Tristetraprolin: a weapon against HPV-induced cervical cancer?
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
suppressor mechanisms elicited by p53 and retinoblastoma (pRb) proteins, respectively [2]. Through this influence, E6 and E7 prevent infected cells from entering senescence, a state of irreversible cell cycle arrest that normally occurs at the end of the lifespan of the cell, in the presence of certain oncogenes, or following cellular damage [13]. Additionally, E6 blocks senescence by inducing the expression and activation of the human telomerase reverse transcriptase (hTERT) [14-16]. Although the detailed molecular mechanisms by which E6 promotes malignancy are still elusive, E6 forms a complex with the E6-associated protein (E6-AP), a HECT ubiquitin protein ligase, and mediates the proteasome-dependent degradation of p53. Furthermore, E6-AP has been shown to mediate the degradation of NFX1, a transcriptional repressor of human telomerase reverse transcriptase (hTERT). By decreasing NFX1 levels, E6-AP promotes the expression of hTERT, which consequently increases the activity of the telomerase complex and prevents cellular senescence [2, 17]. While links between transcription regulation and the expression of many genes involved in the development of cervical cancer has been described [2, 17], the effects of HPV infection on post-transcriptional events such as mRNA turnover are not known. One of the main questions that remain unanswered to-date is whether infection by HPV negatively or positively affects the mRNA turnover machinery and if so, whether these events are linked to the development of malignant genital warts.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.003 |
| 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 it