KMT5A Knockdown Suppresses Osteosarcoma Cell Proliferation and Metastasis Through ß-Catenin Signalling
Bibliographic record
Abstract
PURPOSE: Osteosarcoma (OS) is the most common malignant solid bone tumor in children and young adults. We aimed to investigate the effects and cellular mechanisms of KMT5A on OS cell activity. METHODS: The protein expression was evaluated in the clinical normal, adjacent and OS osteogenic tissues. Knockdown of KMT5A was achieved by KMT5A siRNAs in a human OS cell line, MG63, to detect cell proliferation and metastasis. RESULTS: KMT5A expression was upregulated in clinical OS tissues. Knockdown of KMT5A inhibited cell proliferation but enhanced cell death, with significantly reduced cyclinD1 and Bcl2 and increased cleaved-caspase9 levels. KMT5A knockdown also suppressed OS cell migration and invasion capacity and deceased MMP3 and vimentin expression. β-catenin levels were upregulated in OS tissues and blocking KMT5A resulted in a significant decline in β-catenin expression in the OS cells. Further administration of β-catenin activator remarkably increased protein levels of KMT5A, cyclinD1, Bcl2, MMP3, and vimentin, which showed reversed effects of KMT5A knockdown on OS cell activity. CONCLUSION: KMT5A knockdown plays an inhibitory role in OS cell proliferation and metastasis through β-catenin signalling, which provides basic evidence and suggests potential targets for OS therapeutic research.
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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".