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A phase II study of MT-3724, a novel CD20-targeting engineered toxin body, to evaluate safety, pharmacodynamics, and efficacy in subjects with relapsed or refractory diffuse large B-cell lymphoma.

2020· article· en· W3032561883 on OpenAlexaff
Adolfo Enrique Diaz Duque, Tetiana Perekhrestenko, Vasile Musteata, Mamia Zodelava, Troy H. Guthrie, Thomas Strack, Christine Burnett, Sarah Wilson, Roger J. Waltzman, Tara Baetz, Daniel O. Persky

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsMedicineCD20LymphomaAdverse effectOfatumumabOncologyInternal medicinePharmacodynamicsRituximabPharmacologyCancer researchPharmacokinetics

Abstract

fetched live from OpenAlex

TPS8074 Background: Engineered toxin bodies (ETBs) are comprised of a proprietarily engineered form of Shiga-like Toxin A subunit (SLT-A) genetically fused to antibody-like binding domains. ETBs work through novel mechanisms of action and are capable of forcing internalization, self-routing through intracellular compartments to the cytosol, and inducing potent cell-kill via the enzymatic and permanent inactivation of ribosomes. MT-3724 represents a novel ETB modality comprised of an anti-CD20 single-chain variable fragment genetically fused to SLT-A. It is capable of efficient internalization once bound to CD20 and can induce potent direct cell-kill via enzymatic ribosome inactivation. MT-3724 is currently being studied in three ongoing Phase 2 studies for relapsed or refractory diffuse large B-cell lymphoma (r/rDLBCL). Methods: The primary objective of this single-arm, Phase 2 study (NCT02361346) is to determine the efficacy of MT-3724 monotherapy in r/rDLBCL based on overall response rate (ORR), defined as the proportion of subjects with a complete/partial response according to the Lugano criteria, as assessed by independent, central review. Key secondary objectives include safety, progression-free survival, investigator‐assessed ORR, duration of response, overall survival, and pharmacodynamics. Adverse events will be assessed and documented according to Common Terminology Criteria for Adverse Events version 5.0. Key eligibility criteria include adult subjects with histologically confirmed, r/rDLBCL, with ≥2 prior standard of care systemic NHL treatment regimens, and ≥1 measurable lesion. As rituximab and other CD20-targeting antibodies compete with MT-3724 for the same CD20 domain, minimum washout periods from these agents must be observed. Subjects remain eligible post stem cell transplant or chimeric antigen receptor T-cell therapy. Subjects will receive 50 µg/kg MT-3724 IV over 1 hour on Days 1, 3, 5, 8, 10 and 12 of a 21-day treatment cycle. The anticipated sample size is N = 100. Interim analyses will be performed to confirm minimum efficacy thresholds based on the encouraging data observed in the completed phase 1 portion of the study [Hamlin et al. Blood 2019;134(Suppl 1):4098]. Multiple global sites are enrolling subjects. Clinical trial information: NCT02361346 .

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 score0.003
Threshold uncertainty score0.011

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)0.0030.001

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 head0.101
GPT teacher head0.465
Teacher spread0.363 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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