Synthesis of 5-Alkynyltetrandrine Derivatives and Evaluation of their Anticancer Activity on A549 Cell Lines
Bibliographic record
Abstract
BACKGROUND: Lung cancer is one of the most prevalent malignancies and thus the development of novel therapeutic agents for managing lung cancer is imperative. Tetrandrine, a bis-benzyltetrahydroisoquinoline alkaloid isolated from Stephania tetrandra S. Moore, has been found to exert cytotoxic effects on cancerous cells. METHODS: A series of 5-alkynyltetrandrine derivatives was synthesized via the Sonogashira cross-coupling reactions and evaluated as potential anti-tumor agents. The anti-tumor activities of 12 compounds on lung cancer cells (A549) were evaluated using the MTT method. The population of apoptotic cells was measured using a TUNEL assay. Real-time PCR quantified the gene expression levels of Bcl-2, Bax, survivin and caspase-3. The content of Cyt-C was detected using a Human Cyt-C ELISA kit. RESULTS: Most of these compounds exhibited better activities than tetrandrine itself on A549 cells. Among them, compound 7 showed the highest cytotoxicity among the tested compounds against human lung adenocarcinoma A549 cells with an IC50 of 2.94 µM. Preliminary mechanistic studies indicated that compound 7 induced apoptosis of human lung cancer A549 cells and increased the level of the proapoptotic gene Bax, release of Cyt-C from mitochondria and activation of caspase-3 genes. CONCLUSION: The results suggest that compound 7 exerts its antitumor activity against A549 cells through the induction of the intrinsic (mitochondrial) apoptotic pathway. These findings will contribute to the future design of more effective anti-tumor agents in lung cancer therapy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".