepatic cholangiocarcinoma (iCCA)/sarcomatoid iCCA liver tumor model using CRISPR/Cas9-based gene deletion of p19 (sgP19) in combination with transposon-based expression of the activated form of pCaggs-kRAS<sup>G12D</sup> (kRAS) in the mouse liver (sgP19/kRAS mixed model). It discovered that metastasis in the lymph node, lung, or kidney occurred in the sgP19/kRAS mixed model. Both typical iCCA tumor cells with epithelial features and sarcomatoid tumor cells with mesenchymal features could be detected in this model. Lineage tracing technology is applied to confirm the metastasis induced in the sgP19/kRAS model. Subsequently, the gain of expression of mesenchymal marker vimentin in tumor cells revealed the induction of EMT in the sgP19/kRAS model, and it is induced by activating the TGFβ/ZEB1 signaling pathway. Altogether, the study suggests that TGFβ/ZEB1 mediates the induction of EMT in iCCA, while targeting EMT failed to inhibit iCCA development or tumor metastasis, disputing the claims that EMT is a major molecular event leading to tumor metastasis.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-12-07
DOI
https://doi.org/10.1002/advs.202514198
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncoupling Metastasis and Epithelial‐to‐Mesenchymal Transition in sgP19/kRAS‐Driven Spontaneous Metastatic Liver Tumor Model

Melissa Quino Reeves, Matthias Evert, Xinhua Song, Daphne Superville et al.
Advanced Science
Cancer Cells and Metastasis
article

Uncoupling Metastasis and Epithelial‐to‐Mesenchymal Transition in sgP19/kRAS‐Driven Spontaneous Metastatic Liver Tumor Model

Melissa Quino Reeves, Matthias Evert, Xinhua Song, Daphne Superville, Ji Geng, Diego F. Calvisi, Xin Chen, Xue Wang, Meng Xu, Zijing Xu, Jingwen Wang, Lishan Wang, Lei Xu
article en

Abstract

Epithelial-to-mesenchymal transition (EMT) is an early event during tumor metastasis. Here, the relevance of EMT in liver carcinogenesis and metastasis is sought to be determined in a murine mixed typical intrahepatic cholangiocarcinoma (iCCA)/sarcomatoid iCCA liver tumor model using CRISPR/Cas9-based gene deletion of p19 (sgP19) in combination with transposon-based expression of the activated form of pCaggs-kRAS<sup>G12D</sup> (kRAS) in the mouse liver (sgP19/kRAS mixed model). It discovered that metastasis in the lymph node, lung, or kidney occurred in the sgP19/kRAS mixed model. Both typical iCCA tumor cells with epithelial features and sarcomatoid tumor cells with mesenchymal features could be detected in this model. Lineage tracing technology is applied to confirm the metastasis induced in the sgP19/kRAS model. Subsequently, the gain of expression of mesenchymal marker vimentin in tumor cells revealed the induction of EMT in the sgP19/kRAS model, and it is induced by activating the TGFβ/ZEB1 signaling pathway. Altogether, the study suggests that TGFβ/ZEB1 mediates the induction of EMT in iCCA, while targeting EMT failed to inhibit iCCA development or tumor metastasis, disputing the claims that EMT is a major molecular event leading to tumor metastasis.

Advanced ScienceVol. 13(8)
University of Sassari (IT), University of Utah (US), Huntsman Cancer Institute (US), Cancer Center of Hawaii (US), Nanjing Drum Tower Hospital (CN), Second Affiliated Hospital of Xi'an Jiaotong University (CN), Beijing Hospital of Traditional Chinese Medicine (CN), Cell and Tissue Systems (United States) (US), University of Regensburg (DE)
Openalex Percentile: Top 46%
Cancer Cells and Metastasis
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.