Human Papillomavirus Type 33 Polymorphisms and High‐Grade Squamous Intraepithelial Lesions of the Uterine Cervix
Bibliographic record
Abstract
BACKGROUND: We investigated the association between polymorphisms of human papillomavirus (HPV)-33 and squamous intraepithelial lesions (SILs). METHODS: Endocervical specimens from 89 women infected with HPV-33, out of a total of 5347 recruited for 2 case-control and 2 cohort studies, were further analyzed by polymerase chain reaction sequencing of the long control region (LCR), E6, and E7. RESULTS: Of the 89 samples, 64 were normal, 7 had low-grade SILs (including 3 determined by histopathologic analysis), 15 had high-grade SILs (HSILs, including 14 determined by histopathologic analysis), and 3 had an unknown diagnosis. Non-prototype-like LCR variants were significantly associated with HSILs (age- and study site-adjusted odds ratio [OR], 9.2 [95% confidence interval {CI}, 1.8-45.9]). The C7732G variation, which results in the loss of a putative binding site for the cellular upstream stimulatory factor, was associated with HSILs (age- and site-adjusted OR, 8.0 [95% CI, 1.5-42.8]). E6 and E7 polymorphisms were not associated with HSILs. Samples collected at 6-month intervals from 14 participants contained the same variant. The HPV-33 MT 1-0-0 variant carrying the G7584A variation was detected more frequently in women from Brazil (7/20 [35%]) than in women from Canada (1/65 [1.5%]; P=.001). CONCLUSION: Intratypic LCR variants of HPV-33 seem to vary geographically and to differ with respect to their oncogenic potential.
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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) | 0.001 | 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".