NLRP3 activation promotes cGAS/STING signaling and antitumor immunity by colorectal cancer cells
Bibliographic record
Abstract
INTRODUCTION: Colorectal cancer (CRC) is a highly prevalent and deadly disease that is largely refractory to immunotherapy. The only CRC subset that responds to these therapies is characterized by prevalent microsatellite instability (MSI), extensive CD8+ T cell infiltration and high expression of innate immune signaling pathways. Endogenous activation of the cGAS/STING pathway is essential for this CD8+ T cell antitumor response in MSI CRCs, suggesting that activating it in other CRCs could boost immunotherapy response rates. In contrast, activation of the NLRP3 inflammasome is typically associated with tumor-promoting inflammation although this has primarily been studied in immune cells. METHODS: We used a mixture of flow cytometry, activation assays, in vivo orthotopic models and patient-derived organoids to investigate the effect of NLRP3 activation in CRC cells on cGAS/STING-mediated antitumor immunity. RESULTS: Our results show that activation of the NLRP3 inflammasome specifically in CRC cells boosts cGAS/STING signaling in both MSI and non-MSI CRCs and that dual stimulation increases CD8+ T cell-mediated antitumor immunity. The ability of NLRP3 to enhance cGAS/STING signaling was specific and did not occur with activation of other innate immune pathways such as AIM2 or TLRs. Enhancement of cGAS/STING signaling by NLRP3 proceeded via a positive feedback loop that was inflammasome-independent and required early crosstalk between the signaling mediators and regulation of their gene expression. CONCLUSIONS: Activation of NLRP3 specifically in CRC cells could be a promising strategy to boost antitumor immunity in otherwise immunotherapy resistant CRCs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".