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Record W4362592768 · doi:10.1158/1538-7445.am2023-3281

Abstract 3281: GEN1042 (DuoBody-CD40x4-1BB)®in combination with PD-1 blockade reverses T-cell exhaustion <i>in vitro</i>

2023· article· en· W4362592768 on OpenAlexaff
Vanessa Spires, Gregg Masters, Christina Yu, Matt Hancock, Monique N. Luijten, Alexander Muik, Kristina Nuermberger, Friederike Gieseke, Tahamtan Ahmadi, Özlem Türeci, Maria Jure‐Kunkel, Uğur Şahin, Mark Fereshteh, Homer Adams, Jordan M. Blum

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsCD28T cellCD40Priming (agriculture)Immune systemIL-2 receptorMixed lymphocyte reactionCytokineImmunologyBiologyChemistryCancer researchIn vitroCytotoxic T cellBiochemistry

Abstract

fetched live from OpenAlex

Abstract GEN1042 (DuoBody®-CD40x4-1BB) is an investigational, novel, agonistic, bispecific antibody that combines targeting and conditional activation of CD40 and 4-1BB on immune cells for priming and (re-) activation of tumor-specific immune responses. We previously showed that GEN1042 induces conditional CD40 and 4-1BB agonist activity, leading to dendritic-cell maturation and enhanced T-cell activation and effector functions in vitro. However, dysfunction of exhausted T cells in the solid tumor microenvironment may represent a potential resistance mechanism to checkpoint inhibitors/agonists. Here we utilized a multi-omics approach to evaluate whether GEN1042 could reverse T-cell exhaustion in vitro. Publicly available single cell RNA sequencing datasets were harmonized across multiple solid-tumor indications (including treatment-naïve and anti-PD-1 and/or anti-CTLA-4 pretreated samples) and analyzed for expression of CD40, 4-1BB and PD-1 on various immune-cell subsets based on their transcriptomic signatures to characterize target prevalence. In vitro mixed lymphocyte reaction (MLR) functional assays were performed where unstimulated healthy donor CD3+ T cells or CD3+ T cells exhausted by repeated stimulation with anti-CD3/CD28 beads were co-cultured with allogeneic lipopolysaccharide (LPS)-matured dendritic cells. Cultures were analyzed for cytokine secretion and expression of cell surface proteins. In the unstimulated T cell/mDC MLR assay, concurrent treatment with GEN1042 and PD-1 blockade potentiated IFNγ, TNFα and IL-2 production compared with either compound alone. In the T-cell exhaustion MLR assay, T cells showed increased expression of inhibitory receptors (e.g., TIM-3, LAG-3) and exhibited hyporesponsiveness for both proliferation and cytokine secretion upon restimulation with anti-CD3/CD28 beads. Here, the combined functional effect of GEN1042 plus PD-1 blockade further potentiated IFNγ secretion compared to single agent activity and induced IL-2 at similar levels to that observed for GEN1042 alone. These data suggest that, in addition to enhancing T-cell effector functions during T cell priming, GEN1042 can amplify the magnitude of the immune response in combination with PD-1 blockade by re-establishing the functional activity of dysfunctional T cells. GEN1042 is currently being evaluated in patients with advanced solid tumors in a phase 1/2 clinical trial (NCT04083599). Citation Format: Vanessa M. Spires, Gregg Masters, Christina Yu, Matt Hancock, Monique N. Luijten, Alexander Muik, Kristina Nuermberger, Friederike Gieseke, Tahamtan Ahmadi, Özlem Türeci, Maria Jure-Kunkel, Ugur Sahin, Mark Fereshteh, Homer C. Adams, Jordan M. Blum. GEN1042 (DuoBody-CD40x4-1BB)®in combination with PD-1 blockade reverses T-cell exhaustion in vitro [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3281.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.066
GPT teacher head0.386
Teacher spread0.320 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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