Autocrine motility factor receptor: a clinical review
Bibliographic record
Abstract
The ability to target and alter the metastatic activity of cancer cells is a key avenue for cancer therapeutics. While local tumor control is often achieved through surgical resection, patient morbidity and mortality is dependent upon the control of regional and distant spread of disease. Autocrine motility factor receptor (AMFR) is an internalizing cell surface receptor that also exhibits ubiquitin E3 ligase activity in the endoplasmic reticulum. Stimulation of AMFR by its ligand (autocrine motility factor/phosphoglucose isomerase) alters cellular adhesion, proliferation, motility, and apoptosis. Increased AMFR expression has been reported in numerous human cancer types. Review of these studies suggests that AMFR upregulation is significantly correlated with more advanced tumor stage and decreased survival for cancer of the lung, esophagus, stomach, colon, rectum, liver and skin. AMFR has also served as an independent predictor of poor disease prognosis in these tumor types. Significant associations between AMFR expression and other clinicopathologic parameters implicated in disease progression have also been reported. Further characterization of AMFR in human cancer and the development of an understanding of the molecular regulation of this protein is critical for its future role as a target for anticancer agents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".