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First-in-human phase 1/2 trial evaluating TAC01-CLDN18.2 autologous T cells in CLDN18.2-positive solid tumors.

2024· article· en· W4391091122 on OpenAlexaff
Ecaterina E. Dumbrava, Davendra Sohal, Daniel J. Olson, Samuel D. Saibil, Alejandro Urgelles, Maria Apostolopoulou, Amy Mueller, Kara M. Moss, Deyaa R Adib, Benjamin L. Schlechter, Syma Iqbal

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineCancerRadioimmunotherapyCancer researchOncologyInternal medicineMonoclonal antibodyAntibodyImmunology

Abstract

fetched live from OpenAlex

TPS419 Background: CLDN18.2 is a tight junction protein expressed in differentiated gastric epithelial cells and is abnormally expressed in various solid tumor types, serving as a promising target for therapy. To date, there are no approved therapies directed against this target, but compelling data exist using monoclonal antibodies and conventional CAR T therapy. The T Cell Antigen Coupler (TAC) technology is an approach to modifying T cells ex vivo, which allows recognition and cytotoxicity of tumor cells by co-opting the natural T cell receptor. The TAC technology has a safer profile than conventional CAR T therapies and is used to create an autologous TAC01-CLDN18.2 T cell product targeting CLDN18.2. Methods: This first in-human trial (NCT05862324) is designed to assess both the safety profile and preliminary antitumor activity of TAC01-CLDN18.2 in patients with CLDN18.2+/HER2- solid tumors after ≥ 2 lines of therapy. The phase 1 dose escalation segment employs a traditional 3+3 dose-escalation design to evaluate increasing doses of TAC01-CLDN18.2 with estimated enrollment numbers of 9 to 24 subjects. The subsequent phase 2 will further evaluate the efficacy, safety, and pharmacokinetics of the optimal TAC01-CLDN18.2 dose. With 3 cohorts, Group A will enroll up to 57 subjects with gastric and esophageal adenocarcinoma, Group B aims to enroll 10 subjects with pancreatic ductal adenocarcinoma (PDAC) while Group C will examine up to 22 subjects with ovarian and non-small cell lung cancer (NSCLC). Groups A and C will leverage a Simon 2-stage design to assess whether the treatment achieves efficacy, while Group B will be exploratory with an opportunity for cohort enrichment based on clinical data. Prior to TAC01-CLDN18.2 infusion, subjects will undergo leukapheresis and may receive bridging anticancer therapy as appropriate during cell manufacturing. CLDN18.2 expression levels will be determined centrally using a clinical trial assay validated across relevant indications. Subjects will then undergo low intensity lymphodepletion chemotherapy. A second dose of TAC01-CLDN18.2 may be administered based on prespecified safety and clinical criteria. Evaluation of DLTs will take place within a 28-day window following the first infusion. In both phases, CLDN18.2+/HER2- solid tumor patients must have completed at least two prior therapy lines except for PDAC patients who may qualify after one prior antineoplastic regimen. For phase 2, up to four prior treatment lines is permissible and definitions of eligible CLDN18.2 expression levels will be based on retrospective analysis of data from Phase 1 in association with clinical efficacy. The trial is currently in the open-enrollment stage, awaiting the inclusion of the inaugural patient. No data analysis is available as of the submission deadline. Clinical trial information: NCT05862324 .

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.002

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 head0.217
GPT teacher head0.589
Teacher spread0.372 · 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 designRandomized 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

Citations0
Published2024
Admission routes1
Has abstractyes

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