Evaluation and Comparison of Plasma miRNA-31 in Oral Squamous Cell Carcinoma
Bibliographic record
Abstract
Background/Purpose: Oral Squamous cell carcinoma is sixth most common cancer with considerable morbidity and mortality. The microRNAs (miRNAs) are set of short RNAs involved in regulating the expression of protein coding genes. They are up or down-regulated in carcinogenesis and in oral cancer. The miRNA-31 (miR-31) is increased in oral cancer. Objective: To evaluate and compare the expression of miRNA-31 in plasma of Oral squamous cell carcinoma and control subjects. Materials and Methods: Case control study was carried out in 25 cases of oral squamous cell carcinoma subjects and 25 normal control subjects. The level of miRNA-31 in blood plasma was evaluated by miRNA easy kit (quagen) and miRNA-based qRT-PCR. The fold change was observed and compared between OSCC and controls. Results: The plasma level of miRNA-31 was significantly increased in OSCC patients compared to controls (p<0.001). The patients with moderately differentiated, grade 4 OSCC patients showed significant increase in fold change compared to control, well differentiated and grade 3 OSCC (p<0.001). Conclusion: Our results indicate that plasma miR-31 may be used as an adjuvant biomarker the detection of OSCC patient.
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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 | 0.001 |
| 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".