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400 Preclinical characterization and modelling of allogeneic Vγ9Vδ2 TAC T cells for the treatment of solid tumors

2023· article· en· W4388047947 on OpenAlexaboutno aff
Stacey X. Xu, Suzanna L. Prosser, Ling Wang, Ritu R. Randhawa, Sailaja Pirati, Kyle MacDonald, Seung Mi Yoo, Mi-Young Jung, Laurentia A Gheorghiu, Chris Ayers, Sadhak Sengupta, Christopher W. Helsen, Andreas G. Bader

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2023
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsCancer researchAntigenT cellCytotoxic T cellCell therapyImmunotherapyChimeric antigen receptorImmunologyIn vivoAntigen-presenting cellBiologyMedicineIn vitroImmune systemCell biologyStem cell

Abstract

fetched live from OpenAlex

<h3>Background</h3> The T cell antigen coupler (TAC) is a novel, proprietary chimeric receptor that facilitates the redirection of T cells to tumor cells and activates T cells by co-opting the endogenous T cell receptor complex with the goal to elicit safe and durable anti-tumor responses. TAC01-HER2, a first-in-class, autologous TAC T cell product targeting HER2 (ERBB2), has entered a phase I/II clinical trial in patients with HER2-positive solid tumors. Vγ9Vδ2 (γδ) T cells belong to a subset of T cells that recognize target cells independent of human leukocyte antigen (HLA). Consequently, γδ T cells do not cause graft-versus-host (GvH) disease and thus, have the potential for allogeneic cell therapy applications. Here, we present preclinical data of an allogeneic HER2-TAC product based on Vγ9Vδ2 T cells. <h3>Methods</h3> The potency and safety of HER2-TAC γδ T cells generated from multiple donors was evaluated using various <i>in vitro</i> and <i>in vivo</i> assays. Flow cytometric analysis was used to determine cellular phenotypes, intracellular cytokines, CD69 upregulation, and T cell proliferation in response to target antigen. Cytotoxicity was assessed via both luciferase-based killing and real-time microscopy-based co-culture assays. To assess HER2-TAC γδ T cell responses to HLA mismatches between unrelated donors, mixed lymphocyte reactions (MLR) were performed using dendritic cells representing the major North American HLA subtypes. <i>In vivo</i> studies examined the anti-tumor effects of HER2-TAC γδ T cells against established HER2-expressing solid tumors. <h3>Results</h3> HER2-TAC γδ T cells selectively reacted to HER2-expressing tumor cells<i> in vitro</i>, as measured by CD69 upregulation, intracellular cytokine production, proliferation, and cytotoxicity. In contrast, HER2-TAC γδ T cells failed to show proliferative activity in MLR assays, indicating that HER2-TAC γδ T cells are likely free of GvH reactivity. In addition, HER2-TAC γδ T cells showed strong anti-tumor efficacy in HER2-positive tumor xenograft models without signs of toxicity. Similar anti-tumor efficacy was observed in both NSG mice bearing the human IL-15 transgene (Tg-hIL-15) and NSG mice supplemented with exogenous IL-15. Comparison of serum IL-15 levels between Tg-hIL15 mice and NSG mice with cytokine supplementation revealed significantly lower levels in Tg-hIL15 mice, suggesting that Tg-hIL15 mice may be a more physiologically relevant model to study γδ T cells <i>in vivo</i>. <h3>Conclusions</h3> HER2-targeted TAC γδ T cells display strong and specific activity against HER2-expressing tumor models <i>in vitro</i> and <i>in vivo.</i> This highlights the versatility of the TAC platform and its potential in the development of an allogeneic product for therapeutic applications in solid tumors. <h3>Ethics Approval</h3> Animal studies performed for the work presented in this abstract were conducted under the Animal Utilization Protocol (AUP) # 20–10-37 and approved by the Animal Research Ethics Committee at McMaster University (Hamilton, ON, Canada).

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.084
GPT teacher head0.330
Teacher spread0.246 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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