Clinical Relevance of CDH1 and CDH13 DNA-Methylation in Serum of Cervical Cancer Patients
Bibliographic record
Abstract
This study was designed to investigate the DNA-methylation status of E-cadherin (CDH1) and H-cadherin (CDH13) in serum samples of cervical cancer patients and control patients with no malignant diseases and to evaluate the clinical utility of these markers. DNA-methylation status of CDH1 and CDH13 was analyzed by means of MethyLight-technology in serum samples from 49 cervical cancer patients and 40 patients with diseases other than cancer. To compare this methylation analysis with another technique, we analyzed the samples with a denaturing high performance liquid chromatography (DHPLC) PCR-method. The specificity and sensitivity of CDH1 DNA-methylation measured by MethyLight was 75% and 55%, and for CDH13 DNA-methylation 95% and 10%. We identified a specificity of 92.5% and a sensitivity of only 27% for the CDH1 DHPLC-PCR analysis. Multivariate analysis showed that serum CDH1 methylation-positive patients had a 7.8-fold risk for death (95% CI: 2.2-27.7; p = 0.001) and a 92.8-fold risk for relapse (95% CI: 3.9-2207.1; p = 0.005). We concluded that the serological detection of CDH1 and CDH13 DNA-hypermethylation is not an ideal diagnostic tool due to low diagnostic specificity and sensitivity. However, it was validated that CDH1 methylation analysis in serum samples may be of potential use as a prognostic marker for cervical cancer patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".