MiR-708-5p as a Predictive Marker of Colorectal Cancer Prognosis
Bibliographic record
Abstract
Background: MicroRNAs (miRNA) are short non-coding RNA that act as negative regulators of gene expression. Altered levels of miR-708-5p have recently been described in many tumors, although its contribution in colorectal cancer (CRC) pathophysiology remains unclear. Methods/Patients: Quantitative real-time polymerase chain reaction was employed to evaluate the expression of miR-708-5p in 50 CRC and 20 paired adjacent noncancerous tissues. The relationship between miRNA levels and clinicopathological features was estimated using the Mann-Whitney test, and survival curves calculated by the Kaplan-Meier method. Additionally, in vitro assays were performed to investigate the possible role of miR-708-5p on CRC cell survival. Results: The expression level of miR-708-5p was significantly decreased in CRC tissues (3.79 fold-change, p=0.0112) when compared with non-neoplastic colon samples. Paired analysis in 20 CRC samples with their corresponding adjacent non-neoplastic tissue showed miR-708 downregulation in 60% of them. The same pattern was seen in DLD1 and HT-29 cell lines (~50-fold decrease). Interestingly, higher expression is observed in patients with poor prognosissuch as stage III/IV, relapse/metastasis and death, and shorter 5-year event free survival. Exogenous expression of miR-708 exerted a significant influence on clonogenicity in vitro. Conclusion: These results suggest that reduced miR-708-5p expression may contribute to the first stages of colorectal carcinogenesis. A shift in the regulation of miR-708-5p might operate in more severe stages of the disease. It seems that lower levels of miR-708 expression might connote less advanced disease and better prognosis. Further studies are needed to corroborate our results and better elucidate the role of miR-708 in CRC.
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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 | 0.000 | 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 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".