NLRC5 expression within tumor cells is critical to activate adaptive and innate antitumor immune responses
Bibliographic record
Abstract
Abstract Introduction Tumors downregulate NLRC5 expression to reduce MHC-I and evade CD8+ T cell–mediated killing. Introducing full-length NLRC5 (N5FL) or NLRC5-CIITA chimeric protein (N5CA) can restore tumor immunogenicity. Here, we elucidated the underlying mechanisms and also evaluated the requirement of NLRC5 expression in antigen-presenting cells (APCs) of the host for tumor control. Materials and methods Nlrc5−/− and Nlrc5+/+ mice were implanted with B16-F10 melanoma expressing N5FL or NC5A. Tumor growth, activation of lymphoid cells, their infiltration into tumors and the requirement for tumor control were assessed. The proteomes of B16-F10 cells expressing N5FL or N5CA were analyzed. Results NLRC5-expressing tumors were efficiently controlled in both Nlrc5+/+ and Nlrc5−/− mice, characterized by infiltration of CD8+ and CD4+ cells, natural killer (NK) cells, NK T (NKT) cells and invariant NKT (iNKT) cells, increased tumor vascularization and upregulation of Ccl4 and Cxcl9 genes. Both CD8+ and NK1.1+ cells contribute to NLRC5-dependent tumor control. NLRC5 expression in the Tumor Cancer Genome Atlas–skin cutaneous melanoma correlated with NK cell markers and nonclassical MHC-Ib expression. Proteomes of NLRC5-expressing tumor cells showed downmodulation of dominant tumor antigens, but displayed significant changes in the lysosome and the proteasome pathways, upregulated the protein processing in endoplasmic reticulum pathway, and downregulated the autophagy pathway, all of which could impact processing and presentation of subdominant tumor antigens. Conclusion NLRC5 expression in APCs is dispensable for NLRC5-dependent antitumor immunity. NLRC5-dependent tumor control requires both CD8+ and NK1.1+ cells. Tumor-intrinsic NLRC5 promotes vasculature that is permissive to infiltration by antitumor immune cells. In addition to upregulating MHC-I, NLRC5 may enhance alternative antigen-processing pathways and attenuate autophagic degradation of MHC-I, thereby augmenting tumor immunogenicity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".