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Record W4406487264 · doi:10.1136/jitc-2024-010579

Pancreatic cancer cell-intrinsic transglutaminase-2 promotes T cell suppression through microtubule-dependent secretion of immunosuppressive cytokines

2025· article· en· W4406487264 on OpenAlexaff
Anton Lahusen, Nora Minhöfer, Kim-André Lohse, Christine Blechner, Jessica Lindenmayer, Tim Eiseler, Anton Wellstein, Alexander Kleger, Thomas Seufferlein, Sabine Windhorst, Yuan‐Na Lin

Bibliographic record

VenueJournal for ImmunoTherapy of Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicBlood properties and coagulation
Canadian institutionsPancreas Centre (Canada)
FundersDeutsche Forschungsgemeinschaft
KeywordsSecretionTissue transglutaminaseCancer researchMicrotubuleCancerCell biologyPancreatic cancerCellT cellMedicineBiologyImmunologyInternal medicineImmune systemEnzyme

Abstract

fetched live from OpenAlex

Background Pancreatic ductal adenocarcinoma (PDAC) is mostly refractory to immunotherapy due to immunosuppression in the tumor microenvironment and cancer cell-intrinsic T cell tolerance mechanisms. PDAC is described as a “cold” tumor type with poor infiltration by T cells and factors leading to intratumoral T cell suppression have thus received less attention. Here, we identify a cancer cell-intrinsic mechanism that contributes to a T cell-resistant phenotype and describes potential combinatorial therapy. Methods We used an unbiased screening approach of T cell resistant and sensitive murine KPC ( Kras LSL-G12D/+ ; Trp53 fl/fl ; Ptf1a Cre/+ ) PDAC cells in a three-dimensional co-culture platform with syngeneic antigen-educated T cells to identify potential cell-intrinsic drivers of T cell suppression in PDAC. Comparative transcriptomic analysis was performed to reveal promising candidates that mediate resistance to T cells. We investigated their contribution by shRNA-mediated knockdown and pharmacological inhibition in murine in vitro and in vivo studies, as well as in patient-derived organoids (PDOs). A combination of transcriptomic analyses, cytometric and immunohistochemistry techniques allowed us to validate the underlying T cell response phenotypes of PDAC cells. The action of TGM2 via interaction with tubulin and the impact of microtubule dynamics and vesicle trafficking were evaluated by protein analyses and live-cell imaging. Correlation analyses via TCGA data complemented the functional studies. Results We identified transglutaminase 2 (TGM2) as a mediator of T cell suppression in PDAC. We report that high levels of TGM2 expression in patients’ tumors correlate with immunosuppressive signatures and poor overall survival. We found that TGM2 regulates vesicle trafficking by modulating microtubule network density and dynamics in pancreatic cancer cells, thus facilitating the secretion of immunosuppressive cytokines, which impair effector T cell functionality. In TGM2-expressing PDOs, pharmacological TGM2 inhibition or treatment with nocodazole increased T cell-mediated apoptosis. Also, pretreatment of TGM2 high PDOs with sublethal doses of the spindle poisons paclitaxel or vincristine increased CD8+T cell activation and sensitized PDOs toward T cell-mediated cytotoxicity. Conclusions These findings indicate that targeting microtubular function therapeutically may enhance antitumor T cell responses by impacting activity of immunosuppressive cytokines in the PDAC microenvironment.

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 score0.095
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.014
GPT teacher head0.303
Teacher spread0.289 · 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

Citations11
Published2025
Admission routes1
Has abstractyes

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