The detection of <scp>DNA</scp> methylation of tumour suppressor genes in cervical high‐grade squamous intraepithelial lesion: A prospective cytological‐histological correlation study of 70 cases
Bibliographic record
Abstract
BACKGROUND: DNA methylation has been suggested as one of the epigenetic changes promoting carcinogenesis. The aim of this study was to prospectively evaluate the methylation status of CADM 1, MAL and hsa-miR-124 genes in high-grade squamous intraepithelial lesion (HSIL) liquid-based cytology (LBC) samples with a histological correlation. METHODS: Seventy histologically confirmed cases of HSIL paired with prior screening LBC diagnosis of HSIL within a 3-month interval were selected. Histologically, the lesions were reviewed and assessed including: (a) number of blocks harbouring dysplastic squamous epithelium; (b) number of blocks containing glandular extension of dysplastic epithelium; and (c) the depth of glandular extension (which was assessed semi-quantitatively as graded 1-3). Human papillomavirus (HPV) subtyping was performed from residual LBC materials using the LINEAR ARRAY HPV Genotyping Test and in-house polymerase chain reaction targeting the HPV E1 gene. The detection of methylation silencing of tumour suppressor genes CADM1, MAL and hsa-miR-124 was performed by multiplex methylation-specific real-time polymerase chain reaction. RESULTS: A positive methylation status was detected in 41 cases (58.6%). The number of blocks with HSIL varied from one to 13. Glandular extension was seen in 44 cases with the number of blocks involved ranging from one to 10. The depth of HSIL glandular extension varied. CONCLUSION: The DNA methylation test allows HSIL lesions to be divided into two distinct groups of methylated HSIL in significantly older patients and unmethylated HSIL in younger patients. This study was not able to prove that methylation status in cervical HSIL correlates with the size of the lesion (measured by the number of blocks involved) or with HSIL propensity for endocervical glandular extension, nor with HPV type or multi-infection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".