Extracellular Vesicles Secreted by Cancer‐Associated Fibroblasts Drive Non‐Invasive Cancer Cell Progression to Metastasis via TGF‐β Signalling Hyperactivation

Metastasis is the leading cause of cancer-related deaths. Cancer-associated fibroblasts (CAFs) are abundant components within the tumour microenvironment, playing critical roles in metastasis. Although increasing evidence supports a role for small extracellular vesicles (sEVs) in this process, their precise contribution and molecular mechanisms remain unclear, compromising the development of antimetastatic therapies. Here, we establish that CAF-sEVs drive metastasis by mediating CAF-cancer cell interaction and hyperactivating TGF-β signalling in tumour cells. Metastasis is abolished by genetically targeting CAF-sEV secretion and consequent reduction of TGF-β signalling in cancer cells. Pharmacological treatment with dimethyl amiloride (DMA) decreases CAFs' sEV secretion, reduces TGF-β signalling levels in tumour cells and abrogates metastasis and tumour self-seeding. This work defines a new mechanism required by CAFs to drive cancer progression, supporting the therapeutic targeting of EV trafficking to disable the driving forces of metastasis.

Authors

Institutions

Publication Details

Journal
Journal of Extracellular Vesicles
Published
2025-03-01
DOI
https://doi.org/10.1002/jev2.70055
Citations
10
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
8.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extracellular Vesicles Secreted by Cancer‐Associated Fibroblasts Drive Non‐Invasive Cancer Cell Progression to Metastasis via TGF‐β Signalling Hyperactivation

Peter ten Dijke, Hong‐Jian Zhu, Adilson Fonseca Teixeira, Josie Iaria et al.
10 citations
Journal of Extracellular Vesicles
Extracellular vesicles in disease
8.06
article

Extracellular Vesicles Secreted by Cancer‐Associated Fibroblasts Drive Non‐Invasive Cancer Cell Progression to Metastasis via TGF‐β Signalling Hyperactivation

Peter ten Dijke, Hong‐Jian Zhu, Adilson Fonseca Teixeira, Josie Iaria, Yanhong Wang
article en
10 citations

Abstract

Metastasis is the leading cause of cancer-related deaths. Cancer-associated fibroblasts (CAFs) are abundant components within the tumour microenvironment, playing critical roles in metastasis. Although increasing evidence supports a role for small extracellular vesicles (sEVs) in this process, their precise contribution and molecular mechanisms remain unclear, compromising the development of antimetastatic therapies. Here, we establish that CAF-sEVs drive metastasis by mediating CAF-cancer cell interaction and hyperactivating TGF-β signalling in tumour cells. Metastasis is abolished by genetically targeting CAF-sEV secretion and consequent reduction of TGF-β signalling in cancer cells. Pharmacological treatment with dimethyl amiloride (DMA) decreases CAFs' sEV secretion, reduces TGF-β signalling levels in tumour cells and abrogates metastasis and tumour self-seeding. This work defines a new mechanism required by CAFs to drive cancer progression, supporting the therapeutic targeting of EV trafficking to disable the driving forces of metastasis.

Journal of Extracellular VesiclesVol. 14(3)
The Royal Melbourne Hospital (AU), The University of Melbourne (AU), Leiden University Medical Center (NL), Oncode Institute (NL)
Australian National Fabrication Facility, Cancer Genomics Centre, Medical Research Council, National Health and Medical Research Council
Good health and well-being
Openalex Percentile: Top 2%
Extracellular vesicles in disease
8.06
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.