Filamin a binds deleted in liver cancer 1 (DLC1) to promote its tumor suppressor activity and inhibit the SRF coactivator MRTF-A
Bibliographic record
Abstract
Filamin A (FLNA) is an actin binding protein that organizes the cytoskeleton and controls many fundamental biological processes, such as cell migration and adhesion. The interaction between FLNA and the Myocardin-related transcription factor A (MRTF-A) promotes the activity of serum response factor (SRF) and cell migration. MRTF-A and SRF play an important role for tumor growth and senescence of hepatocellular carcinoma (HCC). Here, we identified a novel interaction between FLNA and the tumor suppressor Deleted in Liver Cancer 1 (DLC1) in vitro and in vivo in organoids and mapped the regions of interaction between DLC1 and FLNA. Association with FLNA enhanced DLC1 RhoGAP function, impaired SRF transcriptional activity, and induced cellular senescence. We found a novel molecular switch between the DLC1-FLNA and the MRTF-A-FLNA complexes that is mediated by FLNA phosphorylation at serine 2152. We generated DLC1 binding peptides that dissociate the MRTF-A-FLNA complex and favor the novel DLC1-FLNA complex by preventing actin polymerization and FLNA phosphorylation at serine 2152. Since FLNA phosphorylation at serine 2152 was increased in mouse xenografts, reinforcing the DLC1-FLNA complex by targeting FLNA phosphorylation at serine 2152 represents a promising therapeutic approach for HCC treatment.
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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".