Identification of Expression Pattern and Clinical Significance of the Small Cajal Body-specific RNA SCARNA16 in Hepatocellular Carcinoma
Bibliographic record
Abstract
BACKGROUND AND AIMS: For high morbidity and mortality, hepatocellular carcinoma (HCC) becomes a major health issue worldwide. Nowadays, numerous non-coding RNAs (ncRNAs) are known to regulate the occurrence and pathogenesis of tumors. Some ncRNAs have also been developed as tumor biomarkers and therapeutic targets. However, the potential function of the small Cajal body-specific RNA (scaRNA) SCARNA16, a newly identified ncRNA, remains to be explored in HCC. METHODS: In both HCC cell lines and specimens from 120 enrolled patients, the expression values of SCARNA16 were detected. We divided patients into SCARNA16 high and low expression subgroups, and then analyzed the difference of various clinical characteristics and prognosis data between subgroups. RESULTS: =0.006). CONCLUSIONS: Low expression patterns of SCARNA16 remarkably associated with severe clinical status and poor survival of patients, suggesting that SCARNA16 possesses potency as a novel biomarker for HCC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".