MicroRNAs (miRNAs) in cancer proliferation: Molecular interactions and possible therapeutic targets
Bibliographic record
Abstract
Cancer is one of the most life-threatening diseases worldwide and is characterized by uncontrolled cell division, suppressed cell death, promoted metastasis, and angiogenesis. MicroRNAs (miRNAs) are single-stranded RNA molecules at ∼22 nucleotides in length belonging to the family of small non-coding RNAs. They exert critical regulatory roles in cells and shape various cellular activities. Tumor suppressor miRNAs work in a way to suppress oncogenic pathways, while tumor-promoting miRNAs mediate genes responsible for oncogenesis and suppress tumor inhibitory genes. However, there are miRNAs with dual roles in suppressing or promoting tumor growth in different cancer types. miRNAs regulate gene expression and protein function in cells by targeting mainly the 3′ untranslated region of a gene. Studies on the role of miRNAs in cancer illuminate the complex interaction between miRNAs and pathways involved in cancer. This chapter reviews the current knowledge regarding the importance and role of miRNAs in cancer focusing on proliferation, apoptosis, autophagy, and cell cycle arrest.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".