Predominance of genomically defined A lineage of HPV16 over D lineage in Indian patients from eastern India with squamous cell carcinoma of the cervix in association with distinct oncogenic phenotypes
Bibliographic record
Abstract
Human papillomavirus type-16 (HPV16) is classified into lineages, A, B, C and D and 10 sub-lineages portraying variable infectivity, persistence, and cytological outcomes, however, with geographical variations. Our objective was to delineate the distinctive features of lineages among cervical squamous cell carcinoma (SCC) in the eastern region of India. A total of 145 SCC cases and 24 non-malignant specimens, harboring episomal HPV16, were included. The presence of higher proportion of lineage A over D was observed among SCC cases (86.89% A1, 8.97% D1 and 4.14% D2), while only A1 sub-lineage viruses were found among control specimens. Among the A1 viruses, an association of variants in the E5 (Y44L, I65V), E6 (L83V) genes and LCR: C7577T with SCC, with combined Odd's ratio (95% CI) of 20.5(4.61-91.25) was observed. Network analyses revealed the presence of 10 clades of lineage A viruses comprising of 64 HPV16 genomes harboring the risk alleles. High episomal HPV16 DNA copy numbers (adjusted p-value= 0.0271) and E7 mRNA expression (p-value=0.000017) predominated in SCC with lineage A, over D. Our study highlights the distinctive modalities of oncogenicity among different HPV16 lineages.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".