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Extracellular vesicles (EVs) play a pivotal role in intercellular communication and are closely linked to cancer progression and metastasis. Our previous studies have shown that gastric cancer cell-derived EVs can promote tumor metastasis by increasing the permeability of the endothelial barrier. However, it remains unclear which effector molecule in the EV structure is the key factor of EV-mediated tumor metastasis and the underlying molecular mechanism. In this study, we found that CD147 is a key molecule highly expressed in gastric cancer-derived EVs and confirmed the role of CD147-high EVs from gastric cancer cells in promoting endothelial dysfunction and tumor metastasis. Our results showed that CD147-high EVs activated the VEGF/AKT/eNOS/NO and AKT/mTOR/p70S6K signaling pathways, leading to endothelial cytoskeletal reorganization and internalization of VE-cadherin, which significantly compromised endothelial barrier integrity, increased vascular leakage, enhanced transendothelial migration of tumor cell, and promoted the formation of metastatic tumors. Furthermore, detection of CD147 levels in gastric cancer tissues and plasma EVs indicated that high CD147 expression was associated with advanced tumor stage, poor prognosis, and reduced survival. Our findings suggest that CD147-high EVs are critical mediators of tumor-endothelial interactions and potential diagnostic and prognostic biomarkers for gastric cancer. Their potential as therapeutic targets for gastric cancer is underscored. This figure illustrates the proposed mechanism by which CD147-high gcEVs promote tumor metastasis. CD147-high EVs are released from gastric cancer cells and interact with endothelial cells in the tumor microenvironment. Upon uptake by endothelial cells, CD147-high gcEVs activate the key signaling pathways, including the VEGF/AKT/eNOS/NO and AKT/mTOR/p70S6K pathway, which collectively facilitate the metastatic potential of gastric cancer cells by promoting endothelial cell dysfunction and increasing vascular permeability.
Pubmed ID: 40541935
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An annotation program which aims to provide high-quality Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB) and International Protein Index (IPI). It is a central dataset for other major multi-species databases, such as Ensembl and NCBI. Because of the multi-species nature of the UniProtKB, UniProtKB-GOA assists in the curation of 200,000 species. This involves electronic annotation and the integration of high-quality manual GO annotation from all GO Consortium model organism groups and specialist groups. Gene Association Files can be accessed from the Downloads section of the website.
View all literature mentionsCommercial instrument and chemical vendor. Developer and manufacturer of specialized technological products for life science research and clinical diagnostics markets.
View all literature mentionsCommercial vendor and service provider of laboratory reagents and antibodies. Supplier of scientific instrumentation, reagents and consumables, and software services.
View all literature mentionsIntegrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
View all literature mentionsA commercial antibody supplier which supplies primary and secondary antibodies, biochemicals, proteins, peptides, lysates, immunoassays and other kits.
View all literature mentionsA quantitative proteomics software package for analyzing large-scale mass-spectrometric data sets. It is a set of algorithms that include peak detection and scoring of peptides, mass calibration, database searches for protein identification, protein quantification, and provides summary statistics.
View all literature mentionsOpen source software package for statistical programming language R to create plots based on grammar of graphics. Used for data visualization to break up graphs into semantic components such as scales and layers.
View all literature mentionsMus musculus with name BALB/cAnN-Foxn1nu/nu/Rj from IMSR.
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