In Vitro Effects of Galangin on Cell Proliferation,Cycle Progression and Apoptosis of a Human Gastric Cancer SGC-7901 Cells
Bibliographic record
Abstract
OBJECTIVE To investigate the effect of galangin on the anti-proliferation and apoptosis of gastric cancer SGC-7901 cells,and possible mechanisms.METHODS Proliferative activity of SGC-7901 cells was measured by MTT assay while that cell cycle progression and apoptosis of galangin-treated SGC-7901 cells were analyzed by flow cytometry,morphologic observation and mitochondrial membrane potential(MMP) analysis.RESULTSS The evaluated results showed that when galangin was added into cell culture in 40-200 μmol·L-1,proliferative inhibition occurred and was observed as a dose-and time-dependent manner.The calculated IC 50 values for galangin were 160,100 and 70 μmol·L-1when the treatment time was 24,48 and 72 h,respectively.Flow cytometry analysis revealed that the proportion of the cells in the G 2 / M phase was significantly enhanced from 4.40(control group) to 18.31(treatment group) by a treatment time of 24 h.CONCLUSION The cells in treatment group showed typical apoptotic morphology and a decrease in MMP.At the same time,the percentage of the apoptotic cells significantly increased from 2.6% or 4.3%(control group) to 27.4% or 65.6%(treatment group),when 160 μmol·L-1galangin treated SGC-7901 cells for 24 or 48 h.These mentioned results indicate that galangin can inhibit the proliferation and induce apoptosis of the SGC-7901 cells by perturbation in cell cycle progression and mitochondrial dysfunction.
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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".