Targeted Knockdown of Tissue Factor in B16F10 Melanoma Cells suppresses their Ability to Metastasize to Bone and cause cancellous Bone Loss
Bibliographic record
Abstract
In this study, we use a well-defined mouse model to examine tissue factor's (TF) role in osteolytic bone metastasis. C57BL/6 mice received either mock siRNA-transfected or TF-specific siRNA-transfected B16F10 melanoma cells by left ventricular injection. A third group served as an age-matched control and did not receive any tumour cells. The effect on tumour burden and bone strength was then determined 14 days later by using bone histomorphometry and biomechanical testing. Based on histomorphometric analysis of the femurs, mice receiving TF-specific siRNA-transfected tumour cells had significantly reduced tumour burden as compared to those from mice that received mock siRNA-transfected tumour cells (2.20 ± 0.58% vs. 9.18 ± 2.20%). Furthermore, the femurs from mice receiving TF siRNA-transfected tumour cells displayed decreased osteoclast surface and consequently, increased cancellous bone volume and strength when compared to those isolated from mice that were injected with mock-transfected tumour cells. More importantly, no differences in osteoclast surface or cancellous bone volume and strength were observed when the femurs of mice that received TF siRNA-transfected tumour cells were compared to control mice that did not receive tumour cells. Based on these findings, we conclude that the expression of TF by tumour cells promotes their ability to metastasize to bone, thereby facilitating tumour cell—induced cancellous bone loss.
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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) | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".