High-risk human papillomavirus-18 uses an mRNA sequence to synthesize oncoprotein E6 in tumors
Bibliographic record
Abstract
Significance Cervical cancer is the fourth most common cancer in women for both incidence and mortality worldwide. The causal agent is a group of viruses termed high-risk human papillomavirus (HPV). Viral types 16 and 18 cause ∼70% of this burden disease. HPV E6 is a potent oncoprotein that plays a central role in carcinogenesis, but its synthesis remains poorly understood at the level of mRNA translation. We discovered that in cervical tumors, mRNAs possessing 5′ UTRs of 0 to 5 nucleotides and harboring the motif ACC aug GCGCG(C/A)UUU control E6 mRNA translation. This process is highly dependent on eIF4E and eIF4AI, two translation factors linking translation and cancer. We suggest the use of drugs targeting these factors as antineoplasic compounds for HPV-caused cancers.
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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 | 0.000 | 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) | 0.003 | 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".