RASSF10 is Epigenetically Inactivated and Suppresses Cell Proliferation and Induces Cell Apoptosis by Activating the p53 Signalling Pathway in Papillary Thyroid Carcinoma Cancer
Bibliographic record
Abstract
OBJECTIVES: We aimed to confirm whether RASSF10 activated the p53 signalling pathway, thereby modulating cell proliferation, migration, invasion, and apoptosis in papillary thyroid carcinoma (PTC) cells. METHODS: A total of 108 PTC tissue samples and normal adjacent tissues were obtained. RT-PCR and Western blotting analyses were performed to detect RASSF10 expression, and methylation levels of RASSF10 were estimated by methylation-specific PCR (MSP). We also detected the expression and methylation status of RASSF10 in both a human PTC cell line (K1) and a normal thyroid cell line (FRTL5). After transfection of cells with empty vector pcDNA3.1, pcDNA3.1-RASSF10, p53 siRNA and shRASSF10, Coulter counter, colony-formation, wound healing, Transwell and flow cytometry analyses were performed to examine the role of RASSF10 in cell proliferation, migration, invasion, and apoptosis. Finally, the expression of p53, p21, Bcl-2 and Bax were detected using Western Blotting analyses. RESULTS: RASSF10 expression in PTC tissues was significantly lower and hyper-methylated compared to normal adjacent tissues. In addition, RASSF10 was significantly down-regulated and hyper-methylated in K1 cells compared to FRTL5 cells. In addition, suppressed proliferation and significantly induced apoptosis of K1 cells were observed after transfection with pcDNA3.1-RASSF10 (P < 0.05). Furthermore, RASSF10 activated the p53 signalling pathway and regulated the expression of p53, p21, Bcl-2 and Bax. Furthermore, p53 siRNA could antagonize the effects of RASSF10 in K1 cells. CONCLUSIONS: RASSF10 induces apoptosis in PTC cells by activating the p53 signalling pathway, indicating its role as a treatment target for PTC.
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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".