Mechanical stress and caveolin-1 control the release of extracellular vesicles with increased tumorigenic properties
Bibliographic record
Abstract
Abstract Mechanical forces within the tumor microenvironment critically influence cancer progression, in part by modulating extracellular vesicle (EV) dynamics. However, the molecular mechanisms by which EVs respond to mechanical cues remain poorly understood. Here, we identify caveolin-1 (Cav1), a core structural component of caveolae, specialized membrane invaginations that act as mechanosensors, as a key regulator of EV release and composition under mechanical stress. We demonstrate that both 2D osmotic shock and 3D mechanical compression significantly enhance EV secretion from cancer cells in a Cav1-dependent manner. These EVs exhibit a distinct lipid profile and are selectively enriched in proteins involved in cell adhesion, motility, wound healing and extracellular matrix remodeling, cargo that is lost upon Cav1 deletion. Functionally, EVs secreted from mechanically stressed cells preferentially accumulate in the liver in vivo and promote breast cancer cell migration and invasion in vitro , effects abolished in the absence of Cav1. Together, these findings reveal a previously unrecognized role for Cav1 in coupling mechanical stress to EV biogenesis and cargo loading, thereby promoting metastatic traits. This study underscores a novel mechanism by which mechanical cues within tumor environment regulate EV-mediated communication and suggests that Cav1-enriched EVs may contribute to pre-metastatic niche formation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".