Von Willebrand Factor Synergizes with Tumor-Derived Extracellular Vesicles to Promote Gastric Cancer Metastasis
Wang, C.; Wang, M.; Cai, W.; Zhao, C.; Zhou, Q.; Zhang, X.-y.; Li, F.-x.; Zhang, C.-l.; Dang, Y.; Yang, A.-j.; Dong, J.; Li, M.
Show abstract
Cells of gastric cancer invade local tissue extensively and also metastasize through the circulation to remote organs. Patients with metastasized gastric cancer have poor outcomes. Cancer cells are known to release extracellular vesicles (EVs) that contribute to cancer progression, but how cancer cell-derived EVs promote cancer growth and metastasis remains poorly understood. We have recently reported that levels of circulating gastric cancer cell-derived EVs (gcEVs) and the adhesive ligand von Willebrand factor (VWF) are associated with cancer metastasis and poor prognosis of patients, but the underlying mechanism of this gcEV-VWF interaction was not known. Here we report results from a study designed to investigate the synergistic action of VWF and gcEVs in vitro and in mouse models. We showed that VWF in cancer-bearing mice was hyperadhesive and became microvesicle-bound. EV-bound VWF mediated the adhesion of gcEVs to the endothelium to disrupt endothelial integrity and facilitate the transendothelial migration of cancer cells and pulmonary metastasis. Reducing VWF adhesive activity by the metalloprotease ADAMTS-13 or promoting gcEV clearance by the scavenging factor lactadherin prevented pulmonary metastasis in mice. These results highlight the synergistic action of gcEVs and VWF in promoting gastric cancer metastasis and identifying new targets for its prevention. Key point: Author contributionsO_LIHyperadhesive VWF becomes microvesicle-bound to induce endothelial leakage and promote the pulmonary metastasis of gastric cancer in mice. C_LIO_LIReducing VWF activity by ADAMTS-13 and accelerating microvesicle clearance by lactadherin reduces pulmonary metastasis of gastric cancer. C_LI
Matching journals
The top 13 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Tumor-educated Gr1+CD11b+ cells instigate breast cancer metastasis by twisting cancer cells plasticity via OSM/IL6-JAK signaling 93%
- Multiomic Profiling Reveals Metabolic Alterations Mediating Aberrant Platelet Activity and Inflammation in Myeloproliferative Neoplasms 92%
- An endothelial SOX18-mevalonate pathway axis enables repurposing of statins for infantile hemangioma 92%
Similar papers in this journal
- Vascularized tumor on a microfluidic chip to study mechanisms promoting tumor neovascularization and vascular targeted therapies 92%
- Extracellular vesicles induce aggressive lung cancervia non-canonical integrin-EGFR-KRAS signaling 92%
- Signatures of EMT, immunosuppression and inflammation of primary and recurrent human cutaneous squamous cell carcinoma at single-cell resolution 91%
Similar papers in this journal
- SARS-CoV-2-Triggered Mast Cell Rapid Degranulation Induces Alveolar Epithelial Inflammation and Lung Injury 92%
- Coagulation factors and COVID-19 severity: Mendelian randomization analyses and supporting evidence 91%
- ACE2-Targeting Monoclonal Antibody as Potent and Broad-Spectrum Coronavirus Blocker 90%
Similar papers in this journal
- Stabilization of E-cadherin adhesions by COX-2/GSK3β signaling is a targetable pathway in metastatic breast cancer 94%
- Ddr1-Induced Neutrophil Extracellular Traps Drive Pancreatic Cancer Metastasis 94%
- PI3Kγ promotes neutrophil extracellular trap formation by noncanonical pyroptosis in abdominal aortic aneurysm 93%
Similar papers in this journal
- Altered fibrin clot structure contributes to thrombosis risk in severe COVID-19 92%
- The unconventional Myosin-1C augments endothelial secretion of von Willebrand factor by linking contractile actomyosin machinery to the plasma membrane 91%
- Antithrombotic Efficacy and Bleeding Risks of Vaccine-Induced Immune Thrombotic Thrombocytopenia Treatments 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.