Predictive value and changes of miR‑34a after concurrent chemoradiotherapy and its association with cognitive function in patients with nasopharyngeal carcinoma
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Bibliographic record
Abstract
This study explored the changes and predictive value of miR-34a in nasopharyngeal carcinoma (NPC) after concurrent chemoradiotherapy (CCRT), and its association with cognitive function. Fifty NPC patients admitted to Shunde Hospital, and another fifty healthy individuals were assigned into treated group and control group, respectively. Patients in the treated group received 3 courses of CCRT. The relative expression of miR-34a in the two groups was detected, and the cognitive function of patients was assessed. Diagnostic and predictive values of miR-34a in advanced NPC were analyzed. The expression of miR-34a in the control group was significantly higher than that in the treated group (t=13.364, P<0.001), with an area under the curve (AUC) of 0.979. The expression of miR-34a was significantly upregulated after treatment (t=4.559, P<0.001). After treatment, there were 32 complete remission (CR) patients and 18 partial remission (PR) patients. According to efficacy, CR patients were classified as significant group and PR patients as general group. The expression of miR-34a in the significant group was higher than that in the general group before treatment (t=4.704, P<0.001), with an AUC of 0.852. The Montreal Cognitive Assessment (MoCA) score was significantly decreased after treatment (t=13.042, P<0.001). The expression of miR-34a was positively correlated with the MoCA score after treatment, that is, MoCA score gradually increased with the upregulation of miR-34a expression (r=0.379, P=0.006). There is a positive correlation between miR-34a and cognitive function of patients. Moreover, the expression of miR-34a can be used as a potential predictor of the efficacy of CCRT in patients with NPC.
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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 | 0.000 | 0.000 |
| 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 it