ROCK (Rho-kinase) protein inhibitors decrease malignant glioma invasion
Bibliographic record
Abstract
A key reason for malignant glioma recurrence after radical tumor resection is the failure to control individual invading tumor cells that have moved away from the primary tumor mass. The purpose of this study was to assess the role of ROCK (Rho-kinase), a signaling protein in the Rho GTPase pathway, in malignant glioma invasion in a three-dimensional model system. Primary glioblastoma (GBM) explants or multicellular spheroids were implanted into a three-dimensional collagen type I matrix. Individual tumor cells detached from the explants or spheroids and invaded the matrix, or invaded human fetal astrocyte spheroids. Treatment of implanted spheroids or explants with selective pharmacological inhibitors of ROCK was found to significantly decrease invasion. Inhibition of ROCK did not affect glioma cell or human astrocyte survival or proliferation. The identification of the Rho/ROCK pathway as being important for glioma cell invasion might be of therapeutic value in treating highly invasive glioblastoma.
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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 | 0.000 | 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) | 0.002 | 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".