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Abstract CT038: A phase I, open-label, dose-escalation study to investigate the safety, pharmacokinetics, pharmacodynamics, and clinical activity of GSK3326595 in subjects with solid tumors and non-Hodgkin's lymphoma

2017· article· en· W2741869046 on OpenAlexaffabout
Drew Rasco, Anthony W. Tolcher, Lillian L. Siu, Kimberley M. Heinhuis, Sophie Postel‐Vinay, Olena Barbash, Jacqueline L. Egger, Shelby Gorman, Thierry Horner, Arindam Dhar, Brandon E. Kremer

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsTolerabilityMedicinePharmacodynamicsPharmacokineticsPharmacologyLymphomaOncologyToxicityInternal medicineAdverse effect

Abstract

fetched live from OpenAlex

Abstract Background Protein arginine methyltransferase 5 (PRMT5) is the primary enzyme responsible for symmetric arginine dimethylation of multiple proteins that impact cell proliferation. Its substrates include histones and proteins involved in signal transduction, gene transcription, DNA repair, and mRNA splicing. PRMT5 overexpression occurs in a number of different cancers, and higher expression is correlated with poor prognosis. Additional published data implicates PRMT5 in tumorigenesis, and as such it represents a novel target for therapeutic intervention in oncology. GSK3326595 is a potent, specific, and reversible inhibitor of PRMT5 that inhibits proliferation and induces cell death in a broad range of solid and hematologic tumor cell lines. It also exhibits potent antitumor activity in vivo in animal models. Methods Study 204653 is a Phase I, two-part, open-label, dose escalation/expansion study assessing the safety and tolerability of GSK3326595 in adult subjects with relapsed/refractory solid tumors and non-Hodgkin’s lymphoma. Dose escalation is being performed in subjects with solid tumors of any histology. An accelerated dose titration is employed with one subject per dose level until the occurrence of a ≥ Grade 2 non-disease related toxicity. Thereafter, subjects are enrolled in cohorts of approximately 3, and a modified toxicity probability interval (mTPI) method is used to guide dose escalation decisions. Dose escalation continues until the maximum tolerated dose (MTD) is identified. All data, including safety, tolerability, pharmacokinetics (PK), pharmacodynamics (PD), and clinical activity, will be used to identify a recommended Phase 2 dose (RP2D). In Part 1, approximately 42 subjects are to be enrolled (30 subjects in dose escalation and an additional 12 subjects at or about the MTD to collect additional data, including PD and metabolites); no hypothesis will be tested, and all analysis will be descriptive and exploratory. In Part 2, the clinical activity of GSK3326595 will be evaluated in expansion cohorts of subjects with select tumor types. Based on preclinical data, enrollment is initially limited to subjects with triple-negative breast cancer (TNBC), metastatic bladder cancer (mBC), glioblastoma multiforme (GBM), and non-Hodgkin’s lymphoma (NHL); additional cohorts may be added based on emerging preclinical and clinical data. Two cohorts of NHL are scheduled, allocated by TP53 wild type versus mutant status. Up to 138 subjects may be enrolled in Part 2, and cohorts may be closed early for futility. As of 17 January 2017, recruitment is ongoing across four centers (USA, Canada, Netherlands, and France), and four subjects have been enrolled into the dose-escalation cohorts. ClinicalTrials.gov identifier: NCT02783300 Study is funded by GlaxoSmithKline Citation Format: Drew Rasco, Anthony Tolcher, Lillian L. Siu, Kimberley Heinhuis, Sophie Postel-Vinay, Olena Barbash, Jacqueline L. Egger, Shelby Gorman, Thierry Horner, Arindam Dhar, Brandon E. Kremer. A phase I, open-label, dose-escalation study to investigate the safety, pharmacokinetics, pharmacodynamics, and clinical activity of GSK3326595 in subjects with solid tumors and non-Hodgkin's lymphoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr CT038. doi:10.1158/1538-7445.AM2017-CT038

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)0.002
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 score0.730
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.088
GPT teacher head0.487
Teacher spread0.400 · 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

Citations16
Published2017
Admission routes2
Has abstractyes

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