Abstract LB-108: A potent and selective small molecule degrader of STAT5 for the treatment of hematological malignancies
Bibliographic record
Abstract
Abstract STAT5 is a member of the signal transducer and activator of transcription family of proteins and is widely recognized as an oncogenic master regulator of hematological malignancies. To date, therapeutic approaches to attenuate aberrant activity have focused on upstream kinase targets such as JAK2, Bcr-Abl, Flt3, and Flt3-ITD. To date, there is no STAT5-selective inhibitor in clinical development. More recently, PROTAC approaches have been deployed successfully against the STAT3 isoform and demonstrated efficacy and safety in preclinical models. We herein report the identification of a potent and selective, non-PROTAC, small molecule degrader of STAT5 protein, JPX-0750. Upon binding, JPX-0750 covalently and selectively binds to a cysteine residue on STAT5 via an electrophilic warhead, which induces profound destabilization of STAT5. The unfolding/destabilization effect can be observed via Western blot, isothermal denaturation of purified protein and HDX exchange. In a range of AML and TPLL cell lines exposure to JPX-750 at nM concentrations leads to a rapid and dose-dependant degradation of both phospho-STAT5 and total STAT5 with resultant IC50's between 80-200 nM. Washout experiments determined that exposure to JPX-0750 at 1 µM for 2-4 h is sufficient to degrade STAT5, inhibit downstream targets, and induce apoptosis. Moreover, in the same washout experiments, 50% STAT5 recovery post-washout required >72 h suggesting a long pharmacodynamic effect. Against STAT3, degrading effects are observed later, 24 h post washout (6 h treatment), indicating that anti-STAT5 activity is more rapid in AML cells and in line with the inherent stability of each protein. No effect was observed on either STAT1 or pSTAT1 upon exposure to JPX-750. Importantly, compared to standard AML cell lines JPX-750 demonstrated similar low nM potency in 25/30 primary AML blasts and TPLL patient samples, including those with poor prognostic markers. JPX-750 exhibits a large therapeutic window for AML versus pooled human fibroblasts and hematopoietic stem cells (ca 100 fold). In a preclinical MV4;11 luciferase model, structurally related JPX-700, at 5 mg/kg (IP, qd) significantly reduced leukemic burden, suppressed tumour dissemination to both the lung and liver, and had no effect on body weight, organ histology or blood parameters. In summary, JPX-750 represents a new class of potent and selective small molecule degraders of STAT5 protein. Citation Format: Ji Sung Park, Gary Tin, Elvin D. de Araujo, Anna Orlova, Helena Sorger, Florian Grebien, Elizabeth Heyes, Mulu Geletu, Ruth Villalonga, Angel Sampedro, Abootaleb Sedighi, Marco Herling, Satu Mustjoki, Mohammad S. Eram, Siawash Ahmar, Richard Moriggl, Jeff A. O'Meara, John Proudfoot, Kay Noel, Dziyana Kraskouskaya, Roman Fleck, Patrick T. Gunning. A potent and selective small molecule degrader of STAT5 for the treatment of hematological malignancies [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr LB-108.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".