The relationship between cervical human papillomavirus infection and apoptosis
Bibliographic record
Abstract
PURPOSE: Cervical carcinoma is the second most common cancer among women worldwide. Viral infections, especially human papillomavirus (HPV) infections, are important factors in its etiology. Changes in apoptotic regulation are considered to have an important role in the carcinogenesis development. In this study, the relationship between apoptosis and HPV infection was investigated. METHODS: HPV DNA and HPV DNA type 16 positivity were detected in 110 cervical smear samples with Real Time PCR and sequencing was performed for HPV DNA type 18. The presence of apoptosis was investigated using TUNEL and Annexin V staining methods and analyzed by fluorescence microscope and flow cytometry. RESULTS: HPV DNA type 16 was detected in 9 samples (8.1%), HPV DNA type 18 positive in 6 samples (5.4%) and HPV types other than HPV type 16 and HPV type 18 in 9 samples (8.1%). A decrease apoptosis was found in HPV DNA positive samples compared with controls (P < 0.05). CONCLUSION: The decrease of apoptosis during HPV infection might cause cellular immortality and then malignant transformation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
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".