Ligand-dependent Wnt signaling promotes gastric cancer metastasis through hyaluronan expression in microenvironment

The majority of gastric cancer cells proliferate in a Wnt ligand-dependent manner. To investigate this, we generated mice harboring Kras, Tgfbr2, and Trp53 (KTP) as well as with the same mutations plus Wnt1 expression (WKTP) in gastric mucosa. While KTP mice develop gastric metaplasia, WKTP mice develop dysplastic tumors, highlighting the role of ligand-dependent Wnt signaling in primary tumorigenesis. Organoids derived from WKTP mice form liver metastases following splenic transplantation, whereas KTP organoids do not. Notably, Apc disruption fails to induce metastasis of KTP cells, suggesting that stromal Wnt signaling promotes metastasis. Mechanistically, tumor-derived Wnt ligands cooperate with TGFβ signaling to induce Has2 expression in cancer-associated fibroblasts (CAFs), leading to hyaluronan accumulation in the metastatic microenvironment. Strikingly, hyaluronidase expression in WKTP cells significantly suppresses liver metastasis. Here we show the critical role of ligand-dependent Wnt signaling and Has2-mediated hyaluronan deposition in metastasis, offering potential therapeutic strategy against gastric cancer metastasis.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-02-14
DOI
https://doi.org/10.1038/s41467-026-69470-5
Primary Topic
Wnt/β-catenin signaling in development and cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ligand-dependent Wnt signaling promotes gastric cancer metastasis through hyaluronan expression in microenvironment

Yuichiro Furutani, Kazuhiro Murakami, Ryosuke Machi, Daichi Maeda et al.
Nature Communications
Wnt/β-catenin signaling in development and cancer
article

Ligand-dependent Wnt signaling promotes gastric cancer metastasis through hyaluronan expression in microenvironment

Yuichiro Furutani, Kazuhiro Murakami, Ryosuke Machi, Daichi Maeda, Akira Ooshima, Yukinobu Ito, Shintaro Yagi, M. Nakayama, Noriyuki Inaki, Chang Pyo Hong, Nick Barker, SeonJu Choi
article en

Abstract

The majority of gastric cancer cells proliferate in a Wnt ligand-dependent manner. To investigate this, we generated mice harboring Kras, Tgfbr2, and Trp53 (KTP) as well as with the same mutations plus Wnt1 expression (WKTP) in gastric mucosa. While KTP mice develop gastric metaplasia, WKTP mice develop dysplastic tumors, highlighting the role of ligand-dependent Wnt signaling in primary tumorigenesis. Organoids derived from WKTP mice form liver metastases following splenic transplantation, whereas KTP organoids do not. Notably, Apc disruption fails to induce metastasis of KTP cells, suggesting that stromal Wnt signaling promotes metastasis. Mechanistically, tumor-derived Wnt ligands cooperate with TGFβ signaling to induce Has2 expression in cancer-associated fibroblasts (CAFs), leading to hyaluronan accumulation in the metastatic microenvironment. Strikingly, hyaluronidase expression in WKTP cells significantly suppresses liver metastasis. Here we show the critical role of ligand-dependent Wnt signaling and Has2-mediated hyaluronan deposition in metastasis, offering potential therapeutic strategy against gastric cancer metastasis.

Nature CommunicationsVol. 17(1)
Kanazawa University (JP), Agency for Science, Technology and Research (SG), National University of Singapore (SG), Life Science Institute (JP), Institute of Molecular and Cell Biology (SG)
Good health and well-being
Openalex Percentile: Top 56%
Wnt/β-catenin signaling in development and cancer
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.