Antiangiogenic and Antitumoral Activity of Phenyl-3-(2-Chloroethyl)Ureas
Bibliographic record
Abstract
The development of new anticancer agents with lower toxicity, higher therapeutic index, and weaker tendency to induce resistant phenotypes in tumor cells is a continuous challenge for the scientific community. Toward that end, we showed previously that a new class of soft alkylating agents designed as phenyl-3-(2-chloroethyl)ureas (CEUs) inhibits tumor cell growth in vitro and that their efficiency is not altered by clinically relevant mechanisms of resistance such as overexpression of multidrug resistance proteins, increase in intracellular concentration of glutathione and/or glutathione S-transferase activity, alteration of topoisomerase II, and increased DNA repair. Mechanistic studies have showed recently that the cytotoxic activity of several CEUs was mainly related to the disruption of microtubules. Here, we present results supporting our assumption that 4-tert-butyl-[3-(2-chloroethyl)ureido]phenyl (tBCEU) (and its bioisosteric derivative 4-iodo-[3-(2-chloroethyl)ureido]phenyl (ICEU) are potent antimicrotubule agents both in vitro and in vivo. They covalently bind to beta-tubulin, leading to a microtubule depolymerization phenotype, consequently disrupting the actin cytoskeleton and altering the nuclear morphology. Accordingly, tBCEU and ICEU also inhibited the migration and proliferation of endothelial and tumor cells in vitro in a dose-dependent manner. It is noteworthy that ICEU efficiently blocked angiogenesis and tumor growth in three distinct animal models: (a) the Matrigel plug angiogenesis assay; (b) the CT-26 tumor growth assay in mice; and (c) the chick chorioallantoic membrane tumor assay. In addition, we present evidence that CEU cytotoxicity is unaffected by additional resistance mechanisms impeding tumor response to DNA alkylating agents such as cisplatin, namely the cell adhesion mediated-drug resistance mechanism, which failed to influence the cytocidal activity of CEUs. On the basis of the apparent innocuousness of CEUs, on their ability to circumvent many classical and recently described tumor cell resistance mechanisms, and on their specific biodistribution to organs of the gastrointestinal tract, our results suggest that CEUs represent a promising new class of anticancer agents.
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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".