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PB1887: STING AGONIST FOR THE TREATMENT OF RELAPSED/REFRACTORY ACUTE MYELOID LEUKEMIA AND HIGH-RISK MYELODYSPLASTIC SYNDROME: A FIRST-IN-CLINIC PHASE 1 STUDY OF GSK3745417

2023· article· en· W4385655001 on OpenAlexaff
Pau Montesinos, Haifa Kathrin Al‐Ali, Juan Manuel Alonso‐Domínguez, Madlen Jentzsch, Mojca Lavrencic, Maria Paola Martelli, Christoph Röllig, Simona Sica, Iadevaia Riham, Kaitlin Yablonski, Tianli Wang, Zafar Mahmood, Giedre Koenen, Hank Schmidt, Jingsing Yang, Karen Yee

Bibliographic record

VenueHemaSphere · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMyeloid leukemiaMedicineStingMyelodysplastic syndromesLeukemiaAzacitidineTolerabilityStimulator of interferon genesInternal medicineCancer researchImmunologyBone marrowOncologyImmune systemInnate immune systemBiologyAdverse effect

Abstract

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Topic: 4. Acute myeloid leukemia - Clinical Background: Acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) are hematologic malignancies originating from immature myeloid progenitor cells within the bone marrow. Depending on age and genetic disposition, approximately 40%-60% of patients may have disease that is refractory to primary treatment, and of those who achieve initial complete response, over 40% will experience relapse. In the relapsed/refractory setting, median survival is inadequate, which highlights an unmet medical need. Within the cGAS-STING-TBK1 pathway, stimulator of interferon genes (STING) is the main adaptor molecule as it modulates the sensing of cytosolic DNA. STING activation mediates the generation of type I interferons (IFNα and IFNβ) and pro-inflammatory cytokines, drivers of T-cell–dependent antitumor immunity. In preclinical studies, STING agonists have also shown direct cytotoxic activity against AML cells in addition to their immune stimulatory activity. Compared with other tumor types, STING is expressed at a higher level in AML cells (The Cancer Genome Atlas, National Cancer Institute), which may explain the observed cytotoxicity upon STING activation (Gulen MF, et al. Nat Commun 2017.8:427). The high level of STING expression combined with preclinical evidence of antitumor activity makes AML an appropriate malignancy in which to determine proof of mechanism and investigate the clinical activity of GSK3745417, a novel STING agonist that has so far only been studied in solid tumors. Aims: The primary objectives are to evaluate the safety, tolerability, pharmacokinetics, pharmacodynamics, immunogenicity, and cytotoxicity of intravenously administered GSK3745417 in patients with relapsed or refractory AML or high-/very high-risk MDS. Methods: This is a first-in-clinic, phase 1, dose escalation (part 1) and dose expansion (part 2) study. Key eligibility criteria include patients who are 18 to 75 years of age with a diagnosis of relapsed or refractory AML (World Health Organization criteria) or high-/very high-risk MDS (Revised International Prognostic Scoring System) that has relapsed after or was refractory to prior therapy with a hypomethylating agent. Enrolment in part 1 dose escalation is ongoing, which comprises intrapatient dose escalation within cohorts to define a cohort-level maximum tolerated dose. Dosing in part 1 will consist of 3 initial induction cycles of GSK3745417 followed by a maintenance schedule. Part 2 includes an expansion cohort receiving the recommended induction regimen from part 1, followed by maintenance dose escalation. In total, approximately 72 patients will be enrolled: 22 patients in part 1 and 50 patients in part 2. Peripheral blood and bone marrow sampling will permit response assessment and biomarker analysis to elucidate the mechanism of GSK3745417 activity in AML and MDS. Results: Data for the primary endpoint are expected by the end of 2025. Summary/Conclusion: Accrual is ongoing. Clinical trial information: NCT05424380. Keywords: Acute myeloid leukemia, Clinical trial, MDS, MDS/AML

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.021
GPT teacher head0.288
Teacher spread0.267 · 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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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