LC3C mediates selective autophagy of the MET RTK, inhibiting cancer cell invasion
Bibliographic record
Abstract
Macroautophagy/autophagy is an evolutionarily conserved degradative process with a central role in maintaining cellular homeostasis under conditions of stress, and recent evidence suggests this may occur in part through direct modification of cell signaling. The MET/HGF receptor tyrosine kinase (RTK) signaling axis is an important mediator of cell motility and invasion in normal cell functions and in cancer. We discovered a role for autophagy in regulating ligand-activated MET signaling and cellular responses. When autophagy is induced by starvation, the HGF-activated and internalized MET RTK is selectively recruited for autophagic degradation through complex formation with the MAP1LC3C autophagy protein. Decreased LC3C expression in cancer results in loss of autophagic degradation of MET and enhanced HGF-stimulated cell invasion implicated in metastatic progression. This emerging role for autophagy in selectively regulating signaling proteins has implications for understanding cellular adaptations to stress and the functions of autophagy at different stages of cancer progression.
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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) | 0.002 | 0.001 |
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".