Changes in miRNA expression in sera and correlation to duration of disease in patients with multifocal mucosal lichen planus
Bibliographic record
Abstract
BACKGROUND: Mucosal lichen planus is a severe variant of lichen planus, Lichen planus (LP), which in many ways affect patients' lives. The aetiology is not fully understood, and there is no treatment clearing the disease once and for all. Oral LP has by the WHO been classified as a precancerous lesion. Micro-RNAs, miRNAs, are non-coding, small single-stranded RNAs involved in biological processes like apoptosis, proliferation, differentiation, metastasis, angiogenesis and immune response. METHODS AND RESULTS: In sera from 30 patients with multifocal mucosal LP, 15 miRNAs were identified as significantly differentially expressed compared with controls. The three most up-regulated miRNAs are all connected to oral squamous cell carcinoma or epithelial carcinoma in general. DISCUSSION: Even if no specific LP-associated miRNA profile was found, data clearly indicate that miRNAs could play a role in the earlier phases of lichen planus.
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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) | 0.001 | 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".