Raf-induced MMP9 disrupts tissue architecture of human breast cells in three-dimensional culture and is necessary for tumor growth in vivo
Bibliographic record
Abstract
Organization into polarized three-dimensional structures defines whether epithelial cells are normal or malignant. In a model of morphogenesis, we show that inhibiting key signaling pathways in human breast cancer cells leads to "phenotypic reversion" of the malignant cells. Using architecture as an endpoint, we report that, in all cases, signaling through Raf/MEK/ERK disrupted tissue polarity via matrix metalloproteinase9 (MMP9) activity. Induction of Raf or activation of an engineered, functionally inducible MMP9 in nonmalignant cells led to loss of tissue polarity, and reinitiated proliferation. Conversely, inhibition of Raf or MMP9 with small molecule inhibitors or shRNAs restored the ability of cancer cells to form polarized quiescent structures. Silencing MMP9 expression also reduced tumor growth dramatically in a murine xenograft model. LC-MS/MS analysis comparing conditioned medium from nonmalignant cells with or without active MMP9 revealed laminin 111 (LM1) as an important target of MMP9. LM1 has been implicated in acinar morphogenesis; thus, its degradation by MMP9 provides a mechanism for loss of tissue polarity and reinitiation of growth associated with MMP9 activity. These findings underscore the importance of the dynamic reciprocity between the extracellular matrix integrity, tissue polarity, and Raf/MEK/ERK and MMP9 activities, providing an axis for either tissue homeostasis or malignant progression.
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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 | 0.000 | 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".