Mir-139 Regulates Autophagy in Prostate Cancer Cells Through Beclin-1 and mTOR Signaling Proteins
Bibliographic record
Abstract
BACKGROUND/AIM: We previously identified a panel of five miRNAs (including miR-139) associated with biochemical recurrence and metastasis in prostate cancer patients. MATERIALS AND METHODS: We examined miR-139 transfected PC3, DU145 and LNCaP cells by morphology as well as by cell-based assays, confocal microscopy and immunoblotting. RESULTS: We found that treatment of prostate cancer cells with miR-139 resulted in phenotypic changes characteristic of autophagic cells. MiR-139 increased the autophagy-related conversion of the microtubule-associated protein light chain 3 (LC3-I to LC3-II) that was specifically inhibited by the miR-139 antagomir. The upregulation of LC3 II was further confirmed by confocal microscopy. miR-139 regulated activation of both mTOR and Beclin1 the two important autophagy-related molecules. We found that upon miR-139 treatment, the cargo adaptor protein p62 which is degraded during autophagy, accumulates. CONCLUSION: These results suggest that miR-139 is inducing autophagic flux blockade leading to apoptosis in prostate cancer cells through the mTOR and Beclin-1 proteins.
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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 | 0.000 |
| 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) | 0.001 | 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".