Adva-27a, a novel podophyllotoxin derivative found to be effective against multidrug resistant human cancer cells.
Bibliographic record
Abstract
BACKGROUND/AIM: Multidrug resistance poses a serious challenge in cancer therapy. To address this problem, we designed and synthesized Adva-27a, a novel non-ester GEM-difluorinated C-glycoside derivative of podophyllotoxin. MATERIALS AND METHODS: Adva-27a activity was evaluated in a variety of assays including inhibition of topoisomerase IIα, cytotoxic activity in drug-sensitive and drug-resistant cancer cell lines, metabolic stability in human liver microsomes and pharmacokinetic properties in rats. RESULTS: Adva-27a exhibited dose-dependent human topoisomerase IIα inhibitory activity and dose-dependent growth inhibitory activity in several drug-sensitive and two multidrug-resistant cancer cell lines. In the multidrug-resistant cell lines, MCF-7/MDR (breast cancer) and H69AR (small-cell lung cancer), Adva-27a was significantly more potent than etoposide. The metabolic stability of Adva-27a in human liver microsomes and its pharmacokinetic properties in rats were better than those of etoposide. CONCLUSION: Our studies have identified Adva-27a as a novel topoisomerase II inhibitor with superior cytotoxic activity against multidrug-resistant human cancer cells and more desirable pharmacokinetic properties than etoposide.
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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 | 0.000 |
| 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".