A deuterated analog of dasatinib disrupts cell cycle progression and displays anti‐non‐small cell lung cancer activity <i>in vitro</i> and <i>in vivo</i>
Bibliographic record
Abstract
The pan-Src family kinase inhibitor dasatinib has been approved for chronic myeloid leukemia treatment but displays limited activity in lung cancer patients. In this study, we used a deuterium substitution strategy to develop a class of novel chemicals based on dasatinib and found that these compounds maintain inhibition on c-Src activity and display anti-non-small cell lung cancer activity in vitro and in vivo. BRP800, one of these compounds, was chosen for further studies. BRP800 mainly displayed antiproliferative but not proapoptotic activity. Molecularly, BRP800 did not show significant effects on the expression of antiapoptotic genes, such as Bcl-2 and Mcl1, or on the activation of apoptotic enzymes, such as caspase-3, -8 or 9. However, BRP800 decreased expression of cell cycle promoting genes such as cyclins D1, D3, E, A and CDK4 and 6, and increased the expression of cell cycle negative regulators including p21, p27 and p53. Consistent with these findings, BRP800 arrested cells at the G0/G1 phase in a concentration-dependent manner, and the G0/G1 fraction was increased from 64% in control to 85% in BRP800-treated cells. We also evaluated the effects of BRP800 on NSCLC xenografts using H460 as a model in nude mice. Compared with the known NSCLC drug docetaxel, BRP800 displayed potent and similar antitumor activity but with less toxicity. These findings suggest that the deuterated analog of dasatinib is antiproliferative by inhibiting c-Src and disrupting cell cycle progression, and could be further developed as a novel drug for non-small lung cancer treatment.
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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".