Salivary HPV Persistence Following Treatment of Oropharyngeal Squamous Cell Carcinoma
Bibliographic record
Abstract
OBJECTIVE: To determine the persistence of human papillomavirus (HPV) infection following treatment of HPV-positive oropharyngeal squamous cell carcinoma (HPV + OPSCC). METHODS: A cross-sectional study was undertaken at The Ottawa Hospital (Ottawa, ON, Canada), a tertiary academic hospital and regional cancer center. Adult patients who were diagnosed with HPV + OPSCC between the years of 2014 and 2016 and treated with curative intent, and who were alive and willing to consent were eligible for inclusion. A saliva assay was used to test for the presence of HPV DNA in a random sample of patients. qPCR was used to amplify DNA from saliva samples. RESULTS: Saliva samples were obtained from 69 patients previously treated with HPV + OPSCC. All patients had a minimum of 2 years of follow-up. 5 patients tested positive for HPV: 2 were positive for HPV-16, 2 for HPV-18, and 1 "other" HPV type. No patient in our study cohort had suffered recurrence post-treatment. CONCLUSIONS: This study is the first to demonstrate the prevalence of persistent oncogenic HPV DNA in saliva following treatment for HPV + OPSCC. This prevalence appears to be low, despite the fact that persistent HPV infection is a precursor for the development of HPV + OPSCC. This finding raises questions about what factors influence the clearance or persistence of HPV DNA in saliva after treatment for HPV + OPSCC, and may add to our understanding about the longitudinal effects of HPV infection in these 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".