TTI-281, an Orally Bioavailable Bromodomain and Extraterminal Domain (BET) Inhibitor, Is a Promising Candidate for the Treatment of Multiple Myeloma
Bibliographic record
Abstract
Abstract Although recent advances in the development of multiple myeloma (MM) therapies such as proteasome inhibitors and immunomodulatory agents have improved patient outcomes, MM remains incurable. Additional therapeutic agents with high efficacy, low toxicity and the convenience of oral administration are in high demand. BET inhibitors, such as JQ-1, have been considered as potential therapeutic agents for MM. In the present study, we report that TTI-281, an orally bioavailable BET inhibitor, displays anti-MM activity with a low toxicity profile in preclinical studies. First, TTI-281 was tested for binding and anti-tumor activity in vitro. BROMOscan and AlphaScreen assays demonstrated that TTI-281 bound to bromodomains of BRD2/BRD3/BRD4 with Kd values less than 10 nM. In MTS assays, TTI-281 inhibited the growth of MM cell lines (MM.1s, NCIH929, and RPMI-8826) with cell growth-inhibition (IC50) values less than 300 nM. Next, in vitro ADME screening and in vivo PK studies were conducted. Permeability assays using murine gastrointestinal epithelial cells indicated that TTI-281 had good permeability with little efflux liability (efflux ratio <1), suggesting favorable properties for oral absorption. Indeed, TTI-281 displayed excellent oral bioavailability in both mice and rats (93.1% and 91.8%, respectively). In addition, TTI-281 did not interfere with the metabolism of representative CYP isozyme substrates at concentrations up to 50 μM in pooled human liver microsomes. Data also suggested minimal potential for drug-drug interactions, allowing for the possible combination with first-line therapy to improve therapeutic and survival outcomes. Finally, TTI-281 was tested for anti-myeloma efficacy and tolerability in vivo. NOD-SCID mice (n=10/group) subcutaneously engrafted with the human myeloma cell line MM.1S were treated orally once daily for 21 days with different doses of TTI-281, vehicle control or the benchmark drug carfilzomib. TTI-281 reduced tumor growth in a dose-dependent manner in this MM xenograft model. At 30 mg/kg/day, TTI-281 led to a statistically significant decrease in tumor growth compared with the vehicle control and carfilzomib (reduced tumor volume: 67% after TTI-281 treatment vs 33% after carfilzomib treatment, p<0.0003). Furthermore, TTI-281 treatment was well tolerated, with no effect on body weight or other obvious toxicity. In summary, our preclinical data suggest that the orally available BET inhibitor TTI-281 has an excellent efficacy and safety profile, highlighting its potential as a promising drug candidate for myeloma therapy. Disclosures Wang: Trillium Therapeutics: Employment, Patents & Royalties. Choi:Trillium Therapeutics: Employment. Dove:Trillium Therapeutics: Employment, Patents & Royalties. Wang:Trillium Therapeutics: Employment. Schimmer:Novartis: Honoraria. Petrova:Trillium Therapeutics Inc: Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Uger:Trillium Therapeutics: Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Slassi:Trillium Therapeutics: Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".