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Abstract B058: Clusterin overexpression in therapeutic T cell induces resistance to exhaustion

2024· article· en· W4402268368 on OpenAlexaboutno aff
Constantin Segner, Alisa Kolesnikova, Mansour Poorebrahim, Julia Höbart, Miriam Schulz, Busheng Xue, Christian Brückner, Alissia Fernandes Madeira, Julia Hauer, Jürgen Ruland, Poul H. Sorensen, Stefan Burdach

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicClusterin in disease pathology
Canadian institutionsnot available
Fundersnot available
KeywordsClusterinCancer researchMedicineBiologyImmunologyInternal medicineApoptosisGenetics

Abstract

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Abstract Ewing Sarcoma (EwS) is characterized by an immunosuppressive tumor microenvironment (TME), which promotes T cell exhaustion, among other factors by chronic inflammation and hypoxia. This results in decreased cytotoxicity and reduced functional capabilities of the immune effector cells. In previous studies, we demonstrated that CHM1319-327-specific transgenic T-cell receptor (TCR)-T cells, named ChoTCR-T cells, exhibit notable cytotoxic effects against EwS both in vitro and in vivo. As GD2 is an epitope commonly expressed in EwS, CAR-T cells targeting GD2 are an alternative approach for the treatment of EwS. Since T cell exhaustion is a major challenge in therapeutic T cells, especially in solid tumors, current research is focused on developing T cells that resist exhaustion. Clusterin (CLU) plays a crucial role in metastasis formation, as it prevents apoptosis and enhances stress tolerance in tumor cells. Therefore, we considered CLU a promising candidate protein for protecting therapeutic T cells. In this study, we wanted to assess the effects of CLU overexpression on exhaustion in therapeutic T cells. Our findings revealed decreased CLU expression across various therapeutic T-cell models upon stimulation with tumor cells. After overexpressing CLU in ChoTCR-T cells and Anti-GD2 CAR-T cells, we conducted co-culture studies with tumor cells and T cells over a period of up to 10 days to evaluate CLU's impact on exhaustion. Notably, engineered therapeutic T cells with CLU overexpression demonstrated decreased expression of the exhaustion markers PD-1, LAG-3, TIM-3, and CD39 during prolonged co-cultures of up to 10d. Additionally, they exhibited increased long-term cytotoxicity against diverse target expressing tumor cell lines and increased cytokine production. We also investigated CLU's influence on spheroid infiltration using an EwS spheroid model. CLU-overexpressing T cells demonstrated enhanced infiltration into the hypoxic core of the spheroids. Moreover, mass spectrometric analysis suggested potential mechanisms underlying these findings, including a resistance to hypoxia, and a reduced translational pathway signature in proteomic analysis. Consistently, under hypoxic conditions (1.5% O2), CLU-overexpressing T cells displayed better functionality and activation. Furthermore, the impact of CLU on the expression of exhaustion markers was increased under hypoxic culture conditions. In conclusion, CLU protects tumor-specific T-cells from both exhaustion and hypoxia in vitro, possibly enhancing their endurance within the TME. Thus, this protein represents an intriguing prospect for protecting therapeutic T cells from exhaustion, to overcome diminished therapeutic efficacy in both TCR- and CAR-T cells in solid tumors. Citation Format: Constantin Segner, Alisa Kolesnikova, Mansour Poorebrahim, Julia Höbart, Miriam Schulz, Busheng Xue, Christian Brückner, Alissia Fernandes Madeira, Julia Hauer, Jürgen Ruland, Poul H. Sorensen, Stefan EG Burdach. Clusterin overexpression in therapeutic T cell induces resistance to exhaustion [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr B058.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.127
GPT teacher head0.470
Teacher spread0.343 · 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.

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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