LncRNA IDH1-AS1 suppresses cell proliferation and tumor growth in glioma
Bibliographic record
Abstract
Glioma is a type of brain tumor that is common globally, and is associated with a variety of genetic changes. It has been reported that isocitrate dehydrogenase 1 (IDH1) is overexpressed in glioma and in HeLa cells. The lncRNA IDH1-AS1 is believed to interact with IDH1, and when IDH1-AS1 is overexpressed, HeLa cell proliferation is inhibited. However, the effects of IDH1-AS1 on glioma were relatively unknown. The results from this work show that IDH1-AS1 is downregulated in the glioma tissues. We used primary glioblastoma cell lines U251 and U87-MG to study the effects of IDH1-AS1 on glioma cell growth, in vitro and in vivo. We found that when IDH1-AS1 is overexpressed cell proliferation is inhibited, cell cycle is arrested at the G1 phase, and the protein expression levels of cyclinD1, cyclinA, cyclinE, CDK2, and CDK4 are decreased. We found that cell apoptosis was increased when IDH1-AS1 was overexpressed, as evidenced by increases in the levels of cleaved caspase-9 and -3. Conversely, knockdown of IDH1-AS1 promoted cell proliferation. Moreover, we proved that overexpression of IDH1-AS1 inhibits the tumorigenesis of U251 cells, in vivo. Furthermore, IDH1-AS1 did not affect IDH1 protein expression, but altered its enzymatic activities in glioma cells. Silencing of IDH1 reversed the effects of IDH1-AS1 upregulation on cell viability. Hence, our study provides first-hand evidence for the effects of lncRNA IDH1-AS1 on gliomas. Because overexpressing IDH1-AS1 inhibited cell growth, IDH1-AS1 could also be considered as a potential target for glioma treatment.
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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 | 0.001 |
| 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".