LncRNA <i>SNHG1</i> enhances cell proliferation, migration, and invasion in cervical cancer
Bibliographic record
Abstract
OBJECTIVE: This study investigated the effects of lncRNA SNHG1 on the proliferation, migration, and invasiveness of cervical cancer cells. METHODS: Three pairs of cervical cancer tissue samples and their corresponding adjacent samples were analyzed using Human LncRNA Microarray V3.0 chip for differential analysis. The expression of SNHG1 in cervical cancer cell lines was verified by qRT-PCR. CCK8 assays and colony formation assays were used to study the changes in cell proliferation. Cell migration and Transwell assays were used to study changes in cell migration and invasiveness. RESULTS: SNHG1 was highly expressed in cervical cancer tissues and cervical cancer cell lines. SNHG1 siRNA could knock-down the expression level of SNHG1 in cervical cancer cell lines HeLa and C33-A. After knock-down of SNHG1, cell proliferation and migration as well as invasiveness in HeLa and C-33A cells decreased. CONCLUSION: LncRNA SNHG1 promotes the development of cervical cancer cells.
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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".