Bibliographic record
Abstract
Melanoma cells recruit host tissue to become a part of the activated tumour stroma. This stromal microenvironment is similar to that seen in fibrotic tissue. CCN1 and CCN2 are tightly spatiotemporally regulated matricellular proteins involved in development and wound healing, and are abberantly expressed in fibrosis. Additionally they have been seen to be abnormally highly expressed in several cancers, including melanoma. Recent evidence has shown that deletion of CCN2 in the fibroblasts renders mice resistant to several models of fibrosis. Given this, I tested the hypothesis that deletion of CCN1 and CCN2 from fibroblasts could similarly impede the formation of the activated stromal microenvironment in melanoma. I used B16F(10) murine melanoma cells and syngeneic C57 BL6 mice with a tamoxifen-dependent conditional deletion of CCN1 or CCN2 in their fibroblasts. First I determined that loss of CCN2 in the fibroblasts prevents the metastasis of melanoma to the lungs of the mice, while loss of CCN2 in the tumour alone does not. Second I determined that loss of CCN2 from the fibroblasts prevented the expression of myofibroblast marker α SMA and reduced the expression of pluripotency marker SOX2. This loss of CCN2 was accompanied by a reduced tumour vascularisation, and a reduction in tumour cell vasculogenic mimicry. Finally I determined that loss of CCN1 in the fibroblasts results in highly disorganized collagen in the skin, which results in reduced metastasis of the melanoma cells. These observations were supported by in vitro experiments showing that deletion of CCN1 or CCN2 from melanoma cells reduce their ability to invade through a collagen basement membrane, and that deletion of CCN2 impedes the ability of melanoma cells to form tubule networks in nutrient-deficient environments. The results presented here suggest that CCN1 and CCN2 in the stromal microenvironment mediate the metastasis of melanoma through different mechanisms, with CCN2 being required for the activated stromal microenvironment and tumour vascularisation, and CCN1 being required for formation of a stiff and organized collagen network that facilitates tumour cell invasion, and thus they might both present novel targets for therapies to improve patient outcome.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".