Bibliographic record
Abstract
The expression of the CCN family of matricellular proteins is highly dysregulated in connective tissue pathologies such as fibrosis and highly metastatic cancers. Strategies targeting members of this family, especially CCN2, are under development as novel therapeutic approaches to highly metastatic cancers such as pancreatic cancer. In prior reports, the Kleer laboratory and colleagues have linked reduced expression of CCN6 (WISP3) with aggressive breast cancers. Loss of CCN6 was associated with elevated Akt phosphorylation and TAK1 activation. In a recent report, the same group reports that, by modulating Notch signaling, CCN6 can promote the maintenance of an epithelial phenotype and also reduce cancer cell migration and invasion, tumor initiation, and metastasis (Oncotarget in press DOI: 10.18632/oncotarget.7734 ). These results are consistent with the hypothesis that addition of CCN6 peptides may represent a novel, viable therapeutic approach to blocking aggressive breast cancers.
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.
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) | 0.001 | 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".