Surgical Stress Promotes the Development of Cancer Metastases by a Coagulation-Dependent Mechanism in a Murine Model
Bibliographic record
Abstract
Surgery precipitates a hypercoagulable state and has been shown to increase the development of cancer metastases in animal models, however mechanism(s) responsible for this are largely unknown. We hypothesize that the prometastatic effect of surgery may be secondary to postoperative hypercoagulable state. Surgical stress was induced in mice by partial hepatectomy or nephrectomy, preceded by intravenous injection of CT26-LacZ or B16F10-LacZ cells to establish pulmonary metastases with or without perioperative anticoagulation and their lung tumor cell emboli (TCE) were quantified. Fibrinogen and platelets were fluorescently labeled prior to surgical stress to evaluate TCE-associated fibrin and platelet clots. Surgery significantly increased metastases while anticoagulation with five different agents attenuated this effect. Fibrin and platelet clots were associated with TCE significantly more frequently in surgically stressed mice. Surgery promotes the formation of fibrin and platelet clots around TCE and this appears to be the mechanism for the increase in metastases seen following surgery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".