Methylation of <i>SOX1</i> and <i>PAX1</i> Are Risk Factors and Potential Biomarkers for Cervical Lesions
Bibliographic record
Abstract
Background: The correlation between methylation of paired box gene 1 (PAX1) and sex determining region Y-box 1 (SOX1) with human papillomavirus (HPV) infection and the progression of cervical lesions is not well understood. This study aims to explore the potential value of PAX1 and SOX1 as diagnostic biomarkers for cervical diseases. Methods: A total of 139 cervical biopsy tissue samples were obtained from the Department of Pathology, the Seventh Medical Center, Chinese PLA General Hospital from 2021 to 2023. The samples include 32 cases of chronic cervicitis (inflammation group), 30 cases of low-grade squamous intraepithelial lesions (LSIL group), 50 cases of high-grade squamous intraepithelial lesions (HSIL group), and 27 cases of cervical squamous cell carcinoma (CSCC group). DNA was extracted from paraffin-embedded tissues, and the levels of HPV infection and methylation of PAX1 and SOX1 were detected. Results: The methylation index (M-index) of PAX1 and SOX1 in the HSIL and CSCC groups is significantly higher than in the inflammation group (both P < 0.0001), with no significant difference between the LSIL and inflammation groups. There is no significant difference in the positive PAX1 and SOX1 methylation rate with HPV infection and age. The positive rates of PAX1 methylation in the inflammation, LSIL, HSIL, and CSCC groups were 3.13%, 10.00%, 44.00%, and 88.89%, respectively. The positive rates of SOX1 methylation were 3.13%, 10.00%, 40.00%, and 77.78%, respectively, and increasing with the progression of cervical lesions (R2 = 0.9189/R2 = 0.9279, P < 0.0001/P < 0.0001). Comparing LSIL, HSIL, and CSCC with the inflammation group and using cervical biopsy pathology diagnosis as the gold standard, methylation of PAX1 and SOX1 is a risk factor for HSIL and CSCC, with odds ratio (OR) values significantly increasing as lesions progress. The sensitivity of PAX1 and SOX1 methylation to cervical lesions increases with the progression of the lesions. Conclusions: Methylation of SOX1 and PAX1 is not associated with HPV infection. The positive rate of methylation for SOX1 and PAX1 is positively correlated with cervical lesions, which can serve as potential biomarkers for HSIL and CSCC. They are risk factors and potential screening indicators for HSIL and above cervical lesions.
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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 | 0.000 |
| 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) | 0.002 | 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".