Structure–Activity and Cationic Amphiphilic Drug-like Behavior of Aromatic Triamino Glycosylated Antitumor Ether Lipids with Cytotoxicity in 2D and 3D Models
Bibliographic record
Abstract
This study reports the synthesis, cytotoxic evaluation, and mechanistic insights of an amphiphilic triamino glycosylated antitumor ether lipid (GAEL). A series of aryl-substituted tricationic d -galacto-GAELs were synthesized to mimic cationic amphiphilic drug (CAD)-like structural characteristics. Among the series, the quinoline-bearing triamino GAEL (compound 17 ) exhibited the highest cytotoxicity in 2D cultures against drug-sensitive and drug-resistant ovarian, breast, pancreatic, liver, prostate, and brain cancer cells, completely eliminating all cells, whereas cisplatin and doxorubicin were less effective. GAEL 17 also demonstrated superior efficacy in an SK-OV-3 3D tumor spheroid model, fully disintegrating spheroids and inducing cell death at concentrations ≥25 μM. In contrast, doxorubicin reduced viability but did not eradicate spheroids at 50 μM, likely due to slower drug action or limited penetration over 48 h exposure. GAEL 17 retained caspase-independent, non-apoptotic cell death. LysoTracker assay indicated lysosomal disruption, while LipidTOX staining showed dose-dependent fluorescence, consistent with CAD-like lipid accumulation.
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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) | 0.000 | 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 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".