Src Regulates Actin Dynamics and Invasion of Malignant Glial Cells in Three Dimensions
Why this work is in the frame
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Bibliographic record
Abstract
Malignant glioma is the major brain tumor in adults and has a poor prognosis. The failure to control invasive cell subpopulations may be the key reason for local glioma recurrence after radical tumor resection and may contribute substantially to the failure of the other treatment modalities such as radiation therapy and chemotherapy. As a model for this invasion, we have implanted spheroids from a human glioma cell line (U251) in three-dimensional collagen type I matrices, which these cells readily invade. We first observed that the Src family kinase-specific pharmacologic inhibitors PP2 and SU6656 significantly inhibited the invasion of the cells in this assay. We confirmed this result by showing that expression of two inhibitors of Src family function, dominant-negative-Src and CSK, also suppressed glioma cell invasion. To characterize this effect at the level of the cytoskeleton, we used fluorescent time-lapse microscopy on U251 cells stably expressing a YFP-actin construct and observed a rapid change in actin dynamics following addition of PP2 in both two-dimensional and three-dimensional cultures. In monolayer cultures, PP2 caused the disappearance of peripheral membrane ruffles within minutes. In three-dimensional cultures, PP2 induced the loss of actin bursting at the leading tip of the invadopodium. The inhibition of Src family activity is thus a potential therapeutic approach to treat highly invasive malignant glioma.
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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 it