The G-Quadruplex-Interactive Molecule BRACO-19 Inhibits Tumor Growth, Consistent with Telomere Targeting and Interference with Telomerase Function
Bibliographic record
Abstract
Interference with telomerase and telomere maintenance is emerging as an attractive target for anticancer therapies. Ligand-induced stabilization of G-quadruplex formation by the telomeric DNA single-stranded 3' overhang inhibits telomerase from catalyzing telomeric DNA synthesis and from capping telomeric ends. We report here the effects of a 3,6,9-trisubstituted acridine compound, BRACO-19, on telomerase function in vitro and in vivo. The biological activity of BRACO-19 was evaluated in the human uterus carcinoma cell line UXF1138L, which has very short telomeres (2.7 kb). In vitro, nuclear human telomerase reverse transcriptase (hTERT) expression was drastically decreased after 24 hours, induction of cellular senescence and complete cessation of growth was seen after 15 days, paralleled by telomere shortening of ca. 0.4 kb. In vivo, BRACO-19 was highly active as a single agent against early-stage (68 mm(3)) tumors in a s.c. growing xenograft model established from UXF1138L cells, if given chronically at 2 mg per kg per day i.p. BRACO-19 produced growth inhibition of 96% compared with controls accompanied by partial regressions (P < 0.018). Immunostaining of xenograft tissues showed that this response was paralleled by loss of nuclear hTERT protein expression and an increase in atypical mitoses indicative of telomere dysfunction. Cytoplasmic hTERT expression and its colocalization with ubiquitin was observed suggesting that hTERT is bound to ubiquitin and targeted for enhanced degradation upon BRACO-19 treatment. This is in accord with a model of induced displacement of telomerase from the telomere. The in vitro and in vivo data presented here is consistent with the G-quadruplex binding ligand BRACO-19 producing an anticancer effect by inhibiting the capping and catalytic functions of telomerase.
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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) | 0.002 | 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".