Knockdown of ribosomal protein S15A inhibits human kidney cancer cell growth in�vitro and in�vivo
Bibliographic record
Abstract
Ribosomal protein S15A (RPS15A), a member of the ribosomal protein gene family, was demonstrated to be closely associated with tumorigenesis in multiple human malignancies. Nevertheless, the role of RPS15A in the progression of renal cell carcinoma (RCC) remains unknown. In the present study, by comparing the publicly available data from RCC tissues and reverse transcription‑quantitative polymerase chain reaction results, it was identified that RPS15A was upregulated in RCC tissues and cell lines (P<0.001). Notably, knockdown of RPS15A suppressed 786‑O cell proliferation (P<0.001) and promoted its apoptosis/necrotic (P=0.0001) in vitro. Additionally, tumour formation and growth of transfected 786‑O cells were observed to be restrained in a mouse model (P<0.05). Subsequent to analysing the microarray data, 747 genes were differentially expressed in the RPS15A‑knockdown 786‑O cells. The enriched canonical pathways, diseases and functions of differentially expressed genes, and the interactive network of RPS15A in RCC were successfully constructed by ingenuity pathway analysis. Overall, the present results provided a preliminary experimental basis for RPS15A as a novel oncogene and potential therapeutic target in RCC.
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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".