Abstract 684: DT-9045, a novel PAR2 inhibitor with best-in-class properties that reduces resistance to both EGFR-targeting therapies and immunotherapy in oncology models
Bibliographic record
Abstract
Abstract Protease-activated receptor 2 (PAR2) is a promising therapeutic target in oncology and immuno-oncology. It is upregulated and associated with poor prognosis in several cancer types. A pan-cancer meta-analysis showed that PAR2 is one of the genes most significantly associated with resistance to immune checkpoint blockade (ICB) and T cells dysfunction in cancer patients. Mechanistically, being expressed by various cells of the tumor microenvironment, PAR2 promotes both survival and proliferation of cancer cells and dampens the anti-cancer immune response. Domain Therapeutics has developed a novel PAR2 inhibitor, DT-9045, with best-in-class properties. Indeed, compared to its most advanced competitors, DT-9045 is a small molecule, orally bioavailable, insurmountable, biased, and active in tumor-like conditions (i.e. acidic pH and high level of activating proteases). This compound is also highly potent and selective on PAR2. Pharmacokinetic properties are suitable with a once-a-day oral administration. In vitro, DT-9045 completely prevented PAR2-mediated resistance to EGFR-targeting drugs. In vivo, its combination with anti-PD1 therapy showed a significant increase in efficacy over monotherapies in preclinical syngeneic mouse cancer models. This result was similar to the one observed in PAR2 knockout mice, indicating that oral administration of DT-9045 induces a complete inhibition of the receptor. We have further demonstrated that treatment with a PAR2 inhibitor enhances dendritic cell-mediated T cell activation and intratumoral infiltration of CD4+ and CD8+ T cells as well as a decrease in M2 macrophage infiltration. In conclusion, Domain Therapeutic has identified a novel PAR2 inhibitor, DT-9045, with clear competitive advantages. This preclinical candidate has shown strong potency in alleviating the resistance to both EGFR-targeting therapies and immunotherapy in preclinical cancer models. IND-enabling studies are currently ongoing to bring this new hope for cancer patients to the clinic. Citation Format: Thibaut Brugat, Maleck Kadiri, Samya Aouad, Anne-Laure Blayo, Baptiste Rugeri, Antoine Mousson, Aurélie Janvier, Edith Steinberg, Luc Baron, Mandy Recolet, Xavier Wirth, Maria Jesus Garcia-Leon, Quentin Ruet, Meriem Semache, Laurent Sabbagh, Orphée Blanchard, Christel Franchet, Stanislas Mayer, John Stagg, Nathalie Lenne, Stephan Schann. DT-9045, a novel PAR2 inhibitor with best-in-class properties that reduces resistance to both EGFR-targeting therapies and immunotherapy in oncology models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 684.
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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) | 0.003 | 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".