Bibliographic record
Abstract
It is becoming increasingly apparent that many of the basic mechanisms underlying cancers also underlie fibrotic diseases. For example, the Sp1 family of transcription factors plays an essential role in controlling the gene expression of proteins that promote both oncogenesis and fibrogenesis. The drug mithramycin, which prevents Sp1 binding to DNA, has been in use clinically for some cancers, but has side-effects. However, other drugs exist that affect Sp1 activity through promoting Sp1 protein degradation. Evidence has emerged that low levels of mithramycin can be combined with these drugs to result in potent antitumorigenic effects without resulting in obvious toxicity (Gao et al. Cancer Res 2011 Jun 20; Jia et al. Cancer Res 70:1111-1119, 2010). Given that Sp1 proteins also promote expression of profibrotic genes such as collagen type I and CCN2, it is possible that this combinatorial approach may be taken in the future to block not only cancer but also fibrosis.
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 | 0.000 | 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".