CD44 regulates cell migration in human colon cancer cells via Lyn kinase and AKT‐phosphorylation
Bibliographic record
Abstract
CD44, an adhesion and antiapoptotic molecule is overexpressed in colon cancer, in the context of cofilin modulation. In the present study, we investigated how CD44 might modulate colon cancer cell migration via cofilin. We used a human cell line, HT29, which highly expresses CD44, HT29 where CD44 expression was knocked down by siRNA, SW620, a colon cancer cell line which does not express CD44, stably transfected exons of CD44 in SW620 cells, and the colon from CD44 knockout and wild type mice. Western blot analysis of siRNA CD44 lysates showed increased level of AKT phosphorylation and decreased level of cofilin expression. Similar results were also observed with SW620 cells and CD44 knock out mouse colon lysates. Experiments using the AKT phosphorylation inhibitor, LY294002, showed that AKT phosphorylation downregulates cofilin. Immunoprecipitation studies showed CD44 complex formation with Lyn, providing a link between CD44 and AKT phosphorylation. LY294002 also stabilized Lyn from phosphorylated AKT. Immunocytochemistry showed that cofilin and Lyn expression were decreased in siRNA CD44 cells and CD44 knockout mouse colon. siRNA CD44 cells had significantly less migration compared to HT29 vector. These data indicate that CD44 induced cell migration is dependent on CD44 complex formation with Lyn and its consequent regulation of AKT phosphorylation and cofilin expression.
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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 | 0.001 | 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".