Tristetraprolin: a weapon against HPV-induced cervical cancer?
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.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".