Curcumin Inhibits Retinoblastoma Cell Proliferation by miR-26a Targeting the Tumor Suppressor Gene Rb1 in Y79 Cells
Bibliographic record
Abstract
The retinoblastoma (Rb1) gene is one of the most important tumor suppressor genes. Dysfunction of Rb protein drives tumorigenesis by overcoming barriers to cellular proliferation. Consequently, factors modulating Rb function are of great clinical import. Here, we show that miR-26a was differentially expressed in human retinoblastoma cells, tissues and serums from retinoblastoma patients, compared with human retinal microvascular endothelial cells, non-tumor tissues and serums from healthy children, and that it tightly regulated the expression of Rb1 by specifically targeting a conserved sequence motif in its UTR, leading to low expression of Rb1. In vitro experiments determined that miR-26a directly participated in the regulation of cell proliferation of human Y79 RB cells. Our results also suggest that curcumin modulated the miR-26a expression profile, thereby exerting its anti-proliferation effects on Y79 RB cells via up-regulation of Rb1. To our knowledge, these data indicate for the first time that miR-26a directly regulates cell proliferation by targeting Rb1 in retinoblastoma and that miR-26a could be a potential therapeutic approach for retinoblastoma.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".