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Abstract CT194: N-myristoylation inhibitor zelenirstat: New mechanistic insights and efficacy signals from a first in human phase I study

2024· article· en· W4393988289 on OpenAlexaff
Luc G. Berthiaume, Erwan Beauchamp, Jay M. Gamma, Rony Pain, Morris A. Kostiuk, Christopher R. Cromwell, Eman W. Moussa, Olivier Julien, Basil P. Hubbard, John Kuruvilla, Laurie H. Sehn, Jennifer L. Spratlin, Rahima Jamal, Randeep Sangha, John R. Mackey

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhosphodiesterase function and regulation
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversity of British ColumbiaPrincess Margaret Cancer CentreUniversity of Alberta
Fundersnot available
KeywordsMyristoylationPharmacologyMedicineChemistryBiochemistry

Abstract

fetched live from OpenAlex

Abstract Introduction. Zelenirstat (PCLX-001) is a small molecule inhibitor of N-myristoylation, a process that involves addition of the fatty acid myristate to over 200 proteins by two N-myristoyltransferases (NMT1 and 2). These include Src family kinases and c-Abl. Inhibition of N-myristoylation by zelenirstat leads to the degradation of non-myristoylated proteins and cancer cell death. We conducted a phase I trial to evaluate the safety, tolerability, and maximally tolerated dose (MTD) of zelenirstat in patients with refractory cancer. Methods. Differential mass spectrometry was performed in NMT1 and NMT2 CRISPR/Cas9 KOs or zelenirstat-treated HAP1 cells to identify N-myristoylation-regulated proteins. Fully consented patients with advanced solid malignancies or refractory B-cell lymphomas were administered escalating doses of zelenirstat in 28-day cycles until progression or dose-limiting toxicity (DLT). Results. Proteomic analysis of cells with genetic or pharmacological NMT inhibition was performed to gain insights into NMT substrates and function. In addition to the rapid degradation of SFKs, which disrupts the pro-survival signaling of RTKs, we identified multiple respiratory complex I proteins as the most degraded, including NDUFAF4. NMT1 KO and zelenirstat treatment disrupted complex I leading to oxidative phosphorylation (OXPHOS) inhibition, which is essential for both cancer stem cell survival and metastasis. Continuous once-daily zelenirstat at 20 mg to 210 mg was well tolerated, with no dose-limiting toxicities in 24 patients up to and including 210 mg. Gastrointestinal DLTs were observed in the 280 mg cohort, establishing 210 mg as the MTD. Oral absorption was rapid, and pharmacokinetics were suitable for once daily dosing. Seven patients had stable disease as best response, including pancreatic, ovarian and colon cancer patients; one colon cancer patient with 5 prior lines of therapy continues 210 mg beyond 11 cycles with reduction in carcinoembryonic antigen (CEA) and tumor dimensions. Kaplan-Meier analysis revealed longer progression-free survival (log-rank p=0.033) and overall survival (p=0.026) in the patients treated at 210 mg (n=7) when compared with patients treated in lower dose cohorts (n=17). Conclusion. Zelenirstat has a unique dual impact on growth signaling and OXPHOS. Having previously demonstrated pre-clinical efficacy in hematologic cancers in vitro and in vivo, we now demonstrate the therapeutic potential of zelenirstat in patients with refractory advanced solid malignancies, warranting further clinical evaluation in these indications. Citation Format: Luc Gerard Berthiaume, Erwan Beauchamp, Jay Gamma, Rony Pain, Morris A. Kostiuk, Christopher R. Cromwell, Eman W. Moussa, Olivier Julien, Basil P. Hubbard, John Kuruvilla, Laurie H. Sehn, Jennifer Spratlin, Rahima Jamal, Randeep Sangha, John R. Mackey. N-myristoylation inhibitor zelenirstat: New mechanistic insights and efficacy signals from a first in human phase I study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr CT194.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.402
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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