Autocrine motility factor receptor: a clinical review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.010 | 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 it