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Record W4414465211 · doi:10.1158/2326-6074.cimm25-a022

Abstract A022: Therapeutic inhibition of TREX1 elicits type I interferon–mediated antitumor immunity with minimal autoimmune toxicity

2025· article· en· W4414465211 on OpenAlexaboutno aff
Cong Xing, Nan Yan

Bibliographic record

VenueCancer Immunology Research · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsnot available
Fundersnot available
KeywordsImmune systemKnockout mouseImmunotherapyCancer immunotherapyImmunityDownregulation and upregulationInflammationCancerInterferonCytotoxic T cell

Abstract

fetched live from OpenAlex

Abstract Background: Three-prime repair exonuclease 1 (TREX1) is a cytosolic DNase that suppresses cGAS–STING–mediated type I interferon (IFN-I) responses by degrading self-DNA. While this function is essential for immune homeostasis—highlighted by the fact that TREX1 loss causes autoimmune disorders such as Aicardi-Goutières syndrome—many cancers exploit TREX1 upregulation to evade immune surveillance, particularly following genotoxic therapies. Therapeutically inhibiting TREX1 offers an opportunity to re-engage IFN-I–driven antitumor immunity, but it also raises concerns about triggering immune-related adverse events. Here, we aimed to define the therapeutic benefit and immune safety of targeting TREX1 in vivo. Methods: We employed a multimodal strategy to assess the therapeutic potential and safety of targeting TREX1. First, we conducted a high-throughput screen to identify small-molecule inhibitors of TREX1 and evaluated lead compound #296 in syngeneic mouse tumor models. Second, we tested TREX1-deficient tumor cells as autologous cancer vaccines. Finally, we generated inducible whole-body Trex1 knockout mice to model systemic TREX1 inhibition and assess its long-term immune safety. Results: Lead compound #296 selectively inhibited TREX1 enzymatic activity, triggered IFN-I signaling in tumor cells, and significantly suppressed tumor growth in multiple syngeneic mouse models. Treatment with #296 enhanced CD8+ T cell infiltration and reversed resistance to anti–PD-1 therapy in poorly immunogenic B16-F10 melanoma, without inducing systemic inflammation or elevated CRP. TREX1-deficient tumor cells activated tumor-intrinsic cGAS–STING signaling and functioned as effective autologous cancer vaccines, eliciting durable systemic antitumor immunity that protects against both tumor rechallenge and metastasis. Importantly, systemic TREX1 deletion in adult mice using an inducible knockout model led to sustained tumor suppression across diverse tumor models, while maintaining immune safety over 6 months with minimal immune toxicity. Conclusions: Our study reveals TREX1 as a druggable target to stimulate IFN-I–driven antitumor immunity. Across three distinct therapeutic approaches—small-molecule inhibitor, cell-based vaccination, and systemic gene knockout—TREX1 targeting elicited durable tumor control with minimal autoimmune toxicity, supporting its translational potential as a safe and effective cancer immunotherapy. Citation Format: Cong Xing, Nan Yan. Therapeutic inhibition of TREX1 elicits type I interferon–mediated antitumor immunity with minimal autoimmune toxicity [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity; 2025 Sep 24-27; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(9 Suppl):Abstract nr A022.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.172
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.050
GPT teacher head0.362
Teacher spread0.313 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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