Multiple Anogenital Cancers in a 26-Year-Old Female: A Case Report
Bibliographic record
Abstract
High-risk Human Papillomavirus (HPV) infections cause squamous intraepithelial lesions which act as precursors to invasive cancers. Due to the integration of HPV into host DNA, patients who have been diagnosed with HPV-associated invasive or preinvasive tumors may have a five-to-ten-fold increased risk of a second HPV-associated cancer, with a particularly strong association between anal and vulvovaginal cancers. This is a case report of a 26-year-old HIV-negative nulliparous female who developed independent squamous cell cancers of the vulvar, vaginal, cervix, and anus within a 2-year time frame in Cameroon. HPV specimens collected from the vagina and anus, and genotyped using the AmpFire HPV analyzer, revealed the presence of HPV Types 33, 51, and 68. Worldwide, HPV types 16 and 18 have been noted as the most virulent HPV types. Neither of these types was present in this patient with aggressive HPV-associated cancers. It is not known if the combination of these three types; 33, 51, and 68 forms a particularly virulent association in this population. This case demonstrates the importance of investigating less common high-risk HPV types and associated pathologies in this population. HPV genotypes other than 16 and 18 may play a significant role in cancer development in this population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".