Myopodin isoforms alter the chemokinetic response of PC3 cells in response to different migration stimuli via differential effects on Rho-ROCK signaling pathways
Bibliographic record
Abstract
The gene encoding myopodin, an actin binding protein, is commonly deleted in invasive, but not in indolent, prostate cancers. There are conflicting reports on the effects of myopodin expression on prostate cancer cell migration and invasion. The recent recognition that myopodin is expressed as four different isoforms further complicates our understanding of how this potentially important invasive prostate cancer biomarker affects tumor cell migration and invasion. We now show that myopodin affects the chemokinetic, rather than the chemotactic, properties of PC3 prostate cancer cells. Furthermore, all myopodin isoforms can either increase or decrease PC3 cell migration in response to different chemokinetic stimuli. These migration properties were reflected by differences in cell morphology and the relative dependence on Rho-ROCK signaling pathways induced by the environmental stimuli. Truncation analysis determined that a unique 9-residue C-terminal sequence in the shortest isoform and the conserved, PDZ domain-containing N-terminal region of the long isoforms both contribute to the ability of myopodin to alter the response of PC3 cells to chemokinetic stimuli. Matrigel invasion assays also indicated that myopodin primarily affects the migration, rather than the invasion, properties of PC3 cells. The correlation between loss of myopodin expression and invasive prostate cancer therefore reflects complex myopodin interactions with pathways that regulate the cellular migration response to diverse signals that may be present in a tumor microenvironment.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".