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Record W4414042050 · doi:10.1016/j.esmoop.2025.105576

Phase I dose-escalation trial of AMXT 1501 dicaprate plus difluoromethylornithine: a dual-agent approach targeting immunosuppressive polyamine metabolism

2025· article· en· W4414042050 on OpenAlexaff
Sarina A. Piha‐Paul, Anthony W. Tolcher, Andrae Vandross, Alexander I. Spira, Mark R. Burns

Bibliographic record

VenueESMO Open · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsNexen (Canada)
FundersAminex Therapeutics
KeywordsMetabolismPhase (matter)Immune systemEnzymePolyamine

Abstract

fetched live from OpenAlex

BACKGROUND: Dysregulation of polyamine synthesis has been observed in various cancer cell types. A novel approach to depriving cancer cells of polyamines involves the use of difluoromethylornithine (DFMO) to block polyamine biosynthesis in combination with AMXT 1501, a potent inhibitor of polyamine transport. Preclinical mouse tumor models showed that the combination of AMXT 1501 plus DFMO had strong antitumor activity, together with evidence of a stimulated immune response against tumors. MATERIALS AND METHODS: This was a multicenter phase I, open-label, two-part dose-escalation study, with expansion, to evaluate the safety and preliminary efficacy of oral AMXT 1501 in combination with oral DFMO in patients with advanced solid tumors. In part 1, patients were treated with ascending doses of AMXT 1501 alone for 2 weeks and then in combination with DFMO for an additional 2 weeks. In part 2, AMXT 1501 was dosed with escalating DFMO doses to determine the recommended phase II dose (RP2D), with an expansion cohort to confirm the RP2D. Patients with unresectable, locally advanced, or metastatic solid tumors for which no standard therapy was recognized were eligible. RESULTS: A total of 56 patients were enrolled and treated (20, 22, and 14 in part 1, part 2, and expansion, respectively). Patients were heavily pretreated; the median number of prior cancer treatments was 10.0. The most common treatment-emergent adverse events (TEAEs) were diarrhea (39.3%), nausea (37.5%), and vomiting (33.9%). There were no grade 4 or 5 TEAEs and no deaths due to TEAEs. Moderate antitumor activity was observed with 2 patients with confirmed responses and 16 patients with stable disease for an overall response rate of 6% and a clinical benefit rate of 49%. CONCLUSIONS: Overall, AMXT 1501 in combination with DFMO was safe and tolerated with evidence of preliminary clinical activity. The RP2D was determined to be AMXT 1501 600 mg twice daily plus DFMO 500 mg. CLINICAL TRIAL IDENTIFICATION: NCT03536728.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.016
GPT teacher head0.324
Teacher spread0.308 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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